---
_id: '457'
abstract:
- lang: eng
text: Temperate bacteriophages integrate in bacterial genomes as prophages and represent
an important source of genetic variation for bacterial evolution, frequently transmitting
fitness-augmenting genes such as toxins responsible for virulence of major pathogens.
However, only a fraction of bacteriophage infections are lysogenic and lead to
prophage acquisition, whereas the majority are lytic and kill the infected bacteria.
Unless able to discriminate lytic from lysogenic infections, mechanisms of immunity
to bacteriophages are expected to act as a double-edged sword and increase the
odds of survival at the cost of depriving bacteria of potentially beneficial prophages.
We show that although restriction-modification systems as mechanisms of innate
immunity prevent both lytic and lysogenic infections indiscriminately in individual
bacteria, they increase the number of prophage-acquiring individuals at the population
level. We find that this counterintuitive result is a consequence of phage-host
population dynamics, in which restriction-modification systems delay infection
onset until bacteria reach densities at which the probability of lysogeny increases.
These results underscore the importance of population-level dynamics as a key
factor modulating costs and benefits of immunity to temperate bacteriophages
article_processing_charge: No
author:
- first_name: Maros
full_name: Pleska, Maros
id: 4569785E-F248-11E8-B48F-1D18A9856A87
last_name: Pleska
orcid: 0000-0001-7460-7479
- first_name: Moritz
full_name: Lang, Moritz
id: 29E0800A-F248-11E8-B48F-1D18A9856A87
last_name: Lang
- first_name: Dominik
full_name: Refardt, Dominik
last_name: Refardt
- first_name: Bruce
full_name: Levin, Bruce
last_name: Levin
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Pleska M, Lang M, Refardt D, Levin B, Guet CC. Phage-host population dynamics
promotes prophage acquisition in bacteria with innate immunity. Nature Ecology
and Evolution. 2018;2(2):359-366. doi:10.1038/s41559-017-0424-z
apa: Pleska, M., Lang, M., Refardt, D., Levin, B., & Guet, C. C. (2018). Phage-host
population dynamics promotes prophage acquisition in bacteria with innate immunity.
Nature Ecology and Evolution. Springer Nature. https://doi.org/10.1038/s41559-017-0424-z
chicago: Pleska, Maros, Moritz Lang, Dominik Refardt, Bruce Levin, and Calin C Guet.
“Phage-Host Population Dynamics Promotes Prophage Acquisition in Bacteria with
Innate Immunity.” Nature Ecology and Evolution. Springer Nature, 2018.
https://doi.org/10.1038/s41559-017-0424-z.
ieee: M. Pleska, M. Lang, D. Refardt, B. Levin, and C. C. Guet, “Phage-host population
dynamics promotes prophage acquisition in bacteria with innate immunity,” Nature
Ecology and Evolution, vol. 2, no. 2. Springer Nature, pp. 359–366, 2018.
ista: Pleska M, Lang M, Refardt D, Levin B, Guet CC. 2018. Phage-host population
dynamics promotes prophage acquisition in bacteria with innate immunity. Nature
Ecology and Evolution. 2(2), 359–366.
mla: Pleska, Maros, et al. “Phage-Host Population Dynamics Promotes Prophage Acquisition
in Bacteria with Innate Immunity.” Nature Ecology and Evolution, vol. 2,
no. 2, Springer Nature, 2018, pp. 359–66, doi:10.1038/s41559-017-0424-z.
short: M. Pleska, M. Lang, D. Refardt, B. Levin, C.C. Guet, Nature Ecology and Evolution
2 (2018) 359–366.
date_created: 2018-12-11T11:46:35Z
date_published: 2018-02-01T00:00:00Z
date_updated: 2023-09-15T12:04:57Z
day: '01'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1038/s41559-017-0424-z
ec_funded: 1
external_id:
isi:
- '000426516400027'
intvolume: ' 2'
isi: 1
issue: '2'
language:
- iso: eng
month: '02'
oa_version: None
page: 359 - 366
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 251BCBEC-B435-11E9-9278-68D0E5697425
grant_number: RGY0079/2011
name: Multi-Level Conflicts in Evolutionary Dynamics of Restriction-Modification
Systems (HFSP Young investigators' grant)
- _id: 251D65D8-B435-11E9-9278-68D0E5697425
grant_number: '24210'
name: Effects of Stochasticity on the Function of Restriction-Modi cation Systems
at the Single-Cell Level (DOC Fellowship)
publication: Nature Ecology and Evolution
publication_status: published
publisher: Springer Nature
publist_id: '7364'
quality_controlled: '1'
related_material:
record:
- id: '202'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Phage-host population dynamics promotes prophage acquisition in bacteria with
innate immunity
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 2
year: '2018'
...
---
_id: '5984'
abstract:
- lang: eng
text: G-protein-coupled receptors (GPCRs) form the largest receptor family, relay
environmental stimuli to changes in cell behavior and represent prime drug targets.
Many GPCRs are classified as orphan receptors because of the limited knowledge
on their ligands and coupling to cellular signaling machineries. Here, we engineer
a library of 63 chimeric receptors that contain the signaling domains of human
orphan and understudied GPCRs functionally linked to the light-sensing domain
of rhodopsin. Upon stimulation with visible light, we identify activation of canonical
cell signaling pathways, including cAMP-, Ca2+-, MAPK/ERK-, and Rho-dependent
pathways, downstream of the engineered receptors. For the human pseudogene GPR33,
we resurrect a signaling function that supports its hypothesized role as a pathogen
entry site. These results demonstrate that substituting unknown chemical activators
with a light switch can reveal information about protein function and provide
an optically controlled protein library for exploring the physiology and therapeutic
potential of understudied GPCRs.
article_number: '1950'
article_processing_charge: No
author:
- first_name: Maurizio
full_name: Morri, Maurizio
id: 4863116E-F248-11E8-B48F-1D18A9856A87
last_name: Morri
- first_name: Inmaculada
full_name: Sanchez-Romero, Inmaculada
id: 3D9C5D30-F248-11E8-B48F-1D18A9856A87
last_name: Sanchez-Romero
- first_name: Alexandra-Madelaine
full_name: Tichy, Alexandra-Madelaine
id: 29D8BB2C-F248-11E8-B48F-1D18A9856A87
last_name: Tichy
- first_name: Stephanie
full_name: Kainrath, Stephanie
id: 32CFBA64-F248-11E8-B48F-1D18A9856A87
last_name: Kainrath
- first_name: Elliot J.
full_name: Gerrard, Elliot J.
last_name: Gerrard
- first_name: Priscila
full_name: Hirschfeld, Priscila
id: 435ACB3A-F248-11E8-B48F-1D18A9856A87
last_name: Hirschfeld
- first_name: Jan
full_name: Schwarz, Jan
id: 346C1EC6-F248-11E8-B48F-1D18A9856A87
last_name: Schwarz
- first_name: Harald L
full_name: Janovjak, Harald L
id: 33BA6C30-F248-11E8-B48F-1D18A9856A87
last_name: Janovjak
orcid: 0000-0002-8023-9315
citation:
ama: Morri M, Sanchez-Romero I, Tichy A-M, et al. Optical functionalization of human
class A orphan G-protein-coupled receptors. Nature Communications. 2018;9(1).
doi:10.1038/s41467-018-04342-1
apa: Morri, M., Sanchez-Romero, I., Tichy, A.-M., Kainrath, S., Gerrard, E. J.,
Hirschfeld, P., … Janovjak, H. L. (2018). Optical functionalization of human class
A orphan G-protein-coupled receptors. Nature Communications. Springer Nature.
https://doi.org/10.1038/s41467-018-04342-1
chicago: Morri, Maurizio, Inmaculada Sanchez-Romero, Alexandra-Madelaine Tichy,
Stephanie Kainrath, Elliot J. Gerrard, Priscila Hirschfeld, Jan Schwarz, and Harald
L Janovjak. “Optical Functionalization of Human Class A Orphan G-Protein-Coupled
Receptors.” Nature Communications. Springer Nature, 2018. https://doi.org/10.1038/s41467-018-04342-1.
ieee: M. Morri et al., “Optical functionalization of human class A orphan
G-protein-coupled receptors,” Nature Communications, vol. 9, no. 1. Springer
Nature, 2018.
ista: Morri M, Sanchez-Romero I, Tichy A-M, Kainrath S, Gerrard EJ, Hirschfeld P,
Schwarz J, Janovjak HL. 2018. Optical functionalization of human class A orphan
G-protein-coupled receptors. Nature Communications. 9(1), 1950.
mla: Morri, Maurizio, et al. “Optical Functionalization of Human Class A Orphan
G-Protein-Coupled Receptors.” Nature Communications, vol. 9, no. 1, 1950,
Springer Nature, 2018, doi:10.1038/s41467-018-04342-1.
short: M. Morri, I. Sanchez-Romero, A.-M. Tichy, S. Kainrath, E.J. Gerrard, P. Hirschfeld,
J. Schwarz, H.L. Janovjak, Nature Communications 9 (2018).
date_created: 2019-02-14T10:50:24Z
date_published: 2018-12-01T00:00:00Z
date_updated: 2023-09-19T14:29:32Z
day: '01'
ddc:
- '570'
department:
- _id: HaJa
- _id: CaGu
- _id: MiSi
doi: 10.1038/s41467-018-04342-1
ec_funded: 1
external_id:
isi:
- '000432280000006'
file:
- access_level: open_access
checksum: 8325fcc194264af4749e662a73bf66b5
content_type: application/pdf
creator: kschuh
date_created: 2019-02-14T10:58:29Z
date_updated: 2020-07-14T12:47:14Z
file_id: '5985'
file_name: 2018_Springer_Morri.pdf
file_size: 1349914
relation: main_file
file_date_updated: 2020-07-14T12:47:14Z
has_accepted_license: '1'
intvolume: ' 9'
isi: 1
issue: '1'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
project:
- _id: 25548C20-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '303564'
name: Microbial Ion Channels for Synthetic Neurobiology
- _id: 255A6082-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: W1232-B24
name: Molecular Drug Targets
publication: Nature Communications
publication_identifier:
issn:
- 2041-1723
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Optical functionalization of human class A orphan G-protein-coupled receptors
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 9
year: '2018'
...
---
_id: '19'
abstract:
- lang: eng
text: Bacteria regulate genes to survive antibiotic stress, but regulation can be
far from perfect. When regulation is not optimal, mutations that change gene expression
can contribute to antibiotic resistance. It is not systematically understood to
what extent natural gene regulation is or is not optimal for distinct antibiotics,
and how changes in expression of specific genes quantitatively affect antibiotic
resistance. Here we discover a simple quantitative relation between fitness, gene
expression, and antibiotic potency, which rationalizes our observation that a
multitude of genes and even innate antibiotic defense mechanisms have expression
that is critically nonoptimal under antibiotic treatment. First, we developed
a pooled-strain drug-diffusion assay and screened Escherichia coli overexpression
and knockout libraries, finding that resistance to a range of 31 antibiotics could
result from changing expression of a large and functionally diverse set of genes,
in a primarily but not exclusively drug-specific manner. Second, by synthetically
controlling the expression of single-drug and multidrug resistance genes, we observed
that their fitness-expression functions changed dramatically under antibiotic
treatment in accordance with a log-sensitivity relation. Thus, because many genes
are nonoptimally expressed under antibiotic treatment, many regulatory mutations
can contribute to resistance by altering expression and by activating latent defenses.
article_processing_charge: No
article_type: original
author:
- first_name: Adam
full_name: Palmer, Adam
last_name: Palmer
- first_name: Remy P
full_name: Chait, Remy P
id: 3464AE84-F248-11E8-B48F-1D18A9856A87
last_name: Chait
orcid: 0000-0003-0876-3187
- first_name: Roy
full_name: Kishony, Roy
last_name: Kishony
citation:
ama: Palmer A, Chait RP, Kishony R. Nonoptimal gene expression creates latent potential
for antibiotic resistance. Molecular Biology and Evolution. 2018;35(11):2669-2684.
doi:10.1093/molbev/msy163
apa: Palmer, A., Chait, R. P., & Kishony, R. (2018). Nonoptimal gene expression
creates latent potential for antibiotic resistance. Molecular Biology and Evolution.
Oxford University Press. https://doi.org/10.1093/molbev/msy163
chicago: Palmer, Adam, Remy P Chait, and Roy Kishony. “Nonoptimal Gene Expression
Creates Latent Potential for Antibiotic Resistance.” Molecular Biology and
Evolution. Oxford University Press, 2018. https://doi.org/10.1093/molbev/msy163.
ieee: A. Palmer, R. P. Chait, and R. Kishony, “Nonoptimal gene expression creates
latent potential for antibiotic resistance,” Molecular Biology and Evolution,
vol. 35, no. 11. Oxford University Press, pp. 2669–2684, 2018.
ista: Palmer A, Chait RP, Kishony R. 2018. Nonoptimal gene expression creates latent
potential for antibiotic resistance. Molecular Biology and Evolution. 35(11),
2669–2684.
mla: Palmer, Adam, et al. “Nonoptimal Gene Expression Creates Latent Potential for
Antibiotic Resistance.” Molecular Biology and Evolution, vol. 35, no. 11,
Oxford University Press, 2018, pp. 2669–84, doi:10.1093/molbev/msy163.
short: A. Palmer, R.P. Chait, R. Kishony, Molecular Biology and Evolution 35 (2018)
2669–2684.
date_created: 2018-12-11T11:44:11Z
date_published: 2018-08-28T00:00:00Z
date_updated: 2023-10-17T11:51:06Z
day: '28'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1093/molbev/msy163
external_id:
isi:
- '000452567200006'
pmid:
- '30169679'
intvolume: ' 35'
isi: 1
issue: '11'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pubmed/30169679
month: '08'
oa: 1
oa_version: Submitted Version
page: 2669 - 2684
pmid: 1
publication: Molecular Biology and Evolution
publication_identifier:
issn:
- 0737-4038
publication_status: published
publisher: Oxford University Press
publist_id: '8036'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Nonoptimal gene expression creates latent potential for antibiotic resistance
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 35
year: '2018'
...
---
_id: '438'
abstract:
- lang: eng
text: The MazF toxin sequence-specifically cleaves single-stranded RNA upon various
stressful conditions, and it is activated as a part of the mazEF toxin–antitoxin
module in Escherichia coli. Although autoregulation of mazEF expression through
the MazE antitoxin-dependent transcriptional repression has been biochemically
characterized, less is known about post-transcriptional autoregulation, as well
as how both of these autoregulatory features affect growth of single cells during
conditions that promote MazF production. Here, we demonstrate post-transcriptional
autoregulation of mazF expression dynamics by MazF cleaving its own transcript.
Single-cell analyses of bacterial populations during ectopic MazF production indicated
that two-level autoregulation of mazEF expression influences cell-to-cell growth
rate heterogeneity. The increase in growth rate heterogeneity is governed by the
MazE antitoxin, and tuned by the MazF-dependent mazF mRNA cleavage. Also, both
autoregulatory features grant rapid exit from the stress caused by mazF overexpression.
Time-lapse microscopy revealed that MazF-mediated cleavage of mazF mRNA leads
to increased temporal variability in length of individual cells during ectopic
mazF overexpression, as explained by a stochastic model indicating that mazEF
mRNA cleavage underlies temporal fluctuations in MazF levels during stress.
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Nela
full_name: Nikolic, Nela
id: 42D9CABC-F248-11E8-B48F-1D18A9856A87
last_name: Nikolic
orcid: 0000-0001-9068-6090
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Alexandra
full_name: Vandervelde, Alexandra
last_name: Vandervelde
- first_name: Tanino
full_name: Albanese, Tanino
last_name: Albanese
- first_name: Lendert
full_name: Gelens, Lendert
last_name: Gelens
- first_name: Isabella
full_name: Moll, Isabella
last_name: Moll
citation:
ama: Nikolic N, Bergmiller T, Vandervelde A, Albanese T, Gelens L, Moll I. Autoregulation
of mazEF expression underlies growth heterogeneity in bacterial populations. Nucleic
Acids Research. 2018;46(6):2918-2931. doi:10.1093/nar/gky079
apa: Nikolic, N., Bergmiller, T., Vandervelde, A., Albanese, T., Gelens, L., &
Moll, I. (2018). Autoregulation of mazEF expression underlies growth heterogeneity
in bacterial populations. Nucleic Acids Research. Oxford University Press.
https://doi.org/10.1093/nar/gky079
chicago: Nikolic, Nela, Tobias Bergmiller, Alexandra Vandervelde, Tanino Albanese,
Lendert Gelens, and Isabella Moll. “Autoregulation of MazEF Expression Underlies
Growth Heterogeneity in Bacterial Populations.” Nucleic Acids Research.
Oxford University Press, 2018. https://doi.org/10.1093/nar/gky079.
ieee: N. Nikolic, T. Bergmiller, A. Vandervelde, T. Albanese, L. Gelens, and I.
Moll, “Autoregulation of mazEF expression underlies growth heterogeneity in bacterial
populations,” Nucleic Acids Research, vol. 46, no. 6. Oxford University
Press, pp. 2918–2931, 2018.
ista: Nikolic N, Bergmiller T, Vandervelde A, Albanese T, Gelens L, Moll I. 2018.
Autoregulation of mazEF expression underlies growth heterogeneity in bacterial
populations. Nucleic Acids Research. 46(6), 2918–2931.
mla: Nikolic, Nela, et al. “Autoregulation of MazEF Expression Underlies Growth
Heterogeneity in Bacterial Populations.” Nucleic Acids Research, vol. 46,
no. 6, Oxford University Press, 2018, pp. 2918–31, doi:10.1093/nar/gky079.
short: N. Nikolic, T. Bergmiller, A. Vandervelde, T. Albanese, L. Gelens, I. Moll,
Nucleic Acids Research 46 (2018) 2918–2931.
date_created: 2018-12-11T11:46:29Z
date_published: 2018-04-06T00:00:00Z
date_updated: 2024-02-21T13:44:45Z
day: '06'
ddc:
- '576'
department:
- _id: CaGu
doi: 10.1093/nar/gky079
external_id:
isi:
- '000429009500021'
file:
- access_level: open_access
checksum: 3ff4f545c27e11a4cd20ccb30778793e
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:15:30Z
date_updated: 2020-07-14T12:46:27Z
file_id: '5151'
file_name: IST-2018-971-v1+1_2018_Nikoloc_Autoregulation_of.pdf
file_size: 5027978
relation: main_file
file_date_updated: 2020-07-14T12:46:27Z
has_accepted_license: '1'
intvolume: ' 46'
isi: 1
issue: '6'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 2918-2931
project:
- _id: 3AC91DDA-15DF-11EA-824D-93A3E7B544D1
call_identifier: FWF
name: FWF Open Access Fund
publication: Nucleic Acids Research
publication_status: published
publisher: Oxford University Press
pubrep_id: '971'
quality_controlled: '1'
related_material:
record:
- id: '5569'
relation: popular_science
status: public
scopus_import: '1'
status: public
title: Autoregulation of mazEF expression underlies growth heterogeneity in bacterial
populations
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 46
year: '2018'
...
---
_id: '5569'
abstract:
- lang: eng
text: "Nela Nikolic, Tobias Bergmiller, Alexandra Vandervelde, Tanino G. Albanese,
Lendert Gelens, and Isabella Moll (2018)\r\n“Autoregulation of mazEF expression
underlies growth heterogeneity in bacterial populations” Nucleic Acids Research,
doi: 10.15479/AT:ISTA:74;\r\nmicroscopy experiments by Tobias Bergmiller; image
and data analysis by Nela Nikolic."
article_processing_charge: No
author:
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Nela
full_name: Nikolic, Nela
id: 42D9CABC-F248-11E8-B48F-1D18A9856A87
last_name: Nikolic
orcid: 0000-0001-9068-6090
citation:
ama: Bergmiller T, Nikolic N. Time-lapse microscopy data. 2018. doi:10.15479/AT:ISTA:74
apa: Bergmiller, T., & Nikolic, N. (2018). Time-lapse microscopy data. Institute
of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:74
chicago: Bergmiller, Tobias, and Nela Nikolic. “Time-Lapse Microscopy Data.” Institute
of Science and Technology Austria, 2018. https://doi.org/10.15479/AT:ISTA:74.
ieee: T. Bergmiller and N. Nikolic, “Time-lapse microscopy data.” Institute of Science
and Technology Austria, 2018.
ista: Bergmiller T, Nikolic N. 2018. Time-lapse microscopy data, Institute of Science
and Technology Austria, 10.15479/AT:ISTA:74.
mla: Bergmiller, Tobias, and Nela Nikolic. Time-Lapse Microscopy Data. Institute
of Science and Technology Austria, 2018, doi:10.15479/AT:ISTA:74.
short: T. Bergmiller, N. Nikolic, (2018).
datarep_id: '74'
date_created: 2018-12-12T12:31:35Z
date_published: 2018-02-07T00:00:00Z
date_updated: 2024-02-21T13:44:45Z
day: '07'
ddc:
- '579'
department:
- _id: CaGu
doi: 10.15479/AT:ISTA:74
file:
- access_level: open_access
checksum: 61ebb92213cfffeba3ddbaff984b81af
content_type: application/zip
creator: system
date_created: 2018-12-12T13:04:39Z
date_updated: 2020-07-14T12:47:04Z
file_id: '5637'
file_name: IST-2018-74-v1+2_15-11-05.zip
file_size: 3558703796
relation: main_file
- access_level: open_access
checksum: bf26649af310ef6892d68576515cde6d
content_type: application/zip
creator: system
date_created: 2018-12-12T13:04:55Z
date_updated: 2020-07-14T12:47:04Z
file_id: '5638'
file_name: IST-2018-74-v1+3_15-07-31.zip
file_size: 1830422606
relation: main_file
- access_level: open_access
checksum: 8e46eedce06f22acb2be1a9b9d3f56bd
content_type: application/zip
creator: system
date_created: 2018-12-12T13:05:11Z
date_updated: 2020-07-14T12:47:04Z
file_id: '5639'
file_name: IST-2018-74-v1+4_Images_for_analysis.zip
file_size: 2140849248
relation: main_file
file_date_updated: 2020-07-14T12:47:04Z
has_accepted_license: '1'
keyword:
- microscopy
- microfluidics
license: https://creativecommons.org/publicdomain/zero/1.0/
month: '02'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
publist_id: '7385'
related_material:
record:
- id: '438'
relation: research_paper
status: public
status: public
title: Time-lapse microscopy data
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2018'
...
---
_id: '161'
abstract:
- lang: eng
text: 'Which properties of metabolic networks can be derived solely from stoichiometry?
Predictive results have been obtained by flux balance analysis (FBA), by postulating
that cells set metabolic fluxes to maximize growth rate. Here we consider a generalization
of FBA to single-cell level using maximum entropy modeling, which we extend and
test experimentally. Specifically, we define for Escherichia coli metabolism a
flux distribution that yields the experimental growth rate: the model, containing
FBA as a limit, provides a better match to measured fluxes and it makes a wide
range of predictions: on flux variability, regulation, and correlations; on the
relative importance of stoichiometry vs. optimization; on scaling relations for
growth rate distributions. We validate the latter here with single-cell data at
different sub-inhibitory antibiotic concentrations. The model quantifies growth
optimization as emerging from the interplay of competitive dynamics in the population
and regulation of metabolism at the level of single cells.'
article_number: '2988'
article_processing_charge: No
author:
- first_name: Daniele
full_name: De Martino, Daniele
id: 3FF5848A-F248-11E8-B48F-1D18A9856A87
last_name: De Martino
orcid: 0000-0002-5214-4706
- first_name: Andersson Anna
full_name: Mc, Andersson Anna
last_name: Mc
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: De Martino D, Mc AA, Bergmiller T, Guet CC, Tkačik G. Statistical mechanics
for metabolic networks during steady state growth. Nature Communications.
2018;9(1). doi:10.1038/s41467-018-05417-9
apa: De Martino, D., Mc, A. A., Bergmiller, T., Guet, C. C., & Tkačik, G. (2018).
Statistical mechanics for metabolic networks during steady state growth. Nature
Communications. Springer Nature. https://doi.org/10.1038/s41467-018-05417-9
chicago: De Martino, Daniele, Andersson Anna Mc, Tobias Bergmiller, Calin C Guet,
and Gašper Tkačik. “Statistical Mechanics for Metabolic Networks during Steady
State Growth.” Nature Communications. Springer Nature, 2018. https://doi.org/10.1038/s41467-018-05417-9.
ieee: D. De Martino, A. A. Mc, T. Bergmiller, C. C. Guet, and G. Tkačik, “Statistical
mechanics for metabolic networks during steady state growth,” Nature Communications,
vol. 9, no. 1. Springer Nature, 2018.
ista: De Martino D, Mc AA, Bergmiller T, Guet CC, Tkačik G. 2018. Statistical mechanics
for metabolic networks during steady state growth. Nature Communications. 9(1),
2988.
mla: De Martino, Daniele, et al. “Statistical Mechanics for Metabolic Networks during
Steady State Growth.” Nature Communications, vol. 9, no. 1, 2988, Springer
Nature, 2018, doi:10.1038/s41467-018-05417-9.
short: D. De Martino, A.A. Mc, T. Bergmiller, C.C. Guet, G. Tkačik, Nature Communications
9 (2018).
date_created: 2018-12-11T11:44:57Z
date_published: 2018-07-30T00:00:00Z
date_updated: 2024-02-21T13:45:39Z
day: '30'
ddc:
- '570'
department:
- _id: GaTk
- _id: CaGu
doi: 10.1038/s41467-018-05417-9
ec_funded: 1
external_id:
isi:
- '000440149300021'
file:
- access_level: open_access
checksum: 3ba7ab27b27723c7dcf633e8fc1f8f18
content_type: application/pdf
creator: dernst
date_created: 2018-12-17T16:44:28Z
date_updated: 2020-07-14T12:45:06Z
file_id: '5728'
file_name: 2018_NatureComm_DeMartino.pdf
file_size: 1043205
relation: main_file
file_date_updated: 2020-07-14T12:45:06Z
has_accepted_license: '1'
intvolume: ' 9'
isi: 1
issue: '1'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Nature Communications
publication_status: published
publisher: Springer Nature
publist_id: '7760'
quality_controlled: '1'
related_material:
record:
- id: '5587'
relation: popular_science
status: public
scopus_import: '1'
status: public
title: Statistical mechanics for metabolic networks during steady state growth
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 9
year: '2018'
...
---
_id: '26'
abstract:
- lang: eng
text: Expression of genes is a fundamental molecular phenotype that is subject to
evolution by different types of mutations. Both the rate and the effect of mutations
may depend on the DNA sequence context of a particular gene or a particular promoter
sequence. In this thesis I investigate the nature of this dependence using simple
genetic systems in Escherichia coli. With these systems I explore the evolution
of constitutive gene expression from random starting sequences at different loci
on the chromosome and at different locations in sequence space. First, I dissect
chromosomal neighborhood effects that underlie locus-dependent differences in
the potential of a gene under selection to become more highly expressed. Next,
I find that the effects of point mutations in promoter sequences are dependent
on sequence context, and that an existing energy matrix model performs poorly
in predicting relative expression of unrelated sequences. Finally, I show that
a substantial fraction of random sequences contain functional promoters and I
present an extended thermodynamic model that predicts promoter strength in full
sequence space. Taken together, these results provide new insights and guides
on how to integrate information on sequence context to improve our qualitative
and quantitative understanding of bacterial gene expression, with implications
for rapid evolution of drug resistance, de novo evolution of genes, and horizontal
gene transfer.
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Magdalena
full_name: Steinrück, Magdalena
id: 2C023F40-F248-11E8-B48F-1D18A9856A87
last_name: Steinrück
orcid: 0000-0003-1229-9719
citation:
ama: Steinrück M. The influence of sequence context on the evolution of bacterial
gene expression. 2018. doi:10.15479/AT:ISTA:th1059
apa: Steinrück, M. (2018). The influence of sequence context on the evolution
of bacterial gene expression. Institute of Science and Technology Austria.
https://doi.org/10.15479/AT:ISTA:th1059
chicago: Steinrück, Magdalena. “The Influence of Sequence Context on the Evolution
of Bacterial Gene Expression.” Institute of Science and Technology Austria, 2018.
https://doi.org/10.15479/AT:ISTA:th1059.
ieee: M. Steinrück, “The influence of sequence context on the evolution of bacterial
gene expression,” Institute of Science and Technology Austria, 2018.
ista: Steinrück M. 2018. The influence of sequence context on the evolution of bacterial
gene expression. Institute of Science and Technology Austria.
mla: Steinrück, Magdalena. The Influence of Sequence Context on the Evolution
of Bacterial Gene Expression. Institute of Science and Technology Austria,
2018, doi:10.15479/AT:ISTA:th1059.
short: M. Steinrück, The Influence of Sequence Context on the Evolution of Bacterial
Gene Expression, Institute of Science and Technology Austria, 2018.
date_created: 2018-12-11T11:44:14Z
date_published: 2018-10-30T00:00:00Z
date_updated: 2023-09-07T12:48:43Z
day: '30'
ddc:
- '576'
- '579'
degree_awarded: PhD
department:
- _id: CaGu
doi: 10.15479/AT:ISTA:th1059
file:
- access_level: closed
checksum: 413cbce1cd1debeae3abe2a25dbc70d1
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: dernst
date_created: 2019-02-08T10:51:22Z
date_updated: 2020-07-14T12:45:43Z
embargo_to: open_access
file_id: '5941'
file_name: Thesis_Steinrueck_final.docx
file_size: 9190845
relation: source_file
- access_level: open_access
checksum: 3def8b7854c8b42d643597ce0215efac
content_type: application/pdf
creator: dernst
date_created: 2019-02-08T10:51:22Z
date_updated: 2021-02-11T11:17:14Z
embargo: 2019-11-02
file_id: '5942'
file_name: Thesis_Steinrueck_final.pdf
file_size: 7521973
relation: main_file
file_date_updated: 2021-02-11T11:17:14Z
has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: '109'
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '8029'
pubrep_id: '1059'
related_material:
record:
- id: '704'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
title: The influence of sequence context on the evolution of bacterial gene expression
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2018'
...
---
_id: '67'
abstract:
- lang: eng
text: 'Gene regulatory networks evolve through rewiring of individual components—that
is, through changes in regulatory connections. However, the mechanistic basis
of regulatory rewiring is poorly understood. Using a canonical gene regulatory
system, we quantify the properties of transcription factors that determine the
evolutionary potential for rewiring of regulatory connections: robustness, tunability
and evolvability. In vivo repression measurements of two repressors at mutated
operator sites reveal their contrasting evolutionary potential: while robustness
and evolvability were positively correlated, both were in trade-off with tunability.
Epistatic interactions between adjacent operators alleviated this trade-off. A
thermodynamic model explains how the differences in robustness, tunability and
evolvability arise from biophysical characteristics of repressor–DNA binding.
The model also uncovers that the energy matrix, which describes how mutations
affect repressor–DNA binding, encodes crucial information about the evolutionary
potential of a repressor. The biophysical determinants of evolutionary potential
for regulatory rewiring constitute a mechanistic framework for understanding network
evolution.'
article_processing_charge: No
article_type: original
author:
- first_name: Claudia
full_name: Igler, Claudia
id: 46613666-F248-11E8-B48F-1D18A9856A87
last_name: Igler
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. Evolutionary potential
of transcription factors for gene regulatory rewiring. Nature Ecology and Evolution.
2018;2(10):1633-1643. doi:10.1038/s41559-018-0651-y
apa: Igler, C., Lagator, M., Tkačik, G., Bollback, J. P., & Guet, C. C. (2018).
Evolutionary potential of transcription factors for gene regulatory rewiring.
Nature Ecology and Evolution. Nature Publishing Group. https://doi.org/10.1038/s41559-018-0651-y
chicago: Igler, Claudia, Mato Lagator, Gašper Tkačik, Jonathan P Bollback, and Calin
C Guet. “Evolutionary Potential of Transcription Factors for Gene Regulatory Rewiring.”
Nature Ecology and Evolution. Nature Publishing Group, 2018. https://doi.org/10.1038/s41559-018-0651-y.
ieee: C. Igler, M. Lagator, G. Tkačik, J. P. Bollback, and C. C. Guet, “Evolutionary
potential of transcription factors for gene regulatory rewiring,” Nature Ecology
and Evolution, vol. 2, no. 10. Nature Publishing Group, pp. 1633–1643, 2018.
ista: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. 2018. Evolutionary potential
of transcription factors for gene regulatory rewiring. Nature Ecology and Evolution.
2(10), 1633–1643.
mla: Igler, Claudia, et al. “Evolutionary Potential of Transcription Factors for
Gene Regulatory Rewiring.” Nature Ecology and Evolution, vol. 2, no. 10,
Nature Publishing Group, 2018, pp. 1633–43, doi:10.1038/s41559-018-0651-y.
short: C. Igler, M. Lagator, G. Tkačik, J.P. Bollback, C.C. Guet, Nature Ecology
and Evolution 2 (2018) 1633–1643.
date_created: 2018-12-11T11:44:27Z
date_published: 2018-09-10T00:00:00Z
date_updated: 2024-03-27T23:30:48Z
day: '10'
ddc:
- '570'
department:
- _id: CaGu
- _id: GaTk
- _id: JoBo
doi: 10.1038/s41559-018-0651-y
ec_funded: 1
external_id:
isi:
- '000447947600021'
file:
- access_level: open_access
checksum: 383a2e2c944a856e2e821ec8e7bf71b6
content_type: application/pdf
creator: dernst
date_created: 2020-05-14T11:28:52Z
date_updated: 2020-07-14T12:47:37Z
file_id: '7830'
file_name: 2018_NatureEcology_Igler.pdf
file_size: 1135973
relation: main_file
file_date_updated: 2020-07-14T12:47:37Z
has_accepted_license: '1'
intvolume: ' 2'
isi: 1
issue: '10'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Submitted Version
page: 1633 - 1643
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
- _id: 251EE76E-B435-11E9-9278-68D0E5697425
grant_number: '24573'
name: Design principles underlying genetic switch architecture (DOC Fellowship)
publication: Nature Ecology and Evolution
publication_status: published
publisher: Nature Publishing Group
publist_id: '7987'
quality_controlled: '1'
related_material:
record:
- id: '5585'
relation: popular_science
status: public
- id: '6371'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Evolutionary potential of transcription factors for gene regulatory rewiring
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 2
year: '2018'
...
---
_id: '5585'
abstract:
- lang: eng
text: Mean repression values and standard error of the mean are given for all operator
mutant libraries.
article_processing_charge: No
author:
- first_name: Claudia
full_name: Igler, Claudia
id: 46613666-F248-11E8-B48F-1D18A9856A87
last_name: Igler
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. Data for the paper Evolutionary
potential of transcription factors for gene regulatory rewiring. 2018. doi:10.15479/AT:ISTA:108
apa: Igler, C., Lagator, M., Tkačik, G., Bollback, J. P., & Guet, C. C. (2018).
Data for the paper Evolutionary potential of transcription factors for gene regulatory
rewiring. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:108
chicago: Igler, Claudia, Mato Lagator, Gašper Tkačik, Jonathan P Bollback, and Calin
C Guet. “Data for the Paper Evolutionary Potential of Transcription Factors for
Gene Regulatory Rewiring.” Institute of Science and Technology Austria, 2018.
https://doi.org/10.15479/AT:ISTA:108.
ieee: C. Igler, M. Lagator, G. Tkačik, J. P. Bollback, and C. C. Guet, “Data for
the paper Evolutionary potential of transcription factors for gene regulatory
rewiring.” Institute of Science and Technology Austria, 2018.
ista: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. 2018. Data for the paper
Evolutionary potential of transcription factors for gene regulatory rewiring,
Institute of Science and Technology Austria, 10.15479/AT:ISTA:108.
mla: Igler, Claudia, et al. Data for the Paper Evolutionary Potential of Transcription
Factors for Gene Regulatory Rewiring. Institute of Science and Technology
Austria, 2018, doi:10.15479/AT:ISTA:108.
short: C. Igler, M. Lagator, G. Tkačik, J.P. Bollback, C.C. Guet, (2018).
datarep_id: '108'
date_created: 2018-12-12T12:31:40Z
date_published: 2018-07-20T00:00:00Z
date_updated: 2024-03-27T23:30:48Z
day: '20'
ddc:
- '576'
department:
- _id: CaGu
- _id: GaTk
doi: 10.15479/AT:ISTA:108
ec_funded: 1
file:
- access_level: open_access
checksum: 1435781526c77413802adee0d4583cce
content_type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
creator: system
date_created: 2018-12-12T13:02:45Z
date_updated: 2020-07-14T12:47:07Z
file_id: '5611'
file_name: IST-2018-108-v1+1_data_figures.xlsx
file_size: 16507
relation: main_file
file_date_updated: 2020-07-14T12:47:07Z
has_accepted_license: '1'
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
- _id: 251EE76E-B435-11E9-9278-68D0E5697425
grant_number: '24573'
name: Design principles underlying genetic switch architecture (DOC Fellowship)
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '67'
relation: research_paper
status: public
- id: '6371'
relation: research_paper
status: public
status: public
title: Data for the paper Evolutionary potential of transcription factors for gene
regulatory rewiring
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2018'
...
---
_id: '538'
abstract:
- lang: ger
text: 'Optogenetik und Photopharmakologie ermöglichen präzise räumliche und zeitliche
Kontrolle von Proteinwechselwirkung und -funktion in Zellen und Tieren. Optogenetische
Methoden, die auf grünes Licht ansprechen und zum Trennen von Proteinkomplexen
geeignet sind, sind nichtweitläufig verfügbar, würden jedoch mehrfarbige Experimente
zur Beantwortung von biologischen Fragestellungen ermöglichen. Hier demonstrieren
wir die Verwendung von Cobalamin(Vitamin B12)-bindenden Domänen von bakteriellen
CarH-Transkriptionsfaktoren zur Grünlicht-induzierten Dissoziation von Rezeptoren.
Fusioniert mit dem Fibroblasten-W achstumsfaktor-Rezeptor 1 führten diese im Dunkeln
in kultivierten Zellen zu Signalaktivität durch Oligomerisierung, welche durch
Beleuchten umgehend aufgehoben wurde. In Zebrafischembryonen, die einen derartigen
Rezeptor exprimieren, ermöglichte grünes Licht die Kontrolle über abnormale Signalaktivität
während der Embryonalentwicklung. '
author:
- first_name: Stephanie
full_name: Kainrath, Stephanie
id: 32CFBA64-F248-11E8-B48F-1D18A9856A87
last_name: Kainrath
- first_name: Manuela
full_name: Stadler, Manuela
last_name: Stadler
- first_name: Eva
full_name: Gschaider-Reichhart, Eva
id: 3FEE232A-F248-11E8-B48F-1D18A9856A87
last_name: Gschaider-Reichhart
orcid: 0000-0002-7218-7738
- first_name: Martin
full_name: Distel, Martin
last_name: Distel
- first_name: Harald L
full_name: Janovjak, Harald L
id: 33BA6C30-F248-11E8-B48F-1D18A9856A87
last_name: Janovjak
orcid: 0000-0002-8023-9315
citation:
ama: Kainrath S, Stadler M, Gschaider-Reichhart E, Distel M, Janovjak HL. Grünlicht-induzierte
Rezeptorinaktivierung durch Cobalamin-bindende Domänen. Angewandte Chemie.
2017;129(16):4679-4682. doi:10.1002/ange.201611998
apa: Kainrath, S., Stadler, M., Gschaider-Reichhart, E., Distel, M., & Janovjak,
H. L. (2017). Grünlicht-induzierte Rezeptorinaktivierung durch Cobalamin-bindende
Domänen. Angewandte Chemie. Wiley. https://doi.org/10.1002/ange.201611998
chicago: Kainrath, Stephanie, Manuela Stadler, Eva Gschaider-Reichhart, Martin Distel,
and Harald L Janovjak. “Grünlicht-Induzierte Rezeptorinaktivierung Durch Cobalamin-Bindende
Domänen.” Angewandte Chemie. Wiley, 2017. https://doi.org/10.1002/ange.201611998.
ieee: S. Kainrath, M. Stadler, E. Gschaider-Reichhart, M. Distel, and H. L. Janovjak,
“Grünlicht-induzierte Rezeptorinaktivierung durch Cobalamin-bindende Domänen,”
Angewandte Chemie, vol. 129, no. 16. Wiley, pp. 4679–4682, 2017.
ista: Kainrath S, Stadler M, Gschaider-Reichhart E, Distel M, Janovjak HL. 2017.
Grünlicht-induzierte Rezeptorinaktivierung durch Cobalamin-bindende Domänen. Angewandte
Chemie. 129(16), 4679–4682.
mla: Kainrath, Stephanie, et al. “Grünlicht-Induzierte Rezeptorinaktivierung Durch
Cobalamin-Bindende Domänen.” Angewandte Chemie, vol. 129, no. 16, Wiley,
2017, pp. 4679–82, doi:10.1002/ange.201611998.
short: S. Kainrath, M. Stadler, E. Gschaider-Reichhart, M. Distel, H.L. Janovjak,
Angewandte Chemie 129 (2017) 4679–4682.
date_created: 2018-12-11T11:47:02Z
date_published: 2017-05-20T00:00:00Z
date_updated: 2021-01-12T08:01:33Z
day: '20'
ddc:
- '571'
department:
- _id: CaGu
- _id: HaJa
doi: 10.1002/ange.201611998
ec_funded: 1
file:
- access_level: open_access
checksum: d66fee867e7cdbfa3fe276c2fb0778bb
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:13:24Z
date_updated: 2020-07-14T12:46:39Z
file_id: '5007'
file_name: IST-2018-932-v1+1_Kainrath_et_al-2017-Angewandte_Chemie.pdf
file_size: 1668557
relation: main_file
file_date_updated: 2020-07-14T12:46:39Z
has_accepted_license: '1'
intvolume: ' 129'
issue: '16'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: 4679 - 4682
project:
- _id: 25548C20-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '303564'
name: Microbial Ion Channels for Synthetic Neurobiology
- _id: 255A6082-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: W1232-B24
name: Molecular Drug Targets
publication: Angewandte Chemie
publication_status: published
publisher: Wiley
publist_id: '7279'
pubrep_id: '932'
quality_controlled: '1'
status: public
title: Grünlicht-induzierte Rezeptorinaktivierung durch Cobalamin-bindende Domänen
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 129
year: '2017'
...
---
_id: '570'
abstract:
- lang: eng
text: 'Most phenotypes are determined by molecular systems composed of specifically
interacting molecules. However, unlike for individual components, little is known
about the distributions of mutational effects of molecular systems as a whole.
We ask how the distribution of mutational effects of a transcriptional regulatory
system differs from the distributions of its components, by first independently,
and then simultaneously, mutating a transcription factor and the associated promoter
it represses. We find that the system distribution exhibits increased phenotypic
variation compared to individual component distributions - an effect arising from
intermolecular epistasis between the transcription factor and its DNA-binding
site. In large part, this epistasis can be qualitatively attributed to the structure
of the transcriptional regulatory system and could therefore be a common feature
in prokaryotes. Counter-intuitively, intermolecular epistasis can alleviate the
constraints of individual components, thereby increasing phenotypic variation
that selection could act on and facilitating adaptive evolution. '
article_number: e28921
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Srdjan
full_name: Sarikas, Srdjan
id: 35F0286E-F248-11E8-B48F-1D18A9856A87
last_name: Sarikas
- first_name: Hande
full_name: Acar, Hande
id: 2DDF136A-F248-11E8-B48F-1D18A9856A87
last_name: Acar
orcid: 0000-0003-1986-9753
- first_name: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Lagator M, Sarikas S, Acar H, Bollback JP, Guet CC. Regulatory network structure
determines patterns of intermolecular epistasis. eLife. 2017;6. doi:10.7554/eLife.28921
apa: Lagator, M., Sarikas, S., Acar, H., Bollback, J. P., & Guet, C. C. (2017).
Regulatory network structure determines patterns of intermolecular epistasis.
ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.28921
chicago: Lagator, Mato, Srdjan Sarikas, Hande Acar, Jonathan P Bollback, and Calin
C Guet. “Regulatory Network Structure Determines Patterns of Intermolecular Epistasis.”
ELife. eLife Sciences Publications, 2017. https://doi.org/10.7554/eLife.28921.
ieee: M. Lagator, S. Sarikas, H. Acar, J. P. Bollback, and C. C. Guet, “Regulatory
network structure determines patterns of intermolecular epistasis,” eLife,
vol. 6. eLife Sciences Publications, 2017.
ista: Lagator M, Sarikas S, Acar H, Bollback JP, Guet CC. 2017. Regulatory network
structure determines patterns of intermolecular epistasis. eLife. 6, e28921.
mla: Lagator, Mato, et al. “Regulatory Network Structure Determines Patterns of
Intermolecular Epistasis.” ELife, vol. 6, e28921, eLife Sciences Publications,
2017, doi:10.7554/eLife.28921.
short: M. Lagator, S. Sarikas, H. Acar, J.P. Bollback, C.C. Guet, ELife 6 (2017).
date_created: 2018-12-11T11:47:14Z
date_published: 2017-11-13T00:00:00Z
date_updated: 2021-01-12T08:03:15Z
day: '13'
ddc:
- '576'
department:
- _id: CaGu
- _id: JoBo
- _id: NiBa
doi: 10.7554/eLife.28921
ec_funded: 1
file:
- access_level: open_access
checksum: 273ab17f33305e4eaafd911ff88e7c5b
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:42Z
date_updated: 2020-07-14T12:47:10Z
file_id: '5096'
file_name: IST-2017-918-v1+1_elife-28921-figures-v3.pdf
file_size: 8453470
relation: main_file
- access_level: open_access
checksum: b433f90576c7be597cd43367946f8e7f
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:43Z
date_updated: 2020-07-14T12:47:10Z
file_id: '5097'
file_name: IST-2017-918-v1+2_elife-28921-v3.pdf
file_size: 1953221
relation: main_file
file_date_updated: 2020-07-14T12:47:10Z
has_accepted_license: '1'
intvolume: ' 6'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
publication: eLife
publication_identifier:
issn:
- 2050084X
publication_status: published
publisher: eLife Sciences Publications
publist_id: '7244'
pubrep_id: '918'
quality_controlled: '1'
scopus_import: 1
status: public
title: Regulatory network structure determines patterns of intermolecular epistasis
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 6
year: '2017'
...
---
_id: '613'
abstract:
- lang: eng
text: 'Bacteria in groups vary individually, and interact with other bacteria and
the environment to produce population-level patterns of gene expression. Investigating
such behavior in detail requires measuring and controlling populations at the
single-cell level alongside precisely specified interactions and environmental
characteristics. Here we present an automated, programmable platform that combines
image-based gene expression and growth measurements with on-line optogenetic expression
control for hundreds of individual Escherichia coli cells over days, in a dynamically
adjustable environment. This integrated platform broadly enables experiments that
bridge individual and population behaviors. We demonstrate: (i) population structuring
by independent closed-loop control of gene expression in many individual cells,
(ii) cell-cell variation control during antibiotic perturbation, (iii) hybrid
bio-digital circuits in single cells, and freely specifiable digital communication
between individual bacteria. These examples showcase the potential for real-time
integration of theoretical models with measurement and control of many individual
cells to investigate and engineer microbial population behavior.'
acknowledgement: We are grateful to M. Lang, H. Janovjak, M. Khammash, A. Milias-Argeitis,
M. Rullan, G. Batt, A. Bosma-Moody, Aryan, S. Leibler, and members of the Guet and
Tkačik groups for helpful discussion, comments, and suggestions. We thank A. Moglich,
T. Mathes, J. Tabor, and S. Schmidl for kind gifts of strains, and R. Hauschild,
B. Knep, M. Lang, T. Asenov, E. Papusheva, T. Menner, T. Adletzberger, and J. Merrin
for technical assistance. The research leading to these results has received funding
from the People Programme (Marie Curie Actions) of the European Union’s Seventh
Framework Programme (FP7/2007–2013) under REA grant agreement no. [291734]. (to
R.C. and J.R.), Austrian Science Fund grant FWF P28844 (to G.T.), and internal IST
Austria Interdisciplinary Project Support. J.R. acknowledges support from the Agence
Nationale de la Recherche (ANR) under Grant Nos. ANR-16-CE33-0018 (MEMIP), ANR-16-CE12-0025
(COGEX) and ANR-10-BINF-06-01 (ICEBERG).
article_number: '1535'
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Remy P
full_name: Chait, Remy P
id: 3464AE84-F248-11E8-B48F-1D18A9856A87
last_name: Chait
orcid: 0000-0003-0876-3187
- first_name: Jakob
full_name: Ruess, Jakob
id: 4A245D00-F248-11E8-B48F-1D18A9856A87
last_name: Ruess
orcid: 0000-0003-1615-3282
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Chait RP, Ruess J, Bergmiller T, Tkačik G, Guet CC. Shaping bacterial population
behavior through computer interfaced control of individual cells. Nature Communications.
2017;8(1). doi:10.1038/s41467-017-01683-1
apa: Chait, R. P., Ruess, J., Bergmiller, T., Tkačik, G., & Guet, C. C. (2017).
Shaping bacterial population behavior through computer interfaced control of individual
cells. Nature Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-017-01683-1
chicago: Chait, Remy P, Jakob Ruess, Tobias Bergmiller, Gašper Tkačik, and Calin
C Guet. “Shaping Bacterial Population Behavior through Computer Interfaced Control
of Individual Cells.” Nature Communications. Nature Publishing Group, 2017.
https://doi.org/10.1038/s41467-017-01683-1.
ieee: R. P. Chait, J. Ruess, T. Bergmiller, G. Tkačik, and C. C. Guet, “Shaping
bacterial population behavior through computer interfaced control of individual
cells,” Nature Communications, vol. 8, no. 1. Nature Publishing Group,
2017.
ista: Chait RP, Ruess J, Bergmiller T, Tkačik G, Guet CC. 2017. Shaping bacterial
population behavior through computer interfaced control of individual cells. Nature
Communications. 8(1), 1535.
mla: Chait, Remy P., et al. “Shaping Bacterial Population Behavior through Computer
Interfaced Control of Individual Cells.” Nature Communications, vol. 8,
no. 1, 1535, Nature Publishing Group, 2017, doi:10.1038/s41467-017-01683-1.
short: R.P. Chait, J. Ruess, T. Bergmiller, G. Tkačik, C.C. Guet, Nature Communications
8 (2017).
date_created: 2018-12-11T11:47:30Z
date_published: 2017-12-01T00:00:00Z
date_updated: 2021-01-12T08:06:15Z
day: '01'
ddc:
- '576'
- '579'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1038/s41467-017-01683-1
ec_funded: 1
file:
- access_level: open_access
checksum: 44bb5d0229926c23a9955d9fe0f9723f
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:16:05Z
date_updated: 2020-07-14T12:47:20Z
file_id: '5190'
file_name: IST-2017-911-v1+1_s41467-017-01683-1.pdf
file_size: 1951699
relation: main_file
file_date_updated: 2020-07-14T12:47:20Z
has_accepted_license: '1'
intvolume: ' 8'
issue: '1'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication: Nature Communications
publication_identifier:
issn:
- '20411723'
publication_status: published
publisher: Nature Publishing Group
publist_id: '7191'
pubrep_id: '911'
quality_controlled: '1'
scopus_import: 1
status: public
title: Shaping bacterial population behavior through computer interfaced control of
individual cells
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 8
year: '2017'
...
---
_id: '624'
abstract:
- lang: eng
text: Bacteria adapt to adverse environmental conditions by altering gene expression
patterns. Recently, a novel stress adaptation mechanism has been described that
allows Escherichia coli to alter gene expression at the post-transcriptional level.
The key player in this regulatory pathway is the endoribonuclease MazF, the toxin
component of the toxin-antitoxin module mazEF that is triggered by various stressful
conditions. In general, MazF degrades the majority of transcripts by cleaving
at ACA sites, which results in the retardation of bacterial growth. Furthermore,
MazF can process a small subset of mRNAs and render them leaderless by removing
their ribosome binding site. MazF concomitantly modifies ribosomes, making them
selective for the translation of leaderless mRNAs. In this study, we employed
fluorescent reporter-systems to investigate mazEF expression during stressful
conditions, and to infer consequences of the mRNA processing mediated by MazF
on gene expression at the single-cell level. Our results suggest that mazEF transcription
is maintained at low levels in single cells encountering adverse conditions, such
as antibiotic stress or amino acid starvation. Moreover, using the grcA mRNA as
a model for MazF-mediated mRNA processing, we found that MazF activation promotes
heterogeneity in the grcA reporter expression, resulting in a subpopulation of
cells with increased levels of GrcA reporter protein.
acknowledgement: 'Austrian Science Fund (FWF): M1697, P22249; Swiss National Science
Foundation (SNF): 145706; European Commission;FWF Special Research Program: RNA-REG
F43'
article_number: '3830'
author:
- first_name: Nela
full_name: Nikolic, Nela
id: 42D9CABC-F248-11E8-B48F-1D18A9856A87
last_name: Nikolic
orcid: 0000-0001-9068-6090
- first_name: Zrinka
full_name: Didara, Zrinka
last_name: Didara
- first_name: Isabella
full_name: Moll, Isabella
last_name: Moll
citation:
ama: Nikolic N, Didara Z, Moll I. MazF activation promotes translational heterogeneity
of the grcA mRNA in Escherichia coli populations. PeerJ. 2017;2017(9).
doi:10.7717/peerj.3830
apa: Nikolic, N., Didara, Z., & Moll, I. (2017). MazF activation promotes translational
heterogeneity of the grcA mRNA in Escherichia coli populations. PeerJ.
PeerJ. https://doi.org/10.7717/peerj.3830
chicago: Nikolic, Nela, Zrinka Didara, and Isabella Moll. “MazF Activation Promotes
Translational Heterogeneity of the GrcA MRNA in Escherichia Coli Populations.”
PeerJ. PeerJ, 2017. https://doi.org/10.7717/peerj.3830.
ieee: N. Nikolic, Z. Didara, and I. Moll, “MazF activation promotes translational
heterogeneity of the grcA mRNA in Escherichia coli populations,” PeerJ,
vol. 2017, no. 9. PeerJ, 2017.
ista: Nikolic N, Didara Z, Moll I. 2017. MazF activation promotes translational
heterogeneity of the grcA mRNA in Escherichia coli populations. PeerJ. 2017(9),
3830.
mla: Nikolic, Nela, et al. “MazF Activation Promotes Translational Heterogeneity
of the GrcA MRNA in Escherichia Coli Populations.” PeerJ, vol. 2017, no.
9, 3830, PeerJ, 2017, doi:10.7717/peerj.3830.
short: N. Nikolic, Z. Didara, I. Moll, PeerJ 2017 (2017).
date_created: 2018-12-11T11:47:33Z
date_published: 2017-09-21T00:00:00Z
date_updated: 2021-01-12T08:06:48Z
day: '21'
ddc:
- '579'
department:
- _id: CaGu
doi: 10.7717/peerj.3830
file:
- access_level: open_access
checksum: 3d79ae6b6eabc90b0eaaed82ff3493b0
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:11:51Z
date_updated: 2020-07-14T12:47:24Z
file_id: '4908'
file_name: IST-2017-909-v1+1_peerj-3830.pdf
file_size: 682064
relation: main_file
file_date_updated: 2020-07-14T12:47:24Z
has_accepted_license: '1'
intvolume: ' 2017'
issue: '9'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
publication: PeerJ
publication_identifier:
issn:
- '21678359'
publication_status: published
publisher: PeerJ
publist_id: '7172'
pubrep_id: '909'
quality_controlled: '1'
scopus_import: 1
status: public
title: MazF activation promotes translational heterogeneity of the grcA mRNA in Escherichia
coli populations
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 2017
year: '2017'
...
---
_id: '655'
abstract:
- lang: eng
text: 'The bacterial flagellum is a self-assembling nanomachine. The external flagellar
filament, several times longer than a bacterial cell body, is made of a few tens
of thousands subunits of a single protein: flagellin. A fundamental problem concerns
the molecular mechanism of how the flagellum grows outside the cell, where no
discernible energy source is available. Here, we monitored the dynamic assembly
of individual flagella using in situ labelling and real-time immunostaining of
elongating flagellar filaments. We report that the rate of flagellum growth, initially
~1,700 amino acids per second, decreases with length and that the previously proposed
chain mechanism does not contribute to the filament elongation dynamics. Inhibition
of the proton motive force-dependent export apparatus revealed a major contribution
of substrate injection in driving filament elongation. The combination of experimental
and mathematical evidence demonstrates that a simple, injection-diffusion mechanism
controls bacterial flagella growth outside the cell.'
article_number: e23136
author:
- first_name: Thibaud
full_name: Renault, Thibaud
last_name: Renault
- first_name: Anthony
full_name: Abraham, Anthony
last_name: Abraham
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Guillaume
full_name: Paradis, Guillaume
last_name: Paradis
- first_name: Simon
full_name: Rainville, Simon
last_name: Rainville
- first_name: Emmanuelle
full_name: Charpentier, Emmanuelle
last_name: Charpentier
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Yuhai
full_name: Tu, Yuhai
last_name: Tu
- first_name: Keiichi
full_name: Namba, Keiichi
last_name: Namba
- first_name: James
full_name: Keener, James
last_name: Keener
- first_name: Tohru
full_name: Minamino, Tohru
last_name: Minamino
- first_name: Marc
full_name: Erhardt, Marc
last_name: Erhardt
citation:
ama: Renault T, Abraham A, Bergmiller T, et al. Bacterial flagella grow through
an injection diffusion mechanism. eLife. 2017;6. doi:10.7554/eLife.23136
apa: Renault, T., Abraham, A., Bergmiller, T., Paradis, G., Rainville, S., Charpentier,
E., … Erhardt, M. (2017). Bacterial flagella grow through an injection diffusion
mechanism. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.23136
chicago: Renault, Thibaud, Anthony Abraham, Tobias Bergmiller, Guillaume Paradis,
Simon Rainville, Emmanuelle Charpentier, Calin C Guet, et al. “Bacterial Flagella
Grow through an Injection Diffusion Mechanism.” ELife. eLife Sciences Publications,
2017. https://doi.org/10.7554/eLife.23136.
ieee: T. Renault et al., “Bacterial flagella grow through an injection diffusion
mechanism,” eLife, vol. 6. eLife Sciences Publications, 2017.
ista: Renault T, Abraham A, Bergmiller T, Paradis G, Rainville S, Charpentier E,
Guet CC, Tu Y, Namba K, Keener J, Minamino T, Erhardt M. 2017. Bacterial flagella
grow through an injection diffusion mechanism. eLife. 6, e23136.
mla: Renault, Thibaud, et al. “Bacterial Flagella Grow through an Injection Diffusion
Mechanism.” ELife, vol. 6, e23136, eLife Sciences Publications, 2017, doi:10.7554/eLife.23136.
short: T. Renault, A. Abraham, T. Bergmiller, G. Paradis, S. Rainville, E. Charpentier,
C.C. Guet, Y. Tu, K. Namba, J. Keener, T. Minamino, M. Erhardt, ELife 6 (2017).
date_created: 2018-12-11T11:47:44Z
date_published: 2017-03-06T00:00:00Z
date_updated: 2021-01-12T08:07:55Z
day: '06'
ddc:
- '579'
department:
- _id: CaGu
doi: 10.7554/eLife.23136
file:
- access_level: open_access
checksum: 39e1c3e82ddac83a30422fa72fa1a383
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:08:53Z
date_updated: 2020-07-14T12:47:33Z
file_id: '4716'
file_name: IST-2017-904-v1+1_elife-23136-v2.pdf
file_size: 5520359
relation: main_file
- access_level: open_access
checksum: a6d542253028f52e00aa29739ddffe8f
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:08:54Z
date_updated: 2020-07-14T12:47:33Z
file_id: '4717'
file_name: IST-2017-904-v1+2_elife-23136-figures-v2.pdf
file_size: 11242920
relation: main_file
file_date_updated: 2020-07-14T12:47:33Z
has_accepted_license: '1'
intvolume: ' 6'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
publication: eLife
publication_identifier:
issn:
- 2050084X
publication_status: published
publisher: eLife Sciences Publications
publist_id: '7082'
pubrep_id: '904'
quality_controlled: '1'
scopus_import: 1
status: public
title: Bacterial flagella grow through an injection diffusion mechanism
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 6
year: '2017'
...
---
_id: '541'
abstract:
- lang: eng
text: 'While we have good understanding of bacterial metabolism at the population
level, we know little about the metabolic behavior of individual cells: do single
cells in clonal populations sometimes specialize on different metabolic pathways?
Such metabolic specialization could be driven by stochastic gene expression and
could provide individual cells with growth benefits of specialization. We measured
the degree of phenotypic specialization in two parallel metabolic pathways, the
assimilation of glucose and arabinose. We grew Escherichia coli in chemostats,
and used isotope-labeled sugars in combination with nanometer-scale secondary
ion mass spectrometry and mathematical modeling to quantify sugar assimilation
at the single-cell level. We found large variation in metabolic activities between
single cells, both in absolute assimilation and in the degree to which individual
cells specialize in the assimilation of different sugars. Analysis of transcriptional
reporters indicated that this variation was at least partially based on cell-to-cell
variation in gene expression. Metabolic differences between cells in clonal populations
could potentially reduce metabolic incompatibilities between different pathways,
and increase the rate at which parallel reactions can be performed.'
article_number: e1007122
author:
- first_name: Nela
full_name: Nikolic, Nela
id: 42D9CABC-F248-11E8-B48F-1D18A9856A87
last_name: Nikolic
orcid: 0000-0001-9068-6090
- first_name: Frank
full_name: Schreiber, Frank
last_name: Schreiber
- first_name: Alma
full_name: Dal Co, Alma
last_name: Dal Co
- first_name: Daniel
full_name: Kiviet, Daniel
last_name: Kiviet
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Sten
full_name: Littmann, Sten
last_name: Littmann
- first_name: Marcel
full_name: Kuypers, Marcel
last_name: Kuypers
- first_name: Martin
full_name: Ackermann, Martin
last_name: Ackermann
citation:
ama: Nikolic N, Schreiber F, Dal Co A, et al. Cell-to-cell variation and specialization
in sugar metabolism in clonal bacterial populations. PLoS Genetics. 2017;13(12).
doi:10.1371/journal.pgen.1007122
apa: Nikolic, N., Schreiber, F., Dal Co, A., Kiviet, D., Bergmiller, T., Littmann,
S., … Ackermann, M. (2017). Cell-to-cell variation and specialization in sugar
metabolism in clonal bacterial populations. PLoS Genetics. Public Library
of Science. https://doi.org/10.1371/journal.pgen.1007122
chicago: Nikolic, Nela, Frank Schreiber, Alma Dal Co, Daniel Kiviet, Tobias Bergmiller,
Sten Littmann, Marcel Kuypers, and Martin Ackermann. “Cell-to-Cell Variation and
Specialization in Sugar Metabolism in Clonal Bacterial Populations.” PLoS Genetics.
Public Library of Science, 2017. https://doi.org/10.1371/journal.pgen.1007122.
ieee: N. Nikolic et al., “Cell-to-cell variation and specialization in sugar
metabolism in clonal bacterial populations,” PLoS Genetics, vol. 13, no.
12. Public Library of Science, 2017.
ista: Nikolic N, Schreiber F, Dal Co A, Kiviet D, Bergmiller T, Littmann S, Kuypers
M, Ackermann M. 2017. Cell-to-cell variation and specialization in sugar metabolism
in clonal bacterial populations. PLoS Genetics. 13(12), e1007122.
mla: Nikolic, Nela, et al. “Cell-to-Cell Variation and Specialization in Sugar Metabolism
in Clonal Bacterial Populations.” PLoS Genetics, vol. 13, no. 12, e1007122,
Public Library of Science, 2017, doi:10.1371/journal.pgen.1007122.
short: N. Nikolic, F. Schreiber, A. Dal Co, D. Kiviet, T. Bergmiller, S. Littmann,
M. Kuypers, M. Ackermann, PLoS Genetics 13 (2017).
date_created: 2018-12-11T11:47:04Z
date_published: 2017-12-18T00:00:00Z
date_updated: 2023-02-23T14:10:34Z
day: '18'
ddc:
- '576'
- '579'
department:
- _id: CaGu
doi: 10.1371/journal.pgen.1007122
ec_funded: 1
file:
- access_level: open_access
checksum: 22426d9382f21554bad5fa5967afcfd0
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:35Z
date_updated: 2020-07-14T12:46:46Z
file_id: '5088'
file_name: IST-2018-959-v1+1_2017_Nikolic_Cell-to-cell.pdf
file_size: 1308475
relation: main_file
file_date_updated: 2020-07-14T12:46:46Z
has_accepted_license: '1'
intvolume: ' 13'
issue: '12'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: PLoS Genetics
publication_identifier:
issn:
- '15537390'
publication_status: published
publisher: Public Library of Science
publist_id: '7275'
pubrep_id: '959'
quality_controlled: '1'
related_material:
record:
- id: '9844'
relation: research_data
status: public
- id: '9845'
relation: research_data
status: public
- id: '9846'
relation: research_data
status: public
scopus_import: 1
status: public
title: Cell-to-cell variation and specialization in sugar metabolism in clonal bacterial
populations
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2017'
...
---
_id: '9847'
abstract:
- lang: eng
text: information on culture conditions, phage mutagenesis, verification and lysate
preparation; Raw data
article_processing_charge: No
author:
- first_name: Maros
full_name: Pleska, Maros
id: 4569785E-F248-11E8-B48F-1D18A9856A87
last_name: Pleska
orcid: 0000-0001-7460-7479
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Pleska M, Guet CC. Supplementary materials and methods; Full data set from
effects of mutations in phage restriction sites during escape from restriction–modification.
2017. doi:10.6084/m9.figshare.5633917.v1
apa: Pleska, M., & Guet, C. C. (2017). Supplementary materials and methods;
Full data set from effects of mutations in phage restriction sites during escape
from restriction–modification. The Royal Society. https://doi.org/10.6084/m9.figshare.5633917.v1
chicago: Pleska, Maros, and Calin C Guet. “Supplementary Materials and Methods;
Full Data Set from Effects of Mutations in Phage Restriction Sites during Escape
from Restriction–Modification.” The Royal Society, 2017. https://doi.org/10.6084/m9.figshare.5633917.v1.
ieee: M. Pleska and C. C. Guet, “Supplementary materials and methods; Full data
set from effects of mutations in phage restriction sites during escape from restriction–modification.”
The Royal Society, 2017.
ista: Pleska M, Guet CC. 2017. Supplementary materials and methods; Full data set
from effects of mutations in phage restriction sites during escape from restriction–modification,
The Royal Society, 10.6084/m9.figshare.5633917.v1.
mla: Pleska, Maros, and Calin C. Guet. Supplementary Materials and Methods; Full
Data Set from Effects of Mutations in Phage Restriction Sites during Escape from
Restriction–Modification. The Royal Society, 2017, doi:10.6084/m9.figshare.5633917.v1.
short: M. Pleska, C.C. Guet, (2017).
date_created: 2021-08-09T13:54:38Z
date_published: 2017-11-27T00:00:00Z
date_updated: 2023-02-23T12:29:44Z
day: '27'
department:
- _id: CaGu
doi: 10.6084/m9.figshare.5633917.v1
main_file_link:
- open_access: '1'
url: https://doi.org/10.6084/m9.figshare.5633917.v1
month: '11'
oa: 1
oa_version: Published Version
publisher: The Royal Society
related_material:
record:
- id: '561'
relation: used_in_publication
status: public
status: public
title: Supplementary materials and methods; Full data set from effects of mutations
in phage restriction sites during escape from restriction–modification
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '9845'
abstract:
- lang: eng
text: "Estimates of 13 C-arabinose and 2 H-glucose uptake from the fractions of
heavy isotopes measured\tin single cells"
article_processing_charge: No
author:
- first_name: Nela
full_name: Nikolic, Nela
id: 42D9CABC-F248-11E8-B48F-1D18A9856A87
last_name: Nikolic
orcid: 0000-0001-9068-6090
- first_name: Frank
full_name: Schreiber, Frank
last_name: Schreiber
- first_name: Alma
full_name: Dal Co, Alma
last_name: Dal Co
- first_name: Daniel
full_name: Kiviet, Daniel
last_name: Kiviet
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Sten
full_name: Littmann, Sten
last_name: Littmann
- first_name: Marcel
full_name: Kuypers, Marcel
last_name: Kuypers
- first_name: Martin
full_name: Ackermann, Martin
last_name: Ackermann
citation:
ama: Nikolic N, Schreiber F, Dal Co A, et al. Mathematical model. 2017. doi:10.1371/journal.pgen.1007122.s017
apa: Nikolic, N., Schreiber, F., Dal Co, A., Kiviet, D., Bergmiller, T., Littmann,
S., … Ackermann, M. (2017). Mathematical model. Public Library of Science. https://doi.org/10.1371/journal.pgen.1007122.s017
chicago: Nikolic, Nela, Frank Schreiber, Alma Dal Co, Daniel Kiviet, Tobias Bergmiller,
Sten Littmann, Marcel Kuypers, and Martin Ackermann. “Mathematical Model.” Public
Library of Science, 2017. https://doi.org/10.1371/journal.pgen.1007122.s017.
ieee: N. Nikolic et al., “Mathematical model.” Public Library of Science,
2017.
ista: Nikolic N, Schreiber F, Dal Co A, Kiviet D, Bergmiller T, Littmann S, Kuypers
M, Ackermann M. 2017. Mathematical model, Public Library of Science, 10.1371/journal.pgen.1007122.s017.
mla: Nikolic, Nela, et al. Mathematical Model. Public Library of Science,
2017, doi:10.1371/journal.pgen.1007122.s017.
short: N. Nikolic, F. Schreiber, A. Dal Co, D. Kiviet, T. Bergmiller, S. Littmann,
M. Kuypers, M. Ackermann, (2017).
date_created: 2021-08-09T13:31:51Z
date_published: 2017-12-18T00:00:00Z
date_updated: 2023-02-23T12:25:04Z
day: '18'
department:
- _id: CaGu
doi: 10.1371/journal.pgen.1007122.s017
month: '12'
oa_version: None
publisher: Public Library of Science
related_material:
record:
- id: '541'
relation: used_in_publication
status: public
status: public
title: Mathematical model
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '9849'
abstract:
- lang: eng
text: This text provides additional information about the model, a derivation of
the analytic results in Eq (4), and details about simulations of an additional
parameter set.
article_processing_charge: No
author:
- first_name: Marta
full_name: Lukacisinova, Marta
id: 4342E402-F248-11E8-B48F-1D18A9856A87
last_name: Lukacisinova
orcid: 0000-0002-2519-8004
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
citation:
ama: Lukacisinova M, Novak S, Paixao T. Modelling and simulation details. 2017.
doi:10.1371/journal.pcbi.1005609.s001
apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Modelling and simulation
details. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s001
chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Modelling and
Simulation Details.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s001.
ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Modelling and simulation details.”
Public Library of Science, 2017.
ista: Lukacisinova M, Novak S, Paixao T. 2017. Modelling and simulation details,
Public Library of Science, 10.1371/journal.pcbi.1005609.s001.
mla: Lukacisinova, Marta, et al. Modelling and Simulation Details. Public
Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.s001.
short: M. Lukacisinova, S. Novak, T. Paixao, (2017).
date_created: 2021-08-09T14:02:34Z
date_published: 2017-07-18T00:00:00Z
date_updated: 2023-02-23T12:55:39Z
day: '18'
department:
- _id: ToBo
- _id: NiBa
- _id: CaGu
doi: 10.1371/journal.pcbi.1005609.s001
month: '07'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '696'
relation: used_in_publication
status: public
status: public
title: Modelling and simulation details
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '9850'
abstract:
- lang: eng
text: In this text, we discuss how a cost of resistance and the possibility of lethal
mutations impact our model.
article_processing_charge: No
author:
- first_name: Marta
full_name: Lukacisinova, Marta
id: 4342E402-F248-11E8-B48F-1D18A9856A87
last_name: Lukacisinova
orcid: 0000-0002-2519-8004
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
citation:
ama: Lukacisinova M, Novak S, Paixao T. Extensions of the model. 2017. doi:10.1371/journal.pcbi.1005609.s002
apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Extensions of the model.
Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s002
chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Extensions of
the Model.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s002.
ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Extensions of the model.” Public
Library of Science, 2017.
ista: Lukacisinova M, Novak S, Paixao T. 2017. Extensions of the model, Public Library
of Science, 10.1371/journal.pcbi.1005609.s002.
mla: Lukacisinova, Marta, et al. Extensions of the Model. Public Library
of Science, 2017, doi:10.1371/journal.pcbi.1005609.s002.
short: M. Lukacisinova, S. Novak, T. Paixao, (2017).
date_created: 2021-08-09T14:05:24Z
date_published: 2017-07-18T00:00:00Z
date_updated: 2023-02-23T12:55:39Z
day: '18'
department:
- _id: ToBo
- _id: CaGu
- _id: NiBa
doi: 10.1371/journal.pcbi.1005609.s002
month: '07'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '696'
relation: used_in_publication
status: public
status: public
title: Extensions of the model
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '9846'
article_processing_charge: No
author:
- first_name: Nela
full_name: Nikolic, Nela
id: 42D9CABC-F248-11E8-B48F-1D18A9856A87
last_name: Nikolic
orcid: 0000-0001-9068-6090
- first_name: Frank
full_name: Schreiber, Frank
last_name: Schreiber
- first_name: Alma
full_name: Dal Co, Alma
last_name: Dal Co
- first_name: Daniel
full_name: Kiviet, Daniel
last_name: Kiviet
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Sten
full_name: Littmann, Sten
last_name: Littmann
- first_name: Marcel
full_name: Kuypers, Marcel
last_name: Kuypers
- first_name: Martin
full_name: Ackermann, Martin
last_name: Ackermann
citation:
ama: Nikolic N, Schreiber F, Dal Co A, et al. Supplementary methods. 2017. doi:10.1371/journal.pgen.1007122.s016
apa: Nikolic, N., Schreiber, F., Dal Co, A., Kiviet, D., Bergmiller, T., Littmann,
S., … Ackermann, M. (2017). Supplementary methods. Public Library of Science.
https://doi.org/10.1371/journal.pgen.1007122.s016
chicago: Nikolic, Nela, Frank Schreiber, Alma Dal Co, Daniel Kiviet, Tobias Bergmiller,
Sten Littmann, Marcel Kuypers, and Martin Ackermann. “Supplementary Methods.”
Public Library of Science, 2017. https://doi.org/10.1371/journal.pgen.1007122.s016.
ieee: N. Nikolic et al., “Supplementary methods.” Public Library of Science,
2017.
ista: Nikolic N, Schreiber F, Dal Co A, Kiviet D, Bergmiller T, Littmann S, Kuypers
M, Ackermann M. 2017. Supplementary methods, Public Library of Science, 10.1371/journal.pgen.1007122.s016.
mla: Nikolic, Nela, et al. Supplementary Methods. Public Library of Science,
2017, doi:10.1371/journal.pgen.1007122.s016.
short: N. Nikolic, F. Schreiber, A. Dal Co, D. Kiviet, T. Bergmiller, S. Littmann,
M. Kuypers, M. Ackermann, (2017).
date_created: 2021-08-09T13:35:17Z
date_published: 2017-12-18T00:00:00Z
date_updated: 2023-02-23T12:25:04Z
day: '18'
department:
- _id: CaGu
doi: 10.1371/journal.pgen.1007122.s016
month: '12'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '541'
relation: used_in_publication
status: public
status: public
title: Supplementary methods
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '9851'
abstract:
- lang: eng
text: Based on the intuitive derivation of the dynamics of SIM allele frequency
pM in the main text, we present a heuristic prediction for the long-term SIM allele
frequencies with χ > 1 stresses and compare it to numerical simulations.
article_processing_charge: No
author:
- first_name: Marta
full_name: Lukacisinova, Marta
id: 4342E402-F248-11E8-B48F-1D18A9856A87
last_name: Lukacisinova
orcid: 0000-0002-2519-8004
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
citation:
ama: Lukacisinova M, Novak S, Paixao T. Heuristic prediction for multiple stresses.
2017. doi:10.1371/journal.pcbi.1005609.s003
apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Heuristic prediction
for multiple stresses. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s003
chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Heuristic Prediction
for Multiple Stresses.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s003.
ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Heuristic prediction for multiple
stresses.” Public Library of Science, 2017.
ista: Lukacisinova M, Novak S, Paixao T. 2017. Heuristic prediction for multiple
stresses, Public Library of Science, 10.1371/journal.pcbi.1005609.s003.
mla: Lukacisinova, Marta, et al. Heuristic Prediction for Multiple Stresses.
Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.s003.
short: M. Lukacisinova, S. Novak, T. Paixao, (2017).
date_created: 2021-08-09T14:08:14Z
date_published: 2017-07-18T00:00:00Z
date_updated: 2023-02-23T12:55:39Z
day: '18'
department:
- _id: ToBo
- _id: CaGu
- _id: NiBa
doi: 10.1371/journal.pcbi.1005609.s003
month: '07'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '696'
relation: used_in_publication
status: public
status: public
title: Heuristic prediction for multiple stresses
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '9852'
abstract:
- lang: eng
text: We show how different combination strategies affect the fraction of individuals
that are multi-resistant.
article_processing_charge: No
author:
- first_name: Marta
full_name: Lukacisinova, Marta
id: 4342E402-F248-11E8-B48F-1D18A9856A87
last_name: Lukacisinova
orcid: 0000-0002-2519-8004
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
citation:
ama: Lukacisinova M, Novak S, Paixao T. Resistance frequencies for different combination
strategies. 2017. doi:10.1371/journal.pcbi.1005609.s004
apa: Lukacisinova, M., Novak, S., & Paixao, T. (2017). Resistance frequencies
for different combination strategies. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609.s004
chicago: Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Resistance Frequencies
for Different Combination Strategies.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.s004.
ieee: M. Lukacisinova, S. Novak, and T. Paixao, “Resistance frequencies for different
combination strategies.” Public Library of Science, 2017.
ista: Lukacisinova M, Novak S, Paixao T. 2017. Resistance frequencies for different
combination strategies, Public Library of Science, 10.1371/journal.pcbi.1005609.s004.
mla: Lukacisinova, Marta, et al. Resistance Frequencies for Different Combination
Strategies. Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.s004.
short: M. Lukacisinova, S. Novak, T. Paixao, (2017).
date_created: 2021-08-09T14:11:40Z
date_published: 2017-07-18T00:00:00Z
date_updated: 2023-02-23T12:55:39Z
day: '18'
department:
- _id: ToBo
- _id: CaGu
- _id: NiBa
doi: 10.1371/journal.pcbi.1005609.s004
month: '07'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '696'
relation: used_in_publication
status: public
status: public
title: Resistance frequencies for different combination strategies
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '9844'
article_processing_charge: No
author:
- first_name: Nela
full_name: Nikolic, Nela
id: 42D9CABC-F248-11E8-B48F-1D18A9856A87
last_name: Nikolic
orcid: 0000-0001-9068-6090
- first_name: Frank
full_name: Schreiber, Frank
last_name: Schreiber
- first_name: Alma
full_name: Dal Co, Alma
last_name: Dal Co
- first_name: Daniel
full_name: Kiviet, Daniel
last_name: Kiviet
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Sten
full_name: Littmann, Sten
last_name: Littmann
- first_name: Marcel
full_name: Kuypers, Marcel
last_name: Kuypers
- first_name: Martin
full_name: Ackermann, Martin
last_name: Ackermann
citation:
ama: Nikolic N, Schreiber F, Dal Co A, et al. Source data for figures and tables.
2017. doi:10.1371/journal.pgen.1007122.s018
apa: Nikolic, N., Schreiber, F., Dal Co, A., Kiviet, D., Bergmiller, T., Littmann,
S., … Ackermann, M. (2017). Source data for figures and tables. Public Library
of Science. https://doi.org/10.1371/journal.pgen.1007122.s018
chicago: Nikolic, Nela, Frank Schreiber, Alma Dal Co, Daniel Kiviet, Tobias Bergmiller,
Sten Littmann, Marcel Kuypers, and Martin Ackermann. “Source Data for Figures
and Tables.” Public Library of Science, 2017. https://doi.org/10.1371/journal.pgen.1007122.s018.
ieee: N. Nikolic et al., “Source data for figures and tables.” Public Library
of Science, 2017.
ista: Nikolic N, Schreiber F, Dal Co A, Kiviet D, Bergmiller T, Littmann S, Kuypers
M, Ackermann M. 2017. Source data for figures and tables, Public Library of Science,
10.1371/journal.pgen.1007122.s018.
mla: Nikolic, Nela, et al. Source Data for Figures and Tables. Public Library
of Science, 2017, doi:10.1371/journal.pgen.1007122.s018.
short: N. Nikolic, F. Schreiber, A. Dal Co, D. Kiviet, T. Bergmiller, S. Littmann,
M. Kuypers, M. Ackermann, (2017).
date_created: 2021-08-09T13:27:16Z
date_published: 2017-12-18T00:00:00Z
date_updated: 2023-02-23T12:25:04Z
day: '18'
department:
- _id: CaGu
doi: 10.1371/journal.pgen.1007122.s018
month: '12'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '541'
relation: used_in_publication
status: public
status: public
title: Source data for figures and tables
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2017'
...
---
_id: '561'
abstract:
- lang: eng
text: Restriction–modification systems are widespread genetic elements that protect
bacteria from bacteriophage infections by recognizing and cleaving heterologous
DNA at short, well-defined sequences called restriction sites. Bioinformatic evidence
shows that restriction sites are significantly underrepresented in bacteriophage
genomes, presumably because bacteriophages with fewer restriction sites are more
likely to escape cleavage by restriction–modification systems. However, how mutations
in restriction sites affect the likelihood of bacteriophage escape is unknown.
Using the bacteriophage l and the restriction–modification system EcoRI, we show
that while mutation effects at different restriction sites are unequal, they are
independent. As a result, the probability of bacteriophage escape increases with
each mutated restriction site. Our results experimentally support the role of
restriction site avoidance as a response to selection imposed by restriction–modification
systems and offer an insight into the events underlying the process of bacteriophage
escape.
acknowledgement: This work was funded by an HFSP Young Investigators' grant RGY0079/2011
(C.C.G.). M.P. is a recipient of a DOC Fellowship of the Austrian Academy of Science
at the Institute of Science and Technology Austria.
article_number: '20170646'
article_processing_charge: No
article_type: original
author:
- first_name: Maros
full_name: Pleska, Maros
id: 4569785E-F248-11E8-B48F-1D18A9856A87
last_name: Pleska
orcid: 0000-0001-7460-7479
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Pleska M, Guet CC. Effects of mutations in phage restriction sites during escape
from restriction–modification. Biology Letters. 2017;13(12). doi:10.1098/rsbl.2017.0646
apa: Pleska, M., & Guet, C. C. (2017). Effects of mutations in phage restriction
sites during escape from restriction–modification. Biology Letters. The
Royal Society. https://doi.org/10.1098/rsbl.2017.0646
chicago: Pleska, Maros, and Calin C Guet. “Effects of Mutations in Phage Restriction
Sites during Escape from Restriction–Modification.” Biology Letters. The
Royal Society, 2017. https://doi.org/10.1098/rsbl.2017.0646.
ieee: M. Pleska and C. C. Guet, “Effects of mutations in phage restriction sites
during escape from restriction–modification,” Biology Letters, vol. 13,
no. 12. The Royal Society, 2017.
ista: Pleska M, Guet CC. 2017. Effects of mutations in phage restriction sites during
escape from restriction–modification. Biology Letters. 13(12), 20170646.
mla: Pleska, Maros, and Calin C. Guet. “Effects of Mutations in Phage Restriction
Sites during Escape from Restriction–Modification.” Biology Letters, vol.
13, no. 12, 20170646, The Royal Society, 2017, doi:10.1098/rsbl.2017.0646.
short: M. Pleska, C.C. Guet, Biology Letters 13 (2017).
date_created: 2018-12-11T11:47:11Z
date_published: 2017-12-01T00:00:00Z
date_updated: 2023-09-07T11:59:32Z
day: '01'
department:
- _id: CaGu
doi: 10.1098/rsbl.2017.0646
external_id:
pmid:
- '29237814'
intvolume: ' 13'
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1098/rsbl.2017.0646
month: '12'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 251BCBEC-B435-11E9-9278-68D0E5697425
grant_number: RGY0079/2011
name: Multi-Level Conflicts in Evolutionary Dynamics of Restriction-Modification
Systems (HFSP Young investigators' grant)
- _id: 251D65D8-B435-11E9-9278-68D0E5697425
grant_number: '24210'
name: Effects of Stochasticity on the Function of Restriction-Modi cation Systems
at the Single-Cell Level (DOC Fellowship)
publication: Biology Letters
publication_identifier:
issn:
- 1744-9561
publication_status: published
publisher: The Royal Society
publist_id: '7253'
quality_controlled: '1'
related_material:
record:
- id: '9847'
relation: research_data
status: public
- id: '202'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Effects of mutations in phage restriction sites during escape from restriction–modification
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2017'
...
---
_id: '202'
abstract:
- lang: eng
text: 'Restriction-modification (RM) represents the simplest and possibly the most
widespread mechanism of self/non-self discrimination in nature. In order to provide
bacteria with immunity against bacteriophages and other parasitic genetic elements,
RM systems rely on a balance between two enzymes: the restriction enzyme, which
cleaves non-self DNA at specific restriction sites, and the modification enzyme,
which tags the host’s DNA as self and thus protects it from cleavage. In this
thesis, I use population and single-cell level experiments in combination with
mathematical modeling to study different aspects of the interplay between RM systems,
bacteria and bacteriophages. First, I analyze how mutations in phage restriction
sites affect the probability of phage escape – an inherently stochastic process,
during which phages accidently get modified instead of restricted. Next, I use
single-cell experiments to show that RM systems can, with a low probability, attack
the genome of their bacterial host and that this primitive form of autoimmunity
leads to a tradeoff between the evolutionary cost and benefit of RM systems. Finally,
I investigate the nature of interactions between bacteria, RM systems and temperate
bacteriophages to find that, as a consequence of phage escape and its impact on
population dynamics, RM systems can promote acquisition of symbiotic bacteriophages,
rather than limit it. The results presented here uncover new fundamental biological
properties of RM systems and highlight their importance in the ecology and evolution
of bacteria, bacteriophages and their interactions.'
acknowledgement: "During my PhD studies, I received help from many people, all of
which unfortunately cannot be listed here. I thank them deeply and hope that I never
made them regret their kindness.\r\nI would like to express my deepest gratitude
to Călin Guet, who went far beyond his responsibilities as an advisor and was to
me also a great mentor and a friend. Călin never questioned my potential or lacked
compassion and I cannot thank him enough for cultivating in me an independent scientist.
I was amazed by his ability to recognize the most fascinating scientific problems
in objects of study that others would find mundane. I hope I adopted at least a
fraction of this ability.\r\nI will be forever grateful to Bruce Levin for all his
support and especially for giving me the best possible example of how one can practice
excellent science with humor and style. Working with Bruce was a true privilege.\r\nI
thank Jonathan Bollback and Gašper Tkačik for serving in my PhD committee and the
Austrian Academy of Science for funding my PhD research via the DOC fellowship.\r\nI
thank all our lab members: Tobias Bergmiller for his guidance, especially in the
first years of my research, and for being a good friend throughout; Remy Chait for
staying in the lab at unreasonable hours and for the good laughs at bad jokes we
shared; Anna Staron for supportively listening to my whines whenever I had to run
a gel; Magdalena Steinrück for her pioneering work in the lab; Kathrin Tomasek for
keeping the entropic forces in check and for her FACS virtuosity; Isabella Tomanek
for always being nice to me, no matter how much bench space I took from her.\r\nI
thank all my collaborators: Reiko Okura and Yuichi Wakamoto for performing and analyzing
the microfluidic experiments; Long Qian and Edo Kussell for their bioinformatics
analysis; Dominik Refardt for the λ kan phage; Moritz for his help with the mathematical
modeling. I thank Fabienne Jesse for her tireless editorial work on all our manuscripts.\r\nFinally,
I would like to thank my family and especially my wife Edita, who sacrificed a lot
so that I can pursue my goals and dreams.\r\n"
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Maros
full_name: Pleska, Maros
id: 4569785E-F248-11E8-B48F-1D18A9856A87
last_name: Pleska
orcid: 0000-0001-7460-7479
citation:
ama: Pleska M. Biology of restriction-modification systems at the single-cell and
population level. 2017. doi:10.15479/AT:ISTA:th_916
apa: Pleska, M. (2017). Biology of restriction-modification systems at the single-cell
and population level. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:th_916
chicago: Pleska, Maros. “Biology of Restriction-Modification Systems at the Single-Cell
and Population Level.” Institute of Science and Technology Austria, 2017. https://doi.org/10.15479/AT:ISTA:th_916.
ieee: M. Pleska, “Biology of restriction-modification systems at the single-cell
and population level,” Institute of Science and Technology Austria, 2017.
ista: Pleska M. 2017. Biology of restriction-modification systems at the single-cell
and population level. Institute of Science and Technology Austria.
mla: Pleska, Maros. Biology of Restriction-Modification Systems at the Single-Cell
and Population Level. Institute of Science and Technology Austria, 2017, doi:10.15479/AT:ISTA:th_916.
short: M. Pleska, Biology of Restriction-Modification Systems at the Single-Cell
and Population Level, Institute of Science and Technology Austria, 2017.
date_created: 2018-12-11T11:45:10Z
date_published: 2017-10-01T00:00:00Z
date_updated: 2023-09-15T12:04:56Z
day: '01'
ddc:
- '576'
- '579'
degree_awarded: PhD
department:
- _id: CaGu
doi: 10.15479/AT:ISTA:th_916
file:
- access_level: open_access
checksum: 33cfb59674e91f82e3738396d3fb3776
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:08:48Z
date_updated: 2020-07-14T12:45:24Z
file_id: '4710'
file_name: IST-2018-916-v1+3_2017_Pleska_Maros_Thesis.pdf
file_size: 18569590
relation: main_file
- access_level: closed
checksum: dcc239968decb233e7f98cf1083d8c26
content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document
creator: dernst
date_created: 2019-04-05T08:33:14Z
date_updated: 2020-07-14T12:45:24Z
file_id: '6204'
file_name: 2017_Pleska_Maros_Thesis.docx
file_size: 2801649
relation: source_file
file_date_updated: 2020-07-14T12:45:24Z
has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: '126'
project:
- _id: 251D65D8-B435-11E9-9278-68D0E5697425
grant_number: '24210'
name: Effects of Stochasticity on the Function of Restriction-Modi cation Systems
at the Single-Cell Level (DOC Fellowship)
publication_identifier:
issn:
- 2663-337X
publication_status: published
publisher: Institute of Science and Technology Austria
publist_id: '7711'
pubrep_id: '916'
related_material:
record:
- id: '1243'
relation: part_of_dissertation
status: public
- id: '561'
relation: part_of_dissertation
status: public
- id: '457'
relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
title: Biology of restriction-modification systems at the single-cell and population
level
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: dissertation
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2017'
...
---
_id: '1351'
abstract:
- lang: eng
text: The behaviour of gene regulatory networks (GRNs) is typically analysed using
simulation-based statistical testing-like methods. In this paper, we demonstrate
that we can replace this approach by a formal verification-like method that gives
higher assurance and scalability. We focus on Wagner’s weighted GRN model with
varying weights, which is used in evolutionary biology. In the model, weight parameters
represent the gene interaction strength that may change due to genetic mutations.
For a property of interest, we synthesise the constraints over the parameter space
that represent the set of GRNs satisfying the property. We experimentally show
that our parameter synthesis procedure computes the mutational robustness of GRNs—an
important problem of interest in evolutionary biology—more efficiently than the
classical simulation method. We specify the property in linear temporal logic.
We employ symbolic bounded model checking and SMT solving to compute the space
of GRNs that satisfy the property, which amounts to synthesizing a set of linear
constraints on the weights.
article_processing_charge: No
author:
- first_name: Mirco
full_name: Giacobbe, Mirco
id: 3444EA5E-F248-11E8-B48F-1D18A9856A87
last_name: Giacobbe
orcid: 0000-0001-8180-0904
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Ashutosh
full_name: Gupta, Ashutosh
id: 335E5684-F248-11E8-B48F-1D18A9856A87
last_name: Gupta
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Tatjana
full_name: Petrov, Tatjana
id: 3D5811FC-F248-11E8-B48F-1D18A9856A87
last_name: Petrov
orcid: 0000-0002-9041-0905
citation:
ama: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. Model checking
the evolution of gene regulatory networks. Acta Informatica. 2017;54(8):765-787.
doi:10.1007/s00236-016-0278-x
apa: Giacobbe, M., Guet, C. C., Gupta, A., Henzinger, T. A., Paixao, T., & Petrov,
T. (2017). Model checking the evolution of gene regulatory networks. Acta Informatica.
Springer. https://doi.org/10.1007/s00236-016-0278-x
chicago: Giacobbe, Mirco, Calin C Guet, Ashutosh Gupta, Thomas A Henzinger, Tiago
Paixao, and Tatjana Petrov. “Model Checking the Evolution of Gene Regulatory Networks.”
Acta Informatica. Springer, 2017. https://doi.org/10.1007/s00236-016-0278-x.
ieee: M. Giacobbe, C. C. Guet, A. Gupta, T. A. Henzinger, T. Paixao, and T. Petrov,
“Model checking the evolution of gene regulatory networks,” Acta Informatica,
vol. 54, no. 8. Springer, pp. 765–787, 2017.
ista: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. 2017. Model
checking the evolution of gene regulatory networks. Acta Informatica. 54(8), 765–787.
mla: Giacobbe, Mirco, et al. “Model Checking the Evolution of Gene Regulatory Networks.”
Acta Informatica, vol. 54, no. 8, Springer, 2017, pp. 765–87, doi:10.1007/s00236-016-0278-x.
short: M. Giacobbe, C.C. Guet, A. Gupta, T.A. Henzinger, T. Paixao, T. Petrov, Acta
Informatica 54 (2017) 765–787.
date_created: 2018-12-11T11:51:32Z
date_published: 2017-12-01T00:00:00Z
date_updated: 2023-09-20T11:06:03Z
day: '01'
ddc:
- '006'
- '576'
department:
- _id: ToHe
- _id: CaGu
- _id: NiBa
doi: 10.1007/s00236-016-0278-x
ec_funded: 1
external_id:
isi:
- '000414343200003'
file:
- access_level: open_access
checksum: 4e661d9135d7f8c342e8e258dee76f3e
content_type: application/pdf
creator: dernst
date_created: 2019-01-17T15:57:29Z
date_updated: 2020-07-14T12:44:46Z
file_id: '5841'
file_name: 2017_ActaInformatica_Giacobbe.pdf
file_size: 755241
relation: main_file
file_date_updated: 2020-07-14T12:44:46Z
has_accepted_license: '1'
intvolume: ' 54'
isi: 1
issue: '8'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
page: 765 - 787
project:
- _id: 25EE3708-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '267989'
name: Quantitative Reactive Modeling
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Acta Informatica
publication_identifier:
issn:
- '00015903'
publication_status: published
publisher: Springer
publist_id: '5898'
pubrep_id: '649'
quality_controlled: '1'
related_material:
record:
- id: '1835'
relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Model checking the evolution of gene regulatory networks
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 54
year: '2017'
...
---
_id: '1336'
abstract:
- lang: eng
text: Evolutionary algorithms (EAs) form a popular optimisation paradigm inspired
by natural evolution. In recent years the field of evolutionary computation has
developed a rigorous analytical theory to analyse the runtimes of EAs on many
illustrative problems. Here we apply this theory to a simple model of natural
evolution. In the Strong Selection Weak Mutation (SSWM) evolutionary regime the
time between occurrences of new mutations is much longer than the time it takes
for a mutated genotype to take over the population. In this situation, the population
only contains copies of one genotype and evolution can be modelled as a stochastic
process evolving one genotype by means of mutation and selection between the resident
and the mutated genotype. The probability of accepting the mutated genotype then
depends on the change in fitness. We study this process, SSWM, from an algorithmic
perspective, quantifying its expected optimisation time for various parameters
and investigating differences to a similar evolutionary algorithm, the well-known
(1+1) EA. We show that SSWM can have a moderate advantage over the (1+1) EA at
crossing fitness valleys and study an example where SSWM outperforms the (1+1)
EA by taking advantage of information on the fitness gradient.
article_processing_charge: No
author:
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Jorge
full_name: Pérez Heredia, Jorge
last_name: Pérez Heredia
- first_name: Dirk
full_name: Sudholt, Dirk
last_name: Sudholt
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
citation:
ama: Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. Towards a runtime comparison
of natural and artificial evolution. Algorithmica. 2017;78(2):681-713.
doi:10.1007/s00453-016-0212-1
apa: Paixao, T., Pérez Heredia, J., Sudholt, D., & Trubenova, B. (2017). Towards
a runtime comparison of natural and artificial evolution. Algorithmica.
Springer. https://doi.org/10.1007/s00453-016-0212-1
chicago: Paixao, Tiago, Jorge Pérez Heredia, Dirk Sudholt, and Barbora Trubenova.
“Towards a Runtime Comparison of Natural and Artificial Evolution.” Algorithmica.
Springer, 2017. https://doi.org/10.1007/s00453-016-0212-1.
ieee: T. Paixao, J. Pérez Heredia, D. Sudholt, and B. Trubenova, “Towards a runtime
comparison of natural and artificial evolution,” Algorithmica, vol. 78,
no. 2. Springer, pp. 681–713, 2017.
ista: Paixao T, Pérez Heredia J, Sudholt D, Trubenova B. 2017. Towards a runtime
comparison of natural and artificial evolution. Algorithmica. 78(2), 681–713.
mla: Paixao, Tiago, et al. “Towards a Runtime Comparison of Natural and Artificial
Evolution.” Algorithmica, vol. 78, no. 2, Springer, 2017, pp. 681–713,
doi:10.1007/s00453-016-0212-1.
short: T. Paixao, J. Pérez Heredia, D. Sudholt, B. Trubenova, Algorithmica 78 (2017)
681–713.
date_created: 2018-12-11T11:51:27Z
date_published: 2017-06-01T00:00:00Z
date_updated: 2023-09-20T11:14:42Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1007/s00453-016-0212-1
ec_funded: 1
external_id:
isi:
- '000400379500013'
file:
- access_level: open_access
checksum: 7873f665a0c598ac747c908f34cb14b9
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:10:19Z
date_updated: 2020-07-14T12:44:44Z
file_id: '4805'
file_name: IST-2016-658-v1+1_s00453-016-0212-1.pdf
file_size: 710206
relation: main_file
file_date_updated: 2020-07-14T12:44:44Z
has_accepted_license: '1'
intvolume: ' 78'
isi: 1
issue: '2'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 681 - 713
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
publication: Algorithmica
publication_identifier:
issn:
- '01784617'
publication_status: published
publisher: Springer
publist_id: '5931'
pubrep_id: '658'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Towards a runtime comparison of natural and artificial evolution
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 78
year: '2017'
...
---
_id: '1084'
abstract:
- lang: eng
text: 'BceRS and PsdRS are paralogous two-component systems in Bacillus subtilis
controlling the response to antimicrobial peptides. In the presence of extracellular
bacitracin and nisin, respectively, the two response regulators (RRs) bind their
target promoters, PbceA or PpsdA, resulting in a strong up-regulation of target
gene expression and ultimately antibiotic resistance. Despite high sequence similarity
between the RRs BceR and PsdR and their known binding sites, no cross-regulation
has been observed between them. We therefore investigated the specificity determinants
of PbceA and PpsdA that ensure the insulation of these two paralogous pathways
at the RR–promoter interface. In vivo and in vitro analyses demonstrate that the
regulatory regions within these two promoters contain three important elements:
in addition to the known (main) binding site, we identified a linker region and
a secondary binding site that are crucial for functionality. Initial binding to
the high-affinity, low-specificity main binding site is a prerequisite for the
subsequent highly specific binding of a second RR dimer to the low-affinity secondary
binding site. In addition to this hierarchical cooperative binding, discrimination
requires a competition of the two RRs for their respective binding site mediated
by only slight differences in binding affinities.'
article_processing_charge: No
author:
- first_name: Chong
full_name: Fang, Chong
last_name: Fang
- first_name: Anna A
full_name: Nagy-Staron, Anna A
id: 3ABC5BA6-F248-11E8-B48F-1D18A9856A87
last_name: Nagy-Staron
orcid: 0000-0002-1391-8377
- first_name: Martin
full_name: Grafe, Martin
last_name: Grafe
- first_name: Ralf
full_name: Heermann, Ralf
last_name: Heermann
- first_name: Kirsten
full_name: Jung, Kirsten
last_name: Jung
- first_name: Susanne
full_name: Gebhard, Susanne
last_name: Gebhard
- first_name: Thorsten
full_name: Mascher, Thorsten
last_name: Mascher
citation:
ama: Fang C, Nagy-Staron AA, Grafe M, et al. Insulation and wiring specificity of
BceR like response regulators and their target promoters in Bacillus subtilis.
Molecular Microbiology. 2017;104(1):16-31. doi:10.1111/mmi.13597
apa: Fang, C., Nagy-Staron, A. A., Grafe, M., Heermann, R., Jung, K., Gebhard, S.,
& Mascher, T. (2017). Insulation and wiring specificity of BceR like response
regulators and their target promoters in Bacillus subtilis. Molecular Microbiology.
Wiley-Blackwell. https://doi.org/10.1111/mmi.13597
chicago: Fang, Chong, Anna A Nagy-Staron, Martin Grafe, Ralf Heermann, Kirsten Jung,
Susanne Gebhard, and Thorsten Mascher. “Insulation and Wiring Specificity of BceR
like Response Regulators and Their Target Promoters in Bacillus Subtilis.” Molecular
Microbiology. Wiley-Blackwell, 2017. https://doi.org/10.1111/mmi.13597.
ieee: C. Fang et al., “Insulation and wiring specificity of BceR like response
regulators and their target promoters in Bacillus subtilis,” Molecular Microbiology,
vol. 104, no. 1. Wiley-Blackwell, pp. 16–31, 2017.
ista: Fang C, Nagy-Staron AA, Grafe M, Heermann R, Jung K, Gebhard S, Mascher T.
2017. Insulation and wiring specificity of BceR like response regulators and their
target promoters in Bacillus subtilis. Molecular Microbiology. 104(1), 16–31.
mla: Fang, Chong, et al. “Insulation and Wiring Specificity of BceR like Response
Regulators and Their Target Promoters in Bacillus Subtilis.” Molecular Microbiology,
vol. 104, no. 1, Wiley-Blackwell, 2017, pp. 16–31, doi:10.1111/mmi.13597.
short: C. Fang, A.A. Nagy-Staron, M. Grafe, R. Heermann, K. Jung, S. Gebhard, T.
Mascher, Molecular Microbiology 104 (2017) 16–31.
date_created: 2018-12-11T11:50:03Z
date_published: 2017-04-01T00:00:00Z
date_updated: 2023-09-20T11:48:43Z
day: '01'
department:
- _id: CaGu
doi: 10.1111/mmi.13597
external_id:
isi:
- '000398059200002'
intvolume: ' 104'
isi: 1
issue: '1'
language:
- iso: eng
month: '04'
oa_version: None
page: 16 - 31
publication: Molecular Microbiology
publication_identifier:
issn:
- ' 0950382X'
publication_status: published
publisher: Wiley-Blackwell
publist_id: '6294'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Insulation and wiring specificity of BceR like response regulators and their
target promoters in Bacillus subtilis
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 104
year: '2017'
...
---
_id: '954'
abstract:
- lang: eng
text: Understanding the relation between genotype and phenotype remains a major
challenge. The difficulty of predicting individual mutation effects, and particularly
the interactions between them, has prevented the development of a comprehensive
theory that links genotypic changes to their phenotypic effects. We show that
a general thermodynamic framework for gene regulation, based on a biophysical
understanding of protein-DNA binding, accurately predicts the sign of epistasis
in a canonical cis-regulatory element consisting of overlapping RNA polymerase
and repressor binding sites. Sign and magnitude of individual mutation effects
are sufficient to predict the sign of epistasis and its environmental dependence.
Thus, the thermodynamic model offers the correct null prediction for epistasis
between mutations across DNA-binding sites. Our results indicate that a predictive
theory for the effects of cis-regulatory mutations is possible from first principles,
as long as the essential molecular mechanisms and the constraints these impose
on a biological system are accounted for.
article_number: e25192
article_processing_charge: Yes
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Lagator M, Paixao T, Barton NH, Bollback JP, Guet CC. On the mechanistic nature
of epistasis in a canonical cis-regulatory element. eLife. 2017;6. doi:10.7554/eLife.25192
apa: Lagator, M., Paixao, T., Barton, N. H., Bollback, J. P., & Guet, C. C.
(2017). On the mechanistic nature of epistasis in a canonical cis-regulatory element.
ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.25192
chicago: Lagator, Mato, Tiago Paixao, Nicholas H Barton, Jonathan P Bollback, and
Calin C Guet. “On the Mechanistic Nature of Epistasis in a Canonical Cis-Regulatory
Element.” ELife. eLife Sciences Publications, 2017. https://doi.org/10.7554/eLife.25192.
ieee: M. Lagator, T. Paixao, N. H. Barton, J. P. Bollback, and C. C. Guet, “On the
mechanistic nature of epistasis in a canonical cis-regulatory element,” eLife,
vol. 6. eLife Sciences Publications, 2017.
ista: Lagator M, Paixao T, Barton NH, Bollback JP, Guet CC. 2017. On the mechanistic
nature of epistasis in a canonical cis-regulatory element. eLife. 6, e25192.
mla: Lagator, Mato, et al. “On the Mechanistic Nature of Epistasis in a Canonical
Cis-Regulatory Element.” ELife, vol. 6, e25192, eLife Sciences Publications,
2017, doi:10.7554/eLife.25192.
short: M. Lagator, T. Paixao, N.H. Barton, J.P. Bollback, C.C. Guet, ELife 6 (2017).
date_created: 2018-12-11T11:49:23Z
date_published: 2017-05-18T00:00:00Z
date_updated: 2023-09-22T10:01:17Z
day: '18'
ddc:
- '576'
department:
- _id: CaGu
- _id: NiBa
- _id: JoBo
doi: 10.7554/eLife.25192
ec_funded: 1
external_id:
isi:
- '000404024800001'
file:
- access_level: open_access
checksum: 59cdd4400fb41280122d414fea971546
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:17:49Z
date_updated: 2020-07-14T12:48:16Z
file_id: '5306'
file_name: IST-2017-841-v1+1_elife-25192-v2.pdf
file_size: 2441529
relation: main_file
- access_level: open_access
checksum: b69024880558b858eb8c5d47a92b6377
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:17:50Z
date_updated: 2020-07-14T12:48:16Z
file_id: '5307'
file_name: IST-2017-841-v1+2_elife-25192-figures-v2.pdf
file_size: 3752660
relation: main_file
file_date_updated: 2020-07-14T12:48:16Z
has_accepted_license: '1'
intvolume: ' 6'
isi: 1
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
publication: eLife
publication_identifier:
issn:
- 2050084X
publication_status: published
publisher: eLife Sciences Publications
publist_id: '6460'
pubrep_id: '841'
quality_controlled: '1'
scopus_import: '1'
status: public
title: On the mechanistic nature of epistasis in a canonical cis-regulatory element
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 6
year: '2017'
...
---
_id: '1007'
abstract:
- lang: eng
text: 'A nonlinear system possesses an invariance with respect to a set of transformations
if its output dynamics remain invariant when transforming the input, and adjusting
the initial condition accordingly. Most research has focused on invariances with
respect to time-independent pointwise transformations like translational-invariance
(u(t) -> u(t) + p, p in R) or scale-invariance (u(t) -> pu(t), p in R>0).
In this article, we introduce the concept of s0-invariances with respect to continuous
input transformations exponentially growing/decaying over time. We show that s0-invariant
systems not only encompass linear time-invariant (LTI) systems with transfer functions
having an irreducible zero at s0 in R, but also that the input/output relationship
of nonlinear s0-invariant systems possesses properties well known from their linear
counterparts. Furthermore, we extend the concept of s0-invariances to second-
and higher-order s0-invariances, corresponding to invariances with respect to
transformations of the time-derivatives of the input, and encompassing LTI systems
with zeros of multiplicity two or higher. Finally, we show that nth-order 0-invariant
systems realize – under mild conditions – nth-order nonlinear differential operators:
when excited by an input of a characteristic functional form, the system’s output
converges to a constant value only depending on the nth (nonlinear) derivative
of the input.'
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Moritz
full_name: Lang, Moritz
id: 29E0800A-F248-11E8-B48F-1D18A9856A87
last_name: Lang
- first_name: Eduardo
full_name: Sontag, Eduardo
last_name: Sontag
citation:
ama: Lang M, Sontag E. Zeros of nonlinear systems with input invariances. Automatica.
2017;81C:46-55. doi:10.1016/j.automatica.2017.03.030
apa: Lang, M., & Sontag, E. (2017). Zeros of nonlinear systems with input invariances.
Automatica. International Federation of Automatic Control. https://doi.org/10.1016/j.automatica.2017.03.030
chicago: Lang, Moritz, and Eduardo Sontag. “Zeros of Nonlinear Systems with Input
Invariances.” Automatica. International Federation of Automatic Control,
2017. https://doi.org/10.1016/j.automatica.2017.03.030.
ieee: M. Lang and E. Sontag, “Zeros of nonlinear systems with input invariances,”
Automatica, vol. 81C. International Federation of Automatic Control, pp.
46–55, 2017.
ista: Lang M, Sontag E. 2017. Zeros of nonlinear systems with input invariances.
Automatica. 81C, 46–55.
mla: Lang, Moritz, and Eduardo Sontag. “Zeros of Nonlinear Systems with Input Invariances.”
Automatica, vol. 81C, International Federation of Automatic Control, 2017,
pp. 46–55, doi:10.1016/j.automatica.2017.03.030.
short: M. Lang, E. Sontag, Automatica 81C (2017) 46–55.
date_created: 2018-12-11T11:49:39Z
date_published: 2017-06-01T00:00:00Z
date_updated: 2023-10-17T08:51:18Z
day: '01'
ddc:
- '000'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1016/j.automatica.2017.03.030
ec_funded: 1
external_id:
isi:
- '000403513900006'
file:
- access_level: open_access
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:11:29Z
date_updated: 2018-12-12T10:11:29Z
file_id: '4884'
file_name: IST-2017-813-v1+1_ZerosOfNonlinearSystems.pdf
file_size: 1401954
relation: main_file
file_date_updated: 2018-12-12T10:11:29Z
has_accepted_license: '1'
isi: 1
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
page: 46 - 55
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Automatica
publication_identifier:
issn:
- 0005-1098
publication_status: published
publisher: International Federation of Automatic Control
publist_id: '6391'
pubrep_id: '813'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Zeros of nonlinear systems with input invariances
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 81C
year: '2017'
...
---
_id: '5564'
abstract:
- lang: eng
text: Compressed Fastq files with whole-genome sequencing data of IS-wt strain D
and clones from four evolved populations (A11, C08, C10, D08). Information on
this data collection is available in the Methods Section of the primary publication.
article_processing_charge: No
author:
- first_name: Magdalena
full_name: Steinrück, Magdalena
id: 2C023F40-F248-11E8-B48F-1D18A9856A87
last_name: Steinrück
orcid: 0000-0003-1229-9719
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Steinrück M, Guet CC. Fastq files for “Complex chromosomal neighborhood effects
determine the adaptive potential of a gene under selection.” 2017. doi:10.15479/AT:ISTA:65
apa: Steinrück, M., & Guet, C. C. (2017). Fastq files for “Complex chromosomal
neighborhood effects determine the adaptive potential of a gene under selection.”
Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:65
chicago: Steinrück, Magdalena, and Calin C Guet. “Fastq Files for ‘Complex Chromosomal
Neighborhood Effects Determine the Adaptive Potential of a Gene under Selection.’”
Institute of Science and Technology Austria, 2017. https://doi.org/10.15479/AT:ISTA:65.
ieee: M. Steinrück and C. C. Guet, “Fastq files for ‘Complex chromosomal neighborhood
effects determine the adaptive potential of a gene under selection.’” Institute
of Science and Technology Austria, 2017.
ista: Steinrück M, Guet CC. 2017. Fastq files for ‘Complex chromosomal neighborhood
effects determine the adaptive potential of a gene under selection’, Institute
of Science and Technology Austria, 10.15479/AT:ISTA:65.
mla: Steinrück, Magdalena, and Calin C. Guet. Fastq Files for “Complex Chromosomal
Neighborhood Effects Determine the Adaptive Potential of a Gene under Selection.”
Institute of Science and Technology Austria, 2017, doi:10.15479/AT:ISTA:65.
short: M. Steinrück, C.C. Guet, (2017).
datarep_id: '65'
date_created: 2018-12-12T12:31:33Z
date_published: 2017-04-11T00:00:00Z
date_updated: 2024-02-21T13:47:28Z
day: '11'
ddc:
- '576'
department:
- _id: CaGu
doi: 10.15479/AT:ISTA:65
file:
- access_level: open_access
checksum: 31a0c01d022721073241a23d192cc37e
content_type: application/zip
creator: system
date_created: 2018-12-12T13:03:18Z
date_updated: 2020-07-14T12:47:03Z
file_id: '5627'
file_name: IST-2017-65-v1+1_D_anc_1.fastq.zip
file_size: 1225959109
relation: main_file
- access_level: open_access
checksum: d8f26f83ce7e7e45436121f9c6cd9b83
content_type: application/zip
creator: system
date_created: 2018-12-12T13:03:30Z
date_updated: 2020-07-14T12:47:03Z
file_id: '5628'
file_name: IST-2017-65-v1+1_D_anc_2.fastq.zip
file_size: 1422656107
relation: main_file
- access_level: open_access
checksum: e07b99bcfe55b5f132ca03b8b48c8cbc
content_type: application/zip
creator: system
date_created: 2018-12-12T13:03:33Z
date_updated: 2020-07-14T12:47:03Z
file_id: '5629'
file_name: IST-2017-65-v1+2_D_A11_1.fastq.zip
file_size: 565014975
relation: main_file
- access_level: open_access
checksum: eda86143d5f32d844b54f8530041e32b
content_type: application/zip
creator: system
date_created: 2018-12-12T13:03:42Z
date_updated: 2020-07-14T12:47:03Z
file_id: '5630'
file_name: IST-2017-65-v1+3_D_A11_2.fastq.zip
file_size: 564490030
relation: main_file
- access_level: open_access
checksum: 906d44f950c1626d9b99f34fbf89cb12
content_type: application/zip
creator: system
date_created: 2018-12-12T13:03:46Z
date_updated: 2020-07-14T12:47:03Z
file_id: '5631'
file_name: IST-2017-65-v1+4_D_C10_1.fastq.zip
file_size: 875430169
relation: main_file
- access_level: open_access
checksum: 6ca14a032a79e0c787106bdf635725c9
content_type: application/zip
creator: system
date_created: 2018-12-12T13:03:54Z
date_updated: 2020-07-14T12:47:03Z
file_id: '5632'
file_name: IST-2017-65-v1+6_D_C08_2.fastq.zip
file_size: 638298201
relation: main_file
- access_level: open_access
checksum: 66ab16ddb5ba64b2e263ef746ebf2893
content_type: application/zip
creator: system
date_created: 2018-12-12T13:04:01Z
date_updated: 2020-07-14T12:47:03Z
file_id: '5633'
file_name: IST-2017-65-v1+5_D_C10_2.fastq.zip
file_size: 894702866
relation: main_file
- access_level: open_access
checksum: 82607970174f8d37773b7d3acc712195
content_type: application/zip
creator: system
date_created: 2018-12-12T13:04:07Z
date_updated: 2020-07-14T12:47:03Z
file_id: '5634'
file_name: IST-2017-65-v1+7_D_C08_1.fastq.zip
file_size: 623648989
relation: main_file
- access_level: open_access
checksum: 225c30b243268c7dda9d6f8327933252
content_type: application/zip
creator: system
date_created: 2018-12-12T13:04:11Z
date_updated: 2020-07-14T12:47:03Z
file_id: '5635'
file_name: IST-2017-65-v1+8_D_D08_1.fastq.zip
file_size: 259359583
relation: main_file
file_date_updated: 2020-07-14T12:47:03Z
has_accepted_license: '1'
month: '04'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '704'
relation: research_paper
status: public
status: public
title: Fastq files for "Complex chromosomal neighborhood effects determine the adaptive
potential of a gene under selection"
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2017'
...
---
_id: '5560'
abstract:
- lang: eng
text: "This repository contains the data collected for the manuscript \"Biased partitioning
of the multi-drug efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity\".\r\nThe
data is compressed into a single archive. Within the archive, different folders
correspond to figures of the main text and the SI of the related publication.\r\nData
is saved as plain text, with each folder containing a separate readme file describing
the format. Typically, the data is from fluorescence microscopy measurements of
single cells growing in a microfluidic \"mother machine\" device, and consists
of relevant values (primarily arbitrary unit or normalized fluorescence measurements,
and division times / growth rates) after raw microscopy images have been processed,
segmented, and their features extracted, as described in the methods section of
the related publication."
article_processing_charge: No
author:
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Anna M
full_name: Andersson, Anna M
id: 2B8A40DA-F248-11E8-B48F-1D18A9856A87
last_name: Andersson
orcid: 0000-0003-2912-6769
- first_name: Kathrin
full_name: Tomasek, Kathrin
id: 3AEC8556-F248-11E8-B48F-1D18A9856A87
last_name: Tomasek
orcid: 0000-0003-3768-877X
- first_name: Enrique
full_name: Balleza, Enrique
last_name: Balleza
- first_name: Daniel
full_name: Kiviet, Daniel
last_name: Kiviet
- first_name: Robert
full_name: Hauschild, Robert
id: 4E01D6B4-F248-11E8-B48F-1D18A9856A87
last_name: Hauschild
orcid: 0000-0001-9843-3522
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Bergmiller T, Andersson AM, Tomasek K, et al. Biased partitioning of the multi-drug
efflux pump AcrAB-TolC underlies long-lived phenotypic heterogeneity. 2017. doi:10.15479/AT:ISTA:53
apa: Bergmiller, T., Andersson, A. M., Tomasek, K., Balleza, E., Kiviet, D., Hauschild,
R., … Guet, C. C. (2017). Biased partitioning of the multi-drug efflux pump AcrAB-TolC
underlies long-lived phenotypic heterogeneity. Institute of Science and Technology
Austria. https://doi.org/10.15479/AT:ISTA:53
chicago: Bergmiller, Tobias, Anna M Andersson, Kathrin Tomasek, Enrique Balleza,
Daniel Kiviet, Robert Hauschild, Gašper Tkačik, and Calin C Guet. “Biased Partitioning
of the Multi-Drug Efflux Pump AcrAB-TolC Underlies Long-Lived Phenotypic Heterogeneity.”
Institute of Science and Technology Austria, 2017. https://doi.org/10.15479/AT:ISTA:53.
ieee: T. Bergmiller et al., “Biased partitioning of the multi-drug efflux
pump AcrAB-TolC underlies long-lived phenotypic heterogeneity.” Institute of Science
and Technology Austria, 2017.
ista: Bergmiller T, Andersson AM, Tomasek K, Balleza E, Kiviet D, Hauschild R, Tkačik
G, Guet CC. 2017. Biased partitioning of the multi-drug efflux pump AcrAB-TolC
underlies long-lived phenotypic heterogeneity, Institute of Science and Technology
Austria, 10.15479/AT:ISTA:53.
mla: Bergmiller, Tobias, et al. Biased Partitioning of the Multi-Drug Efflux
Pump AcrAB-TolC Underlies Long-Lived Phenotypic Heterogeneity. Institute of
Science and Technology Austria, 2017, doi:10.15479/AT:ISTA:53.
short: T. Bergmiller, A.M. Andersson, K. Tomasek, E. Balleza, D. Kiviet, R. Hauschild,
G. Tkačik, C.C. Guet, (2017).
datarep_id: '53'
date_created: 2018-12-12T12:31:32Z
date_published: 2017-03-10T00:00:00Z
date_updated: 2024-02-21T13:49:00Z
day: '10'
ddc:
- '571'
department:
- _id: CaGu
- _id: GaTk
- _id: Bio
doi: 10.15479/AT:ISTA:53
file:
- access_level: open_access
checksum: d77859af757ac8025c50c7b12b52eaf3
content_type: application/zip
creator: system
date_created: 2018-12-12T13:02:38Z
date_updated: 2020-07-14T12:47:03Z
file_id: '5603'
file_name: IST-2017-53-v1+1_Data_MDE.zip
file_size: 6773204
relation: main_file
file_date_updated: 2020-07-14T12:47:03Z
has_accepted_license: '1'
keyword:
- single cell microscopy
- mother machine microfluidic device
- AcrAB-TolC pump
- multi-drug efflux
- Escherichia coli
month: '03'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '665'
relation: research_paper
status: public
status: public
title: Biased partitioning of the multi-drug efflux pump AcrAB-TolC underlies long-lived
phenotypic heterogeneity
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2017'
...
---
_id: '665'
abstract:
- lang: eng
text: The molecular mechanisms underlying phenotypic variation in isogenic bacterial
populations remain poorly understood.We report that AcrAB-TolC, the main multidrug
efflux pump of Escherichia coli, exhibits a strong partitioning bias for old cell
poles by a segregation mechanism that is mediated by ternary AcrAB-TolC complex
formation. Mother cells inheriting old poles are phenotypically distinct and display
increased drug efflux activity relative to daughters. Consequently, we find systematic
and long-lived growth differences between mother and daughter cells in the presence
of subinhibitory drug concentrations. A simple model for biased partitioning predicts
a population structure of long-lived and highly heterogeneous phenotypes. This
straightforward mechanism of generating sustained growth rate differences at subinhibitory
antibiotic concentrations has implications for understanding the emergence of
multidrug resistance in bacteria.
article_processing_charge: No
article_type: original
author:
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Anna M
full_name: Andersson, Anna M
id: 2B8A40DA-F248-11E8-B48F-1D18A9856A87
last_name: Andersson
orcid: 0000-0003-2912-6769
- first_name: Kathrin
full_name: Tomasek, Kathrin
id: 3AEC8556-F248-11E8-B48F-1D18A9856A87
last_name: Tomasek
orcid: 0000-0003-3768-877X
- first_name: Enrique
full_name: Balleza, Enrique
last_name: Balleza
- first_name: Daniel
full_name: Kiviet, Daniel
last_name: Kiviet
- first_name: Robert
full_name: Hauschild, Robert
id: 4E01D6B4-F248-11E8-B48F-1D18A9856A87
last_name: Hauschild
orcid: 0000-0001-9843-3522
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Bergmiller T, Andersson AM, Tomasek K, et al. Biased partitioning of the multidrug
efflux pump AcrAB TolC underlies long lived phenotypic heterogeneity. Science.
2017;356(6335):311-315. doi:10.1126/science.aaf4762
apa: Bergmiller, T., Andersson, A. M., Tomasek, K., Balleza, E., Kiviet, D., Hauschild,
R., … Guet, C. C. (2017). Biased partitioning of the multidrug efflux pump AcrAB
TolC underlies long lived phenotypic heterogeneity. Science. American Association
for the Advancement of Science. https://doi.org/10.1126/science.aaf4762
chicago: Bergmiller, Tobias, Anna M Andersson, Kathrin Tomasek, Enrique Balleza,
Daniel Kiviet, Robert Hauschild, Gašper Tkačik, and Calin C Guet. “Biased Partitioning
of the Multidrug Efflux Pump AcrAB TolC Underlies Long Lived Phenotypic Heterogeneity.”
Science. American Association for the Advancement of Science, 2017. https://doi.org/10.1126/science.aaf4762.
ieee: T. Bergmiller et al., “Biased partitioning of the multidrug efflux
pump AcrAB TolC underlies long lived phenotypic heterogeneity,” Science,
vol. 356, no. 6335. American Association for the Advancement of Science, pp. 311–315,
2017.
ista: Bergmiller T, Andersson AM, Tomasek K, Balleza E, Kiviet D, Hauschild R, Tkačik
G, Guet CC. 2017. Biased partitioning of the multidrug efflux pump AcrAB TolC
underlies long lived phenotypic heterogeneity. Science. 356(6335), 311–315.
mla: Bergmiller, Tobias, et al. “Biased Partitioning of the Multidrug Efflux Pump
AcrAB TolC Underlies Long Lived Phenotypic Heterogeneity.” Science, vol.
356, no. 6335, American Association for the Advancement of Science, 2017, pp.
311–15, doi:10.1126/science.aaf4762.
short: T. Bergmiller, A.M. Andersson, K. Tomasek, E. Balleza, D. Kiviet, R. Hauschild,
G. Tkačik, C.C. Guet, Science 356 (2017) 311–315.
date_created: 2018-12-11T11:47:48Z
date_published: 2017-04-21T00:00:00Z
date_updated: 2024-02-21T13:49:00Z
day: '21'
department:
- _id: CaGu
- _id: GaTk
- _id: Bio
doi: 10.1126/science.aaf4762
intvolume: ' 356'
issue: '6335'
language:
- iso: eng
month: '04'
oa_version: None
page: 311 - 315
project:
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication: Science
publication_identifier:
issn:
- '00368075'
publication_status: published
publisher: American Association for the Advancement of Science
publist_id: '7064'
quality_controlled: '1'
related_material:
record:
- id: '5560'
relation: popular_science
status: public
scopus_import: 1
status: public
title: Biased partitioning of the multidrug efflux pump AcrAB TolC underlies long
lived phenotypic heterogeneity
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 356
year: '2017'
...
---
_id: '1028'
abstract:
- lang: eng
text: Optogenetics and photopharmacology provide spatiotemporally precise control
over protein interactions and protein function in cells and animals. Optogenetic
methods that are sensitive to green light and can be used to break protein complexes
are not broadly available but would enable multichromatic experiments with previously
inaccessible biological targets. Herein, we repurposed cobalamin (vitamin B12)
binding domains of bacterial CarH transcription factors for green-light-induced
receptor dissociation. In cultured cells, we observed oligomerization-induced
cell signaling for the fibroblast growth factor receptor 1 fused to cobalamin-binding
domains in the dark that was rapidly eliminated upon illumination. In zebrafish
embryos expressing fusion receptors, green light endowed control over aberrant
fibroblast growth factor signaling during development. Green-light-induced domain
dissociation and light-inactivated receptors will critically expand the optogenetic
toolbox for control of biological processes.
acknowledgement: "This work was supported by a grant from the European Union\U0010FC1Ds
Seventh Framework Programme (CIG-303564). E.R. was supported by the graduate program
MolecularDrugTargets (Austrian Science Fund (FWF), W1232) and a FemTech fellowship
(Austrian Research Promotion Agency, 3580812)"
article_processing_charge: No
author:
- first_name: Stephanie
full_name: Kainrath, Stephanie
id: 32CFBA64-F248-11E8-B48F-1D18A9856A87
last_name: Kainrath
- first_name: Manuela
full_name: Stadler, Manuela
last_name: Stadler
- first_name: Eva
full_name: Gschaider-Reichhart, Eva
id: 3FEE232A-F248-11E8-B48F-1D18A9856A87
last_name: Gschaider-Reichhart
orcid: 0000-0002-7218-7738
- first_name: Martin
full_name: Distel, Martin
last_name: Distel
- first_name: Harald L
full_name: Janovjak, Harald L
id: 33BA6C30-F248-11E8-B48F-1D18A9856A87
last_name: Janovjak
orcid: 0000-0002-8023-9315
citation:
ama: Kainrath S, Stadler M, Gschaider-Reichhart E, Distel M, Janovjak HL. Green-light-induced
inactivation of receptor signaling using cobalamin-binding domains. Angewandte
Chemie - International Edition. 2017;56(16):4608-4611. doi:10.1002/anie.201611998
apa: Kainrath, S., Stadler, M., Gschaider-Reichhart, E., Distel, M., & Janovjak,
H. L. (2017). Green-light-induced inactivation of receptor signaling using cobalamin-binding
domains. Angewandte Chemie - International Edition. Wiley-Blackwell. https://doi.org/10.1002/anie.201611998
chicago: Kainrath, Stephanie, Manuela Stadler, Eva Gschaider-Reichhart, Martin Distel,
and Harald L Janovjak. “Green-Light-Induced Inactivation of Receptor Signaling
Using Cobalamin-Binding Domains.” Angewandte Chemie - International Edition.
Wiley-Blackwell, 2017. https://doi.org/10.1002/anie.201611998.
ieee: S. Kainrath, M. Stadler, E. Gschaider-Reichhart, M. Distel, and H. L. Janovjak,
“Green-light-induced inactivation of receptor signaling using cobalamin-binding
domains,” Angewandte Chemie - International Edition, vol. 56, no. 16. Wiley-Blackwell,
pp. 4608–4611, 2017.
ista: Kainrath S, Stadler M, Gschaider-Reichhart E, Distel M, Janovjak HL. 2017.
Green-light-induced inactivation of receptor signaling using cobalamin-binding
domains. Angewandte Chemie - International Edition. 56(16), 4608–4611.
mla: Kainrath, Stephanie, et al. “Green-Light-Induced Inactivation of Receptor Signaling
Using Cobalamin-Binding Domains.” Angewandte Chemie - International Edition,
vol. 56, no. 16, Wiley-Blackwell, 2017, pp. 4608–11, doi:10.1002/anie.201611998.
short: S. Kainrath, M. Stadler, E. Gschaider-Reichhart, M. Distel, H.L. Janovjak,
Angewandte Chemie - International Edition 56 (2017) 4608–4611.
date_created: 2018-12-11T11:49:46Z
date_published: 2017-03-20T00:00:00Z
date_updated: 2024-03-27T23:30:13Z
day: '20'
ddc:
- '540'
department:
- _id: CaGu
- _id: HaJa
doi: 10.1002/anie.201611998
ec_funded: 1
external_id:
isi:
- '000398154000038'
file:
- access_level: open_access
content_type: application/pdf
creator: dernst
date_created: 2019-01-18T09:39:55Z
date_updated: 2019-01-18T09:39:55Z
file_id: '5845'
file_name: 2017_communications_Kainrath.pdf
file_size: 2614942
relation: main_file
success: 1
file_date_updated: 2019-01-18T09:39:55Z
has_accepted_license: '1'
intvolume: ' 56'
isi: 1
issue: '16'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: 4608-4611
project:
- _id: 25548C20-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '303564'
name: Microbial Ion Channels for Synthetic Neurobiology
- _id: 26AA4EF2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: W1232-B24
name: Molecular Drug Targets [do not use to be deleted]
publication: Angewandte Chemie - International Edition
publication_identifier:
issn:
- '14337851'
publication_status: published
publisher: Wiley-Blackwell
publist_id: '6362'
quality_controlled: '1'
related_material:
record:
- id: '418'
relation: dissertation_contains
status: public
- id: '7680'
relation: part_of_dissertation
status: public
scopus_import: '1'
status: public
title: Green-light-induced inactivation of receptor signaling using cobalamin-binding
domains
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 56
year: '2017'
...
---
_id: '704'
abstract:
- lang: eng
text: 'How the organization of genes on a chromosome shapes adaptation is essential
for understanding evolutionary paths. Here, we investigate how adaptation to rapidly
increasing levels of antibiotic depends on the chromosomal neighborhood of a drug-resistance
gene inserted at different positions of the Escherichia coli chromosome. Using
a dual-fluorescence reporter that allows us to distinguish gene amplifications
from other up-mutations, we track in real-time adaptive changes in expression
of the drug-resistance gene. We find that the relative contribution of several
mutation types differs systematically between loci due to properties of neighboring
genes: essentiality, expression, orientation, termination, and presence of duplicates.
These properties determine rate and fitness effects of gene amplification, deletions,
and mutations compromising transcriptional termination. Thus, the adaptive potential
of a gene under selection is a system-property with a complex genetic basis that
is specific for each chromosomal locus, and it can be inferred from detailed functional
and genomic data.'
article_number: e25100
author:
- first_name: Magdalena
full_name: Steinrück, Magdalena
id: 2C023F40-F248-11E8-B48F-1D18A9856A87
last_name: Steinrück
orcid: 0000-0003-1229-9719
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Steinrück M, Guet CC. Complex chromosomal neighborhood effects determine the
adaptive potential of a gene under selection. eLife. 2017;6. doi:10.7554/eLife.25100
apa: Steinrück, M., & Guet, C. C. (2017). Complex chromosomal neighborhood effects
determine the adaptive potential of a gene under selection. ELife. eLife
Sciences Publications. https://doi.org/10.7554/eLife.25100
chicago: Steinrück, Magdalena, and Calin C Guet. “Complex Chromosomal Neighborhood
Effects Determine the Adaptive Potential of a Gene under Selection.” ELife.
eLife Sciences Publications, 2017. https://doi.org/10.7554/eLife.25100.
ieee: M. Steinrück and C. C. Guet, “Complex chromosomal neighborhood effects determine
the adaptive potential of a gene under selection,” eLife, vol. 6. eLife
Sciences Publications, 2017.
ista: Steinrück M, Guet CC. 2017. Complex chromosomal neighborhood effects determine
the adaptive potential of a gene under selection. eLife. 6, e25100.
mla: Steinrück, Magdalena, and Calin C. Guet. “Complex Chromosomal Neighborhood
Effects Determine the Adaptive Potential of a Gene under Selection.” ELife,
vol. 6, e25100, eLife Sciences Publications, 2017, doi:10.7554/eLife.25100.
short: M. Steinrück, C.C. Guet, ELife 6 (2017).
date_created: 2018-12-11T11:48:01Z
date_published: 2017-07-25T00:00:00Z
date_updated: 2024-03-27T23:30:27Z
day: '25'
ddc:
- '576'
department:
- _id: CaGu
doi: 10.7554/eLife.25100
file:
- access_level: open_access
checksum: 6b908b5db9f61f6820ebd7f8fa815571
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:54Z
date_updated: 2020-07-14T12:47:48Z
file_id: '4975'
file_name: IST-2017-890-v1+1_elife-25100-v1.pdf
file_size: 2092088
relation: main_file
- access_level: open_access
checksum: ca21530389b720243552678125fdba35
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:55Z
date_updated: 2020-07-14T12:47:48Z
file_id: '4976'
file_name: IST-2017-890-v1+2_elife-25100-figures-v1.pdf
file_size: 3428681
relation: main_file
file_date_updated: 2020-07-14T12:47:48Z
has_accepted_license: '1'
intvolume: ' 6'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
publication: eLife
publication_identifier:
issn:
- 2050084X
publication_status: published
publisher: eLife Sciences Publications
publist_id: '6990'
pubrep_id: '890'
quality_controlled: '1'
related_material:
record:
- id: '5564'
relation: popular_science
status: public
- id: '26'
relation: dissertation_contains
status: public
scopus_import: 1
status: public
title: Complex chromosomal neighborhood effects determine the adaptive potential of
a gene under selection
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 6
year: '2017'
...
---
_id: '696'
abstract:
- lang: eng
text: Mutator strains are expected to evolve when the availability and effect of
beneficial mutations are high enough to counteract the disadvantage from deleterious
mutations that will inevitably accumulate. As the population becomes more adapted
to its environment, both availability and effect of beneficial mutations necessarily
decrease and mutation rates are predicted to decrease. It has been shown that
certain molecular mechanisms can lead to increased mutation rates when the organism
finds itself in a stressful environment. While this may be a correlated response
to other functions, it could also be an adaptive mechanism, raising mutation rates
only when it is most advantageous. Here, we use a mathematical model to investigate
the plausibility of the adaptive hypothesis. We show that such a mechanism can
be mantained if the population is subjected to diverse stresses. By simulating
various antibiotic treatment schemes, we find that combination treatments can
reduce the effectiveness of second-order selection on stress-induced mutagenesis.
We discuss the implications of our results to strategies of antibiotic therapy.
article_number: e1005609
article_type: original
author:
- first_name: Marta
full_name: Lukacisinova, Marta
id: 4342E402-F248-11E8-B48F-1D18A9856A87
last_name: Lukacisinova
orcid: 0000-0002-2519-8004
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
orcid: 0000-0002-2519-824X
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
citation:
ama: 'Lukacisinova M, Novak S, Paixao T. Stress induced mutagenesis: Stress diversity
facilitates the persistence of mutator genes. PLoS Computational Biology.
2017;13(7). doi:10.1371/journal.pcbi.1005609'
apa: 'Lukacisinova, M., Novak, S., & Paixao, T. (2017). Stress induced mutagenesis:
Stress diversity facilitates the persistence of mutator genes. PLoS Computational
Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1005609'
chicago: 'Lukacisinova, Marta, Sebastian Novak, and Tiago Paixao. “Stress Induced
Mutagenesis: Stress Diversity Facilitates the Persistence of Mutator Genes.” PLoS
Computational Biology. Public Library of Science, 2017. https://doi.org/10.1371/journal.pcbi.1005609.'
ieee: 'M. Lukacisinova, S. Novak, and T. Paixao, “Stress induced mutagenesis: Stress
diversity facilitates the persistence of mutator genes,” PLoS Computational
Biology, vol. 13, no. 7. Public Library of Science, 2017.'
ista: 'Lukacisinova M, Novak S, Paixao T. 2017. Stress induced mutagenesis: Stress
diversity facilitates the persistence of mutator genes. PLoS Computational Biology.
13(7), e1005609.'
mla: 'Lukacisinova, Marta, et al. “Stress Induced Mutagenesis: Stress Diversity
Facilitates the Persistence of Mutator Genes.” PLoS Computational Biology,
vol. 13, no. 7, e1005609, Public Library of Science, 2017, doi:10.1371/journal.pcbi.1005609.'
short: M. Lukacisinova, S. Novak, T. Paixao, PLoS Computational Biology 13 (2017).
date_created: 2018-12-11T11:47:58Z
date_published: 2017-07-18T00:00:00Z
date_updated: 2024-03-27T23:30:28Z
day: '18'
ddc:
- '576'
department:
- _id: ToBo
- _id: NiBa
- _id: CaGu
doi: 10.1371/journal.pcbi.1005609
ec_funded: 1
file:
- access_level: open_access
checksum: 9143c290fa6458ed2563bff4b295554a
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:15:01Z
date_updated: 2020-07-14T12:47:46Z
file_id: '5117'
file_name: IST-2017-894-v1+1_journal.pcbi.1005609.pdf
file_size: 3775716
relation: main_file
file_date_updated: 2020-07-14T12:47:46Z
has_accepted_license: '1'
intvolume: ' 13'
issue: '7'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
publication: PLoS Computational Biology
publication_identifier:
issn:
- 1553734X
publication_status: published
publisher: Public Library of Science
publist_id: '7004'
pubrep_id: '894'
quality_controlled: '1'
related_material:
record:
- id: '9849'
relation: research_data
status: public
- id: '9850'
relation: research_data
status: public
- id: '9851'
relation: research_data
status: public
- id: '9852'
relation: research_data
status: public
- id: '6263'
relation: dissertation_contains
status: public
scopus_import: 1
status: public
title: 'Stress induced mutagenesis: Stress diversity facilitates the persistence of
mutator genes'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 13
year: '2017'
...
---
_id: '735'
abstract:
- lang: eng
text: Cell-cell contact formation constitutes an essential step in evolution, leading
to the differentiation of specialized cell types. However, remarkably little is
known about whether and how the interplay between contact formation and fate specification
affects development. Here, we identify a positive feedback loop between cell-cell
contact duration, morphogen signaling, and mesendoderm cell-fate specification
during zebrafish gastrulation. We show that long-lasting cell-cell contacts enhance
the competence of prechordal plate (ppl) progenitor cells to respond to Nodal
signaling, required for ppl cell-fate specification. We further show that Nodal
signaling promotes ppl cell-cell contact duration, generating a positive feedback
loop between ppl cell-cell contact duration and cell-fate specification. Finally,
by combining mathematical modeling and experimentation, we show that this feedback
determines whether anterior axial mesendoderm cells become ppl or, instead, turn
into endoderm. Thus, the interdependent activities of cell-cell signaling and
contact formation control fate diversification within the developing embryo.
article_processing_charge: No
author:
- first_name: Vanessa
full_name: Barone, Vanessa
id: 419EECCC-F248-11E8-B48F-1D18A9856A87
last_name: Barone
orcid: 0000-0003-2676-3367
- first_name: Moritz
full_name: Lang, Moritz
id: 29E0800A-F248-11E8-B48F-1D18A9856A87
last_name: Lang
- first_name: Gabriel
full_name: Krens, Gabriel
id: 2B819732-F248-11E8-B48F-1D18A9856A87
last_name: Krens
orcid: 0000-0003-4761-5996
- first_name: Saurabh
full_name: Pradhan, Saurabh
last_name: Pradhan
- first_name: Shayan
full_name: Shamipour, Shayan
id: 40B34FE2-F248-11E8-B48F-1D18A9856A87
last_name: Shamipour
- first_name: Keisuke
full_name: Sako, Keisuke
id: 3BED66BE-F248-11E8-B48F-1D18A9856A87
last_name: Sako
orcid: 0000-0002-6453-8075
- first_name: Mateusz K
full_name: Sikora, Mateusz K
id: 2F74BCDE-F248-11E8-B48F-1D18A9856A87
last_name: Sikora
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Carl-Philipp J
full_name: Heisenberg, Carl-Philipp J
id: 39427864-F248-11E8-B48F-1D18A9856A87
last_name: Heisenberg
orcid: 0000-0002-0912-4566
citation:
ama: Barone V, Lang M, Krens G, et al. An effective feedback loop between cell-cell
contact duration and morphogen signaling determines cell fate. Developmental
Cell. 2017;43(2):198-211. doi:10.1016/j.devcel.2017.09.014
apa: Barone, V., Lang, M., Krens, G., Pradhan, S., Shamipour, S., Sako, K., … Heisenberg,
C.-P. J. (2017). An effective feedback loop between cell-cell contact duration
and morphogen signaling determines cell fate. Developmental Cell. Cell
Press. https://doi.org/10.1016/j.devcel.2017.09.014
chicago: Barone, Vanessa, Moritz Lang, Gabriel Krens, Saurabh Pradhan, Shayan Shamipour,
Keisuke Sako, Mateusz K Sikora, Calin C Guet, and Carl-Philipp J Heisenberg. “An
Effective Feedback Loop between Cell-Cell Contact Duration and Morphogen Signaling
Determines Cell Fate.” Developmental Cell. Cell Press, 2017. https://doi.org/10.1016/j.devcel.2017.09.014.
ieee: V. Barone et al., “An effective feedback loop between cell-cell contact
duration and morphogen signaling determines cell fate,” Developmental Cell,
vol. 43, no. 2. Cell Press, pp. 198–211, 2017.
ista: Barone V, Lang M, Krens G, Pradhan S, Shamipour S, Sako K, Sikora MK, Guet
CC, Heisenberg C-PJ. 2017. An effective feedback loop between cell-cell contact
duration and morphogen signaling determines cell fate. Developmental Cell. 43(2),
198–211.
mla: Barone, Vanessa, et al. “An Effective Feedback Loop between Cell-Cell Contact
Duration and Morphogen Signaling Determines Cell Fate.” Developmental Cell,
vol. 43, no. 2, Cell Press, 2017, pp. 198–211, doi:10.1016/j.devcel.2017.09.014.
short: V. Barone, M. Lang, G. Krens, S. Pradhan, S. Shamipour, K. Sako, M.K. Sikora,
C.C. Guet, C.-P.J. Heisenberg, Developmental Cell 43 (2017) 198–211.
date_created: 2018-12-11T11:48:13Z
date_published: 2017-10-23T00:00:00Z
date_updated: 2024-03-27T23:30:38Z
day: '23'
department:
- _id: CaHe
- _id: CaGu
- _id: GaTk
doi: 10.1016/j.devcel.2017.09.014
ec_funded: 1
external_id:
isi:
- '000413443700011'
intvolume: ' 43'
isi: 1
issue: '2'
language:
- iso: eng
month: '10'
oa_version: None
page: 198 - 211
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 252DD2A6-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: I2058
name: 'Cell segregation in gastrulation: the role of cell fate specification'
publication: Developmental Cell
publication_identifier:
issn:
- '15345807'
publication_status: published
publisher: Cell Press
publist_id: '6934'
quality_controlled: '1'
related_material:
record:
- id: '961'
relation: dissertation_contains
status: public
- id: '8350'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: An effective feedback loop between cell-cell contact duration and morphogen
signaling determines cell fate
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 43
year: '2017'
...
---
_id: '1008'
abstract:
- lang: eng
text: Feedback loops in biological networks, among others, enable differentiation
and cell cycle progression, and increase robustness in signal transduction. In
natural networks, feedback loops are often complex and intertwined, making it
challenging to identify which loops are mainly responsible for an observed behavior.
However, minimal synthetic replicas could allow for such identification. Here,
we engineered a synthetic permease-inducer-repressor system in Saccharomyces cerevisiae
to analyze if a transport-mediated positive feedback loop could be a core mechanism
for the switch-like behavior in the regulation of metabolic gene networks such
as the S. cerevisiae GAL system or the Escherichia coli lac operon. We characterized
the synthetic circuit using deterministic and stochastic mathematical models.
Similar to its natural counterparts, our synthetic system shows bistable and hysteretic
behavior, and the inducer concentration range for bistability as well as the switching
rates between the two stable states depend on the repressor concentration. Our
results indicate that a generic permease–inducer–repressor circuit with a single
feedback loop is sufficient to explain the experimentally observed bistable behavior
of the natural systems. We anticipate that the approach of reimplementing natural
systems with orthogonal parts to identify crucial network components is applicable
to other natural systems such as signaling pathways.
acknowledgement: We thank Julio Polaina (Instituto de Agroqu ı ́ mica y Tecnolog ı
́ a de Alimentos, C.S.I.C., Paterna, Spain) for the gift of plasmid pMR4, Gregor
W. Schmidt for provision of and support with the micro fl uidic device, Markus Du
̈ rr for the cell tracking R script, and Lukas Widmer for the script for MEIGO using
“ parfor ” in MATLAB. We acknowledge the members of the Stelling group for discussions,
comments, and support.
author:
- first_name: Robert
full_name: Gnügge, Robert
last_name: Gnügge
- first_name: Lekshmi
full_name: Dharmarajan, Lekshmi
last_name: Dharmarajan
- first_name: Moritz
full_name: Lang, Moritz
id: 29E0800A-F248-11E8-B48F-1D18A9856A87
last_name: Lang
- first_name: Jörg
full_name: Stelling, Jörg
last_name: Stelling
citation:
ama: Gnügge R, Dharmarajan L, Lang M, Stelling J. An orthogonal permease–inducer–repressor
feedback loop shows bistability. ACS Synthetic Biology. 2016;5(10):1098-1107.
doi:10.1021/acssynbio.6b00013
apa: Gnügge, R., Dharmarajan, L., Lang, M., & Stelling, J. (2016). An orthogonal
permease–inducer–repressor feedback loop shows bistability. ACS Synthetic Biology.
American Chemical Society. https://doi.org/10.1021/acssynbio.6b00013
chicago: Gnügge, Robert, Lekshmi Dharmarajan, Moritz Lang, and Jörg Stelling. “An
Orthogonal Permease–Inducer–Repressor Feedback Loop Shows Bistability.” ACS
Synthetic Biology. American Chemical Society, 2016. https://doi.org/10.1021/acssynbio.6b00013.
ieee: R. Gnügge, L. Dharmarajan, M. Lang, and J. Stelling, “An orthogonal permease–inducer–repressor
feedback loop shows bistability,” ACS Synthetic Biology, vol. 5, no. 10.
American Chemical Society, pp. 1098–1107, 2016.
ista: Gnügge R, Dharmarajan L, Lang M, Stelling J. 2016. An orthogonal permease–inducer–repressor
feedback loop shows bistability. ACS Synthetic Biology. 5(10), 1098–1107.
mla: Gnügge, Robert, et al. “An Orthogonal Permease–Inducer–Repressor Feedback Loop
Shows Bistability.” ACS Synthetic Biology, vol. 5, no. 10, American Chemical
Society, 2016, pp. 1098–107, doi:10.1021/acssynbio.6b00013.
short: R. Gnügge, L. Dharmarajan, M. Lang, J. Stelling, ACS Synthetic Biology 5
(2016) 1098–1107.
date_created: 2018-12-11T11:49:40Z
date_published: 2016-05-05T00:00:00Z
date_updated: 2021-01-12T06:47:37Z
day: '05'
department:
- _id: CaGu
doi: 10.1021/acssynbio.6b00013
intvolume: ' 5'
issue: '10'
language:
- iso: eng
month: '05'
oa_version: None
page: 1098 - 1107
publication: ACS Synthetic Biology
publication_status: published
publisher: American Chemical Society
publist_id: '6390'
quality_controlled: '1'
status: public
title: An orthogonal permease–inducer–repressor feedback loop shows bistability
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 5
year: '2016'
...
---
_id: '1170'
abstract:
- lang: eng
text: The increasing complexity of dynamic models in systems and synthetic biology
poses computational challenges especially for the identification of model parameters.
While modularization of the corresponding optimization problems could help reduce
the “curse of dimensionality,” abundant feedback and crosstalk mechanisms prohibit
a simple decomposition of most biomolecular networks into subnetworks, or modules.
Drawing on ideas from network modularization and multiple-shooting optimization,
we present here a modular parameter identification approach that explicitly allows
for such interdependencies. Interfaces between our modules are given by the experimentally
measured molecular species. This definition allows deriving good (initial) estimates
for the inter-module communication directly from the experimental data. Given
these estimates, the states and parameter sensitivities of different modules can
be integrated independently. To achieve consistency between modules, we iteratively
adjust the estimates for inter-module communication while optimizing the parameters.
After convergence to an optimal parameter set---but not during earlier iterations---the
intermodule communication as well as the individual modules\' state dynamics agree
with the dynamics of the nonmodularized network. Our modular parameter identification
approach allows for easy parallelization; it can reduce the computational complexity
for larger networks and decrease the probability to converge to suboptimal local
minima. We demonstrate the algorithm\'s performance in parameter estimation for
two biomolecular networks, a synthetic genetic oscillator and a mammalian signaling
pathway.
author:
- first_name: Moritz
full_name: Lang, Moritz
id: 29E0800A-F248-11E8-B48F-1D18A9856A87
last_name: Lang
- first_name: Jörg
full_name: Stelling, Jörg
last_name: Stelling
citation:
ama: Lang M, Stelling J. Modular parameter identification of biomolecular networks.
SIAM Journal on Scientific Computing. 2016;38(6):B988-B1008. doi:10.1137/15M103306X
apa: Lang, M., & Stelling, J. (2016). Modular parameter identification of biomolecular
networks. SIAM Journal on Scientific Computing. Society for Industrial
and Applied Mathematics . https://doi.org/10.1137/15M103306X
chicago: Lang, Moritz, and Jörg Stelling. “Modular Parameter Identification of Biomolecular
Networks.” SIAM Journal on Scientific Computing. Society for Industrial
and Applied Mathematics , 2016. https://doi.org/10.1137/15M103306X.
ieee: M. Lang and J. Stelling, “Modular parameter identification of biomolecular
networks,” SIAM Journal on Scientific Computing, vol. 38, no. 6. Society
for Industrial and Applied Mathematics , pp. B988–B1008, 2016.
ista: Lang M, Stelling J. 2016. Modular parameter identification of biomolecular
networks. SIAM Journal on Scientific Computing. 38(6), B988–B1008.
mla: Lang, Moritz, and Jörg Stelling. “Modular Parameter Identification of Biomolecular
Networks.” SIAM Journal on Scientific Computing, vol. 38, no. 6, Society
for Industrial and Applied Mathematics , 2016, pp. B988–1008, doi:10.1137/15M103306X.
short: M. Lang, J. Stelling, SIAM Journal on Scientific Computing 38 (2016) B988–B1008.
date_created: 2018-12-11T11:50:31Z
date_published: 2016-11-15T00:00:00Z
date_updated: 2021-01-12T06:48:49Z
day: '15'
ddc:
- '003'
- '518'
- '570'
- '621'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1137/15M103306X
file:
- access_level: local
checksum: 781bc3ffd30b2dd65b7727c5a285fc78
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:41Z
date_updated: 2020-07-14T12:44:37Z
file_id: '5095'
file_name: IST-2017-811-v1+1_modular_parameter_identification.pdf
file_size: 871964
relation: main_file
file_date_updated: 2020-07-14T12:44:37Z
has_accepted_license: '1'
intvolume: ' 38'
issue: '6'
language:
- iso: eng
month: '11'
oa_version: Submitted Version
page: B988 - B1008
publication: SIAM Journal on Scientific Computing
publication_status: published
publisher: 'Society for Industrial and Applied Mathematics '
publist_id: '6186'
pubrep_id: '811'
quality_controlled: '1'
scopus_import: 1
status: public
title: Modular parameter identification of biomolecular networks
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 38
year: '2016'
...
---
_id: '1220'
abstract:
- lang: eng
text: Theoretical and numerical aspects of aerodynamic efficiency of propulsion
systems coupled to the boundary layer of a fuselage are studied. We discuss the
effects of local flow fields, which are affected both by conservative flow acceleration
as well as total pressure losses, on the efficiency of boundary layer immersed
propulsion devices. We introduce the concept of a boundary layer retardation turbine
that helps reduce skin friction over the fuselage. We numerically investigate
efficiency gains offered by boundary layer and wake interacting devices. We discuss
the results in terms of a total energy consumption framework and show that efficiency
gains of any device depend on all the other elements of the propulsion system.
author:
- first_name: Gregor
full_name: Mikić, Gregor
last_name: Mikić
- first_name: Alex
full_name: Stoll, Alex
last_name: Stoll
- first_name: Joe
full_name: Bevirt, Joe
last_name: Bevirt
- first_name: Rok
full_name: Grah, Rok
id: 483E70DE-F248-11E8-B48F-1D18A9856A87
last_name: Grah
orcid: 0000-0003-2539-3560
- first_name: Mark
full_name: Moore, Mark
last_name: Moore
citation:
ama: 'Mikić G, Stoll A, Bevirt J, Grah R, Moore M. Fuselage boundary layer ingestion
propulsion applied to a thin haul commuter aircraft for optimal efficiency. In:
AIAA; 2016:1-19. doi:10.2514/6.2016-3764'
apa: 'Mikić, G., Stoll, A., Bevirt, J., Grah, R., & Moore, M. (2016). Fuselage
boundary layer ingestion propulsion applied to a thin haul commuter aircraft for
optimal efficiency (pp. 1–19). Presented at the AIAA: Aviation Technology, Integration,
and Operations Conference, Washington, D.C., USA: AIAA. https://doi.org/10.2514/6.2016-3764'
chicago: Mikić, Gregor, Alex Stoll, Joe Bevirt, Rok Grah, and Mark Moore. “Fuselage
Boundary Layer Ingestion Propulsion Applied to a Thin Haul Commuter Aircraft for
Optimal Efficiency,” 1–19. AIAA, 2016. https://doi.org/10.2514/6.2016-3764.
ieee: 'G. Mikić, A. Stoll, J. Bevirt, R. Grah, and M. Moore, “Fuselage boundary
layer ingestion propulsion applied to a thin haul commuter aircraft for optimal
efficiency,” presented at the AIAA: Aviation Technology, Integration, and Operations
Conference, Washington, D.C., USA, 2016, pp. 1–19.'
ista: 'Mikić G, Stoll A, Bevirt J, Grah R, Moore M. 2016. Fuselage boundary layer
ingestion propulsion applied to a thin haul commuter aircraft for optimal efficiency.
AIAA: Aviation Technology, Integration, and Operations Conference, 1–19.'
mla: Mikić, Gregor, et al. Fuselage Boundary Layer Ingestion Propulsion Applied
to a Thin Haul Commuter Aircraft for Optimal Efficiency. AIAA, 2016, pp. 1–19,
doi:10.2514/6.2016-3764.
short: G. Mikić, A. Stoll, J. Bevirt, R. Grah, M. Moore, in:, AIAA, 2016, pp. 1–19.
conference:
end_date: 2016-06-17
location: Washington, D.C., USA
name: 'AIAA: Aviation Technology, Integration, and Operations Conference'
start_date: 2016-06-13
date_created: 2018-12-11T11:50:47Z
date_published: 2016-06-01T00:00:00Z
date_updated: 2023-02-21T10:17:50Z
day: '01'
department:
- _id: CaGu
- _id: GaTk
doi: 10.2514/6.2016-3764
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://ntrs.nasa.gov/search.jsp?R=20160010167&hterms=Fuselage+boundary+layer+ingestion+propulsion+applied+thin+haul+commuter+aircraft+optimal+efficiency&qs=N%3D0%26Ntk%3DAll%26Ntt%3DFuselage%2520boundary%2520layer%2520ingestion%2520propulsion%2520applied%2520to%2520a%2520thin%2520haul%2520commuter%2520aircraft%2520for%2520optimal%2520efficiency%26Ntx%3Dmode%2520matchallpartial%26Nm%3D123%7CCollection%7CNASA%2520STI%7C%7C17%7CCollection%7CNACA
month: '06'
oa: 1
oa_version: Preprint
page: 1 - 19
publication_status: published
publisher: AIAA
publist_id: '6114'
quality_controlled: '1'
scopus_import: 1
status: public
title: Fuselage boundary layer ingestion propulsion applied to a thin haul commuter
aircraft for optimal efficiency
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
year: '2016'
...
---
_id: '1290'
abstract:
- lang: eng
text: We developed a competition-based screening strategy to identify compounds
that invert the selective advantage of antibiotic resistance. Using our assay,
we screened over 19,000 compounds for the ability to select against the TetA tetracycline-resistance
efflux pump in Escherichia coli and identified two hits, β-thujaplicin and disulfiram.
Treating a tetracycline-resistant population with β-thujaplicin selects for loss
of the resistance gene, enabling an effective second-phase treatment with doxycycline.
acknowledgement: "This work was supported in part by National Institute of Allergy
and Infectious Diseases grant U54 AI057159, US National Institutes of Health grants
R01 GM081617 (to R.K.) and GM086258 (to J.C.), European Research Council FP7 ERC
grant 281891 (to R.K.) and a National Science Foundation Graduate Fellowship (to
L.K.S.).\r\n"
author:
- first_name: Laura
full_name: Stone, Laura
last_name: Stone
- first_name: Michael
full_name: Baym, Michael
last_name: Baym
- first_name: Tami
full_name: Lieberman, Tami
last_name: Lieberman
- first_name: Remy P
full_name: Chait, Remy P
id: 3464AE84-F248-11E8-B48F-1D18A9856A87
last_name: Chait
orcid: 0000-0003-0876-3187
- first_name: Jon
full_name: Clardy, Jon
last_name: Clardy
- first_name: Roy
full_name: Kishony, Roy
last_name: Kishony
citation:
ama: Stone L, Baym M, Lieberman T, Chait RP, Clardy J, Kishony R. Compounds that
select against the tetracycline-resistance efflux pump. Nature Chemical Biology.
2016;12(11):902-904. doi:10.1038/nchembio.2176
apa: Stone, L., Baym, M., Lieberman, T., Chait, R. P., Clardy, J., & Kishony,
R. (2016). Compounds that select against the tetracycline-resistance efflux pump.
Nature Chemical Biology. Nature Publishing Group. https://doi.org/10.1038/nchembio.2176
chicago: Stone, Laura, Michael Baym, Tami Lieberman, Remy P Chait, Jon Clardy, and
Roy Kishony. “Compounds That Select against the Tetracycline-Resistance Efflux
Pump.” Nature Chemical Biology. Nature Publishing Group, 2016. https://doi.org/10.1038/nchembio.2176.
ieee: L. Stone, M. Baym, T. Lieberman, R. P. Chait, J. Clardy, and R. Kishony, “Compounds
that select against the tetracycline-resistance efflux pump,” Nature Chemical
Biology, vol. 12, no. 11. Nature Publishing Group, pp. 902–904, 2016.
ista: Stone L, Baym M, Lieberman T, Chait RP, Clardy J, Kishony R. 2016. Compounds
that select against the tetracycline-resistance efflux pump. Nature Chemical Biology.
12(11), 902–904.
mla: Stone, Laura, et al. “Compounds That Select against the Tetracycline-Resistance
Efflux Pump.” Nature Chemical Biology, vol. 12, no. 11, Nature Publishing
Group, 2016, pp. 902–04, doi:10.1038/nchembio.2176.
short: L. Stone, M. Baym, T. Lieberman, R.P. Chait, J. Clardy, R. Kishony, Nature
Chemical Biology 12 (2016) 902–904.
date_created: 2018-12-11T11:51:10Z
date_published: 2016-11-01T00:00:00Z
date_updated: 2021-01-12T06:49:39Z
day: '01'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1038/nchembio.2176
intvolume: ' 12'
issue: '11'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069154/
month: '11'
oa: 1
oa_version: Preprint
page: 902 - 904
publication: Nature Chemical Biology
publication_status: published
publisher: Nature Publishing Group
publist_id: '6026'
quality_controlled: '1'
scopus_import: 1
status: public
title: Compounds that select against the tetracycline-resistance efflux pump
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 12
year: '2016'
...
---
_id: '1320'
abstract:
- lang: eng
text: 'In recent years, several biomolecular systems have been shown to be scale-invariant
(SI), i.e. to show the same output dynamics when exposed to geometrically scaled
input signals (u → pu, p > 0) after pre-adaptation to accordingly scaled constant
inputs. In this article, we show that SI systems-as well as systems invariant
with respect to other input transformations-can realize nonlinear differential
operators: when excited by inputs obeying functional forms characteristic for
a given class of invariant systems, the systems'' outputs converge to constant
values directly quantifying the speed of the input.'
acknowledgement: The research leading to these results has received funding from the
People Programme (Marie Curie Actions) of the European Union's Seventh Framework
Programme (FP7/2007-2013) under REA grant agreement n° [291734]. Work supported
in part by grants AFOSR FA9550-14-1-0060 and NIH 1R01GM100473.
article_number: '7526722'
author:
- first_name: Moritz
full_name: Lang, Moritz
id: 29E0800A-F248-11E8-B48F-1D18A9856A87
last_name: Lang
- first_name: Eduardo
full_name: Sontag, Eduardo
last_name: Sontag
citation:
ama: 'Lang M, Sontag E. Scale-invariant systems realize nonlinear differential operators.
In: Vol 2016-July. IEEE; 2016. doi:10.1109/ACC.2016.7526722'
apa: 'Lang, M., & Sontag, E. (2016). Scale-invariant systems realize nonlinear
differential operators (Vol. 2016–July). Presented at the ACC: American Control
Conference, Boston, MA, USA: IEEE. https://doi.org/10.1109/ACC.2016.7526722'
chicago: Lang, Moritz, and Eduardo Sontag. “Scale-Invariant Systems Realize Nonlinear
Differential Operators,” Vol. 2016–July. IEEE, 2016. https://doi.org/10.1109/ACC.2016.7526722.
ieee: 'M. Lang and E. Sontag, “Scale-invariant systems realize nonlinear differential
operators,” presented at the ACC: American Control Conference, Boston, MA, USA,
2016, vol. 2016–July.'
ista: 'Lang M, Sontag E. 2016. Scale-invariant systems realize nonlinear differential
operators. ACC: American Control Conference vol. 2016–July, 7526722.'
mla: Lang, Moritz, and Eduardo Sontag. Scale-Invariant Systems Realize Nonlinear
Differential Operators. Vol. 2016–July, 7526722, IEEE, 2016, doi:10.1109/ACC.2016.7526722.
short: M. Lang, E. Sontag, in:, IEEE, 2016.
conference:
end_date: 2016-07-08
location: Boston, MA, USA
name: 'ACC: American Control Conference'
start_date: 2016-07-06
date_created: 2018-12-11T11:51:21Z
date_published: 2016-07-28T00:00:00Z
date_updated: 2021-01-12T06:49:51Z
day: '28'
ddc:
- '003'
- '621'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1109/ACC.2016.7526722
ec_funded: 1
file:
- access_level: local
checksum: 7219432b43defc62a0d45f48d4ce6a19
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:16:17Z
date_updated: 2020-07-14T12:44:43Z
file_id: '5203'
file_name: IST-2017-810-v1+1_root.pdf
file_size: 539166
relation: main_file
file_date_updated: 2020-07-14T12:44:43Z
has_accepted_license: '1'
language:
- iso: eng
month: '07'
oa_version: Preprint
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication_status: published
publisher: IEEE
publist_id: '5950'
pubrep_id: '810'
quality_controlled: '1'
scopus_import: 1
status: public
title: Scale-invariant systems realize nonlinear differential operators
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 2016-July
year: '2016'
...
---
_id: '1332'
abstract:
- lang: eng
text: Antibiotic-sensitive and -resistant bacteria coexist in natural environments
with low, if detectable, antibiotic concentrations. Except possibly around localized
antibiotic sources, where resistance can provide a strong advantage, bacterial
fitness is dominated by stresses unaffected by resistance to the antibiotic. How
do such mixed and heterogeneous conditions influence the selective advantage or
disadvantage of antibiotic resistance? Here we find that sub-inhibitory levels
of tetracyclines potentiate selection for or against tetracycline resistance around
localized sources of almost any toxin or stress. Furthermore, certain stresses
generate alternating rings of selection for and against resistance around a localized
source of the antibiotic. In these conditions, localized antibiotic sources, even
at high strengths, can actually produce a net selection against resistance to
the antibiotic. Our results show that interactions between the effects of an antibiotic
and other stresses in inhomogeneous environments can generate pervasive, complex
patterns of selection both for and against antibiotic resistance.
acknowledgement: This work was partially supported by US National Institutes of Health
grant R01-GM081617, Israeli Centers of Research Excellence I-CORE Program ISF Grant
No. 152/11, and the European Research Council FP7 ERC Grant 281891.
article_number: '10333'
author:
- first_name: Remy P
full_name: Chait, Remy P
id: 3464AE84-F248-11E8-B48F-1D18A9856A87
last_name: Chait
orcid: 0000-0003-0876-3187
- first_name: Adam
full_name: Palmer, Adam
last_name: Palmer
- first_name: Idan
full_name: Yelin, Idan
last_name: Yelin
- first_name: Roy
full_name: Kishony, Roy
last_name: Kishony
citation:
ama: Chait RP, Palmer A, Yelin I, Kishony R. Pervasive selection for and against
antibiotic resistance in inhomogeneous multistress environments. Nature Communications.
2016;7. doi:10.1038/ncomms10333
apa: Chait, R. P., Palmer, A., Yelin, I., & Kishony, R. (2016). Pervasive selection
for and against antibiotic resistance in inhomogeneous multistress environments.
Nature Communications. Nature Publishing Group. https://doi.org/10.1038/ncomms10333
chicago: Chait, Remy P, Adam Palmer, Idan Yelin, and Roy Kishony. “Pervasive Selection
for and against Antibiotic Resistance in Inhomogeneous Multistress Environments.”
Nature Communications. Nature Publishing Group, 2016. https://doi.org/10.1038/ncomms10333.
ieee: R. P. Chait, A. Palmer, I. Yelin, and R. Kishony, “Pervasive selection for
and against antibiotic resistance in inhomogeneous multistress environments,”
Nature Communications, vol. 7. Nature Publishing Group, 2016.
ista: Chait RP, Palmer A, Yelin I, Kishony R. 2016. Pervasive selection for and
against antibiotic resistance in inhomogeneous multistress environments. Nature
Communications. 7, 10333.
mla: Chait, Remy P., et al. “Pervasive Selection for and against Antibiotic Resistance
in Inhomogeneous Multistress Environments.” Nature Communications, vol.
7, 10333, Nature Publishing Group, 2016, doi:10.1038/ncomms10333.
short: R.P. Chait, A. Palmer, I. Yelin, R. Kishony, Nature Communications 7 (2016).
date_created: 2018-12-11T11:51:25Z
date_published: 2016-01-20T00:00:00Z
date_updated: 2021-01-12T06:49:57Z
day: '20'
ddc:
- '570'
- '579'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1038/ncomms10333
file:
- access_level: open_access
checksum: ef147bcbb8bd37e9079cf3ce06f5815d
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:13:52Z
date_updated: 2020-07-14T12:44:44Z
file_id: '5039'
file_name: IST-2016-662-v1+1_ncomms10333.pdf
file_size: 1844107
relation: main_file
file_date_updated: 2020-07-14T12:44:44Z
has_accepted_license: '1'
intvolume: ' 7'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
publication: Nature Communications
publication_status: published
publisher: Nature Publishing Group
publist_id: '5936'
pubrep_id: '662'
quality_controlled: '1'
scopus_import: 1
status: public
title: Pervasive selection for and against antibiotic resistance in inhomogeneous
multistress environments
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 7
year: '2016'
...
---
_id: '1342'
abstract:
- lang: eng
text: A key aspect of bacterial survival is the ability to evolve while migrating
across spatially varying environmental challenges. Laboratory experiments, however,
often study evolution in well-mixed systems. Here, we introduce an experimental
device, the microbial evolution and growth arena (MEGA)-plate, in which bacteria
spread and evolved on a large antibiotic landscape (120 × 60 centimeters) that
allowed visual observation of mutation and selection in a migrating bacterial
front.While resistance increased consistently, multiple coexisting lineages diversified
both phenotypically and genotypically. Analyzing mutants at and behind the propagating
front,we found that evolution is not always led by the most resistant mutants;
highly resistant mutants may be trapped behindmore sensitive lineages.TheMEGA-plate
provides a versatile platformfor studying microbial adaption and directly visualizing
evolutionary dynamics.
author:
- first_name: Michael
full_name: Baym, Michael
last_name: Baym
- first_name: Tami
full_name: Lieberman, Tami
last_name: Lieberman
- first_name: Eric
full_name: Kelsic, Eric
last_name: Kelsic
- first_name: Remy P
full_name: Chait, Remy P
id: 3464AE84-F248-11E8-B48F-1D18A9856A87
last_name: Chait
orcid: 0000-0003-0876-3187
- first_name: Rotem
full_name: Gross, Rotem
last_name: Gross
- first_name: Idan
full_name: Yelin, Idan
last_name: Yelin
- first_name: Roy
full_name: Kishony, Roy
last_name: Kishony
citation:
ama: Baym M, Lieberman T, Kelsic E, et al. Spatiotemporal microbial evolution on
antibiotic landscapes. Science. 2016;353(6304):1147-1151. doi:10.1126/science.aag0822
apa: Baym, M., Lieberman, T., Kelsic, E., Chait, R. P., Gross, R., Yelin, I., &
Kishony, R. (2016). Spatiotemporal microbial evolution on antibiotic landscapes.
Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.aag0822
chicago: Baym, Michael, Tami Lieberman, Eric Kelsic, Remy P Chait, Rotem Gross,
Idan Yelin, and Roy Kishony. “Spatiotemporal Microbial Evolution on Antibiotic
Landscapes.” Science. American Association for the Advancement of Science,
2016. https://doi.org/10.1126/science.aag0822.
ieee: M. Baym et al., “Spatiotemporal microbial evolution on antibiotic landscapes,”
Science, vol. 353, no. 6304. American Association for the Advancement of
Science, pp. 1147–1151, 2016.
ista: Baym M, Lieberman T, Kelsic E, Chait RP, Gross R, Yelin I, Kishony R. 2016.
Spatiotemporal microbial evolution on antibiotic landscapes. Science. 353(6304),
1147–1151.
mla: Baym, Michael, et al. “Spatiotemporal Microbial Evolution on Antibiotic Landscapes.”
Science, vol. 353, no. 6304, American Association for the Advancement of
Science, 2016, pp. 1147–51, doi:10.1126/science.aag0822.
short: M. Baym, T. Lieberman, E. Kelsic, R.P. Chait, R. Gross, I. Yelin, R. Kishony,
Science 353 (2016) 1147–1151.
date_created: 2018-12-11T11:51:29Z
date_published: 2016-09-09T00:00:00Z
date_updated: 2021-01-12T06:50:01Z
day: '09'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1126/science.aag0822
intvolume: ' 353'
issue: '6304'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5534434/
month: '09'
oa: 1
oa_version: Preprint
page: 1147 - 1151
publication: Science
publication_status: published
publisher: American Association for the Advancement of Science
publist_id: '5911'
quality_controlled: '1'
scopus_import: 1
status: public
title: Spatiotemporal microbial evolution on antibiotic landscapes
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 353
year: '2016'
...
---
_id: '1349'
abstract:
- lang: eng
text: Crossing fitness valleys is one of the major obstacles to function optimization.
In this paper we investigate how the structure of the fitness valley, namely its
depth d and length ℓ, influence the runtime of different strategies for crossing
these valleys. We present a runtime comparison between the (1+1) EA and two non-elitist
nature-inspired algorithms, Strong Selection Weak Mutation (SSWM) and the Metropolis
algorithm. While the (1+1) EA has to jump across the valley to a point of higher
fitness because it does not accept decreasing moves, the non-elitist algorithms
may cross the valley by accepting worsening moves. We show that while the runtime
of the (1+1) EA algorithm depends critically on the length of the valley, the
runtimes of the non-elitist algorithms depend crucially only on the depth of the
valley. In particular, the expected runtime of both SSWM and Metropolis is polynomial
in ℓ and exponential in d while the (1+1) EA is efficient only for valleys of
small length. Moreover, we show that both SSWM and Metropolis can also efficiently
optimize a rugged function consisting of consecutive valleys.
author:
- first_name: Pietro
full_name: Oliveto, Pietro
last_name: Oliveto
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Jorge
full_name: Heredia, Jorge
last_name: Heredia
- first_name: Dirk
full_name: Sudholt, Dirk
last_name: Sudholt
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
citation:
ama: 'Oliveto P, Paixao T, Heredia J, Sudholt D, Trubenova B. When non-elitism outperforms
elitism for crossing fitness valleys. In: Proceedings of the Genetic and Evolutionary
Computation Conference 2016 . ACM; 2016:1163-1170. doi:10.1145/2908812.2908909'
apa: 'Oliveto, P., Paixao, T., Heredia, J., Sudholt, D., & Trubenova, B. (2016).
When non-elitism outperforms elitism for crossing fitness valleys. In Proceedings
of the Genetic and Evolutionary Computation Conference 2016 (pp. 1163–1170).
Denver, CO, USA: ACM. https://doi.org/10.1145/2908812.2908909'
chicago: Oliveto, Pietro, Tiago Paixao, Jorge Heredia, Dirk Sudholt, and Barbora
Trubenova. “When Non-Elitism Outperforms Elitism for Crossing Fitness Valleys.”
In Proceedings of the Genetic and Evolutionary Computation Conference 2016
, 1163–70. ACM, 2016. https://doi.org/10.1145/2908812.2908909.
ieee: P. Oliveto, T. Paixao, J. Heredia, D. Sudholt, and B. Trubenova, “When non-elitism
outperforms elitism for crossing fitness valleys,” in Proceedings of the Genetic
and Evolutionary Computation Conference 2016 , Denver, CO, USA, 2016, pp.
1163–1170.
ista: 'Oliveto P, Paixao T, Heredia J, Sudholt D, Trubenova B. 2016. When non-elitism
outperforms elitism for crossing fitness valleys. Proceedings of the Genetic and
Evolutionary Computation Conference 2016 . GECCO: Genetic and evolutionary computation
conference, 1163–1170.'
mla: Oliveto, Pietro, et al. “When Non-Elitism Outperforms Elitism for Crossing
Fitness Valleys.” Proceedings of the Genetic and Evolutionary Computation Conference
2016 , ACM, 2016, pp. 1163–70, doi:10.1145/2908812.2908909.
short: P. Oliveto, T. Paixao, J. Heredia, D. Sudholt, B. Trubenova, in:, Proceedings
of the Genetic and Evolutionary Computation Conference 2016 , ACM, 2016, pp. 1163–1170.
conference:
end_date: 2016-07-24
location: Denver, CO, USA
name: 'GECCO: Genetic and evolutionary computation conference'
start_date: 2016-07-20
date_created: 2018-12-11T11:51:31Z
date_published: 2016-07-20T00:00:00Z
date_updated: 2021-01-12T06:50:03Z
day: '20'
ddc:
- '576'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1145/2908812.2908909
ec_funded: 1
file:
- access_level: open_access
checksum: a1896e39e4113f2711e46b435d5f3e69
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:16:27Z
date_updated: 2020-07-14T12:44:45Z
file_id: '5214'
file_name: IST-2016-650-v1+1_p1163-oliveto.pdf
file_size: 979026
relation: main_file
file_date_updated: 2020-07-14T12:44:45Z
has_accepted_license: '1'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Published Version
page: 1163 - 1170
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
publication: 'Proceedings of the Genetic and Evolutionary Computation Conference 2016 '
publication_status: published
publisher: ACM
publist_id: '5900'
pubrep_id: '650'
quality_controlled: '1'
scopus_import: 1
status: public
title: When non-elitism outperforms elitism for crossing fitness valleys
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
year: '2016'
...
---
_id: '1359'
abstract:
- lang: eng
text: "The role of gene interactions in the evolutionary process has long\r\nbeen
controversial. Although some argue that they are not of\r\nimportance, because
most variation is additive, others claim that\r\ntheir effect in the long term
can be substantial. Here, we focus on\r\nthe long-term effects of genetic interactions
under directional\r\nselection assuming no mutation or dominance, and that epistasis
is\r\nsymmetrical overall. We ask by how much the mean of a complex\r\ntrait can
be increased by selection and analyze two extreme\r\nregimes, in which either
drift or selection dominate the dynamics\r\nof allele frequencies. In both scenarios,
epistatic interactions affect\r\nthe long-term response to selection by modulating
the additive\r\ngenetic variance. When drift dominates, we extend Robertson\r\n’\r\ns\r\n[Robertson
A (1960)\r\nProc R Soc Lond B Biol Sci\r\n153(951):234\r\n−\r\n249]\r\nargument
to show that, for any form of epistasis, the total response\r\nof a haploid population
is proportional to the initial total genotypic\r\nvariance. In contrast, the total
response of a diploid population is\r\nincreased by epistasis, for a given initial
genotypic variance. When\r\nselection dominates, we show that the total selection
response can\r\nonly be increased by epistasis when s\r\nome initially deleterious
alleles\r\nbecome favored as the genetic background changes. We find a sim-\r\nple
approximation for this effect and show that, in this regime, it is\r\nthe structure
of the genotype - phenotype map that matters and not\r\nthe variance components
of the population."
article_processing_charge: No
article_type: original
author:
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Paixao T, Barton NH. The effect of gene interactions on the long-term response
to selection. PNAS. 2016;113(16):4422-4427. doi:10.1073/pnas.1518830113
apa: Paixao, T., & Barton, N. H. (2016). The effect of gene interactions on
the long-term response to selection. PNAS. National Academy of Sciences.
https://doi.org/10.1073/pnas.1518830113
chicago: Paixao, Tiago, and Nicholas H Barton. “The Effect of Gene Interactions
on the Long-Term Response to Selection.” PNAS. National Academy of Sciences,
2016. https://doi.org/10.1073/pnas.1518830113.
ieee: T. Paixao and N. H. Barton, “The effect of gene interactions on the long-term
response to selection,” PNAS, vol. 113, no. 16. National Academy of Sciences,
pp. 4422–4427, 2016.
ista: Paixao T, Barton NH. 2016. The effect of gene interactions on the long-term
response to selection. PNAS. 113(16), 4422–4427.
mla: Paixao, Tiago, and Nicholas H. Barton. “The Effect of Gene Interactions on
the Long-Term Response to Selection.” PNAS, vol. 113, no. 16, National
Academy of Sciences, 2016, pp. 4422–27, doi:10.1073/pnas.1518830113.
short: T. Paixao, N.H. Barton, PNAS 113 (2016) 4422–4427.
date_created: 2018-12-11T11:51:34Z
date_published: 2016-04-19T00:00:00Z
date_updated: 2021-01-12T06:50:08Z
day: '19'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1073/pnas.1518830113
ec_funded: 1
external_id:
pmid:
- '27044080'
intvolume: ' 113'
issue: '16'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4843425/
month: '04'
oa: 1
oa_version: Published Version
page: 4422 - 4427
pmid: 1
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
publication: PNAS
publication_status: published
publisher: National Academy of Sciences
publist_id: '5886'
quality_controlled: '1'
scopus_import: 1
status: public
title: The effect of gene interactions on the long-term response to selection
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 113
year: '2016'
...
---
_id: '1427'
abstract:
- lang: eng
text: Changes in gene expression are an important mode of evolution; however, the
proximate mechanism of these changes is poorly understood. In particular, little
is known about the effects of mutations within cis binding sites for transcription
factors, or the nature of epistatic interactions between these mutations. Here,
we tested the effects of single and double mutants in two cis binding sites involved
in the transcriptional regulation of the Escherichia coli araBAD operon, a component
of arabinose metabolism, using a synthetic system. This system decouples transcriptional
control from any posttranslational effects on fitness, allowing a precise estimate
of the effect of single and double mutations, and hence epistasis, on gene expression.
We found that epistatic interactions between mutations in the araBAD cis-regulatory
element are common, and that the predominant form of epistasis is negative. The
magnitude of the interactions depended on whether the mutations are located in
the same or in different operator sites. Importantly, these epistatic interactions
were dependent on the presence of arabinose, a native inducer of the araBAD operon
in vivo, with some interactions changing in sign (e.g., from negative to positive)
in its presence. This study thus reveals that mutations in even relatively simple
cis-regulatory elements interact in complex ways such that selection on the level
of gene expression in one environment might perturb regulation in the other environment
in an unpredictable and uncorrelated manner.
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Claudia
full_name: Igler, Claudia
id: 46613666-F248-11E8-B48F-1D18A9856A87
last_name: Igler
- first_name: Anaisa
full_name: Moreno, Anaisa
last_name: Moreno
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
citation:
ama: Lagator M, Igler C, Moreno A, Guet CC, Bollback JP. Epistatic interactions
in the arabinose cis-regulatory element. Molecular Biology and Evolution.
2016;33(3):761-769. doi:10.1093/molbev/msv269
apa: Lagator, M., Igler, C., Moreno, A., Guet, C. C., & Bollback, J. P. (2016).
Epistatic interactions in the arabinose cis-regulatory element. Molecular Biology
and Evolution. Oxford University Press. https://doi.org/10.1093/molbev/msv269
chicago: Lagator, Mato, Claudia Igler, Anaisa Moreno, Calin C Guet, and Jonathan
P Bollback. “Epistatic Interactions in the Arabinose Cis-Regulatory Element.”
Molecular Biology and Evolution. Oxford University Press, 2016. https://doi.org/10.1093/molbev/msv269.
ieee: M. Lagator, C. Igler, A. Moreno, C. C. Guet, and J. P. Bollback, “Epistatic
interactions in the arabinose cis-regulatory element,” Molecular Biology and
Evolution, vol. 33, no. 3. Oxford University Press, pp. 761–769, 2016.
ista: Lagator M, Igler C, Moreno A, Guet CC, Bollback JP. 2016. Epistatic interactions
in the arabinose cis-regulatory element. Molecular Biology and Evolution. 33(3),
761–769.
mla: Lagator, Mato, et al. “Epistatic Interactions in the Arabinose Cis-Regulatory
Element.” Molecular Biology and Evolution, vol. 33, no. 3, Oxford University
Press, 2016, pp. 761–69, doi:10.1093/molbev/msv269.
short: M. Lagator, C. Igler, A. Moreno, C.C. Guet, J.P. Bollback, Molecular Biology
and Evolution 33 (2016) 761–769.
date_created: 2018-12-11T11:51:57Z
date_published: 2016-03-01T00:00:00Z
date_updated: 2021-01-12T06:50:39Z
day: '01'
ddc:
- '570'
- '576'
department:
- _id: CaGu
- _id: JoBo
doi: 10.1093/molbev/msv269
ec_funded: 1
file:
- access_level: open_access
checksum: 1f456ce1d2aa2f67176a1709f9702ecf
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:09:27Z
date_updated: 2020-07-14T12:44:53Z
file_id: '4751'
file_name: IST-2016-588-v1+1_Mol_Biol_Evol-2016-Lagator-761-9.pdf
file_size: 648115
relation: main_file
file_date_updated: 2020-07-14T12:44:53Z
has_accepted_license: '1'
intvolume: ' 33'
issue: '3'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: 761 - 769
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Molecular Biology and Evolution
publication_status: published
publisher: Oxford University Press
publist_id: '5772'
pubrep_id: '588'
quality_controlled: '1'
scopus_import: 1
status: public
title: Epistatic interactions in the arabinose cis-regulatory element
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 33
year: '2016'
...
---
_id: '1524'
abstract:
- lang: eng
text: "When designing genetic circuits, the typical primitives used in major existing
modelling formalisms are gene interaction graphs, where edges between genes denote
either an activation or inhibition relation. However, when designing experiments,
it is important to be precise about the low-level mechanistic details as to how
each such relation is implemented. The rule-based modelling language Kappa allows
to unambiguously specify mechanistic details such as DNA binding sites, dimerisation
of transcription factors, or co-operative interactions. Such a detailed description
comes with complexity and computationally costly executions. We propose a general
method for automatically transforming a rule-based program, by eliminating intermediate
species and adjusting the rate constants accordingly. To the best of our knowledge,
we show the first automated reduction of rule-based models based on equilibrium
approximations.\r\nOur algorithm is an adaptation of an existing algorithm, which
was designed for reducing reaction-based programs; our version of the algorithm
scans the rule-based Kappa model in search for those interaction patterns known
to be amenable to equilibrium approximations (e.g. Michaelis-Menten scheme). Additional
checks are then performed in order to verify if the reduction is meaningful in
the context of the full model. The reduced model is efficiently obtained by static
inspection over the rule-set. The tool is tested on a detailed rule-based model
of a λ-phage switch, which lists 92 rules and 13 agents. The reduced model has
11 rules and 5 agents, and provides a dramatic reduction in simulation time of
several orders of magnitude."
acknowledgement: This research was supported by the People Programme (Marie Curie
Actions) of the European Union’s Seventh Framework Programme (FP7/2007-2013) under
REA grant agreement no. 291734, and the SNSF Early Postdoc.Mobility Fellowship,
the grant number P2EZP2_148797.
alternative_title:
- LNCS
author:
- first_name: Andreea
full_name: Beica, Andreea
last_name: Beica
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Tatjana
full_name: Petrov, Tatjana
id: 3D5811FC-F248-11E8-B48F-1D18A9856A87
last_name: Petrov
orcid: 0000-0002-9041-0905
citation:
ama: 'Beica A, Guet CC, Petrov T. Efficient reduction of kappa models by static
inspection of the rule-set. In: Vol 9271. Springer; 2016:173-191. doi:10.1007/978-3-319-26916-0_10'
apa: 'Beica, A., Guet, C. C., & Petrov, T. (2016). Efficient reduction of kappa
models by static inspection of the rule-set (Vol. 9271, pp. 173–191). Presented
at the HSB: Hybrid Systems Biology, Madrid, Spain: Springer. https://doi.org/10.1007/978-3-319-26916-0_10'
chicago: Beica, Andreea, Calin C Guet, and Tatjana Petrov. “Efficient Reduction
of Kappa Models by Static Inspection of the Rule-Set,” 9271:173–91. Springer,
2016. https://doi.org/10.1007/978-3-319-26916-0_10.
ieee: 'A. Beica, C. C. Guet, and T. Petrov, “Efficient reduction of kappa models
by static inspection of the rule-set,” presented at the HSB: Hybrid Systems Biology,
Madrid, Spain, 2016, vol. 9271, pp. 173–191.'
ista: 'Beica A, Guet CC, Petrov T. 2016. Efficient reduction of kappa models by
static inspection of the rule-set. HSB: Hybrid Systems Biology, LNCS, vol. 9271,
173–191.'
mla: Beica, Andreea, et al. Efficient Reduction of Kappa Models by Static Inspection
of the Rule-Set. Vol. 9271, Springer, 2016, pp. 173–91, doi:10.1007/978-3-319-26916-0_10.
short: A. Beica, C.C. Guet, T. Petrov, in:, Springer, 2016, pp. 173–191.
conference:
end_date: 2015-09-05
location: Madrid, Spain
name: 'HSB: Hybrid Systems Biology'
start_date: 2015-09-04
date_created: 2018-12-11T11:52:31Z
date_published: 2016-01-10T00:00:00Z
date_updated: 2021-01-12T06:51:22Z
day: '10'
department:
- _id: CaGu
- _id: ToHe
doi: 10.1007/978-3-319-26916-0_10
ec_funded: 1
intvolume: ' 9271'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1501.00440
month: '01'
oa: 1
oa_version: Preprint
page: 173 - 191
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication_status: published
publisher: Springer
publist_id: '5649'
quality_controlled: '1'
scopus_import: 1
status: public
title: Efficient reduction of kappa models by static inspection of the rule-set
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 9271
year: '2016'
...
---
_id: '1250'
abstract:
- lang: eng
text: In bacteria, replicative aging manifests as a difference in growth or survival
between the two cells emerging from division. One cell can be regarded as an aging
mother with a decreased potential for future survival and division, the other
as a rejuvenated daughter. Here, we aimed at investigating some of the processes
involved in aging in the bacterium Escherichia coli, where the two types of cells
can be distinguished by the age of their cell poles. We found that certain changes
in the regulation of the carbohydrate metabolism can affect aging. A mutation
in the carbon storage regulator gene, csrA, leads to a dramatically shorter replicative
lifespan; csrA mutants stop dividing once their pole exceeds an age of about five
divisions. These old-pole cells accumulate glycogen at their old cell poles; after
their last division, they do not contain a chromosome, presumably because of spatial
exclusion by the glycogen aggregates. The new-pole daughters produced by these
aging mothers are born young; they only express the deleterious phenotype once
their pole is old. These results demonstrate how manipulations of nutrient allocation
can lead to the exclusion of the chromosome and limit replicative lifespan in
E. coli, and illustrate how mutations can have phenotypic effects that are specific
for cells with old poles. This raises the question how bacteria can avoid the
accumulation of such mutations in their genomes over evolutionary times, and how
they can achieve the long replicative lifespans that have recently been reported.
acknowledgement: This manuscript is dedicated to the memory of Alex Böhm, who was
a great friend and a passionate biologist. Alex passed away after the initial submission
of this manuscript. We thank Vesna Olivera and Ursula Sauder from the Zentrum für
Mikroskopie Uni Basel for excellent service, and Olin Silander, Nikki Freed, and
Nela Nikolic for helpful discussions. This work was supported by the Swiss National
Science Foundation grants to M. Ackermann and Urs Jenal (supporting AB).
article_number: e1005974
author:
- first_name: Alex
full_name: Boehm, Alex
last_name: Boehm
- first_name: Markus
full_name: Arnoldini, Markus
last_name: Arnoldini
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Thomas
full_name: Röösli, Thomas
last_name: Röösli
- first_name: Colette
full_name: Bigosch, Colette
last_name: Bigosch
- first_name: Martin
full_name: Ackermann, Martin
last_name: Ackermann
citation:
ama: Boehm A, Arnoldini M, Bergmiller T, Röösli T, Bigosch C, Ackermann M. Genetic
manipulation of glycogen allocation affects replicative lifespan in E coli. PLoS
Genetics. 2016;12(4). doi:10.1371/journal.pgen.1005974
apa: Boehm, A., Arnoldini, M., Bergmiller, T., Röösli, T., Bigosch, C., & Ackermann,
M. (2016). Genetic manipulation of glycogen allocation affects replicative lifespan
in E coli. PLoS Genetics. Public Library of Science. https://doi.org/10.1371/journal.pgen.1005974
chicago: Boehm, Alex, Markus Arnoldini, Tobias Bergmiller, Thomas Röösli, Colette
Bigosch, and Martin Ackermann. “Genetic Manipulation of Glycogen Allocation Affects
Replicative Lifespan in E Coli.” PLoS Genetics. Public Library of Science,
2016. https://doi.org/10.1371/journal.pgen.1005974.
ieee: A. Boehm, M. Arnoldini, T. Bergmiller, T. Röösli, C. Bigosch, and M. Ackermann,
“Genetic manipulation of glycogen allocation affects replicative lifespan in E
coli,” PLoS Genetics, vol. 12, no. 4. Public Library of Science, 2016.
ista: Boehm A, Arnoldini M, Bergmiller T, Röösli T, Bigosch C, Ackermann M. 2016.
Genetic manipulation of glycogen allocation affects replicative lifespan in E
coli. PLoS Genetics. 12(4), e1005974.
mla: Boehm, Alex, et al. “Genetic Manipulation of Glycogen Allocation Affects Replicative
Lifespan in E Coli.” PLoS Genetics, vol. 12, no. 4, e1005974, Public Library
of Science, 2016, doi:10.1371/journal.pgen.1005974.
short: A. Boehm, M. Arnoldini, T. Bergmiller, T. Röösli, C. Bigosch, M. Ackermann,
PLoS Genetics 12 (2016).
date_created: 2018-12-11T11:50:56Z
date_published: 2016-04-19T00:00:00Z
date_updated: 2023-02-23T14:11:39Z
day: '19'
ddc:
- '576'
- '579'
department:
- _id: CaGu
doi: 10.1371/journal.pgen.1005974
file:
- access_level: open_access
checksum: 53d22b2b39e5adc243d34f18b2615a85
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:14:17Z
date_updated: 2020-07-14T12:44:41Z
file_id: '5067'
file_name: IST-2016-705-v1+1_journal.pgen.1005974.PDF
file_size: 6273249
relation: main_file
file_date_updated: 2020-07-14T12:44:41Z
has_accepted_license: '1'
intvolume: ' 12'
issue: '4'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
publication: PLoS Genetics
publication_status: published
publisher: Public Library of Science
publist_id: '6077'
pubrep_id: '705'
quality_controlled: '1'
related_material:
record:
- id: '9873'
relation: research_data
status: public
scopus_import: 1
status: public
title: Genetic manipulation of glycogen allocation affects replicative lifespan in
E coli
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 12
year: '2016'
...
---
_id: '9873'
article_processing_charge: No
author:
- first_name: Alex
full_name: Boehm, Alex
last_name: Boehm
- first_name: Markus
full_name: Arnoldini, Markus
last_name: Arnoldini
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Thomas
full_name: Röösli, Thomas
last_name: Röösli
- first_name: Colette
full_name: Bigosch, Colette
last_name: Bigosch
- first_name: Martin
full_name: Ackermann, Martin
last_name: Ackermann
citation:
ama: Boehm A, Arnoldini M, Bergmiller T, Röösli T, Bigosch C, Ackermann M. Quantification
of the growth rate reduction as a consequence of age-specific mortality. 2016.
doi:10.1371/journal.pgen.1005974.s015
apa: Boehm, A., Arnoldini, M., Bergmiller, T., Röösli, T., Bigosch, C., & Ackermann,
M. (2016). Quantification of the growth rate reduction as a consequence of age-specific
mortality. Public Library of Science. https://doi.org/10.1371/journal.pgen.1005974.s015
chicago: Boehm, Alex, Markus Arnoldini, Tobias Bergmiller, Thomas Röösli, Colette
Bigosch, and Martin Ackermann. “Quantification of the Growth Rate Reduction as
a Consequence of Age-Specific Mortality.” Public Library of Science, 2016. https://doi.org/10.1371/journal.pgen.1005974.s015.
ieee: A. Boehm, M. Arnoldini, T. Bergmiller, T. Röösli, C. Bigosch, and M. Ackermann,
“Quantification of the growth rate reduction as a consequence of age-specific
mortality.” Public Library of Science, 2016.
ista: Boehm A, Arnoldini M, Bergmiller T, Röösli T, Bigosch C, Ackermann M. 2016.
Quantification of the growth rate reduction as a consequence of age-specific mortality,
Public Library of Science, 10.1371/journal.pgen.1005974.s015.
mla: Boehm, Alex, et al. Quantification of the Growth Rate Reduction as a Consequence
of Age-Specific Mortality. Public Library of Science, 2016, doi:10.1371/journal.pgen.1005974.s015.
short: A. Boehm, M. Arnoldini, T. Bergmiller, T. Röösli, C. Bigosch, M. Ackermann,
(2016).
date_created: 2021-08-10T09:42:34Z
date_updated: 2023-02-21T16:50:13Z
day: '19'
department:
- _id: CaGu
doi: 10.1371/journal.pgen.1005974.s015
month: '04'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '1250'
relation: used_in_publication
status: public
status: public
title: Quantification of the growth rate reduction as a consequence of age-specific
mortality
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2016'
...
---
_id: '5749'
abstract:
- lang: eng
text: Parasitism creates selection for resistance mechanisms in host populations
and is hypothesized to promote increased host evolvability. However, the influence
of these traits on host evolution when parasites are no longer present is unclear.
We used experimental evolution and whole-genome sequencing of Escherichia coli
to determine the effects of past and present exposure to parasitic viruses (phages)
on the spread of mutator alleles, resistance, and bacterial competitive fitness.
We found that mutator alleles spread rapidly during adaptation to any of four
different phage species, and this pattern was even more pronounced with multiple
phages present simultaneously. However, hypermutability did not detectably accelerate
adaptation in the absence of phages and recovery of fitness costs associated with
resistance. Several lineages evolved phage resistance through elevated mucoidy,
and during subsequent evolution in phage-free conditions they rapidly reverted
to nonmucoid, phage-susceptible phenotypes. Genome sequencing revealed that this
phenotypic reversion was achieved by additional genetic changes rather than by
genotypic reversion of the initial resistance mutations. Insertion sequence (IS)
elements played a key role in both the acquisition of resistance and adaptation
in the absence of parasites; unlike single nucleotide polymorphisms, IS insertions
were not more frequent in mutator lineages. Our results provide a genetic explanation
for rapid reversion of mucoidy, a phenotype observed in other bacterial species
including human pathogens. Moreover, this demonstrates that the types of genetic
change underlying adaptation to fitness costs, and consequently the impact of
evolvability mechanisms such as increased point-mutation rates, depend critically
on the mechanism of resistance.
acknowledgement: The authors thank three anonymous reviewers and the editor for helpful
comments on the manuscript, as well as Dominique Schneider for feedback on an earlier
draft, Jenna Gallie for lytic λ and Julien Capelle for T5 and T6. This work was
supported by the Swiss National Science Foundation (PZ00P3_148255 to A.H.) and an
EU Marie Curie PEOPLE Postdoctoral Fellowship for Career Development (FP7-PEOPLE-2012-IEF-331824
to S.W.).
article_processing_charge: No
author:
- first_name: Sébastien
full_name: Wielgoss, Sébastien
last_name: Wielgoss
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Anna M.
full_name: Bischofberger, Anna M.
last_name: Bischofberger
- first_name: Alex R.
full_name: Hall, Alex R.
last_name: Hall
citation:
ama: Wielgoss S, Bergmiller T, Bischofberger AM, Hall AR. Adaptation to parasites
and costs of parasite resistance in mutator and nonmutator bacteria. Molecular
Biology and Evolution. 2016;33(3):770-782. doi:10.1093/molbev/msv270
apa: Wielgoss, S., Bergmiller, T., Bischofberger, A. M., & Hall, A. R. (2016).
Adaptation to parasites and costs of parasite resistance in mutator and nonmutator
bacteria. Molecular Biology and Evolution. Oxford University Press. https://doi.org/10.1093/molbev/msv270
chicago: Wielgoss, Sébastien, Tobias Bergmiller, Anna M. Bischofberger, and Alex
R. Hall. “Adaptation to Parasites and Costs of Parasite Resistance in Mutator
and Nonmutator Bacteria.” Molecular Biology and Evolution. Oxford University
Press, 2016. https://doi.org/10.1093/molbev/msv270.
ieee: S. Wielgoss, T. Bergmiller, A. M. Bischofberger, and A. R. Hall, “Adaptation
to parasites and costs of parasite resistance in mutator and nonmutator bacteria,”
Molecular Biology and Evolution, vol. 33, no. 3. Oxford University Press,
pp. 770–782, 2016.
ista: Wielgoss S, Bergmiller T, Bischofberger AM, Hall AR. 2016. Adaptation to parasites
and costs of parasite resistance in mutator and nonmutator bacteria. Molecular
Biology and Evolution. 33(3), 770–782.
mla: Wielgoss, Sébastien, et al. “Adaptation to Parasites and Costs of Parasite
Resistance in Mutator and Nonmutator Bacteria.” Molecular Biology and Evolution,
vol. 33, no. 3, Oxford University Press, 2016, pp. 770–82, doi:10.1093/molbev/msv270.
short: S. Wielgoss, T. Bergmiller, A.M. Bischofberger, A.R. Hall, Molecular Biology
and Evolution 33 (2016) 770–782.
date_created: 2018-12-18T13:18:10Z
date_published: 2016-03-01T00:00:00Z
date_updated: 2023-09-05T13:46:05Z
day: '01'
ddc:
- '576'
department:
- _id: CaGu
doi: 10.1093/molbev/msv270
external_id:
pmid:
- '26609077'
file:
- access_level: open_access
checksum: 47d9010690b6c5c17f2ac830cc63ac5c
content_type: application/pdf
creator: dernst
date_created: 2018-12-18T13:21:45Z
date_updated: 2020-07-14T12:47:10Z
file_id: '5750'
file_name: 2016_MolBiolEvol_Wielgoss.pdf
file_size: 634037
relation: main_file
file_date_updated: 2020-07-14T12:47:10Z
has_accepted_license: '1'
intvolume: ' 33'
issue: '3'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: 770-782
pmid: 1
publication: Molecular Biology and Evolution
publication_identifier:
eissn:
- 1537-1719
issn:
- 0737-4038
publication_status: published
publisher: Oxford University Press
pubrep_id: '587'
quality_controlled: '1'
related_material:
record:
- id: '9719'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Adaptation to parasites and costs of parasite resistance in mutator and nonmutator
bacteria
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 33
year: '2016'
...
---
_id: '1093'
abstract:
- lang: eng
text: 'We introduce a general class of distances (metrics) between Markov chains,
which are based on linear behaviour. This class encompasses distances given topologically
(such as the total variation distance or trace distance) as well as by temporal
logics or automata. We investigate which of the distances can be approximated
by observing the systems, i.e. by black-box testing or simulation, and we provide
both negative and positive results. '
acknowledgement: "This research was funded in part by the European Research Council
(ERC) under grant agreement 267989\r\n(QUAREM), the Austrian Science Fund (FWF)
under grants project S11402-N23 (RiSE and SHiNE)\r\nand Z211-N23 (Wittgenstein Award),
by the Czech Science Foundation Grant No. P202/12/G061, and\r\nby the SNSF Advanced
Postdoc. Mobility Fellowship – grant number P300P2_161067."
alternative_title:
- LIPIcs
article_number: '20'
author:
- first_name: Przemyslaw
full_name: Daca, Przemyslaw
id: 49351290-F248-11E8-B48F-1D18A9856A87
last_name: Daca
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Jan
full_name: Kretinsky, Jan
id: 44CEF464-F248-11E8-B48F-1D18A9856A87
last_name: Kretinsky
orcid: 0000-0002-8122-2881
- first_name: Tatjana
full_name: Petrov, Tatjana
id: 3D5811FC-F248-11E8-B48F-1D18A9856A87
last_name: Petrov
orcid: 0000-0002-9041-0905
citation:
ama: 'Daca P, Henzinger TA, Kretinsky J, Petrov T. Linear distances between Markov
chains. In: Vol 59. Schloss Dagstuhl - Leibniz-Zentrum für Informatik; 2016. doi:10.4230/LIPIcs.CONCUR.2016.20'
apa: 'Daca, P., Henzinger, T. A., Kretinsky, J., & Petrov, T. (2016). Linear
distances between Markov chains (Vol. 59). Presented at the CONCUR: Concurrency
Theory, Quebec City; Canada: Schloss Dagstuhl - Leibniz-Zentrum für Informatik.
https://doi.org/10.4230/LIPIcs.CONCUR.2016.20'
chicago: Daca, Przemyslaw, Thomas A Henzinger, Jan Kretinsky, and Tatjana Petrov.
“Linear Distances between Markov Chains,” Vol. 59. Schloss Dagstuhl - Leibniz-Zentrum
für Informatik, 2016. https://doi.org/10.4230/LIPIcs.CONCUR.2016.20.
ieee: 'P. Daca, T. A. Henzinger, J. Kretinsky, and T. Petrov, “Linear distances
between Markov chains,” presented at the CONCUR: Concurrency Theory, Quebec City;
Canada, 2016, vol. 59.'
ista: 'Daca P, Henzinger TA, Kretinsky J, Petrov T. 2016. Linear distances between
Markov chains. CONCUR: Concurrency Theory, LIPIcs, vol. 59, 20.'
mla: Daca, Przemyslaw, et al. Linear Distances between Markov Chains. Vol.
59, 20, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2016, doi:10.4230/LIPIcs.CONCUR.2016.20.
short: P. Daca, T.A. Henzinger, J. Kretinsky, T. Petrov, in:, Schloss Dagstuhl -
Leibniz-Zentrum für Informatik, 2016.
conference:
end_date: 2016-08-26
location: Quebec City; Canada
name: 'CONCUR: Concurrency Theory'
start_date: 2016-08-23
date_created: 2018-12-11T11:50:06Z
date_published: 2016-08-01T00:00:00Z
date_updated: 2023-09-07T11:58:33Z
day: '01'
ddc:
- '004'
department:
- _id: ToHe
- _id: KrCh
- _id: CaGu
doi: 10.4230/LIPIcs.CONCUR.2016.20
ec_funded: 1
file:
- access_level: open_access
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:11:39Z
date_updated: 2018-12-12T10:11:39Z
file_id: '4895'
file_name: IST-2017-794-v1+1_LIPIcs-CONCUR-2016-20.pdf
file_size: 501827
relation: main_file
file_date_updated: 2018-12-12T10:11:39Z
has_accepted_license: '1'
intvolume: ' 59'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 25EE3708-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '267989'
name: Quantitative Reactive Modeling
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
publication_status: published
publisher: Schloss Dagstuhl - Leibniz-Zentrum für Informatik
publist_id: '6283'
pubrep_id: '794'
quality_controlled: '1'
related_material:
record:
- id: '1155'
relation: dissertation_contains
status: public
scopus_import: 1
status: public
title: Linear distances between Markov chains
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 59
year: '2016'
...
---
_id: '1234'
abstract:
- lang: eng
text: We present a new algorithm for the statistical model checking of Markov chains
with respect to unbounded temporal properties, including full linear temporal
logic. The main idea is that we monitor each simulation run on the fly, in order
to detect quickly if a bottom strongly connected component is entered with high
probability, in which case the simulation run can be terminated early. As a result,
our simulation runs are often much shorter than required by termination bounds
that are computed a priori for a desired level of confidence on a large state
space. In comparison to previous algorithms for statistical model checking our
method is not only faster in many cases but also requires less information about
the system, namely, only the minimum transition probability that occurs in the
Markov chain. In addition, our method can be generalised to unbounded quantitative
properties such as mean-payoff bounds.
acknowledgement: "This research was funded in part by the European Research Council
(ERC) under\r\ngrant agreement 267989 (QUAREM), the Austrian Science Fund
\ (FWF) under\r\ngrants project S11402-N23 (RiSE) and Z211-N23 (Wittgenstein Award),
the Peo-\r\nple Programme (Marie Curie Actions) of the European Union’s Seventh
Framework\r\nProgramme (FP7/2007-2013) REA Grant No 291734, the SNSF Advanced Postdoc.\r\nMobility
Fellowship – grant number P300P2\r\n161067, and the Czech Science Foun-\r\ndation
under grant agreement P202/12/G061."
alternative_title:
- LNCS
author:
- first_name: Przemyslaw
full_name: Daca, Przemyslaw
id: 49351290-F248-11E8-B48F-1D18A9856A87
last_name: Daca
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Jan
full_name: Kretinsky, Jan
id: 44CEF464-F248-11E8-B48F-1D18A9856A87
last_name: Kretinsky
orcid: 0000-0002-8122-2881
- first_name: Tatjana
full_name: Petrov, Tatjana
id: 3D5811FC-F248-11E8-B48F-1D18A9856A87
last_name: Petrov
orcid: 0000-0002-9041-0905
citation:
ama: 'Daca P, Henzinger TA, Kretinsky J, Petrov T. Faster statistical model checking
for unbounded temporal properties. In: Vol 9636. Springer; 2016:112-129. doi:10.1007/978-3-662-49674-9_7'
apa: 'Daca, P., Henzinger, T. A., Kretinsky, J., & Petrov, T. (2016). Faster
statistical model checking for unbounded temporal properties (Vol. 9636, pp. 112–129).
Presented at the TACAS: Tools and Algorithms for the Construction and Analysis
of Systems, Eindhoven, The Netherlands: Springer. https://doi.org/10.1007/978-3-662-49674-9_7'
chicago: Daca, Przemyslaw, Thomas A Henzinger, Jan Kretinsky, and Tatjana Petrov.
“Faster Statistical Model Checking for Unbounded Temporal Properties,” 9636:112–29.
Springer, 2016. https://doi.org/10.1007/978-3-662-49674-9_7.
ieee: 'P. Daca, T. A. Henzinger, J. Kretinsky, and T. Petrov, “Faster statistical
model checking for unbounded temporal properties,” presented at the TACAS: Tools
and Algorithms for the Construction and Analysis of Systems, Eindhoven, The Netherlands,
2016, vol. 9636, pp. 112–129.'
ista: 'Daca P, Henzinger TA, Kretinsky J, Petrov T. 2016. Faster statistical model
checking for unbounded temporal properties. TACAS: Tools and Algorithms for the
Construction and Analysis of Systems, LNCS, vol. 9636, 112–129.'
mla: Daca, Przemyslaw, et al. Faster Statistical Model Checking for Unbounded
Temporal Properties. Vol. 9636, Springer, 2016, pp. 112–29, doi:10.1007/978-3-662-49674-9_7.
short: P. Daca, T.A. Henzinger, J. Kretinsky, T. Petrov, in:, Springer, 2016, pp.
112–129.
conference:
end_date: 2016-04-08
location: Eindhoven, The Netherlands
name: 'TACAS: Tools and Algorithms for the Construction and Analysis of Systems'
start_date: 2016-04-02
date_created: 2018-12-11T11:50:51Z
date_published: 2016-01-01T00:00:00Z
date_updated: 2023-09-07T11:58:33Z
day: '01'
department:
- _id: ToHe
- _id: CaGu
doi: 10.1007/978-3-662-49674-9_7
ec_funded: 1
intvolume: ' 9636'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1504.05739
month: '01'
oa: 1
oa_version: Preprint
page: 112 - 129
project:
- _id: 25EE3708-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '267989'
name: Quantitative Reactive Modeling
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication_status: published
publisher: Springer
publist_id: '6099'
quality_controlled: '1'
related_material:
record:
- id: '471'
relation: later_version
status: public
- id: '1155'
relation: dissertation_contains
status: public
scopus_import: 1
status: public
title: Faster statistical model checking for unbounded temporal properties
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 9636
year: '2016'
...
---
_id: '1243'
abstract:
- lang: eng
text: Restriction-modification (RM) systems represent a minimal and ubiquitous biological
system of self/non-self discrimination in prokaryotes [1], which protects hosts
from exogenous DNA [2]. The mechanism is based on the balance between methyltransferase
(M) and cognate restriction endonuclease (R). M tags endogenous DNA as self by
methylating short specific DNA sequences called restriction sites, whereas R recognizes
unmethylated restriction sites as non-self and introduces a double-stranded DNA
break [3]. Restriction sites are significantly underrepresented in prokaryotic
genomes [4-7], suggesting that the discrimination mechanism is imperfect and occasionally
leads to autoimmunity due to self-DNA cleavage (self-restriction) [8]. Furthermore,
RM systems can promote DNA recombination [9] and contribute to genetic variation
in microbial populations, thus facilitating adaptive evolution [10]. However,
cleavage of self-DNA by RM systems as elements shaping prokaryotic genomes has
not been directly detected, and its cause, frequency, and outcome are unknown.
We quantify self-restriction caused by two RM systems of Escherichia coli and
find that, in agreement with levels of restriction site avoidance, EcoRI, but
not EcoRV, cleaves self-DNA at a measurable rate. Self-restriction is a stochastic
process, which temporarily induces the SOS response, and is followed by DNA repair,
maintaining cell viability. We find that RM systems with higher restriction efficiency
against bacteriophage infections exhibit a higher rate of self-restriction, and
that this rate can be further increased by stochastic imbalance between R and
M. Our results identify molecular noise in RM systems as a factor shaping prokaryotic
genomes.
acknowledgement: This work was funded by an HFSP Young Investigators’ grant. M.P.
is a recipient of a DOC Fellowship of the Austrian Academy of Science at the Institute
of Science and Technology Austria. R.O. and Y.W. were supported by the Platform
for Dynamic Approaches to Living System from MEXT, Japan. We wish to thank I. Kobayashi
for providing us with the EcoRI and EcoRV plasmids, and A. Campbell for providing
us with the λ vir phage. We thank D. Siekhaus and C. Uhler and members of the C.C.G.
and J.P. Bollback laboratories for in-depth discussions. We thank B. Stern for comments
on an earlier version of the manuscript. We especially thank B.R. Levin for advice
and comments, and the anonymous reviewers for significantly improving the manuscript.
author:
- first_name: Maros
full_name: Pleska, Maros
id: 4569785E-F248-11E8-B48F-1D18A9856A87
last_name: Pleska
orcid: 0000-0001-7460-7479
- first_name: Long
full_name: Qian, Long
last_name: Qian
- first_name: Reiko
full_name: Okura, Reiko
last_name: Okura
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Yuichi
full_name: Wakamoto, Yuichi
last_name: Wakamoto
- first_name: Edo
full_name: Kussell, Edo
last_name: Kussell
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Pleska M, Qian L, Okura R, et al. Bacterial autoimmunity due to a restriction-modification
system. Current Biology. 2016;26(3):404-409. doi:10.1016/j.cub.2015.12.041
apa: Pleska, M., Qian, L., Okura, R., Bergmiller, T., Wakamoto, Y., Kussell, E.,
& Guet, C. C. (2016). Bacterial autoimmunity due to a restriction-modification
system. Current Biology. Cell Press. https://doi.org/10.1016/j.cub.2015.12.041
chicago: Pleska, Maros, Long Qian, Reiko Okura, Tobias Bergmiller, Yuichi Wakamoto,
Edo Kussell, and Calin C Guet. “Bacterial Autoimmunity Due to a Restriction-Modification
System.” Current Biology. Cell Press, 2016. https://doi.org/10.1016/j.cub.2015.12.041.
ieee: M. Pleska et al., “Bacterial autoimmunity due to a restriction-modification
system,” Current Biology, vol. 26, no. 3. Cell Press, pp. 404–409, 2016.
ista: Pleska M, Qian L, Okura R, Bergmiller T, Wakamoto Y, Kussell E, Guet CC. 2016.
Bacterial autoimmunity due to a restriction-modification system. Current Biology.
26(3), 404–409.
mla: Pleska, Maros, et al. “Bacterial Autoimmunity Due to a Restriction-Modification
System.” Current Biology, vol. 26, no. 3, Cell Press, 2016, pp. 404–09,
doi:10.1016/j.cub.2015.12.041.
short: M. Pleska, L. Qian, R. Okura, T. Bergmiller, Y. Wakamoto, E. Kussell, C.C.
Guet, Current Biology 26 (2016) 404–409.
date_created: 2018-12-11T11:50:54Z
date_published: 2016-02-08T00:00:00Z
date_updated: 2023-09-07T11:59:32Z
day: '08'
department:
- _id: CaGu
doi: 10.1016/j.cub.2015.12.041
intvolume: ' 26'
issue: '3'
language:
- iso: eng
month: '02'
oa_version: None
page: 404 - 409
project:
- _id: 251D65D8-B435-11E9-9278-68D0E5697425
grant_number: '24210'
name: Effects of Stochasticity on the Function of Restriction-Modi cation Systems
at the Single-Cell Level (DOC Fellowship)
publication: Current Biology
publication_status: published
publisher: Cell Press
publist_id: '6087'
quality_controlled: '1'
related_material:
record:
- id: '202'
relation: dissertation_contains
status: public
scopus_import: 1
status: public
title: Bacterial autoimmunity due to a restriction-modification system
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 26
year: '2016'
...
---
_id: '1358'
abstract:
- lang: eng
text: 'Gene regulation relies on the specificity of transcription factor (TF)–DNA
interactions. Limited specificity may lead to crosstalk: a regulatory state in
which a gene is either incorrectly activated due to noncognate TF–DNA interactions
or remains erroneously inactive. As each TF can have numerous interactions with
noncognate cis-regulatory elements, crosstalk is inherently a global problem,
yet has previously not been studied as such. We construct a theoretical framework
to analyse the effects of global crosstalk on gene regulation. We find that crosstalk
presents a significant challenge for organisms with low-specificity TFs, such
as metazoans. Crosstalk is not easily mitigated by known regulatory schemes acting
at equilibrium, including variants of cooperativity and combinatorial regulation.
Our results suggest that crosstalk imposes a previously unexplored global constraint
on the functioning and evolution of regulatory networks, which is qualitatively
distinct from the known constraints that act at the level of individual gene regulatory
elements.'
article_number: '12307'
author:
- first_name: Tamar
full_name: Friedlander, Tamar
id: 36A5845C-F248-11E8-B48F-1D18A9856A87
last_name: Friedlander
- first_name: Roshan
full_name: Prizak, Roshan
id: 4456104E-F248-11E8-B48F-1D18A9856A87
last_name: Prizak
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: Friedlander T, Prizak R, Guet CC, Barton NH, Tkačik G. Intrinsic limits to
gene regulation by global crosstalk. Nature Communications. 2016;7. doi:10.1038/ncomms12307
apa: Friedlander, T., Prizak, R., Guet, C. C., Barton, N. H., & Tkačik, G. (2016).
Intrinsic limits to gene regulation by global crosstalk. Nature Communications.
Nature Publishing Group. https://doi.org/10.1038/ncomms12307
chicago: Friedlander, Tamar, Roshan Prizak, Calin C Guet, Nicholas H Barton, and
Gašper Tkačik. “Intrinsic Limits to Gene Regulation by Global Crosstalk.” Nature
Communications. Nature Publishing Group, 2016. https://doi.org/10.1038/ncomms12307.
ieee: T. Friedlander, R. Prizak, C. C. Guet, N. H. Barton, and G. Tkačik, “Intrinsic
limits to gene regulation by global crosstalk,” Nature Communications,
vol. 7. Nature Publishing Group, 2016.
ista: Friedlander T, Prizak R, Guet CC, Barton NH, Tkačik G. 2016. Intrinsic limits
to gene regulation by global crosstalk. Nature Communications. 7, 12307.
mla: Friedlander, Tamar, et al. “Intrinsic Limits to Gene Regulation by Global Crosstalk.”
Nature Communications, vol. 7, 12307, Nature Publishing Group, 2016, doi:10.1038/ncomms12307.
short: T. Friedlander, R. Prizak, C.C. Guet, N.H. Barton, G. Tkačik, Nature Communications
7 (2016).
date_created: 2018-12-11T11:51:34Z
date_published: 2016-08-04T00:00:00Z
date_updated: 2023-09-07T12:53:49Z
day: '04'
ddc:
- '576'
department:
- _id: GaTk
- _id: NiBa
- _id: CaGu
doi: 10.1038/ncomms12307
ec_funded: 1
file:
- access_level: open_access
checksum: fe3f3a1526d180b29fe691ab11435b78
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:01Z
date_updated: 2020-07-14T12:44:46Z
file_id: '4919'
file_name: IST-2016-627-v1+1_ncomms12307.pdf
file_size: 861805
relation: main_file
- access_level: open_access
checksum: 164864a1a675f3ad80e9917c27aba07f
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:02Z
date_updated: 2020-07-14T12:44:46Z
file_id: '4920'
file_name: IST-2016-627-v1+2_ncomms12307-s1.pdf
file_size: 1084703
relation: main_file
file_date_updated: 2020-07-14T12:44:46Z
has_accepted_license: '1'
intvolume: ' 7'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication: Nature Communications
publication_status: published
publisher: Nature Publishing Group
publist_id: '5887'
pubrep_id: '627'
quality_controlled: '1'
related_material:
record:
- id: '6071'
relation: dissertation_contains
status: public
scopus_import: 1
status: public
title: Intrinsic limits to gene regulation by global crosstalk
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 7
year: '2016'
...
---
_id: '1430'
abstract:
- lang: eng
text: Evolutionary algorithms (EAs) form a popular optimisation paradigm inspired
by natural evolution. In recent years the field of evolutionary computation has
developed a rigorous analytical theory to analyse their runtime on many illustrative
problems. Here we apply this theory to a simple model of natural evolution. In
the Strong Selection Weak Mutation (SSWM) evolutionary regime the time between
occurrence of new mutations is much longer than the time it takes for a new beneficial
mutation to take over the population. In this situation, the population only contains
copies of one genotype and evolution can be modelled as a (1+1)-type process where
the probability of accepting a new genotype (improvements or worsenings) depends
on the change in fitness. We present an initial runtime analysis of SSWM, quantifying
its performance for various parameters and investigating differences to the (1+1)
EA. We show that SSWM can have a moderate advantage over the (1+1) EA at crossing
fitness valleys and study an example where SSWM outperforms the (1+1) EA by taking
advantage of information on the fitness gradient.
author:
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Dirk
full_name: Sudholt, Dirk
last_name: Sudholt
- first_name: Jorge
full_name: Heredia, Jorge
last_name: Heredia
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
citation:
ama: 'Paixao T, Sudholt D, Heredia J, Trubenova B. First steps towards a runtime
comparison of natural and artificial evolution. In: Proceedings of the 2015
Annual Conference on Genetic and Evolutionary Computation. ACM; 2015:1455-1462.
doi:10.1145/2739480.2754758'
apa: 'Paixao, T., Sudholt, D., Heredia, J., & Trubenova, B. (2015). First steps
towards a runtime comparison of natural and artificial evolution. In Proceedings
of the 2015 Annual Conference on Genetic and Evolutionary Computation (pp.
1455–1462). Madrid, Spain: ACM. https://doi.org/10.1145/2739480.2754758'
chicago: Paixao, Tiago, Dirk Sudholt, Jorge Heredia, and Barbora Trubenova. “First
Steps towards a Runtime Comparison of Natural and Artificial Evolution.” In Proceedings
of the 2015 Annual Conference on Genetic and Evolutionary Computation, 1455–62.
ACM, 2015. https://doi.org/10.1145/2739480.2754758.
ieee: T. Paixao, D. Sudholt, J. Heredia, and B. Trubenova, “First steps towards
a runtime comparison of natural and artificial evolution,” in Proceedings of
the 2015 Annual Conference on Genetic and Evolutionary Computation, Madrid,
Spain, 2015, pp. 1455–1462.
ista: 'Paixao T, Sudholt D, Heredia J, Trubenova B. 2015. First steps towards a
runtime comparison of natural and artificial evolution. Proceedings of the 2015
Annual Conference on Genetic and Evolutionary Computation. GECCO: Genetic and
evolutionary computation conference, 1455–1462.'
mla: Paixao, Tiago, et al. “First Steps towards a Runtime Comparison of Natural
and Artificial Evolution.” Proceedings of the 2015 Annual Conference on Genetic
and Evolutionary Computation, ACM, 2015, pp. 1455–62, doi:10.1145/2739480.2754758.
short: T. Paixao, D. Sudholt, J. Heredia, B. Trubenova, in:, Proceedings of the
2015 Annual Conference on Genetic and Evolutionary Computation, ACM, 2015, pp.
1455–1462.
conference:
end_date: 2015-07-15
location: Madrid, Spain
name: 'GECCO: Genetic and evolutionary computation conference'
start_date: 2015-07-11
date_created: 2018-12-11T11:51:58Z
date_published: 2015-07-11T00:00:00Z
date_updated: 2021-01-12T06:50:41Z
day: '11'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1145/2739480.2754758
ec_funded: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1504.06260
month: '07'
oa: 1
oa_version: Preprint
page: 1455 - 1462
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
publication: Proceedings of the 2015 Annual Conference on Genetic and Evolutionary
Computation
publication_status: published
publisher: ACM
publist_id: '5768'
quality_controlled: '1'
scopus_import: 1
status: public
title: First steps towards a runtime comparison of natural and artificial evolution
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2015'
...
---
_id: '1542'
abstract:
- lang: eng
text: 'The theory of population genetics and evolutionary computation have been
evolving separately for nearly 30 years. Many results have been independently
obtained in both fields and many others are unique to its respective field. We
aim to bridge this gap by developing a unifying framework for evolutionary processes
that allows both evolutionary algorithms and population genetics models to be
cast in the same formal framework. The framework we present here decomposes the
evolutionary process into its several components in order to facilitate the identification
of similarities between different models. In particular, we propose a classification
of evolutionary operators based on the defining properties of the different components.
We cast several commonly used operators from both fields into this common framework.
Using this, we map different evolutionary and genetic algorithms to different
evolutionary regimes and identify candidates with the most potential for the translation
of results between the fields. This provides a unified description of evolutionary
processes and represents a stepping stone towards new tools and results to both
fields. '
author:
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Golnaz
full_name: Badkobeh, Golnaz
last_name: Badkobeh
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Doğan
full_name: Çörüş, Doğan
last_name: Çörüş
- first_name: Duccuong
full_name: Dang, Duccuong
last_name: Dang
- first_name: Tobias
full_name: Friedrich, Tobias
last_name: Friedrich
- first_name: Per
full_name: Lehre, Per
last_name: Lehre
- first_name: Dirk
full_name: Sudholt, Dirk
last_name: Sudholt
- first_name: Andrew
full_name: Sutton, Andrew
last_name: Sutton
- first_name: Barbora
full_name: Trubenova, Barbora
id: 42302D54-F248-11E8-B48F-1D18A9856A87
last_name: Trubenova
orcid: 0000-0002-6873-2967
citation:
ama: Paixao T, Badkobeh G, Barton NH, et al. Toward a unifying framework for evolutionary
processes. Journal of Theoretical Biology. 2015;383:28-43. doi:10.1016/j.jtbi.2015.07.011
apa: Paixao, T., Badkobeh, G., Barton, N. H., Çörüş, D., Dang, D., Friedrich, T.,
… Trubenova, B. (2015). Toward a unifying framework for evolutionary processes.
Journal of Theoretical Biology. Elsevier. https://doi.org/10.1016/j.jtbi.2015.07.011
chicago: Paixao, Tiago, Golnaz Badkobeh, Nicholas H Barton, Doğan Çörüş, Duccuong
Dang, Tobias Friedrich, Per Lehre, Dirk Sudholt, Andrew Sutton, and Barbora Trubenova.
“Toward a Unifying Framework for Evolutionary Processes.” Journal of Theoretical
Biology. Elsevier, 2015. https://doi.org/10.1016/j.jtbi.2015.07.011.
ieee: T. Paixao et al., “Toward a unifying framework for evolutionary processes,”
Journal of Theoretical Biology, vol. 383. Elsevier, pp. 28–43, 2015.
ista: Paixao T, Badkobeh G, Barton NH, Çörüş D, Dang D, Friedrich T, Lehre P, Sudholt
D, Sutton A, Trubenova B. 2015. Toward a unifying framework for evolutionary processes. Journal
of Theoretical Biology. 383, 28–43.
mla: Paixao, Tiago, et al. “Toward a Unifying Framework for Evolutionary Processes.”
Journal of Theoretical Biology, vol. 383, Elsevier, 2015, pp. 28–43, doi:10.1016/j.jtbi.2015.07.011.
short: T. Paixao, G. Badkobeh, N.H. Barton, D. Çörüş, D. Dang, T. Friedrich, P.
Lehre, D. Sudholt, A. Sutton, B. Trubenova, Journal of Theoretical Biology 383
(2015) 28–43.
date_created: 2018-12-11T11:52:37Z
date_published: 2015-10-21T00:00:00Z
date_updated: 2021-01-12T06:51:29Z
day: '21'
ddc:
- '570'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1016/j.jtbi.2015.07.011
ec_funded: 1
file:
- access_level: open_access
checksum: 33b60ecfea60764756a9ee9df5eb65ca
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:16:53Z
date_updated: 2020-07-14T12:45:01Z
file_id: '5244'
file_name: IST-2016-483-v1+1_1-s2.0-S0022519315003409-main.pdf
file_size: 595307
relation: main_file
file_date_updated: 2020-07-14T12:45:01Z
has_accepted_license: '1'
intvolume: ' 383'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
page: 28 - 43
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: ' Journal of Theoretical Biology'
publication_status: published
publisher: Elsevier
publist_id: '5629'
pubrep_id: '483'
quality_controlled: '1'
scopus_import: 1
status: public
title: Toward a unifying framework for evolutionary processes
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 383
year: '2015'
...
---
_id: '1840'
abstract:
- lang: eng
text: In this paper, we present a method for reducing a regular, discrete-time Markov
chain (DTMC) to another DTMC with a given, typically much smaller number of states.
The cost of reduction is defined as the Kullback-Leibler divergence rate between
a projection of the original process through a partition function and a DTMC on
the correspondingly partitioned state space. Finding the reduced model with minimal
cost is computationally expensive, as it requires an exhaustive search among all
state space partitions, and an exact evaluation of the reduction cost for each
candidate partition. Our approach deals with the latter problem by minimizing
an upper bound on the reduction cost instead of minimizing the exact cost. The
proposed upper bound is easy to compute and it is tight if the original chain
is lumpable with respect to the partition. Then, we express the problem in the
form of information bottleneck optimization, and propose using the agglomerative
information bottleneck algorithm for searching a suboptimal partition greedily,
rather than exhaustively. The theory is illustrated with examples and one application
scenario in the context of modeling bio-molecular interactions.
acknowledgement: "This work was supported by the Austrian Research Association under
Project 06/12684, by the Swiss National Science Foundation (SNSF) under Grant PP00P2
128503/1, by the SystemsX.ch (the Swiss Inititative for Systems Biology), and by
a SNSF Early Postdoc.Mobility Fellowship grant P2EZP2_148797.\r\n"
author:
- first_name: Bernhard
full_name: Geiger, Bernhard
last_name: Geiger
- first_name: Tatjana
full_name: Petrov, Tatjana
id: 3D5811FC-F248-11E8-B48F-1D18A9856A87
last_name: Petrov
orcid: 0000-0002-9041-0905
- first_name: Gernot
full_name: Kubin, Gernot
last_name: Kubin
- first_name: Heinz
full_name: Koeppl, Heinz
last_name: Koeppl
citation:
ama: Geiger B, Petrov T, Kubin G, Koeppl H. Optimal Kullback-Leibler aggregation
via information bottleneck. IEEE Transactions on Automatic Control. 2015;60(4):1010-1022.
doi:10.1109/TAC.2014.2364971
apa: Geiger, B., Petrov, T., Kubin, G., & Koeppl, H. (2015). Optimal Kullback-Leibler
aggregation via information bottleneck. IEEE Transactions on Automatic Control.
IEEE. https://doi.org/10.1109/TAC.2014.2364971
chicago: Geiger, Bernhard, Tatjana Petrov, Gernot Kubin, and Heinz Koeppl. “Optimal
Kullback-Leibler Aggregation via Information Bottleneck.” IEEE Transactions
on Automatic Control. IEEE, 2015. https://doi.org/10.1109/TAC.2014.2364971.
ieee: B. Geiger, T. Petrov, G. Kubin, and H. Koeppl, “Optimal Kullback-Leibler aggregation
via information bottleneck,” IEEE Transactions on Automatic Control, vol.
60, no. 4. IEEE, pp. 1010–1022, 2015.
ista: Geiger B, Petrov T, Kubin G, Koeppl H. 2015. Optimal Kullback-Leibler aggregation
via information bottleneck. IEEE Transactions on Automatic Control. 60(4), 1010–1022.
mla: Geiger, Bernhard, et al. “Optimal Kullback-Leibler Aggregation via Information
Bottleneck.” IEEE Transactions on Automatic Control, vol. 60, no. 4, IEEE,
2015, pp. 1010–22, doi:10.1109/TAC.2014.2364971.
short: B. Geiger, T. Petrov, G. Kubin, H. Koeppl, IEEE Transactions on Automatic
Control 60 (2015) 1010–1022.
date_created: 2018-12-11T11:54:18Z
date_published: 2015-04-01T00:00:00Z
date_updated: 2021-01-12T06:53:33Z
day: '01'
department:
- _id: CaGu
- _id: ToHe
doi: 10.1109/TAC.2014.2364971
intvolume: ' 60'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1304.6603
month: '04'
oa: 1
oa_version: Preprint
page: 1010 - 1022
publication: IEEE Transactions on Automatic Control
publication_identifier:
issn:
- 0018-9286
publication_status: published
publisher: IEEE
publist_id: '5262'
quality_controlled: '1'
scopus_import: 1
status: public
title: Optimal Kullback-Leibler aggregation via information bottleneck
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 60
year: '2015'
...
---
_id: '9712'
article_processing_charge: No
author:
- first_name: Murat
full_name: Tugrul, Murat
id: 37C323C6-F248-11E8-B48F-1D18A9856A87
last_name: Tugrul
orcid: 0000-0002-8523-0758
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
citation:
ama: Tugrul M, Paixao T, Barton NH, Tkačik G. Other fitness models for comparison
& for interacting TFBSs. 2015. doi:10.1371/journal.pgen.1005639.s001
apa: Tugrul, M., Paixao, T., Barton, N. H., & Tkačik, G. (2015). Other fitness
models for comparison & for interacting TFBSs. Public Library of Science.
https://doi.org/10.1371/journal.pgen.1005639.s001
chicago: Tugrul, Murat, Tiago Paixao, Nicholas H Barton, and Gašper Tkačik. “Other
Fitness Models for Comparison & for Interacting TFBSs.” Public Library of
Science, 2015. https://doi.org/10.1371/journal.pgen.1005639.s001.
ieee: M. Tugrul, T. Paixao, N. H. Barton, and G. Tkačik, “Other fitness models for
comparison & for interacting TFBSs.” Public Library of Science, 2015.
ista: Tugrul M, Paixao T, Barton NH, Tkačik G. 2015. Other fitness models for comparison
& for interacting TFBSs, Public Library of Science, 10.1371/journal.pgen.1005639.s001.
mla: Tugrul, Murat, et al. Other Fitness Models for Comparison & for Interacting
TFBSs. Public Library of Science, 2015, doi:10.1371/journal.pgen.1005639.s001.
short: M. Tugrul, T. Paixao, N.H. Barton, G. Tkačik, (2015).
date_created: 2021-07-23T12:00:37Z
date_published: 2015-11-06T00:00:00Z
date_updated: 2023-02-23T10:09:08Z
day: '06'
department:
- _id: NiBa
- _id: CaGu
- _id: GaTk
doi: 10.1371/journal.pgen.1005639.s001
month: '11'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '1666'
relation: used_in_publication
status: public
status: public
title: Other fitness models for comparison & for interacting TFBSs
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2015'
...
---
_id: '9719'
abstract:
- lang: eng
text: Parasitism creates selection for resistance mechanisms in host populations
and is hypothesized to promote increased host evolvability. However, the influence
of these traits on host evolution when parasites are no longer present is unclear.
We used experimental evolution and whole-genome sequencing of Escherichia coli
to determine the effects of past and present exposure to parasitic viruses (phages)
on the spread of mutator alleles, resistance, and bacterial competitive fitness.
We found that mutator alleles spread rapidly during adaptation to any of four
different phage species, and this pattern was even more pronounced with multiple
phages present simultaneously. However, hypermutability did not detectably accelerate
adaptation in the absence of phages and recovery of fitness costs associated with
resistance. Several lineages evolved phage resistance through elevated mucoidy,
and during subsequent evolution in phage-free conditions they rapidly reverted
to nonmucoid, phage-susceptible phenotypes. Genome sequencing revealed that this
phenotypic reversion was achieved by additional genetic changes rather than by
genotypic reversion of the initial resistance mutations. Insertion sequence (IS)
elements played a key role in both the acquisition of resistance and adaptation
in the absence of parasites; unlike single nucleotide polymorphisms, IS insertions
were not more frequent in mutator lineages. Our results provide a genetic explanation
for rapid reversion of mucoidy, a phenotype observed in other bacterial species
including human pathogens. Moreover, this demonstrates that the types of genetic
change underlying adaptation to fitness costs, and consequently the impact of
evolvability mechanisms such as increased point-mutation rates, depend critically
on the mechanism of resistance.
article_processing_charge: No
author:
- first_name: Sébastien
full_name: Wielgoss, Sébastien
last_name: Wielgoss
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Anna M.
full_name: Bischofberger, Anna M.
last_name: Bischofberger
- first_name: Alex R.
full_name: Hall, Alex R.
last_name: Hall
citation:
ama: 'Wielgoss S, Bergmiller T, Bischofberger AM, Hall AR. Data from: Adaptation
to parasites and costs of parasite resistance in mutator and non-mutator bacteria.
2015. doi:10.5061/dryad.cj910'
apa: 'Wielgoss, S., Bergmiller, T., Bischofberger, A. M., & Hall, A. R. (2015).
Data from: Adaptation to parasites and costs of parasite resistance in mutator
and non-mutator bacteria. Dryad. https://doi.org/10.5061/dryad.cj910'
chicago: 'Wielgoss, Sébastien, Tobias Bergmiller, Anna M. Bischofberger, and Alex
R. Hall. “Data from: Adaptation to Parasites and Costs of Parasite Resistance
in Mutator and Non-Mutator Bacteria.” Dryad, 2015. https://doi.org/10.5061/dryad.cj910.'
ieee: 'S. Wielgoss, T. Bergmiller, A. M. Bischofberger, and A. R. Hall, “Data from:
Adaptation to parasites and costs of parasite resistance in mutator and non-mutator
bacteria.” Dryad, 2015.'
ista: 'Wielgoss S, Bergmiller T, Bischofberger AM, Hall AR. 2015. Data from: Adaptation
to parasites and costs of parasite resistance in mutator and non-mutator bacteria,
Dryad, 10.5061/dryad.cj910.'
mla: 'Wielgoss, Sébastien, et al. Data from: Adaptation to Parasites and Costs
of Parasite Resistance in Mutator and Non-Mutator Bacteria. Dryad, 2015, doi:10.5061/dryad.cj910.'
short: S. Wielgoss, T. Bergmiller, A.M. Bischofberger, A.R. Hall, (2015).
date_created: 2021-07-26T08:44:04Z
date_published: 2015-12-21T00:00:00Z
date_updated: 2023-09-05T13:46:04Z
day: '21'
department:
- _id: CaGu
doi: 10.5061/dryad.cj910
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.cj910
month: '12'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '5749'
relation: used_in_publication
status: public
status: public
title: 'Data from: Adaptation to parasites and costs of parasite resistance in mutator
and non-mutator bacteria'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2015'
...
---
_id: '1666'
abstract:
- lang: eng
text: Evolution of gene regulation is crucial for our understanding of the phenotypic
differences between species, populations and individuals. Sequence-specific binding
of transcription factors to the regulatory regions on the DNA is a key regulatory
mechanism that determines gene expression and hence heritable phenotypic variation.
We use a biophysical model for directional selection on gene expression to estimate
the rates of gain and loss of transcription factor binding sites (TFBS) in finite
populations under both point and insertion/deletion mutations. Our results show
that these rates are typically slow for a single TFBS in an isolated DNA region,
unless the selection is extremely strong. These rates decrease drastically with
increasing TFBS length or increasingly specific protein-DNA interactions, making
the evolution of sites longer than ∼ 10 bp unlikely on typical eukaryotic speciation
timescales. Similarly, evolution converges to the stationary distribution of binding
sequences very slowly, making the equilibrium assumption questionable. The availability
of longer regulatory sequences in which multiple binding sites can evolve simultaneously,
the presence of “pre-sites” or partially decayed old sites in the initial sequence,
and biophysical cooperativity between transcription factors, can all facilitate
gain of TFBS and reconcile theoretical calculations with timescales inferred from
comparative genomics.
author:
- first_name: Murat
full_name: Tugrul, Murat
id: 37C323C6-F248-11E8-B48F-1D18A9856A87
last_name: Tugrul
orcid: 0000-0002-8523-0758
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: Tugrul M, Paixao T, Barton NH, Tkačik G. Dynamics of transcription factor binding
site evolution. PLoS Genetics. 2015;11(11). doi:10.1371/journal.pgen.1005639
apa: Tugrul, M., Paixao, T., Barton, N. H., & Tkačik, G. (2015). Dynamics of
transcription factor binding site evolution. PLoS Genetics. Public Library
of Science. https://doi.org/10.1371/journal.pgen.1005639
chicago: Tugrul, Murat, Tiago Paixao, Nicholas H Barton, and Gašper Tkačik. “Dynamics
of Transcription Factor Binding Site Evolution.” PLoS Genetics. Public
Library of Science, 2015. https://doi.org/10.1371/journal.pgen.1005639.
ieee: M. Tugrul, T. Paixao, N. H. Barton, and G. Tkačik, “Dynamics of transcription
factor binding site evolution,” PLoS Genetics, vol. 11, no. 11. Public
Library of Science, 2015.
ista: Tugrul M, Paixao T, Barton NH, Tkačik G. 2015. Dynamics of transcription factor
binding site evolution. PLoS Genetics. 11(11).
mla: Tugrul, Murat, et al. “Dynamics of Transcription Factor Binding Site Evolution.”
PLoS Genetics, vol. 11, no. 11, Public Library of Science, 2015, doi:10.1371/journal.pgen.1005639.
short: M. Tugrul, T. Paixao, N.H. Barton, G. Tkačik, PLoS Genetics 11 (2015).
date_created: 2018-12-11T11:53:21Z
date_published: 2015-11-06T00:00:00Z
date_updated: 2023-09-07T11:53:49Z
day: '06'
ddc:
- '576'
department:
- _id: NiBa
- _id: CaGu
- _id: GaTk
doi: 10.1371/journal.pgen.1005639
ec_funded: 1
file:
- access_level: open_access
checksum: a4e72fca5ccf40ddacf4d08c8e46b554
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:07:58Z
date_updated: 2020-07-14T12:45:10Z
file_id: '4657'
file_name: IST-2016-463-v1+1_journal.pgen.1005639.pdf
file_size: 2580778
relation: main_file
file_date_updated: 2020-07-14T12:45:10Z
has_accepted_license: '1'
intvolume: ' 11'
issue: '11'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: PLoS Genetics
publication_status: published
publisher: Public Library of Science
publist_id: '5483'
pubrep_id: '463'
quality_controlled: '1'
related_material:
record:
- id: '9712'
relation: research_data
status: public
- id: '1131'
relation: dissertation_contains
status: public
scopus_import: 1
status: public
title: Dynamics of transcription factor binding site evolution
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 11
year: '2015'
...
---
_id: '1835'
abstract:
- lang: eng
text: The behaviour of gene regulatory networks (GRNs) is typically analysed using
simulation-based statistical testing-like methods. In this paper, we demonstrate
that we can replace this approach by a formal verification-like method that gives
higher assurance and scalability. We focus on Wagner’s weighted GRN model with
varying weights, which is used in evolutionary biology. In the model, weight parameters
represent the gene interaction strength that may change due to genetic mutations.
For a property of interest, we synthesise the constraints over the parameter space
that represent the set of GRNs satisfying the property. We experimentally show
that our parameter synthesis procedure computes the mutational robustness of GRNs
–an important problem of interest in evolutionary biology– more efficiently than
the classical simulation method. We specify the property in linear temporal logics.
We employ symbolic bounded model checking and SMT solving to compute the space
of GRNs that satisfy the property, which amounts to synthesizing a set of linear
constraints on the weights.
acknowledgement: "SNSF Early Postdoc.Mobility Fellowship, the grant number P2EZP2
148797.\r\n"
alternative_title:
- LNCS
author:
- first_name: Mirco
full_name: Giacobbe, Mirco
id: 3444EA5E-F248-11E8-B48F-1D18A9856A87
last_name: Giacobbe
orcid: 0000-0001-8180-0904
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Ashutosh
full_name: Gupta, Ashutosh
id: 335E5684-F248-11E8-B48F-1D18A9856A87
last_name: Gupta
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Tatjana
full_name: Petrov, Tatjana
id: 3D5811FC-F248-11E8-B48F-1D18A9856A87
last_name: Petrov
orcid: 0000-0002-9041-0905
citation:
ama: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. Model checking
gene regulatory networks. 2015;9035:469-483. doi:10.1007/978-3-662-46681-0_47
apa: 'Giacobbe, M., Guet, C. C., Gupta, A., Henzinger, T. A., Paixao, T., &
Petrov, T. (2015). Model checking gene regulatory networks. Presented at the TACAS:
Tools and Algorithms for the Construction and Analysis of Systems, London, United
Kingdom: Springer. https://doi.org/10.1007/978-3-662-46681-0_47'
chicago: Giacobbe, Mirco, Calin C Guet, Ashutosh Gupta, Thomas A Henzinger, Tiago
Paixao, and Tatjana Petrov. “Model Checking Gene Regulatory Networks.” Lecture
Notes in Computer Science. Springer, 2015. https://doi.org/10.1007/978-3-662-46681-0_47.
ieee: M. Giacobbe, C. C. Guet, A. Gupta, T. A. Henzinger, T. Paixao, and T. Petrov,
“Model checking gene regulatory networks,” vol. 9035. Springer, pp. 469–483, 2015.
ista: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. 2015. Model
checking gene regulatory networks. 9035, 469–483.
mla: Giacobbe, Mirco, et al. Model Checking Gene Regulatory Networks. Vol.
9035, Springer, 2015, pp. 469–83, doi:10.1007/978-3-662-46681-0_47.
short: M. Giacobbe, C.C. Guet, A. Gupta, T.A. Henzinger, T. Paixao, T. Petrov, 9035
(2015) 469–483.
conference:
end_date: 2015-04-18
location: London, United Kingdom
name: 'TACAS: Tools and Algorithms for the Construction and Analysis of Systems'
start_date: 2015-04-11
date_created: 2018-12-11T11:54:16Z
date_published: 2015-04-01T00:00:00Z
date_updated: 2023-09-20T11:06:03Z
day: '01'
department:
- _id: ToHe
- _id: CaGu
- _id: NiBa
doi: 10.1007/978-3-662-46681-0_47
ec_funded: 1
intvolume: ' 9035'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1410.7704
month: '04'
oa: 1
oa_version: Preprint
page: 469 - 483
project:
- _id: 25EE3708-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '267989'
name: Quantitative Reactive Modeling
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication_status: published
publisher: Springer
publist_id: '5267'
quality_controlled: '1'
related_material:
record:
- id: '1351'
relation: later_version
status: public
scopus_import: 1
series_title: Lecture Notes in Computer Science
status: public
title: Model checking gene regulatory networks
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 9035
year: '2015'
...
---
_id: '1894'
abstract:
- lang: eng
text: 'Background: Bacterial Dsb enzymes are involved in the oxidative folding of
many proteins, through the formation of disulfide bonds between their cysteine
residues. The Dsb protein network has been well characterized in cells of the
model microorganism Escherichia coli. To gain insight into the functioning of
the Dsb system in epsilon-Proteobacteria, where it plays an important role in
the colonization process, we studied two homologs of the main Escherichia coli
Dsb oxidase (EcDsbA) that are present in the cells of the enteric pathogen Campylobacter
jejuni, the most frequently reported bacterial cause of human enteritis in the
world. Methods and Results: Phylogenetic analysis suggests the horizontal transfer
of the epsilon-Proteobacterial DsbAs from a common ancestor to gamma-Proteobacteria,
which then gave rise to the DsbL lineage. Phenotype and enzymatic assays suggest
that the two C. jejuni DsbAs play different roles in bacterial cells and have
divergent substrate spectra. CjDsbA1 is essential for the motility and autoagglutination
phenotypes, while CjDsbA2 has no impact on those processes. CjDsbA1 plays a critical
role in the oxidative folding that ensures the activity of alkaline phosphatase
CjPhoX, whereas CjDsbA2 is crucial for the activity of arylsulfotransferase CjAstA,
encoded within the dsbA2-dsbB-astA operon. Conclusions: Our results show that
CjDsbA1 is the primary thiol-oxidoreductase affecting life processes associated
with bacterial spread and host colonization, as well as ensuring the oxidative
folding of particular protein substrates. In contrast, CjDsbA2 activity does not
affect the same processes and so far its oxidative folding activity has been demonstrated
for one substrate, arylsulfotransferase CjAstA. The results suggest the cooperation
between CjDsbA2 and CjDsbB. In the case of the CjDsbA1, this cooperation is not
exclusive and there is probably another protein to be identified in C. jejuni
cells that acts to re-oxidize CjDsbA1. Altogether the data presented here constitute
the considerable insight to the Epsilonproteobacterial Dsb systems, which have
been poorly understood so far.'
article_number: e106247
author:
- first_name: Anna
full_name: Grabowska, Anna
last_name: Grabowska
- first_name: Ewa
full_name: Wywiał, Ewa
last_name: Wywiał
- first_name: Stanislaw
full_name: Dunin Horkawicz, Stanislaw
last_name: Dunin Horkawicz
- first_name: Anna
full_name: Łasica, Anna
last_name: Łasica
- first_name: Marc
full_name: Wösten, Marc
last_name: Wösten
- first_name: Anna A
full_name: Nagy-Staron, Anna A
id: 3ABC5BA6-F248-11E8-B48F-1D18A9856A87
last_name: Nagy-Staron
- first_name: Renata
full_name: Godlewska, Renata
last_name: Godlewska
- first_name: Katarzyna
full_name: Bocian Ostrzycka, Katarzyna
last_name: Bocian Ostrzycka
- first_name: Katarzyna
full_name: Pieńkowska, Katarzyna
last_name: Pieńkowska
- first_name: Paweł
full_name: Łaniewski, Paweł
last_name: Łaniewski
- first_name: Janusz
full_name: Bujnicki, Janusz
last_name: Bujnicki
- first_name: Jos
full_name: Van Putten, Jos
last_name: Van Putten
- first_name: Elzbieta
full_name: Jagusztyn Krynicka, Elzbieta
last_name: Jagusztyn Krynicka
citation:
ama: Grabowska A, Wywiał E, Dunin Horkawicz S, et al. Functional and bioinformatics
analysis of two Campylobacter jejuni homologs of the thiol-disulfide oxidoreductase,
DsbA. PLoS One. 2014;9(9). doi:10.1371/journal.pone.0106247
apa: Grabowska, A., Wywiał, E., Dunin Horkawicz, S., Łasica, A., Wösten, M., Nagy-Staron,
A. A., … Jagusztyn Krynicka, E. (2014). Functional and bioinformatics analysis
of two Campylobacter jejuni homologs of the thiol-disulfide oxidoreductase, DsbA.
PLoS One. Public Library of Science. https://doi.org/10.1371/journal.pone.0106247
chicago: Grabowska, Anna, Ewa Wywiał, Stanislaw Dunin Horkawicz, Anna Łasica, Marc
Wösten, Anna A Nagy-Staron, Renata Godlewska, et al. “Functional and Bioinformatics
Analysis of Two Campylobacter Jejuni Homologs of the Thiol-Disulfide Oxidoreductase,
DsbA.” PLoS One. Public Library of Science, 2014. https://doi.org/10.1371/journal.pone.0106247.
ieee: A. Grabowska et al., “Functional and bioinformatics analysis of two
Campylobacter jejuni homologs of the thiol-disulfide oxidoreductase, DsbA,” PLoS
One, vol. 9, no. 9. Public Library of Science, 2014.
ista: Grabowska A, Wywiał E, Dunin Horkawicz S, Łasica A, Wösten M, Nagy-Staron
AA, Godlewska R, Bocian Ostrzycka K, Pieńkowska K, Łaniewski P, Bujnicki J, Van
Putten J, Jagusztyn Krynicka E. 2014. Functional and bioinformatics analysis of
two Campylobacter jejuni homologs of the thiol-disulfide oxidoreductase, DsbA.
PLoS One. 9(9), e106247.
mla: Grabowska, Anna, et al. “Functional and Bioinformatics Analysis of Two Campylobacter
Jejuni Homologs of the Thiol-Disulfide Oxidoreductase, DsbA.” PLoS One,
vol. 9, no. 9, e106247, Public Library of Science, 2014, doi:10.1371/journal.pone.0106247.
short: A. Grabowska, E. Wywiał, S. Dunin Horkawicz, A. Łasica, M. Wösten, A.A. Nagy-Staron,
R. Godlewska, K. Bocian Ostrzycka, K. Pieńkowska, P. Łaniewski, J. Bujnicki, J.
Van Putten, E. Jagusztyn Krynicka, PLoS One 9 (2014).
date_created: 2018-12-11T11:54:35Z
date_published: 2014-09-02T00:00:00Z
date_updated: 2021-01-12T06:53:54Z
day: '02'
ddc:
- '570'
department:
- _id: CaGu
doi: 10.1371/journal.pone.0106247
file:
- access_level: open_access
checksum: 7d02c3da7f72b82bb5d7932d80c3251f
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:16:19Z
date_updated: 2020-07-14T12:45:20Z
file_id: '5205'
file_name: IST-2016-438-v1+1_journal.pone.0106247.pdf
file_size: 4248801
relation: main_file
file_date_updated: 2020-07-14T12:45:20Z
has_accepted_license: '1'
intvolume: ' 9'
issue: '9'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Published Version
publication: PLoS One
publication_status: published
publisher: Public Library of Science
publist_id: '5201'
pubrep_id: '438'
quality_controlled: '1'
scopus_import: 1
status: public
title: Functional and bioinformatics analysis of two Campylobacter jejuni homologs
of the thiol-disulfide oxidoreductase, DsbA
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 9
year: '2014'
...
---
_id: '2056'
abstract:
- lang: eng
text: 'We consider a continuous-time Markov chain (CTMC) whose state space is partitioned
into aggregates, and each aggregate is assigned a probability measure. A sufficient
condition for defining a CTMC over the aggregates is presented as a variant of
weak lumpability, which also characterizes that the measure over the original
process can be recovered from that of the aggregated one. We show how the applicability
of de-aggregation depends on the initial distribution. The application section
is devoted to illustrate how the developed theory aids in reducing CTMC models
of biochemical systems particularly in connection to protein-protein interactions.
We assume that the model is written by a biologist in form of site-graph-rewrite
rules. Site-graph-rewrite rules compactly express that, often, only a local context
of a protein (instead of a full molecular species) needs to be in a certain configuration
in order to trigger a reaction event. This observation leads to suitable aggregate
Markov chains with smaller state spaces, thereby providing sufficient reduction
in computational complexity. This is further exemplified in two case studies:
simple unbounded polymerization and early EGFR/insulin crosstalk.'
acknowledgement: T. Petrov is supported by SystemsX.ch—the Swiss Inititative for Systems
Biology.
author:
- first_name: Arnab
full_name: Ganguly, Arnab
last_name: Ganguly
- first_name: Tatjana
full_name: Petrov, Tatjana
id: 3D5811FC-F248-11E8-B48F-1D18A9856A87
last_name: Petrov
orcid: 0000-0002-9041-0905
- first_name: Heinz
full_name: Koeppl, Heinz
last_name: Koeppl
citation:
ama: Ganguly A, Petrov T, Koeppl H. Markov chain aggregation and its applications
to combinatorial reaction networks. Journal of Mathematical Biology. 2014;69(3):767-797.
doi:10.1007/s00285-013-0738-7
apa: Ganguly, A., Petrov, T., & Koeppl, H. (2014). Markov chain aggregation
and its applications to combinatorial reaction networks. Journal of Mathematical
Biology. Springer. https://doi.org/10.1007/s00285-013-0738-7
chicago: Ganguly, Arnab, Tatjana Petrov, and Heinz Koeppl. “Markov Chain Aggregation
and Its Applications to Combinatorial Reaction Networks.” Journal of Mathematical
Biology. Springer, 2014. https://doi.org/10.1007/s00285-013-0738-7.
ieee: A. Ganguly, T. Petrov, and H. Koeppl, “Markov chain aggregation and its applications
to combinatorial reaction networks,” Journal of Mathematical Biology, vol.
69, no. 3. Springer, pp. 767–797, 2014.
ista: Ganguly A, Petrov T, Koeppl H. 2014. Markov chain aggregation and its applications
to combinatorial reaction networks. Journal of Mathematical Biology. 69(3), 767–797.
mla: Ganguly, Arnab, et al. “Markov Chain Aggregation and Its Applications to Combinatorial
Reaction Networks.” Journal of Mathematical Biology, vol. 69, no. 3, Springer,
2014, pp. 767–97, doi:10.1007/s00285-013-0738-7.
short: A. Ganguly, T. Petrov, H. Koeppl, Journal of Mathematical Biology 69 (2014)
767–797.
date_created: 2018-12-11T11:55:28Z
date_published: 2014-11-20T00:00:00Z
date_updated: 2021-01-12T06:55:01Z
day: '20'
department:
- _id: CaGu
- _id: ToHe
doi: 10.1007/s00285-013-0738-7
intvolume: ' 69'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1303.4532
month: '11'
oa: 1
oa_version: Submitted Version
page: 767 - 797
publication: Journal of Mathematical Biology
publication_status: published
publisher: Springer
publist_id: '4990'
quality_controlled: '1'
scopus_import: 1
status: public
title: Markov chain aggregation and its applications to combinatorial reaction networks
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 69
year: '2014'
...
---
_id: '2083'
abstract:
- lang: eng
text: Understanding the effects of sex and migration on adaptation to novel environments
remains a key problem in evolutionary biology. Using a single-cell alga Chlamydomonas
reinhardtii, we investigated how sex and migration affected rates of evolutionary
rescue in a sink environment, and subsequent changes in fitness following evolutionary
rescue. We show that sex and migration affect both the rate of evolutionary rescue
and subsequent adaptation. However, their combined effects change as the populations
adapt to a sink habitat. Both sex and migration independently increased rates
of evolutionary rescue, but the effect of sex on subsequent fitness improvements,
following initial rescue, changed with migration, as sex was beneficial in the
absence of migration but constraining adaptation when combined with migration.
These results suggest that sex and migration are beneficial during the initial
stages of adaptation, but can become detrimental as the population adapts to its
environment.
acknowledgement: The authors are grateful to the Leverhulme Trust (F/00 215/AW) for
funding this work.
article_processing_charge: No
article_type: original
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Andrew
full_name: Morgan, Andrew
last_name: Morgan
- first_name: Paul
full_name: Neve, Paul
last_name: Neve
- first_name: Nick
full_name: Colegrave, Nick
last_name: Colegrave
citation:
ama: Lagator M, Morgan A, Neve P, Colegrave N. Role of sex and migration in adaptation
to sink environments. Evolution. 2014;68(8):2296-2305. doi:10.1111/evo.12440
apa: Lagator, M., Morgan, A., Neve, P., & Colegrave, N. (2014). Role of sex
and migration in adaptation to sink environments. Evolution. Wiley. https://doi.org/10.1111/evo.12440
chicago: Lagator, Mato, Andrew Morgan, Paul Neve, and Nick Colegrave. “Role of Sex
and Migration in Adaptation to Sink Environments.” Evolution. Wiley, 2014.
https://doi.org/10.1111/evo.12440.
ieee: M. Lagator, A. Morgan, P. Neve, and N. Colegrave, “Role of sex and migration
in adaptation to sink environments,” Evolution, vol. 68, no. 8. Wiley,
pp. 2296–2305, 2014.
ista: Lagator M, Morgan A, Neve P, Colegrave N. 2014. Role of sex and migration
in adaptation to sink environments. Evolution. 68(8), 2296–2305.
mla: Lagator, Mato, et al. “Role of Sex and Migration in Adaptation to Sink Environments.”
Evolution, vol. 68, no. 8, Wiley, 2014, pp. 2296–305, doi:10.1111/evo.12440.
short: M. Lagator, A. Morgan, P. Neve, N. Colegrave, Evolution 68 (2014) 2296–2305.
date_created: 2018-12-11T11:55:36Z
date_published: 2014-04-25T00:00:00Z
date_updated: 2023-02-23T14:06:51Z
day: '25'
ddc:
- '570'
department:
- _id: CaGu
doi: 10.1111/evo.12440
file:
- access_level: open_access
checksum: 8d459b07e4a11bb5fde92d969184fe48
content_type: application/pdf
creator: dernst
date_created: 2020-05-14T16:40:31Z
date_updated: 2020-07-14T12:45:28Z
file_id: '7845'
file_name: 2014_Evolution_Lagator.pdf
file_size: 467254
relation: main_file
file_date_updated: 2020-07-14T12:45:28Z
has_accepted_license: '1'
intvolume: ' 68'
issue: '8'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 2296 - 2305
publication: Evolution
publication_status: published
publisher: Wiley
publist_id: '4954'
quality_controlled: '1'
related_material:
record:
- id: '9747'
relation: research_data
status: public
scopus_import: 1
status: public
title: Role of sex and migration in adaptation to sink environments
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 68
year: '2014'
...
---
_id: '9747'
abstract:
- lang: eng
text: Understanding the effects of sex and migration on adaptation to novel environments
remains a key problem in evolutionary biology. Using a single-cell alga Chlamydomonas
reinhardtii, we investigated how sex and migration affected rates of evolutionary
rescue in a sink environment, and subsequent changes in fitness following evolutionary
rescue. We show that sex and migration affect both the rate of evolutionary rescue
and subsequent adaptation. However, their combined effects change as the populations
adapt to a sink habitat. Both sex and migration independently increased rates
of evolutionary rescue, but the effect of sex on subsequent fitness improvements,
following initial rescue, changed with migration, as sex was beneficial in the
absence of migration but constraining adaptation when combined with migration.
These results suggest that sex and migration are beneficial during the initial
stages of adaptation, but can become detrimental as the population adapts to its
environment.
article_processing_charge: No
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Andrew
full_name: Morgan, Andrew
last_name: Morgan
- first_name: Paul
full_name: Neve, Paul
last_name: Neve
- first_name: Nick
full_name: Colegrave, Nick
last_name: Colegrave
citation:
ama: 'Lagator M, Morgan A, Neve P, Colegrave N. Data from: Role of sex and migration
in adaptation to sink environments. 2014. doi:10.5061/dryad.s42n1'
apa: 'Lagator, M., Morgan, A., Neve, P., & Colegrave, N. (2014). Data from:
Role of sex and migration in adaptation to sink environments. Dryad. https://doi.org/10.5061/dryad.s42n1'
chicago: 'Lagator, Mato, Andrew Morgan, Paul Neve, and Nick Colegrave. “Data from:
Role of Sex and Migration in Adaptation to Sink Environments.” Dryad, 2014. https://doi.org/10.5061/dryad.s42n1.'
ieee: 'M. Lagator, A. Morgan, P. Neve, and N. Colegrave, “Data from: Role of sex
and migration in adaptation to sink environments.” Dryad, 2014.'
ista: 'Lagator M, Morgan A, Neve P, Colegrave N. 2014. Data from: Role of sex and
migration in adaptation to sink environments, Dryad, 10.5061/dryad.s42n1.'
mla: 'Lagator, Mato, et al. Data from: Role of Sex and Migration in Adaptation
to Sink Environments. Dryad, 2014, doi:10.5061/dryad.s42n1.'
short: M. Lagator, A. Morgan, P. Neve, N. Colegrave, (2014).
date_created: 2021-07-28T15:32:55Z
date_published: 2014-04-17T00:00:00Z
date_updated: 2023-02-23T10:27:31Z
day: '17'
department:
- _id: CaGu
doi: 10.5061/dryad.s42n1
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.s42n1
month: '04'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '2083'
relation: used_in_publication
status: public
status: public
title: 'Data from: Role of sex and migration in adaptation to sink environments'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2014'
...
---
_id: '2036'
abstract:
- lang: eng
text: ' In rapidly changing environments, selection history may impact the dynamics
of adaptation. Mutations selected in one environment may result in pleiotropic
fitness trade-offs in subsequent novel environments, slowing the rates of adaptation.
Epistatic interactions between mutations selected in sequential stressful environments
may slow or accelerate subsequent rates of adaptation, depending on the nature
of that interaction. We explored the dynamics of adaptation during sequential
exposure to herbicides with different modes of action in Chlamydomonas reinhardtii.
Evolution of resistance to two of the herbicides was largely independent of selection
history. For carbetamide, previous adaptation to other herbicide modes of action
positively impacted the likelihood of adaptation to this herbicide. Furthermore,
while adaptation to all individual herbicides was associated with pleiotropic
fitness costs in stress-free environments, we observed that accumulation of resistance
mechanisms was accompanied by a reduction in overall fitness costs. We suggest
that antagonistic epistasis may be a driving mechanism that enables populations
to more readily adapt in novel environments. These findings highlight the potential
for sequences of xenobiotics to facilitate the rapid evolution of multiple-drug
and -pesticide resistance, as well as the potential for epistatic interactions
between adaptive mutations to facilitate evolutionary rescue in rapidly changing
environments. '
acknowledgement: The project was supported by Leverhulme Trust.
article_number: '20141679'
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Nick
full_name: Colegrave, Nick
last_name: Colegrave
- first_name: Paul
full_name: Neve, Paul
last_name: Neve
citation:
ama: Lagator M, Colegrave N, Neve P. Selection history and epistatic interactions
impact dynamics of adaptation to novel environmental stresses. Proceedings
of the Royal Society of London Series B Biological Sciences. 2014;281(1794).
doi:10.1098/rspb.2014.1679
apa: Lagator, M., Colegrave, N., & Neve, P. (2014). Selection history and epistatic
interactions impact dynamics of adaptation to novel environmental stresses. Proceedings
of the Royal Society of London Series B Biological Sciences. Royal Society,
The. https://doi.org/10.1098/rspb.2014.1679
chicago: Lagator, Mato, Nick Colegrave, and Paul Neve. “Selection History and Epistatic
Interactions Impact Dynamics of Adaptation to Novel Environmental Stresses.” Proceedings
of the Royal Society of London Series B Biological Sciences. Royal Society,
The, 2014. https://doi.org/10.1098/rspb.2014.1679.
ieee: M. Lagator, N. Colegrave, and P. Neve, “Selection history and epistatic interactions
impact dynamics of adaptation to novel environmental stresses,” Proceedings
of the Royal Society of London Series B Biological Sciences, vol. 281, no.
1794. Royal Society, The, 2014.
ista: Lagator M, Colegrave N, Neve P. 2014. Selection history and epistatic interactions
impact dynamics of adaptation to novel environmental stresses. Proceedings of
the Royal Society of London Series B Biological Sciences. 281(1794), 20141679.
mla: Lagator, Mato, et al. “Selection History and Epistatic Interactions Impact
Dynamics of Adaptation to Novel Environmental Stresses.” Proceedings of the
Royal Society of London Series B Biological Sciences, vol. 281, no. 1794,
20141679, Royal Society, The, 2014, doi:10.1098/rspb.2014.1679.
short: M. Lagator, N. Colegrave, P. Neve, Proceedings of the Royal Society of London
Series B Biological Sciences 281 (2014).
date_created: 2018-12-11T11:55:21Z
date_published: 2014-09-17T00:00:00Z
date_updated: 2023-02-23T14:06:44Z
day: '17'
department:
- _id: CaGu
doi: 10.1098/rspb.2014.1679
intvolume: ' 281'
issue: '1794'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4211454/
month: '09'
oa: 1
oa_version: Submitted Version
publication: Proceedings of the Royal Society of London Series B Biological Sciences
publication_status: published
publisher: Royal Society, The
publist_id: '5019'
quality_controlled: '1'
related_material:
record:
- id: '9741'
relation: research_data
status: public
scopus_import: 1
status: public
title: Selection history and epistatic interactions impact dynamics of adaptation
to novel environmental stresses
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 281
year: '2014'
...
---
_id: '9741'
abstract:
- lang: eng
text: In rapidly changing environments, selection history may impact the dynamics
of adaptation. Mutations selected in one environment may result in pleiotropic
fitness trade-offs in subsequent novel environments, slowing the rates of adaptation.
Epistatic interactions between mutations selected in sequential stressful environments
may slow or accelerate subsequent rates of adaptation, depending on the nature
of that interaction. We explored the dynamics of adaptation during sequential
exposure to herbicides with different modes of action in Chlamydomonas reinhardtii.
Evolution of resistance to two of the herbicides was largely independent of selection
history. For carbetamide, previous adaptation to other herbicide modes of action
positively impacted the likelihood of adaptation to this herbicide. Furthermore,
while adaptation to all individual herbicides was associated with pleiotropic
fitness costs in stress-free environments, we observed that accumulation of resistance
mechanisms was accompanied by a reduction in overall fitness costs. We suggest
that antagonistic epistasis may be a driving mechanism that enables populations
to more readily adapt in novel environments. These findings highlight the potential
for sequences of xenobiotics to facilitate the rapid evolution of multiple-drug
and -pesticide resistance, as well as the potential for epistatic interactions
between adaptive mutations to facilitate evolutionary rescue in rapidly changing
environments.
article_processing_charge: No
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Nick
full_name: Colegrave, Nick
last_name: Colegrave
- first_name: Paul
full_name: Neve, Paul
last_name: Neve
citation:
ama: 'Lagator M, Colegrave N, Neve P. Data from: Selection history and epistatic
interactions impact dynamics of adaptation to novel environmental stresses. 2014.
doi:10.5061/dryad.85dn7'
apa: 'Lagator, M., Colegrave, N., & Neve, P. (2014). Data from: Selection history
and epistatic interactions impact dynamics of adaptation to novel environmental
stresses. Dryad. https://doi.org/10.5061/dryad.85dn7'
chicago: 'Lagator, Mato, Nick Colegrave, and Paul Neve. “Data from: Selection History
and Epistatic Interactions Impact Dynamics of Adaptation to Novel Environmental
Stresses.” Dryad, 2014. https://doi.org/10.5061/dryad.85dn7.'
ieee: 'M. Lagator, N. Colegrave, and P. Neve, “Data from: Selection history and
epistatic interactions impact dynamics of adaptation to novel environmental stresses.”
Dryad, 2014.'
ista: 'Lagator M, Colegrave N, Neve P. 2014. Data from: Selection history and epistatic
interactions impact dynamics of adaptation to novel environmental stresses, Dryad,
10.5061/dryad.85dn7.'
mla: 'Lagator, Mato, et al. Data from: Selection History and Epistatic Interactions
Impact Dynamics of Adaptation to Novel Environmental Stresses. Dryad, 2014,
doi:10.5061/dryad.85dn7.'
short: M. Lagator, N. Colegrave, P. Neve, (2014).
date_created: 2021-07-28T08:48:06Z
date_published: 2014-08-21T00:00:00Z
date_updated: 2023-02-23T10:25:31Z
day: '21'
department:
- _id: CaGu
doi: 10.5061/dryad.85dn7
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.85dn7
month: '08'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '2036'
relation: used_in_publication
status: public
status: public
title: 'Data from: Selection history and epistatic interactions impact dynamics of
adaptation to novel environmental stresses'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2014'
...
---
_id: '9931'
abstract:
- lang: eng
text: Gene duplication is important in evolution, because it provides new raw material
for evolutionary adaptations. Several existing hypotheses about the causes of
duplicate retention and diversification differ in their emphasis on gene dosage,
subfunctionalization, and neofunctionalization. Little experimental data exist
on the relative importance of gene expression changes and changes in coding regions
for the evolution of duplicate genes. Furthermore, we do not know how strongly
the environment could affect this importance. To address these questions, we performed
evolution experiments with the TEM-1 beta lactamase gene in Escherichia coli to
study the initial stages of duplicate gene evolution in the laboratory. We mimicked
tandem duplication by inserting two copies of the TEM-1 gene on the same plasmid.
We then subjected these copies to repeated cycles of mutagenesis and selection
in various environments that contained antibiotics in different combinations and
concentrations. Our experiments showed that gene dosage is the most important
factor in the initial stages of duplicate gene evolution, and overshadows the
importance of point mutations in the coding region.
acknowledgement: We thank the Functional Genomics Center Zurich for its service in
generating sequencing data, M. Ackermann and E. Hayden for helpful discussions,
A. de Visser for comments on earlier versions of this manuscript, and M. Moser for
help with quantitative PCR. This work was supported by Swiss National Science Foundation
(grant 315230–129708), as well as through the YeastX project of SystemsX.ch, and
the University Priority Research Program in Systems Biology at the University of
Zurich. RD acknowledges support from the Forschungskredit program of the University
of Zurich. The authors declare no conflict of interest.
article_processing_charge: No
article_type: original
author:
- first_name: Riddhiman
full_name: Dhar, Riddhiman
last_name: Dhar
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Andreas
full_name: Wagner, Andreas
last_name: Wagner
citation:
ama: Dhar R, Bergmiller T, Wagner A. Increased gene dosage plays a predominant role
in the initial stages of evolution of duplicate TEM-1 beta lactamase genes. Evolution.
2014;68(6):1775-1791. doi:10.1111/evo.12373
apa: Dhar, R., Bergmiller, T., & Wagner, A. (2014). Increased gene dosage plays
a predominant role in the initial stages of evolution of duplicate TEM-1 beta
lactamase genes. Evolution. Wiley. https://doi.org/10.1111/evo.12373
chicago: Dhar, Riddhiman, Tobias Bergmiller, and Andreas Wagner. “Increased Gene
Dosage Plays a Predominant Role in the Initial Stages of Evolution of Duplicate
TEM-1 Beta Lactamase Genes.” Evolution. Wiley, 2014. https://doi.org/10.1111/evo.12373.
ieee: R. Dhar, T. Bergmiller, and A. Wagner, “Increased gene dosage plays a predominant
role in the initial stages of evolution of duplicate TEM-1 beta lactamase genes,”
Evolution, vol. 68, no. 6. Wiley, pp. 1775–1791, 2014.
ista: Dhar R, Bergmiller T, Wagner A. 2014. Increased gene dosage plays a predominant
role in the initial stages of evolution of duplicate TEM-1 beta lactamase genes.
Evolution. 68(6), 1775–1791.
mla: Dhar, Riddhiman, et al. “Increased Gene Dosage Plays a Predominant Role in
the Initial Stages of Evolution of Duplicate TEM-1 Beta Lactamase Genes.” Evolution,
vol. 68, no. 6, Wiley, 2014, pp. 1775–91, doi:10.1111/evo.12373.
short: R. Dhar, T. Bergmiller, A. Wagner, Evolution 68 (2014) 1775–1791.
date_created: 2021-08-17T09:03:09Z
date_published: 2014-06-03T00:00:00Z
date_updated: 2023-02-23T14:13:27Z
day: '03'
department:
- _id: CaGu
doi: 10.1111/evo.12373
external_id:
pmid:
- '24495000'
intvolume: ' 68'
issue: '6'
language:
- iso: eng
month: '06'
oa_version: None
page: 1775-1791
pmid: 1
publication: Evolution
publication_identifier:
eissn:
- 1558-5646
issn:
- 0014-3820
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
record:
- id: '9932'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Increased gene dosage plays a predominant role in the initial stages of evolution
of duplicate TEM-1 beta lactamase genes
type: journal_article
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
volume: 68
year: '2014'
...
---
_id: '9932'
abstract:
- lang: eng
text: Gene duplication is important in evolution, because it provides new raw material
for evolutionary adaptations. Several existing hypotheses about the causes of
duplicate retention and diversification differ in their emphasis on gene dosage,
sub-functionalization, and neo-functionalization. Little experimental data exists
on the relative importance of gene expression changes and changes in coding regions
for the evolution of duplicate genes. Furthermore, we do not know how strongly
the environment could affect this importance. To address these questions, we performed
evolution experiments with the TEM-1 beta lactamase gene in E. coli to study the
initial stages of duplicate gene evolution in the laboratory. We mimicked tandem
duplication by inserting two copies of the TEM-1 gene on the same plasmid. We
then subjected these copies to repeated cycles of mutagenesis and selection in
various environments that contained antibiotics in different combinations and
concentrations. Our experiments showed that gene dosage is the most important
factor in the initial stages of duplicate gene evolution, and overshadows the
importance of point mutations in the coding region.
article_processing_charge: No
author:
- first_name: Riddhiman
full_name: Dhar, Riddhiman
last_name: Dhar
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Andreas
full_name: Wagner, Andreas
last_name: Wagner
citation:
ama: 'Dhar R, Bergmiller T, Wagner A. Data from: Increased gene dosage plays a predominant
role in the initial stages of evolution of duplicate TEM-1 beta lactamase genes.
2014. doi:10.5061/dryad.jc402'
apa: 'Dhar, R., Bergmiller, T., & Wagner, A. (2014). Data from: Increased gene
dosage plays a predominant role in the initial stages of evolution of duplicate
TEM-1 beta lactamase genes. Dryad. https://doi.org/10.5061/dryad.jc402'
chicago: 'Dhar, Riddhiman, Tobias Bergmiller, and Andreas Wagner. “Data from: Increased
Gene Dosage Plays a Predominant Role in the Initial Stages of Evolution of Duplicate
TEM-1 Beta Lactamase Genes.” Dryad, 2014. https://doi.org/10.5061/dryad.jc402.'
ieee: 'R. Dhar, T. Bergmiller, and A. Wagner, “Data from: Increased gene dosage
plays a predominant role in the initial stages of evolution of duplicate TEM-1
beta lactamase genes.” Dryad, 2014.'
ista: 'Dhar R, Bergmiller T, Wagner A. 2014. Data from: Increased gene dosage plays
a predominant role in the initial stages of evolution of duplicate TEM-1 beta
lactamase genes, Dryad, 10.5061/dryad.jc402.'
mla: 'Dhar, Riddhiman, et al. Data from: Increased Gene Dosage Plays a Predominant
Role in the Initial Stages of Evolution of Duplicate TEM-1 Beta Lactamase Genes.
Dryad, 2014, doi:10.5061/dryad.jc402.'
short: R. Dhar, T. Bergmiller, A. Wagner, (2014).
date_created: 2021-08-17T09:11:40Z
date_published: 2014-01-27T00:00:00Z
date_updated: 2023-02-23T14:13:24Z
day: '27'
department:
- _id: CaGu
doi: 10.5061/dryad.jc402
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.jc402
month: '01'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '9931'
relation: used_in_publication
status: public
status: public
title: 'Data from: Increased gene dosage plays a predominant role in the initial stages
of evolution of duplicate TEM-1 beta lactamase genes'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2014'
...
---
_id: '1913'
abstract:
- lang: eng
text: 'Deposits of phosphorylated tau protein and convergence of pathology in the
hippocampus are the hallmarks of neurodegenerative tauopathies. Thus we aimed
to evaluate whether regional and cellular vulnerability patterns in the hippocampus
distinguish tauopathies or are influenced by their concomitant presence. Methods:
We created a heat map of phospho-tau (AT8) immunoreactivity patterns in 24 hippocampal
subregions/layers in individuals with Alzheimer''s disease (AD)-related neurofibrillary
degeneration (n = 40), Pick''s disease (n = 8), progressive supranuclear palsy
(n = 7), corticobasal degeneration (n = 6), argyrophilic grain disease (AGD, n
= 18), globular glial tauopathy (n = 5), and tau-astrogliopathy of the elderly
(n = 10). AT8 immunoreactivity patterns were compared by mathematical analysis.
Results: Our study reveals disease-specific hot spots and regional selective vulnerability
for these disorders. The pattern of hippocampal AD-related tau pathology is strongly
influenced by concomitant AGD. Mathematical analysis reveals that hippocampal
involvement in primary tauopathies is distinguishable from early-stage AD-related
neurofibrillary degeneration. Conclusion: Our data demonstrate disease-specific
AT8 immunoreactivity patterns and hot spots in the hippocampus even in tauopathies,
which primarily do not affect the hippocampus. These hot spots can be shifted
to other regions by the co-occurrence of tauopathies like AGD. Our observations
support the notion that globular glial tauopathies and tau-astrogliopathy of the
elderly are distinct entities.'
acknowledgement: This study was supported by the European Commission’s 7th Framework
Programme under GA No. 278486, ‘DEVELAGE’.
article_processing_charge: No
article_type: original
author:
- first_name: Ivan
full_name: Milenković, Ivan
last_name: Milenković
- first_name: Tatjana
full_name: Petrov, Tatjana
id: 3D5811FC-F248-11E8-B48F-1D18A9856A87
last_name: Petrov
orcid: 0000-0002-9041-0905
- first_name: Gábor
full_name: Kovács, Gábor
last_name: Kovács
citation:
ama: Milenković I, Petrov T, Kovács G. Patterns of hippocampal tau pathology differentiate
neurodegenerative dementias. Dementia and Geriatric Cognitive Disorders.
2014;38(5-6):375-388. doi:10.1159/000365548
apa: Milenković, I., Petrov, T., & Kovács, G. (2014). Patterns of hippocampal
tau pathology differentiate neurodegenerative dementias. Dementia and Geriatric
Cognitive Disorders. Karger Publishers. https://doi.org/10.1159/000365548
chicago: Milenković, Ivan, Tatjana Petrov, and Gábor Kovács. “Patterns of Hippocampal
Tau Pathology Differentiate Neurodegenerative Dementias.” Dementia and Geriatric
Cognitive Disorders. Karger Publishers, 2014. https://doi.org/10.1159/000365548.
ieee: I. Milenković, T. Petrov, and G. Kovács, “Patterns of hippocampal tau pathology
differentiate neurodegenerative dementias,” Dementia and Geriatric Cognitive
Disorders, vol. 38, no. 5–6. Karger Publishers, pp. 375–388, 2014.
ista: Milenković I, Petrov T, Kovács G. 2014. Patterns of hippocampal tau pathology
differentiate neurodegenerative dementias. Dementia and Geriatric Cognitive Disorders.
38(5–6), 375–388.
mla: Milenković, Ivan, et al. “Patterns of Hippocampal Tau Pathology Differentiate
Neurodegenerative Dementias.” Dementia and Geriatric Cognitive Disorders,
vol. 38, no. 5–6, Karger Publishers, 2014, pp. 375–88, doi:10.1159/000365548.
short: I. Milenković, T. Petrov, G. Kovács, Dementia and Geriatric Cognitive Disorders
38 (2014) 375–388.
date_created: 2018-12-11T11:54:41Z
date_published: 2014-11-07T00:00:00Z
date_updated: 2023-10-17T10:21:17Z
day: '07'
department:
- _id: CaGu
doi: 10.1159/000365548
external_id:
pmid:
- '25195847'
intvolume: ' 38'
issue: 5-6
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://kops.uni-konstanz.de/bitstream/123456789/42127/1/Milenkovic_2-17ivylo2up0798.pdf
month: '11'
oa: 1
oa_version: Published Version
page: 375 - 388
pmid: 1
publication: Dementia and Geriatric Cognitive Disorders
publication_identifier:
issn:
- 1420-8008
publication_status: published
publisher: Karger Publishers
publist_id: '5181'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Patterns of hippocampal tau pathology differentiate neurodegenerative dementias
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 38
year: '2014'
...
---
_id: '2718'
abstract:
- lang: eng
text: Even though both population and quantitative genetics, and evolutionary computation,
deal with the same questions, they have developed largely independently of each
other. I review key results from each field, emphasising those that apply independently
of the (usually unknown) relation between genotype and phenotype. The infinitesimal
model provides a simple framework for predicting the response of complex traits
to selection, which in biology has proved remarkably successful. This allows one
to choose the schedule of population sizes and selection intensities that will
maximise the response to selection, given that the total number of individuals
realised, C = ∑t Nt, is constrained. This argument shows that for an additive
trait (i.e., determined by the sum of effects of the genes), the optimum population
size and the maximum possible response (i.e., the total change in trait mean)
are both proportional to √C.
author:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
citation:
ama: 'Barton NH, Paixao T. Can quantitative and population genetics help us understand
evolutionary computation? In: Proceedings of the 15th Annual Conference on
Genetic and Evolutionary Computation. ACM; 2013:1573-1580. doi:10.1145/2463372.2463568'
apa: 'Barton, N. H., & Paixao, T. (2013). Can quantitative and population genetics
help us understand evolutionary computation? In Proceedings of the 15th annual
conference on Genetic and evolutionary computation (pp. 1573–1580). Amsterdam,
Netherlands: ACM. https://doi.org/10.1145/2463372.2463568'
chicago: Barton, Nicholas H, and Tiago Paixao. “Can Quantitative and Population
Genetics Help Us Understand Evolutionary Computation?” In Proceedings of the
15th Annual Conference on Genetic and Evolutionary Computation, 1573–80. ACM,
2013. https://doi.org/10.1145/2463372.2463568.
ieee: N. H. Barton and T. Paixao, “Can quantitative and population genetics help
us understand evolutionary computation?,” in Proceedings of the 15th annual
conference on Genetic and evolutionary computation, Amsterdam, Netherlands,
2013, pp. 1573–1580.
ista: 'Barton NH, Paixao T. 2013. Can quantitative and population genetics help
us understand evolutionary computation? Proceedings of the 15th annual conference
on Genetic and evolutionary computation. GECCO: Genetic and evolutionary computation
conference, 1573–1580.'
mla: Barton, Nicholas H., and Tiago Paixao. “Can Quantitative and Population Genetics
Help Us Understand Evolutionary Computation?” Proceedings of the 15th Annual
Conference on Genetic and Evolutionary Computation, ACM, 2013, pp. 1573–80,
doi:10.1145/2463372.2463568.
short: N.H. Barton, T. Paixao, in:, Proceedings of the 15th Annual Conference on
Genetic and Evolutionary Computation, ACM, 2013, pp. 1573–1580.
conference:
end_date: 2013-07-10
location: Amsterdam, Netherlands
name: 'GECCO: Genetic and evolutionary computation conference'
start_date: 2013-07-06
date_created: 2018-12-11T11:59:14Z
date_published: 2013-07-01T00:00:00Z
date_updated: 2021-01-12T06:59:15Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1145/2463372.2463568
ec_funded: 1
file:
- access_level: open_access
checksum: 9d9be9090ce5c20766e0eb076ace5b98
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:15:38Z
date_updated: 2020-07-14T12:45:45Z
file_id: '5159'
file_name: IST-2016-564-v1+1_NickGECCO_2013_1_-1.pdf
file_size: 475844
relation: main_file
file_date_updated: 2020-07-14T12:45:45Z
has_accepted_license: '1'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Submitted Version
page: 1573 - 1580
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Proceedings of the 15th annual conference on Genetic and evolutionary
computation
publication_status: published
publisher: ACM
publist_id: '4174'
pubrep_id: '564'
quality_controlled: '1'
scopus_import: 1
status: public
title: Can quantitative and population genetics help us understand evolutionary computation?
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2013'
...
---
_id: '2720'
abstract:
- lang: eng
text: 'Knowledge of the rate and fitness effects of mutations is essential for understanding
the process of evolution. Mutations are inherently difficult to study because
they are rare and are frequently eliminated by natural selection. In the ciliate
Tetrahymena thermophila, mutations can accumulate in the germline genome without
being exposed to selection. We have conducted a mutation accumulation (MA) experiment
in this species. Assuming that all mutations are deleterious and have the same
effect, we estimate that the deleterious mutation rate per haploid germline genome
per generation is U = 0.0047 (95% credible interval: 0.0015, 0.0125), and that
germline mutations decrease fitness by s = 11% when expressed in a homozygous
state (95% CI: 4.4%, 27%). We also estimate that deleterious mutations are partially
recessive on average (h = 0.26; 95% CI: –0.022, 0.62) and that the rate of lethal
mutations is <10% of the deleterious mutation rate. Comparisons between the
observed evolutionary responses in the germline and somatic genomes and the results
from individual-based simulations of MA suggest that the two genomes have similar
mutational parameters. These are the first estimates of the deleterious mutation
rate and fitness effects from the eukaryotic supergroup Chromalveolata and are
within the range of those of other eukaryotes.'
article_processing_charge: No
author:
- first_name: Hongan
full_name: Long, Hongan
last_name: Long
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Ricardo
full_name: Azevedo, Ricardo
last_name: Azevedo
- first_name: Rebecca
full_name: Zufall, Rebecca
last_name: Zufall
citation:
ama: Long H, Paixao T, Azevedo R, Zufall R. Accumulation of spontaneous mutations
in the ciliate Tetrahymena thermophila. Genetics. 2013;195(2):527-540.
doi:10.1534/genetics.113.153536
apa: Long, H., Paixao, T., Azevedo, R., & Zufall, R. (2013). Accumulation of
spontaneous mutations in the ciliate Tetrahymena thermophila. Genetics.
Genetics Society of America. https://doi.org/10.1534/genetics.113.153536
chicago: Long, Hongan, Tiago Paixao, Ricardo Azevedo, and Rebecca Zufall. “Accumulation
of Spontaneous Mutations in the Ciliate Tetrahymena Thermophila.” Genetics.
Genetics Society of America, 2013. https://doi.org/10.1534/genetics.113.153536.
ieee: H. Long, T. Paixao, R. Azevedo, and R. Zufall, “Accumulation of spontaneous
mutations in the ciliate Tetrahymena thermophila,” Genetics, vol. 195,
no. 2. Genetics Society of America, pp. 527–540, 2013.
ista: Long H, Paixao T, Azevedo R, Zufall R. 2013. Accumulation of spontaneous mutations
in the ciliate Tetrahymena thermophila. Genetics. 195(2), 527–540.
mla: Long, Hongan, et al. “Accumulation of Spontaneous Mutations in the Ciliate
Tetrahymena Thermophila.” Genetics, vol. 195, no. 2, Genetics Society of
America, 2013, pp. 527–40, doi:10.1534/genetics.113.153536.
short: H. Long, T. Paixao, R. Azevedo, R. Zufall, Genetics 195 (2013) 527–540.
date_created: 2018-12-11T11:59:15Z
date_published: 2013-10-01T00:00:00Z
date_updated: 2021-01-12T06:59:16Z
day: '01'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1534/genetics.113.153536
ec_funded: 1
external_id:
pmid:
- '23934880'
intvolume: ' 195'
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3781978/
month: '10'
oa: 1
oa_version: Submitted Version
page: 527-540
pmid: 1
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Genetics
publication_status: published
publisher: Genetics Society of America
publist_id: '4172'
quality_controlled: '1'
scopus_import: 1
status: public
title: Accumulation of spontaneous mutations in the ciliate Tetrahymena thermophila
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 195
year: '2013'
...
---
_id: '2719'
abstract:
- lang: eng
text: Prediction of the evolutionary process is a long standing problem both in
the theory of evolutionary biology and evolutionary computation (EC). It has long
been realized that heritable variation is crucial to both the response to selection
and the success of genetic algorithms. However, not all variation contributes
in the same way to the response. Quantitative genetics has developed a large body
of work trying to estimate and understand how different components of the variance
in fitness in the population contribute to the response to selection. We illustrate
how to apply some concepts of quantitative genetics to the analysis of genetic
algorithms. In particular, we derive estimates for the short term prediction of
the response to selection and we use variance decomposition to gain insight on
local aspects of the landscape. Finally, we propose a new population based genetic
algorithm that uses these methods to improve its operation.
author:
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: 'Paixao T, Barton NH. A variance decomposition approach to the analysis of
genetic algorithms. In: Proceedings of the 15th Annual Conference on Genetic
and Evolutionary Computation. ACM; 2013:845-852. doi:10.1145/2463372.2463470'
apa: 'Paixao, T., & Barton, N. H. (2013). A variance decomposition approach
to the analysis of genetic algorithms. In Proceedings of the 15th annual conference
on Genetic and evolutionary computation (pp. 845–852). Amsterdam, Netherlands:
ACM. https://doi.org/10.1145/2463372.2463470'
chicago: Paixao, Tiago, and Nicholas H Barton. “A Variance Decomposition Approach
to the Analysis of Genetic Algorithms.” In Proceedings of the 15th Annual Conference
on Genetic and Evolutionary Computation, 845–52. ACM, 2013. https://doi.org/10.1145/2463372.2463470.
ieee: T. Paixao and N. H. Barton, “A variance decomposition approach to the analysis
of genetic algorithms,” in Proceedings of the 15th annual conference on Genetic
and evolutionary computation, Amsterdam, Netherlands, 2013, pp. 845–852.
ista: 'Paixao T, Barton NH. 2013. A variance decomposition approach to the analysis
of genetic algorithms. Proceedings of the 15th annual conference on Genetic and
evolutionary computation. GECCO: Genetic and evolutionary computation conference,
845–852.'
mla: Paixao, Tiago, and Nicholas H. Barton. “A Variance Decomposition Approach to
the Analysis of Genetic Algorithms.” Proceedings of the 15th Annual Conference
on Genetic and Evolutionary Computation, ACM, 2013, pp. 845–52, doi:10.1145/2463372.2463470.
short: T. Paixao, N.H. Barton, in:, Proceedings of the 15th Annual Conference on
Genetic and Evolutionary Computation, ACM, 2013, pp. 845–852.
conference:
end_date: 2013-07-10
location: Amsterdam, Netherlands
name: 'GECCO: Genetic and evolutionary computation conference'
start_date: 2013-07-06
date_created: 2018-12-11T11:59:15Z
date_published: 2013-07-01T00:00:00Z
date_updated: 2021-01-12T06:59:15Z
day: '01'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1145/2463372.2463470
ec_funded: 1
language:
- iso: eng
month: '07'
oa_version: None
page: 845 - 852
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Proceedings of the 15th annual conference on Genetic and evolutionary
computation
publication_status: published
publisher: ACM
publist_id: '4173'
quality_controlled: '1'
scopus_import: 1
status: public
title: A variance decomposition approach to the analysis of genetic algorithms
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2013'
...
---
_id: '499'
abstract:
- lang: eng
text: Exposure of an isogenic bacterial population to a cidal antibiotic typically
fails to eliminate a small fraction of refractory cells. Historically, fractional
killing has been attributed to infrequently dividing or nondividing "persisters."
Using microfluidic cultures and time-lapse microscopy, we found that Mycobacterium
smegmatis persists by dividing in the presence of the drug isoniazid (INH). Although
persistence in these studies was characterized by stable numbers of cells, this
apparent stability was actually a dynamic state of balanced division and death.
Single cells expressed catalase-peroxidase (KatG), which activates INH, in stochastic
pulses that were negatively correlated with cell survival. These behaviors may
reflect epigenetic effects, because KatG pulsing and death were correlated between
sibling cells. Selection of lineages characterized by infrequent KatG pulsing
could allow nonresponsive adaptation during prolonged drug exposure.
author:
- first_name: Yurichi
full_name: Wakamoto, Yurichi
last_name: Wakamoto
- first_name: Neraaj
full_name: Dhar, Neraaj
last_name: Dhar
- first_name: Remy P
full_name: Chait, Remy P
id: 3464AE84-F248-11E8-B48F-1D18A9856A87
last_name: Chait
orcid: 0000-0003-0876-3187
- first_name: Katrin
full_name: Schneider, Katrin
last_name: Schneider
- first_name: François
full_name: Signorino Gelo, François
last_name: Signorino Gelo
- first_name: Stanislas
full_name: Leibler, Stanislas
last_name: Leibler
- first_name: John
full_name: Mckinney, John
last_name: Mckinney
citation:
ama: Wakamoto Y, Dhar N, Chait RP, et al. Dynamic persistence of antibiotic-stressed
mycobacteria. Science. 2013;339(6115):91-95. doi:10.1126/science.1229858
apa: Wakamoto, Y., Dhar, N., Chait, R. P., Schneider, K., Signorino Gelo, F., Leibler,
S., & Mckinney, J. (2013). Dynamic persistence of antibiotic-stressed mycobacteria.
Science. American Association for the Advancement of Science. https://doi.org/10.1126/science.1229858
chicago: Wakamoto, Yurichi, Neraaj Dhar, Remy P Chait, Katrin Schneider, François
Signorino Gelo, Stanislas Leibler, and John Mckinney. “Dynamic Persistence of
Antibiotic-Stressed Mycobacteria.” Science. American Association for the
Advancement of Science, 2013. https://doi.org/10.1126/science.1229858.
ieee: Y. Wakamoto et al., “Dynamic persistence of antibiotic-stressed mycobacteria,”
Science, vol. 339, no. 6115. American Association for the Advancement of
Science, pp. 91–95, 2013.
ista: Wakamoto Y, Dhar N, Chait RP, Schneider K, Signorino Gelo F, Leibler S, Mckinney
J. 2013. Dynamic persistence of antibiotic-stressed mycobacteria. Science. 339(6115),
91–95.
mla: Wakamoto, Yurichi, et al. “Dynamic Persistence of Antibiotic-Stressed Mycobacteria.”
Science, vol. 339, no. 6115, American Association for the Advancement of
Science, 2013, pp. 91–95, doi:10.1126/science.1229858.
short: Y. Wakamoto, N. Dhar, R.P. Chait, K. Schneider, F. Signorino Gelo, S. Leibler,
J. Mckinney, Science 339 (2013) 91–95.
date_created: 2018-12-11T11:46:48Z
date_published: 2013-01-04T00:00:00Z
date_updated: 2021-01-12T08:01:06Z
day: '04'
department:
- _id: CaGu
- _id: GaTk
doi: 10.1126/science.1229858
intvolume: ' 339'
issue: '6115'
language:
- iso: eng
month: '01'
oa_version: None
page: 91 - 95
publication: Science
publication_status: published
publisher: American Association for the Advancement of Science
publist_id: '7321'
quality_controlled: '1'
scopus_import: 1
status: public
title: Dynamic persistence of antibiotic-stressed mycobacteria
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 339
year: '2013'
...
---
_id: '2853'
abstract:
- lang: eng
text: High relatedness among interacting individuals has generally been considered
a precondition for the evolution of altruism. However, kin-selection theory also
predicts the evolution of altruism when relatedness is low, as long as the cost
of the altruistic act is minor compared with its benefit. Here, we demonstrate
evidence for a low-cost altruistic act in bacteria. We investigated Escherichia
coli responding to the attack of an obligately lytic phage by committing suicide
in order to prevent parasite transmission to nearby relatives. We found that bacterial
suicide provides large benefits to survivors at marginal costs to committers.
The cost of suicide was low, because infected cells are moribund, rapidly dying
upon phage infection, such that no more opportunity for reproduction remains.
As a consequence of its marginal cost, host suicide was selectively favoured even
when relatedness between committers and survivors approached zero. Altogether,
our findings demonstrate that low-cost suicide can evolve with ease, represents
an effective host-defence strategy, and seems to be widespread among microbes.
Moreover, low-cost suicide might also occur in higher organisms as exemplified
by infected social insect workers leaving the colony to die in isolation.
article_processing_charge: No
article_type: original
author:
- first_name: Dominik
full_name: Refardt, Dominik
last_name: Refardt
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Rolf
full_name: Kümmerli, Rolf
last_name: Kümmerli
citation:
ama: 'Refardt D, Bergmiller T, Kümmerli R. Altruism can evolve when relatedness
is low: Evidence from bacteria committing suicide upon phage infection. Proceedings
of the Royal Society of London Series B Biological Sciences. 2013;280(1759).
doi:10.1098/rspb.2012.3035'
apa: 'Refardt, D., Bergmiller, T., & Kümmerli, R. (2013). Altruism can evolve
when relatedness is low: Evidence from bacteria committing suicide upon phage
infection. Proceedings of the Royal Society of London Series B Biological Sciences.
The Royal Society. https://doi.org/10.1098/rspb.2012.3035'
chicago: 'Refardt, Dominik, Tobias Bergmiller, and Rolf Kümmerli. “Altruism Can
Evolve When Relatedness Is Low: Evidence from Bacteria Committing Suicide upon
Phage Infection.” Proceedings of the Royal Society of London Series B Biological
Sciences. The Royal Society, 2013. https://doi.org/10.1098/rspb.2012.3035.'
ieee: 'D. Refardt, T. Bergmiller, and R. Kümmerli, “Altruism can evolve when relatedness
is low: Evidence from bacteria committing suicide upon phage infection,” Proceedings
of the Royal Society of London Series B Biological Sciences, vol. 280, no.
1759. The Royal Society, 2013.'
ista: 'Refardt D, Bergmiller T, Kümmerli R. 2013. Altruism can evolve when relatedness
is low: Evidence from bacteria committing suicide upon phage infection. Proceedings
of the Royal Society of London Series B Biological Sciences. 280(1759).'
mla: 'Refardt, Dominik, et al. “Altruism Can Evolve When Relatedness Is Low: Evidence
from Bacteria Committing Suicide upon Phage Infection.” Proceedings of the
Royal Society of London Series B Biological Sciences, vol. 280, no. 1759,
The Royal Society, 2013, doi:10.1098/rspb.2012.3035.'
short: D. Refardt, T. Bergmiller, R. Kümmerli, Proceedings of the Royal Society
of London Series B Biological Sciences 280 (2013).
date_created: 2018-12-11T11:59:56Z
date_published: 2013-05-22T00:00:00Z
date_updated: 2023-10-18T06:43:23Z
day: '22'
department:
- _id: CaGu
doi: 10.1098/rspb.2012.3035
external_id:
pmid:
- '23516238'
intvolume: ' 280'
issue: '1759'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3619501/
month: '05'
oa: 1
oa_version: Submitted Version
pmid: 1
publication: Proceedings of the Royal Society of London Series B Biological Sciences
publication_identifier:
eissn:
- 1471-2954
publication_status: published
publisher: The Royal Society
publist_id: '3939'
quality_controlled: '1'
related_material:
record:
- id: '9751'
relation: research_data
status: public
scopus_import: '1'
status: public
title: 'Altruism can evolve when relatedness is low: Evidence from bacteria committing
suicide upon phage infection'
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 280
year: '2013'
...
---
_id: '9751'
abstract:
- lang: eng
text: High relatedness among interacting individuals has generally been considered
a precondition for the evolution of altruism. However, kin-selection theory also
predicts the evolution of altruism when relatedness is low, as long as the cost
of the altruistic act is minor compared to its benefit. Here, we demonstrate evidence
for a low-cost altruistic act in bacteria. We investigated Escherichia coli responding
to the attack of an obligately lytic phage by committing suicide in order to prevent
parasite transmission to nearby relatives. We found that bacterial suicide provides
large benefits to survivors at marginal costs to committers. The cost of suicide
was low because infected cells are moribund, rapidly dying upon phage infection,
such that no more opportunity for reproduction remains. As a consequence of its
marginal cost, host suicide was selectively favoured even when relatedness between
committers and survivors approached zero. Altogether, our findings demonstrate
that low-cost suicide can evolve with ease, represents an effective host-defence
strategy, and seems to be widespread among microbes. Moreover, low-cost suicide
might also occur in higher organisms as exemplified by infected social insect
workers leaving the colony to die in isolation.
article_processing_charge: No
author:
- first_name: Dominik
full_name: Refardt, Dominik
last_name: Refardt
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Rolf
full_name: Kümmerli, Rolf
last_name: Kümmerli
citation:
ama: 'Refardt D, Bergmiller T, Kümmerli R. Data from: Altruism can evolve when relatedness
is low: evidence from bacteria committing suicide upon phage infection. 2013.
doi:10.5061/dryad.b1q2n'
apa: 'Refardt, D., Bergmiller, T., & Kümmerli, R. (2013). Data from: Altruism
can evolve when relatedness is low: evidence from bacteria committing suicide
upon phage infection. Dryad. https://doi.org/10.5061/dryad.b1q2n'
chicago: 'Refardt, Dominik, Tobias Bergmiller, and Rolf Kümmerli. “Data from: Altruism
Can Evolve When Relatedness Is Low: Evidence from Bacteria Committing Suicide
upon Phage Infection.” Dryad, 2013. https://doi.org/10.5061/dryad.b1q2n.'
ieee: 'D. Refardt, T. Bergmiller, and R. Kümmerli, “Data from: Altruism can evolve
when relatedness is low: evidence from bacteria committing suicide upon phage
infection.” Dryad, 2013.'
ista: 'Refardt D, Bergmiller T, Kümmerli R. 2013. Data from: Altruism can evolve
when relatedness is low: evidence from bacteria committing suicide upon phage
infection, Dryad, 10.5061/dryad.b1q2n.'
mla: 'Refardt, Dominik, et al. Data from: Altruism Can Evolve When Relatedness
Is Low: Evidence from Bacteria Committing Suicide upon Phage Infection. Dryad,
2013, doi:10.5061/dryad.b1q2n.'
short: D. Refardt, T. Bergmiller, R. Kümmerli, (2013).
date_created: 2021-07-30T08:08:09Z
date_published: 2013-03-21T00:00:00Z
date_updated: 2023-10-18T06:43:22Z
day: '21'
department:
- _id: CaGu
doi: 10.5061/dryad.b1q2n
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.b1q2n
month: '03'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '2853'
relation: used_in_publication
status: public
status: public
title: 'Data from: Altruism can evolve when relatedness is low: evidence from bacteria
committing suicide upon phage infection'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2013'
...
---
_id: '2302'
abstract:
- lang: eng
text: 'We introduce propagation models (PMs), a formalism able to express several
kinds of equations that describe the behavior of biochemical reaction networks.
Furthermore, we introduce the propagation abstract data type (PADT), which separates
concerns regarding different numerical algorithms for the transient analysis of
biochemical reaction networks from concerns regarding their implementation, thus
allowing for portable and efficient solutions. The state of a propagation abstract
data type is given by a vector that assigns mass values to a set of nodes, and
its (next) operator propagates mass values through this set of nodes. We propose
an approximate implementation of the (next) operator, based on threshold abstraction,
which propagates only "significant" mass values and thus achieves a
compromise between efficiency and accuracy. Finally, we give three use cases for
propagation models: the chemical master equation (CME), the reaction rate equation
(RRE), and a hybrid method that combines these two equations. These three applications
use propagation models in order to propagate probabilities and/or expected values
and variances of the model''s variables.'
author:
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Maria
full_name: Mateescu, Maria
id: 3B43276C-F248-11E8-B48F-1D18A9856A87
last_name: Mateescu
citation:
ama: Henzinger TA, Mateescu M. The propagation approach for computing biochemical
reaction networks. IEEE ACM Transactions on Computational Biology and Bioinformatics.
2012;10(2):310-322. doi:10.1109/TCBB.2012.91
apa: Henzinger, T. A., & Mateescu, M. (2012). The propagation approach for computing
biochemical reaction networks. IEEE ACM Transactions on Computational Biology
and Bioinformatics. IEEE. https://doi.org/10.1109/TCBB.2012.91
chicago: Henzinger, Thomas A, and Maria Mateescu. “The Propagation Approach for
Computing Biochemical Reaction Networks.” IEEE ACM Transactions on Computational
Biology and Bioinformatics. IEEE, 2012. https://doi.org/10.1109/TCBB.2012.91.
ieee: T. A. Henzinger and M. Mateescu, “The propagation approach for computing biochemical
reaction networks,” IEEE ACM Transactions on Computational Biology and Bioinformatics,
vol. 10, no. 2. IEEE, pp. 310–322, 2012.
ista: Henzinger TA, Mateescu M. 2012. The propagation approach for computing biochemical
reaction networks. IEEE ACM Transactions on Computational Biology and Bioinformatics.
10(2), 310–322.
mla: Henzinger, Thomas A., and Maria Mateescu. “The Propagation Approach for Computing
Biochemical Reaction Networks.” IEEE ACM Transactions on Computational Biology
and Bioinformatics, vol. 10, no. 2, IEEE, 2012, pp. 310–22, doi:10.1109/TCBB.2012.91.
short: T.A. Henzinger, M. Mateescu, IEEE ACM Transactions on Computational Biology
and Bioinformatics 10 (2012) 310–322.
date_created: 2018-12-11T11:56:52Z
date_published: 2012-07-03T00:00:00Z
date_updated: 2021-01-12T06:56:38Z
day: '03'
department:
- _id: ToHe
- _id: CaGu
doi: 10.1109/TCBB.2012.91
ec_funded: 1
external_id:
pmid:
- '22778152'
intvolume: ' 10'
issue: '2'
language:
- iso: eng
month: '07'
oa_version: None
page: 310 - 322
pmid: 1
project:
- _id: 25EE3708-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '267989'
name: Quantitative Reactive Modeling
publication: IEEE ACM Transactions on Computational Biology and Bioinformatics
publication_status: published
publisher: IEEE
publist_id: '4625'
quality_controlled: '1'
scopus_import: 1
status: public
title: The propagation approach for computing biochemical reaction networks
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 10
year: '2012'
...
---
_id: '2943'
abstract:
- lang: eng
text: We examine whether the Escherichia coli chromosome is folded into a self-adherent
nucleoprotein complex, or alternately is a confined but otherwise unconstrained
self-avoiding polymer. We address this through in vivo visualization, using an
inducible GFP fusion to the nucleoid-associated protein Fis to non-specifically
decorate the entire chromosome. For a range of different growth conditions, the
chromosome is a compact structure that does not fill the volume of the cell, and
which moves from the new pole to the cell centre. During rapid growth, chromosome
segregation occurs well before cell division, with daughter chromosomes coupled
by a thin inter-daughter filament before complete segregation, whereas during
slow growth chromosomes stay adjacent until cell division occurs. Image correlation
analysis indicates that sub-nucleoid structure is stable on a 1min timescale,
comparable to the timescale for redistribution time measured for GFP-Fis after
photobleaching. Optical deconvolution and writhe calculation analysis indicate
that the nucleoid has a large-scale coiled organization rather than being an amorphous
mass. Our observations are consistent with the chromosome having a self-adherent
filament organization.
acknowledgement: We thank Professor Philippe Cluzel and Mr Lance Min for providing
advice and materials. Jeannette Chau provided technical support. Work at NU was
supported by NSF Grants DMR-0715099, MCB-1022117, DMR-1206868, DMR-0520513 and DMR-1121262
(NU-MRSEC), by NIH-NCI Grant U54CA143869-01 (NU-PS-OC) and by the Chicago Biomedical
Consortium with support from the Searle Funds at the Chicago Community Trust. Work
at UCLA was supported by NIH Grant GM038509.
author:
- first_name: Nastaran
full_name: Hadizadeh Yazdi, Nastaran
last_name: Hadizadeh Yazdi
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Reid
full_name: Johnson, Reid
last_name: Johnson
- first_name: John
full_name: Marko, John
last_name: Marko
citation:
ama: Hadizadeh Yazdi N, Guet CC, Johnson R, Marko J. Variation of the folding and
dynamics of the Escherichia coli chromosome with growth conditions. Molecular
Microbiology. 2012;86(6):1318-1333. doi:10.1111/mmi.12071
apa: Hadizadeh Yazdi, N., Guet, C. C., Johnson, R., & Marko, J. (2012). Variation
of the folding and dynamics of the Escherichia coli chromosome with growth conditions.
Molecular Microbiology. Wiley-Blackwell. https://doi.org/10.1111/mmi.12071
chicago: Hadizadeh Yazdi, Nastaran, Calin C Guet, Reid Johnson, and John Marko.
“Variation of the Folding and Dynamics of the Escherichia Coli Chromosome with
Growth Conditions.” Molecular Microbiology. Wiley-Blackwell, 2012. https://doi.org/10.1111/mmi.12071.
ieee: N. Hadizadeh Yazdi, C. C. Guet, R. Johnson, and J. Marko, “Variation of the
folding and dynamics of the Escherichia coli chromosome with growth conditions,”
Molecular Microbiology, vol. 86, no. 6. Wiley-Blackwell, pp. 1318–1333,
2012.
ista: Hadizadeh Yazdi N, Guet CC, Johnson R, Marko J. 2012. Variation of the folding
and dynamics of the Escherichia coli chromosome with growth conditions. Molecular
Microbiology. 86(6), 1318–1333.
mla: Hadizadeh Yazdi, Nastaran, et al. “Variation of the Folding and Dynamics of
the Escherichia Coli Chromosome with Growth Conditions.” Molecular Microbiology,
vol. 86, no. 6, Wiley-Blackwell, 2012, pp. 1318–33, doi:10.1111/mmi.12071.
short: N. Hadizadeh Yazdi, C.C. Guet, R. Johnson, J. Marko, Molecular Microbiology
86 (2012) 1318–1333.
date_created: 2018-12-11T12:00:28Z
date_published: 2012-11-09T00:00:00Z
date_updated: 2021-01-12T07:39:56Z
day: '09'
department:
- _id: CaGu
doi: 10.1111/mmi.12071
intvolume: ' 86'
issue: '6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://europepmc.org/articles/pmc3524407
month: '11'
oa: 1
oa_version: Submitted Version
page: 1318 - 1333
publication: Molecular Microbiology
publication_status: published
publisher: Wiley-Blackwell
publist_id: '3790'
quality_controlled: '1'
scopus_import: 1
status: public
title: Variation of the folding and dynamics of the Escherichia coli chromosome with
growth conditions
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 86
year: '2012'
...
---
_id: '3130'
abstract:
- lang: eng
text: 'Essential genes code for fundamental cellular functions required for the
viability of an organism. For this reason, essential genes are often highly conserved
across organisms. However, this is not always the case: orthologues of genes that
are essential in one organism are sometimes not essential in other organisms or
are absent from their genomes. This suggests that, in the course of evolution,
essential genes can be rendered nonessential. How can a gene become non-essential?
Here we used genetic manipulation to deplete the products of 26 different essential
genes in Escherichia coli. This depletion results in a lethal phenotype, which
could often be rescued by the overexpression of a non-homologous, non-essential
gene, most likely through replacement of the essential function. We also show
that, in a smaller number of cases, the essential genes can be fully deleted from
the genome, suggesting that complete functional replacement is possible. Finally,
we show that essential genes whose function can be replaced in the laboratory
are more likely to be non-essential or not present in other taxa. These results
are consistent with the notion that patterns of evolutionary conservation of essential
genes are influenced by their compensability-that is, by how easily they can be
functionally replaced, for example through increased expression of other genes.'
acknowledgement: We thank Alex Boehm for discussions and comments.
article_number: e1002803
author:
- first_name: Tobias
full_name: Bergmiller, Tobias
id: 2C471CFA-F248-11E8-B48F-1D18A9856A87
last_name: Bergmiller
orcid: 0000-0001-5396-4346
- first_name: Martin
full_name: Ackermann, Martin
last_name: Ackermann
- first_name: Olin
full_name: Silander, Olin
last_name: Silander
citation:
ama: Bergmiller T, Ackermann M, Silander O. Patterns of evolutionary conservation
of essential genes correlate with their compensability. PLoS Genetics.
2012;8(6). doi:10.1371/journal.pgen.1002803
apa: Bergmiller, T., Ackermann, M., & Silander, O. (2012). Patterns of evolutionary
conservation of essential genes correlate with their compensability. PLoS Genetics.
Public Library of Science. https://doi.org/10.1371/journal.pgen.1002803
chicago: Bergmiller, Tobias, Martin Ackermann, and Olin Silander. “Patterns of Evolutionary
Conservation of Essential Genes Correlate with Their Compensability.” PLoS
Genetics. Public Library of Science, 2012. https://doi.org/10.1371/journal.pgen.1002803.
ieee: T. Bergmiller, M. Ackermann, and O. Silander, “Patterns of evolutionary conservation
of essential genes correlate with their compensability,” PLoS Genetics,
vol. 8, no. 6. Public Library of Science, 2012.
ista: Bergmiller T, Ackermann M, Silander O. 2012. Patterns of evolutionary conservation
of essential genes correlate with their compensability. PLoS Genetics. 8(6), e1002803.
mla: Bergmiller, Tobias, et al. “Patterns of Evolutionary Conservation of Essential
Genes Correlate with Their Compensability.” PLoS Genetics, vol. 8, no.
6, e1002803, Public Library of Science, 2012, doi:10.1371/journal.pgen.1002803.
short: T. Bergmiller, M. Ackermann, O. Silander, PLoS Genetics 8 (2012).
date_created: 2018-12-11T12:01:34Z
date_published: 2012-06-28T00:00:00Z
date_updated: 2021-01-12T07:41:16Z
day: '28'
ddc:
- '576'
department:
- _id: CaGu
doi: 10.1371/journal.pgen.1002803
file:
- access_level: open_access
checksum: f8506fb579eda6fc5613ba9bf421b86a
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:52Z
date_updated: 2020-07-14T12:46:01Z
file_id: '4973'
file_name: IST-2015-386-v1+1_journal.pgen.1002803.pdf
file_size: 2674138
relation: main_file
file_date_updated: 2020-07-14T12:46:01Z
has_accepted_license: '1'
intvolume: ' 8'
issue: '6'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Published Version
publication: PLoS Genetics
publication_status: published
publisher: Public Library of Science
publist_id: '3567'
pubrep_id: '386'
quality_controlled: '1'
scopus_import: 1
status: public
title: Patterns of evolutionary conservation of essential genes correlate with their
compensability
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 8
year: '2012'
...
---
_id: '3136'
abstract:
- lang: eng
text: 'Continuous-time Markov chains (CTMC) with their rich theory and efficient
simulation algorithms have been successfully used in modeling stochastic processes
in diverse areas such as computer science, physics, and biology. However, systems
that comprise non-instantaneous events cannot be accurately and efficiently modeled
with CTMCs. In this paper we define delayed CTMCs, an extension of CTMCs that
allows for the specification of a lower bound on the time interval between an
event''s initiation and its completion, and we propose an algorithm for the computation
of their behavior. Our algorithm effectively decomposes the computation into two
stages: a pure CTMC governs event initiations while a deterministic process guarantees
lower bounds on event completion times. Furthermore, from the nature of delayed
CTMCs, we obtain a parallelized version of our algorithm. We use our formalism
to model genetic regulatory circuits (biological systems where delayed events
are common) and report on the results of our numerical algorithm as run on a cluster.
We compare performance and accuracy of our results with results obtained by using
pure CTMCs. © 2012 Springer-Verlag.'
acknowledgement: This work was supported by the ERC Advanced Investigator grant on
Quantitative Reactive Modeling (QUAREM) and by the Swiss National Science Foundation.
alternative_title:
- LNCS
author:
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Ashutosh
full_name: Gupta, Ashutosh
id: 335E5684-F248-11E8-B48F-1D18A9856A87
last_name: Gupta
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Maria
full_name: Mateescu, Maria
id: 3B43276C-F248-11E8-B48F-1D18A9856A87
last_name: Mateescu
- first_name: Ali
full_name: Sezgin, Ali
id: 4C7638DA-F248-11E8-B48F-1D18A9856A87
last_name: Sezgin
citation:
ama: 'Guet CC, Gupta A, Henzinger TA, Mateescu M, Sezgin A. Delayed continuous time
Markov chains for genetic regulatory circuits. In: Vol 7358. Springer; 2012:294-309.
doi:10.1007/978-3-642-31424-7_24'
apa: 'Guet, C. C., Gupta, A., Henzinger, T. A., Mateescu, M., & Sezgin, A. (2012).
Delayed continuous time Markov chains for genetic regulatory circuits (Vol. 7358,
pp. 294–309). Presented at the CAV: Computer Aided Verification, Berkeley, CA,
USA: Springer. https://doi.org/10.1007/978-3-642-31424-7_24'
chicago: Guet, Calin C, Ashutosh Gupta, Thomas A Henzinger, Maria Mateescu, and
Ali Sezgin. “Delayed Continuous Time Markov Chains for Genetic Regulatory Circuits,”
7358:294–309. Springer, 2012. https://doi.org/10.1007/978-3-642-31424-7_24.
ieee: 'C. C. Guet, A. Gupta, T. A. Henzinger, M. Mateescu, and A. Sezgin, “Delayed
continuous time Markov chains for genetic regulatory circuits,” presented at the
CAV: Computer Aided Verification, Berkeley, CA, USA, 2012, vol. 7358, pp. 294–309.'
ista: 'Guet CC, Gupta A, Henzinger TA, Mateescu M, Sezgin A. 2012. Delayed continuous
time Markov chains for genetic regulatory circuits. CAV: Computer Aided Verification,
LNCS, vol. 7358, 294–309.'
mla: Guet, Calin C., et al. Delayed Continuous Time Markov Chains for Genetic
Regulatory Circuits. Vol. 7358, Springer, 2012, pp. 294–309, doi:10.1007/978-3-642-31424-7_24.
short: C.C. Guet, A. Gupta, T.A. Henzinger, M. Mateescu, A. Sezgin, in:, Springer,
2012, pp. 294–309.
conference:
end_date: 2012-07-13
location: Berkeley, CA, USA
name: 'CAV: Computer Aided Verification'
start_date: 2012-07-07
date_created: 2018-12-11T12:01:36Z
date_published: 2012-07-01T00:00:00Z
date_updated: 2021-01-12T07:41:18Z
day: '01'
department:
- _id: CaGu
- _id: ToHe
doi: 10.1007/978-3-642-31424-7_24
ec_funded: 1
language:
- iso: eng
month: '07'
oa_version: None
page: 294 - 309
project:
- _id: 25EE3708-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '267989'
name: Quantitative Reactive Modeling
publication_status: published
publisher: Springer
publist_id: '3561'
quality_controlled: '1'
scopus_import: 1
status: public
title: Delayed continuous time Markov chains for genetic regulatory circuits
type: conference
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: '7358 '
year: '2012'
...
---
_id: '6496'
abstract:
- lang: eng
text: We report the switching behavior of the full bacterial flagellum system that
includes the filament and the motor in wild-type Escherichia coli cells. In sorting
the motor behavior by the clockwise bias, we find that the distributions of the
clockwise (CW) and counterclockwise (CCW) intervals are either exponential or
nonexponential with long tails. At low bias, CW intervals are exponentially distributed
and CCW intervals exhibit long tails. At intermediate CW bias (0.5) both CW and
CCW intervals are mainly exponentially distributed. A simple model suggests that
these two distinct switching behaviors are governed by the presence of signaling
noise within the chemotaxis network. Low noise yields exponentially distributed
intervals, whereas large noise yields nonexponential behavior with long tails.
These drastically different motor statistics may play a role in optimizing bacterial
behavior for a wide range of environmental conditions.
article_processing_charge: No
author:
- first_name: Heungwon
full_name: Park, Heungwon
last_name: Park
- first_name: Panos
full_name: Oikonomou, Panos
last_name: Oikonomou
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Philippe
full_name: Cluzel, Philippe
last_name: Cluzel
citation:
ama: Park H, Oikonomou P, Guet CC, Cluzel P. Noise underlies switching behavior
of the bacterial flagellum. Biophysical Journal. 2011;101(10):2336-2340.
doi:10.1016/j.bpj.2011.09.040
apa: Park, H., Oikonomou, P., Guet, C. C., & Cluzel, P. (2011). Noise underlies
switching behavior of the bacterial flagellum. Biophysical Journal. Elsevier.
https://doi.org/10.1016/j.bpj.2011.09.040
chicago: Park, Heungwon, Panos Oikonomou, Calin C Guet, and Philippe Cluzel. “Noise
Underlies Switching Behavior of the Bacterial Flagellum.” Biophysical Journal.
Elsevier, 2011. https://doi.org/10.1016/j.bpj.2011.09.040.
ieee: H. Park, P. Oikonomou, C. C. Guet, and P. Cluzel, “Noise underlies switching
behavior of the bacterial flagellum,” Biophysical Journal, vol. 101, no.
10. Elsevier, pp. 2336–2340, 2011.
ista: Park H, Oikonomou P, Guet CC, Cluzel P. 2011. Noise underlies switching behavior
of the bacterial flagellum. Biophysical Journal. 101(10), 2336–2340.
mla: Park, Heungwon, et al. “Noise Underlies Switching Behavior of the Bacterial
Flagellum.” Biophysical Journal, vol. 101, no. 10, Elsevier, 2011, pp.
2336–40, doi:10.1016/j.bpj.2011.09.040.
short: H. Park, P. Oikonomou, C.C. Guet, P. Cluzel, Biophysical Journal 101 (2011)
2336–2340.
date_created: 2019-05-28T11:54:29Z
date_published: 2011-11-16T00:00:00Z
date_updated: 2021-04-16T11:54:49Z
day: '16'
department:
- _id: CaGu
doi: 10.1016/j.bpj.2011.09.040
external_id:
pmid:
- '22098731'
intvolume: ' 101'
issue: '10'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3218319/
month: '11'
oa: 1
oa_version: Published Version
page: 2336-2340
pmid: 1
publication: Biophysical Journal
publication_identifier:
issn:
- 0006-3495
publication_status: published
publisher: Elsevier
quality_controlled: '1'
scopus_import: '1'
status: public
title: Noise underlies switching behavior of the bacterial flagellum
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 101
year: '2011'
...
---
_id: '3719'
abstract:
- lang: eng
text: The induction of a signaling pathway is characterized by transient complex
formation and mutual posttranslational modification of proteins. To faithfully
capture this combinatorial process in a math- ematical model is an important challenge
in systems biology. Exploiting the limited context on which most binding and modification
events are conditioned, attempts have been made to reduce the com- binatorial
complexity by quotienting the reachable set of molecular species, into species
aggregates while preserving the deterministic semantics of the thermodynamic limit.
Recently we proposed a quotienting that also preserves the stochastic semantics
and that is complete in the sense that the semantics of individual species can
be recovered from the aggregate semantics. In this paper we prove that this quotienting
yields a sufficient condition for weak lumpability and that it gives rise to a
backward Markov bisimulation between the original and aggregated transition system.
We illustrate the framework on a case study of the EGF/insulin receptor crosstalk.
acknowledgement: Jérôme Feret’s contribution was partially supported by the ABSTRACTCELL
ANR-Chair of Excellence. Heinz Koeppl acknowledges the support from the Swiss National
Science Foundation, grant no. 200020-117975/1. Tatjana Petrov acknowledges the support
from SystemsX.ch, the Swiss Initiative in Systems Biology.
alternative_title:
- EPTCS
author:
- first_name: Jérôme
full_name: Feret, Jérôme
last_name: Feret
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Heinz
full_name: Koeppl, Heinz
last_name: Koeppl
- first_name: Tatjana
full_name: Petrov, Tatjana
id: 3D5811FC-F248-11E8-B48F-1D18A9856A87
last_name: Petrov
orcid: 0000-0002-9041-0905
citation:
ama: 'Feret J, Henzinger TA, Koeppl H, Petrov T. Lumpability abstractions of rule-based
systems. In: Vol 40. Open Publishing Association; 2010:142-161.'
apa: 'Feret, J., Henzinger, T. A., Koeppl, H., & Petrov, T. (2010). Lumpability
abstractions of rule-based systems (Vol. 40, pp. 142–161). Presented at the MECBIC:
Membrane Computing and Biologically Inspired Process Calculi, Jena, Germany: Open
Publishing Association.'
chicago: Feret, Jérôme, Thomas A Henzinger, Heinz Koeppl, and Tatjana Petrov. “Lumpability
Abstractions of Rule-Based Systems,” 40:142–61. Open Publishing Association, 2010.
ieee: 'J. Feret, T. A. Henzinger, H. Koeppl, and T. Petrov, “Lumpability abstractions
of rule-based systems,” presented at the MECBIC: Membrane Computing and Biologically
Inspired Process Calculi, Jena, Germany, 2010, vol. 40, pp. 142–161.'
ista: 'Feret J, Henzinger TA, Koeppl H, Petrov T. 2010. Lumpability abstractions
of rule-based systems. MECBIC: Membrane Computing and Biologically Inspired Process
Calculi, EPTCS, vol. 40, 142–161.'
mla: Feret, Jérôme, et al. Lumpability Abstractions of Rule-Based Systems.
Vol. 40, Open Publishing Association, 2010, pp. 142–61.
short: J. Feret, T.A. Henzinger, H. Koeppl, T. Petrov, in:, Open Publishing Association,
2010, pp. 142–161.
conference:
end_date: 2010-08-23
location: Jena, Germany
name: 'MECBIC: Membrane Computing and Biologically Inspired Process Calculi'
start_date: 2010-08-23
date_created: 2018-12-11T12:04:47Z
date_published: 2010-10-30T00:00:00Z
date_updated: 2023-02-23T11:15:19Z
day: '30'
ddc:
- '570'
department:
- _id: ToHe
- _id: CaGu
external_id:
arxiv:
- '1011.0496'
file:
- access_level: open_access
checksum: eaaba991a86fff37606b0eb5196878e8
content_type: application/pdf
creator: kschuh
date_created: 2019-01-31T12:09:09Z
date_updated: 2020-07-14T12:46:14Z
file_id: '5904'
file_name: Lumpability_abstractions_of_rule-based_systems.pdf
file_size: 907155
relation: main_file
file_date_updated: 2020-07-14T12:46:14Z
has_accepted_license: '1'
intvolume: ' 40'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Submitted Version
page: 142-161
publication_status: published
publisher: Open Publishing Association
publist_id: '2511'
quality_controlled: '1'
related_material:
record:
- id: '3168'
relation: later_version
status: public
scopus_import: 1
status: public
title: Lumpability abstractions of rule-based systems
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 40
year: '2010'
...
---
_id: '3847'
abstract:
- lang: eng
text: The importance of stochasticity within biological systems has been shown repeatedly
during the last years and has raised the need for efficient stochastic tools.
We present SABRE, a tool for stochastic analysis of biochemical reaction networks.
SABRE implements fast adaptive uniformization (FAU), a direct numerical approximation
algorithm for computing transient solutions of biochemical reaction networks.
Biochemical reactions networks represent biological systems studied at a molecular
level and these reactions can be modeled as transitions of a Markov chain. SABRE
accepts as input the formalism of guarded commands, which it interprets either
as continuous-time or as discrete-time Markov chains. Besides operating in a stochastic
mode, SABRE may also perform a deterministic analysis by directly computing a
mean-field approximation of the system under study. We illustrate the different
functionalities of SABRE by means of biological case studies.
author:
- first_name: Frédéric
full_name: Didier, Frédéric
last_name: Didier
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Maria
full_name: Mateescu, Maria
last_name: Mateescu
- first_name: Verena
full_name: Wolf, Verena
last_name: Wolf
citation:
ama: 'Didier F, Henzinger TA, Mateescu M, Wolf V. SABRE: A tool for the stochastic
analysis of biochemical reaction networks. In: IEEE; 2010:193-194. doi:10.1109/QEST.2010.33'
apa: 'Didier, F., Henzinger, T. A., Mateescu, M., & Wolf, V. (2010). SABRE:
A tool for the stochastic analysis of biochemical reaction networks (pp. 193–194).
Presented at the QEST: Quantitative Evaluation of Systems, Williamsburg, USA:
IEEE. https://doi.org/10.1109/QEST.2010.33'
chicago: 'Didier, Frédéric, Thomas A Henzinger, Maria Mateescu, and Verena Wolf.
“SABRE: A Tool for the Stochastic Analysis of Biochemical Reaction Networks,”
193–94. IEEE, 2010. https://doi.org/10.1109/QEST.2010.33.'
ieee: 'F. Didier, T. A. Henzinger, M. Mateescu, and V. Wolf, “SABRE: A tool for
the stochastic analysis of biochemical reaction networks,” presented at the QEST:
Quantitative Evaluation of Systems, Williamsburg, USA, 2010, pp. 193–194.'
ista: 'Didier F, Henzinger TA, Mateescu M, Wolf V. 2010. SABRE: A tool for the stochastic
analysis of biochemical reaction networks. QEST: Quantitative Evaluation of Systems,
193–194.'
mla: 'Didier, Frédéric, et al. SABRE: A Tool for the Stochastic Analysis of Biochemical
Reaction Networks. IEEE, 2010, pp. 193–94, doi:10.1109/QEST.2010.33.'
short: F. Didier, T.A. Henzinger, M. Mateescu, V. Wolf, in:, IEEE, 2010, pp. 193–194.
conference:
end_date: 2010-09-18
location: Williamsburg, USA
name: 'QEST: Quantitative Evaluation of Systems'
start_date: 2010-09-15
date_created: 2018-12-11T12:05:29Z
date_published: 2010-10-14T00:00:00Z
date_updated: 2021-01-12T07:52:37Z
day: '14'
ddc:
- '004'
department:
- _id: ToHe
- _id: CaGu
doi: 10.1109/QEST.2010.33
file:
- access_level: open_access
checksum: 38707b149d2174f01be406e794ffa849
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:09:03Z
date_updated: 2020-07-14T12:46:17Z
file_id: '4726'
file_name: IST-2012-63-v1+1_SABRE-A_tool_for_the_stochastic_analysis_of_biochemical_reaction_networks.pdf
file_size: 433824
relation: main_file
file_date_updated: 2020-07-14T12:46:17Z
has_accepted_license: '1'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Submitted Version
page: 193 - 194
publication_status: published
publisher: IEEE
publist_id: '2339'
pubrep_id: '63'
quality_controlled: '1'
scopus_import: 1
status: public
title: 'SABRE: A tool for the stochastic analysis of biochemical reaction networks'
type: conference
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
year: '2010'
...
---
_id: '3843'
abstract:
- lang: eng
text: "Within systems biology there is an increasing interest in the stochastic
behavior of biochemical reaction networks. An appropriate stochastic description
is provided by the chemical master equation, which represents a continuous- time
Markov chain (CTMC).\r\nStandard Uniformization (SU) is an efficient method for
the transient analysis of CTMCs. For systems with very different time scales,
such as biochemical reaction networks, SU is computationally expensive. In these
cases, a variant of SU, called adaptive uniformization (AU), is known to reduce
the large number of iterations needed by SU. The additional difficulty of AU is
that it requires the solution of a birth process.\r\nIn this paper we present
an on-the-fly variant of AU, where we improve the original algorithm for AU at
the cost of a small approximation error. By means of several examples, we show
that our approach is particularly well-suited for biochemical reaction networks."
acknowledgement: This research has been partially funded by the Swiss National Science
Foundation under grant 205321-111840 and by the Cluster of Excellence on Multimodal
Computing and Interaction at Saarland University.
article_processing_charge: No
author:
- first_name: Frédéric
full_name: Didier, Frédéric
last_name: Didier
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Maria
full_name: Mateescu, Maria
id: 3B43276C-F248-11E8-B48F-1D18A9856A87
last_name: Mateescu
- first_name: Verena
full_name: Wolf, Verena
last_name: Wolf
citation:
ama: 'Didier F, Henzinger TA, Mateescu M, Wolf V. Fast adaptive uniformization of
the chemical master equation. In: Vol 4. IEEE; 2009:118-127. doi:10.1109/HiBi.2009.23'
apa: 'Didier, F., Henzinger, T. A., Mateescu, M., & Wolf, V. (2009). Fast adaptive
uniformization of the chemical master equation (Vol. 4, pp. 118–127). Presented
at the HIBI: High-Performance Computational Systems Biology, Trento, Italy: IEEE.
https://doi.org/10.1109/HiBi.2009.23'
chicago: Didier, Frédéric, Thomas A Henzinger, Maria Mateescu, and Verena Wolf.
“Fast Adaptive Uniformization of the Chemical Master Equation,” 4:118–27. IEEE,
2009. https://doi.org/10.1109/HiBi.2009.23.
ieee: 'F. Didier, T. A. Henzinger, M. Mateescu, and V. Wolf, “Fast adaptive uniformization
of the chemical master equation,” presented at the HIBI: High-Performance Computational
Systems Biology, Trento, Italy, 2009, vol. 4, no. 6, pp. 118–127.'
ista: 'Didier F, Henzinger TA, Mateescu M, Wolf V. 2009. Fast adaptive uniformization
of the chemical master equation. HIBI: High-Performance Computational Systems
Biology vol. 4, 118–127.'
mla: Didier, Frédéric, et al. Fast Adaptive Uniformization of the Chemical Master
Equation. Vol. 4, no. 6, IEEE, 2009, pp. 118–27, doi:10.1109/HiBi.2009.23.
short: F. Didier, T.A. Henzinger, M. Mateescu, V. Wolf, in:, IEEE, 2009, pp. 118–127.
conference:
end_date: 2009-10-16
location: Trento, Italy
name: 'HIBI: High-Performance Computational Systems Biology'
start_date: 2009-10-14
date_created: 2018-12-11T12:05:28Z
date_published: 2009-10-30T00:00:00Z
date_updated: 2023-02-23T11:45:05Z
day: '30'
ddc:
- '000'
department:
- _id: ToHe
- _id: CaGu
doi: 10.1109/HiBi.2009.23
file:
- access_level: open_access
checksum: 9a3bde48f43203991a0b3c6a277c2f5b
content_type: application/pdf
creator: dernst
date_created: 2020-05-19T16:33:55Z
date_updated: 2020-07-14T12:46:17Z
file_id: '7874'
file_name: 2009_HIBI_Didier.pdf
file_size: 222890
relation: main_file
file_date_updated: 2020-07-14T12:46:17Z
has_accepted_license: '1'
intvolume: ' 4'
issue: '6'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Submitted Version
page: 118 - 127
publication_status: published
publisher: IEEE
publist_id: '2348'
quality_controlled: '1'
related_material:
record:
- id: '3842'
relation: later_version
status: public
scopus_import: 1
status: public
title: Fast adaptive uniformization of the chemical master equation
type: conference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 4
year: '2009'
...