---
_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
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date_updated: 2020-07-14T12:47:04Z
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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
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:
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department:
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- _id: CaGu
doi: 10.1038/s41467-018-05417-9
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month: '07'
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grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
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publication_status: published
publisher: Springer Nature
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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:
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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
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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:
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content_type: application/pdf
creator: dernst
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file_id: '7830'
file_name: 2018_NatureEcology_Igler.pdf
file_size: 1135973
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file_date_updated: 2020-07-14T12:47:37Z
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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:
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- 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
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file_name: IST-2018-108-v1+1_data_figures.xlsx
file_size: 16507
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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
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title: Cell-to-cell variation and specialization in sugar metabolism in clonal bacterial
populations
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abstract:
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text: information on culture conditions, phage mutagenesis, verification and lysate
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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).
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department:
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---
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abstract:
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text: "Estimates of 13 C-arabinose and 2 H-glucose uptake from the fractions of
heavy isotopes measured\tin single cells"
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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:
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doi: 10.1371/journal.pgen.1007122.s017
month: '12'
oa_version: None
publisher: Public Library of Science
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title: Mathematical model
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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
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department:
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publisher: Public Library of Science
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---
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abstract:
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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).
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date_published: 2017-07-18T00:00:00Z
date_updated: 2023-02-23T12:55:39Z
day: '18'
department:
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- _id: NiBa
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author:
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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
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full_name: Littmann, Sten
last_name: Littmann
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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:
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doi: 10.1371/journal.pgen.1007122.s016
month: '12'
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publisher: Public Library of Science
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...