---
_id: '7165'
abstract:
- lang: eng
text: Cell division, movement and differentiation contribute to pattern formation
in developing tissues. This is the case in the vertebrate neural tube, in which
neurons differentiate in a characteristic pattern from a highly dynamic proliferating
pseudostratified epithelium. To investigate how progenitor proliferation and differentiation
affect cell arrangement and growth of the neural tube, we used experimental measurements
to develop a mechanical model of the apical surface of the neuroepithelium that
incorporates the effect of interkinetic nuclear movement and spatially varying
rates of neuronal differentiation. Simulations predict that tissue growth and
the shape of lineage-related clones of cells differ with the rate of differentiation.
Growth is isotropic in regions of high differentiation, but dorsoventrally biased
in regions of low differentiation. This is consistent with experimental observations.
The absence of directional signalling in the simulations indicates that global
mechanical constraints are sufficient to explain the observed differences in anisotropy.
This provides insight into how the tissue growth rate affects cell dynamics and
growth anisotropy and opens up possibilities to study the coupling between mechanics,
pattern formation and growth in the neural tube.
article_number: dev176297
article_processing_charge: No
article_type: original
author:
- first_name: Pilar
full_name: Guerrero, Pilar
last_name: Guerrero
- first_name: Ruben
full_name: Perez-Carrasco, Ruben
last_name: Perez-Carrasco
- first_name: Marcin P
full_name: Zagórski, Marcin P
id: 343DA0DC-F248-11E8-B48F-1D18A9856A87
last_name: Zagórski
orcid: 0000-0001-7896-7762
- first_name: David
full_name: Page, David
last_name: Page
- first_name: Anna
full_name: Kicheva, Anna
id: 3959A2A0-F248-11E8-B48F-1D18A9856A87
last_name: Kicheva
orcid: 0000-0003-4509-4998
- first_name: James
full_name: Briscoe, James
last_name: Briscoe
- first_name: Karen M.
full_name: Page, Karen M.
last_name: Page
citation:
ama: Guerrero P, Perez-Carrasco R, Zagórski MP, et al. Neuronal differentiation
influences progenitor arrangement in the vertebrate neuroepithelium. Development.
2019;146(23). doi:10.1242/dev.176297
apa: Guerrero, P., Perez-Carrasco, R., Zagórski, M. P., Page, D., Kicheva, A., Briscoe,
J., & Page, K. M. (2019). Neuronal differentiation influences progenitor arrangement
in the vertebrate neuroepithelium. Development. The Company of Biologists.
https://doi.org/10.1242/dev.176297
chicago: Guerrero, Pilar, Ruben Perez-Carrasco, Marcin P Zagórski, David Page, Anna
Kicheva, James Briscoe, and Karen M. Page. “Neuronal Differentiation Influences
Progenitor Arrangement in the Vertebrate Neuroepithelium.” Development.
The Company of Biologists, 2019. https://doi.org/10.1242/dev.176297.
ieee: P. Guerrero et al., “Neuronal differentiation influences progenitor
arrangement in the vertebrate neuroepithelium,” Development, vol. 146,
no. 23. The Company of Biologists, 2019.
ista: Guerrero P, Perez-Carrasco R, Zagórski MP, Page D, Kicheva A, Briscoe J, Page
KM. 2019. Neuronal differentiation influences progenitor arrangement in the vertebrate
neuroepithelium. Development. 146(23), dev176297.
mla: Guerrero, Pilar, et al. “Neuronal Differentiation Influences Progenitor Arrangement
in the Vertebrate Neuroepithelium.” Development, vol. 146, no. 23, dev176297,
The Company of Biologists, 2019, doi:10.1242/dev.176297.
short: P. Guerrero, R. Perez-Carrasco, M.P. Zagórski, D. Page, A. Kicheva, J. Briscoe,
K.M. Page, Development 146 (2019).
date_created: 2019-12-10T14:39:50Z
date_published: 2019-12-04T00:00:00Z
date_updated: 2023-09-06T11:26:36Z
day: '04'
ddc:
- '570'
department:
- _id: AnKi
doi: 10.1242/dev.176297
ec_funded: 1
external_id:
isi:
- '000507575700004'
pmid:
- '31784457'
file:
- access_level: open_access
checksum: b6533c37dc8fbd803ffeca216e0a8b8a
content_type: application/pdf
creator: dernst
date_created: 2019-12-13T07:34:06Z
date_updated: 2020-07-14T12:47:50Z
file_id: '7177'
file_name: 2019_Development_Guerrero.pdf
file_size: 7797881
relation: main_file
file_date_updated: 2020-07-14T12:47:50Z
has_accepted_license: '1'
intvolume: ' 146'
isi: 1
issue: '23'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: B6FC0238-B512-11E9-945C-1524E6697425
call_identifier: H2020
grant_number: '680037'
name: Coordination of Patterning And Growth In the Spinal Cord
publication: Development
publication_identifier:
eissn:
- 1477-9129
issn:
- 0950-1991
publication_status: published
publisher: The Company of Biologists
quality_controlled: '1'
scopus_import: '1'
status: public
title: Neuronal differentiation influences progenitor arrangement in the vertebrate
neuroepithelium
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: 146
year: '2019'
...
---
_id: '7159'
abstract:
- lang: eng
text: 'Cyber-physical systems (CPS) and the Internet-of-Things (IoT) result in a
tremendous amount of generated, measured and recorded time-series data. Extracting
temporal segments that encode patterns with useful information out of these huge
amounts of data is an extremely difficult problem. We propose shape expressions
as a declarative formalism for specifying, querying and extracting sophisticated
temporal patterns from possibly noisy data. Shape expressions are regular expressions
with arbitrary (linear, exponential, sinusoidal, etc.) shapes with parameters
as atomic predicates and additional constraints on these parameters. We equip
shape expressions with a novel noisy semantics that combines regular expression
matching semantics with statistical regression. We characterize essential properties
of the formalism and propose an efficient approximate shape expression matching
procedure. We demonstrate the wide applicability of this technique on two case
studies. '
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Dejan
full_name: Ničković, Dejan
last_name: Ničković
- first_name: Xin
full_name: Qin, Xin
last_name: Qin
- first_name: Thomas
full_name: Ferrere, Thomas
id: 40960E6E-F248-11E8-B48F-1D18A9856A87
last_name: Ferrere
orcid: 0000-0001-5199-3143
- first_name: Cristinel
full_name: Mateis, Cristinel
last_name: Mateis
- first_name: Jyotirmoy
full_name: Deshmukh, Jyotirmoy
last_name: Deshmukh
citation:
ama: 'Ničković D, Qin X, Ferrere T, Mateis C, Deshmukh J. Shape expressions for
specifying and extracting signal features. In: 19th International Conference
on Runtime Verification. Vol 11757. Springer Nature; 2019:292-309. doi:10.1007/978-3-030-32079-9_17'
apa: 'Ničković, D., Qin, X., Ferrere, T., Mateis, C., & Deshmukh, J. (2019).
Shape expressions for specifying and extracting signal features. In 19th International
Conference on Runtime Verification (Vol. 11757, pp. 292–309). Porto, Portugal:
Springer Nature. https://doi.org/10.1007/978-3-030-32079-9_17'
chicago: Ničković, Dejan, Xin Qin, Thomas Ferrere, Cristinel Mateis, and Jyotirmoy
Deshmukh. “Shape Expressions for Specifying and Extracting Signal Features.” In
19th International Conference on Runtime Verification, 11757:292–309. Springer
Nature, 2019. https://doi.org/10.1007/978-3-030-32079-9_17.
ieee: D. Ničković, X. Qin, T. Ferrere, C. Mateis, and J. Deshmukh, “Shape expressions
for specifying and extracting signal features,” in 19th International Conference
on Runtime Verification, Porto, Portugal, 2019, vol. 11757, pp. 292–309.
ista: 'Ničković D, Qin X, Ferrere T, Mateis C, Deshmukh J. 2019. Shape expressions
for specifying and extracting signal features. 19th International Conference on
Runtime Verification. RV: Runtime Verification, LNCS, vol. 11757, 292–309.'
mla: Ničković, Dejan, et al. “Shape Expressions for Specifying and Extracting Signal
Features.” 19th International Conference on Runtime Verification, vol.
11757, Springer Nature, 2019, pp. 292–309, doi:10.1007/978-3-030-32079-9_17.
short: D. Ničković, X. Qin, T. Ferrere, C. Mateis, J. Deshmukh, in:, 19th International
Conference on Runtime Verification, Springer Nature, 2019, pp. 292–309.
conference:
end_date: 2019-10-11
location: Porto, Portugal
name: 'RV: Runtime Verification'
start_date: 2019-10-08
date_created: 2019-12-09T08:47:55Z
date_published: 2019-10-01T00:00:00Z
date_updated: 2023-09-06T11:24:10Z
day: '01'
department:
- _id: ToHe
doi: 10.1007/978-3-030-32079-9_17
external_id:
isi:
- '000570006300017'
intvolume: ' 11757'
isi: 1
language:
- iso: eng
month: '10'
oa_version: None
page: 292-309
project:
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
- _id: 25F2ACDE-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S11402-N23
name: Rigorous Systems Engineering
publication: 19th International Conference on Runtime Verification
publication_identifier:
isbn:
- '9783030320782'
- '9783030320799'
issn:
- 0302-9743
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Shape expressions for specifying and extracting signal features
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 11757
year: '2019'
...
---
_id: '7183'
abstract:
- lang: eng
text: 'A probabilistic vector addition system with states (pVASS) is a finite state
Markov process augmented with non-negative integer counters that can be incremented
or decremented during each state transition, blocking any behaviour that would
cause a counter to decrease below zero. The pVASS can be used as abstractions
of probabilistic programs with many decidable properties. The use of pVASS as
abstractions requires the presence of nondeterminism in the model. In this paper,
we develop techniques for checking fast termination of pVASS with nondeterminism.
That is, for every initial configuration of size n, we consider the worst expected
number of transitions needed to reach a configuration with some counter negative
(the expected termination time). We show that the problem whether the asymptotic
expected termination time is linear is decidable in polynomial time for a certain
natural class of pVASS with nondeterminism. Furthermore, we show the following
dichotomy: if the asymptotic expected termination time is not linear, then it
is at least quadratic, i.e., in Ω(n2).'
alternative_title:
- LNCS
article_processing_charge: No
author:
- first_name: Tomás
full_name: Brázdil, Tomás
last_name: Brázdil
- first_name: Krishnendu
full_name: Chatterjee, Krishnendu
id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87
last_name: Chatterjee
orcid: 0000-0002-4561-241X
- first_name: Antonín
full_name: Kucera, Antonín
last_name: Kucera
- first_name: Petr
full_name: Novotný, Petr
id: 3CC3B868-F248-11E8-B48F-1D18A9856A87
last_name: Novotný
- first_name: Dominik
full_name: Velan, Dominik
last_name: Velan
citation:
ama: 'Brázdil T, Chatterjee K, Kucera A, Novotný P, Velan D. Deciding fast termination
for probabilistic VASS with nondeterminism. In: International Symposium on
Automated Technology for Verification and Analysis. Vol 11781. Springer Nature;
2019:462-478. doi:10.1007/978-3-030-31784-3_27'
apa: 'Brázdil, T., Chatterjee, K., Kucera, A., Novotný, P., & Velan, D. (2019).
Deciding fast termination for probabilistic VASS with nondeterminism. In International
Symposium on Automated Technology for Verification and Analysis (Vol. 11781,
pp. 462–478). Taipei, Taiwan: Springer Nature. https://doi.org/10.1007/978-3-030-31784-3_27'
chicago: Brázdil, Tomás, Krishnendu Chatterjee, Antonín Kucera, Petr Novotný, and
Dominik Velan. “Deciding Fast Termination for Probabilistic VASS with Nondeterminism.”
In International Symposium on Automated Technology for Verification and Analysis,
11781:462–78. Springer Nature, 2019. https://doi.org/10.1007/978-3-030-31784-3_27.
ieee: T. Brázdil, K. Chatterjee, A. Kucera, P. Novotný, and D. Velan, “Deciding
fast termination for probabilistic VASS with nondeterminism,” in International
Symposium on Automated Technology for Verification and Analysis, Taipei, Taiwan,
2019, vol. 11781, pp. 462–478.
ista: 'Brázdil T, Chatterjee K, Kucera A, Novotný P, Velan D. 2019. Deciding fast
termination for probabilistic VASS with nondeterminism. International Symposium
on Automated Technology for Verification and Analysis. ATVA: Automated TEchnology
for Verification and Analysis, LNCS, vol. 11781, 462–478.'
mla: Brázdil, Tomás, et al. “Deciding Fast Termination for Probabilistic VASS with
Nondeterminism.” International Symposium on Automated Technology for Verification
and Analysis, vol. 11781, Springer Nature, 2019, pp. 462–78, doi:10.1007/978-3-030-31784-3_27.
short: T. Brázdil, K. Chatterjee, A. Kucera, P. Novotný, D. Velan, in:, International
Symposium on Automated Technology for Verification and Analysis, Springer Nature,
2019, pp. 462–478.
conference:
end_date: 2019-10-31
location: Taipei, Taiwan
name: 'ATVA: Automated TEchnology for Verification and Analysis'
start_date: 2019-10-28
date_created: 2019-12-15T23:00:44Z
date_published: 2019-10-21T00:00:00Z
date_updated: 2023-09-06T12:40:58Z
day: '21'
department:
- _id: KrCh
doi: 10.1007/978-3-030-31784-3_27
external_id:
arxiv:
- '1907.11010'
isi:
- '000723515700027'
intvolume: ' 11781'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1907.11010
month: '10'
oa: 1
oa_version: Preprint
page: 462-478
project:
- _id: 25832EC2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
publication: International Symposium on Automated Technology for Verification and
Analysis
publication_identifier:
eissn:
- '16113349'
isbn:
- '9783030317836'
issn:
- '03029743'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Deciding fast termination for probabilistic VASS with nondeterminism
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 11781
year: '2019'
...
---
_id: '7182'
abstract:
- lang: eng
text: During infection pathogens secrete small molecules, termed effectors, to manipulate
and control the interaction with their specific hosts. Both the pathogen and the
plant are under high selective pressure to rapidly adapt and co-evolve in what
is usually referred to as molecular arms race. Components of the host’s immune
system form a network that processes information about molecules with a foreign
origin and damage-associated signals, integrating them with developmental and
abiotic cues to adapt the plant’s responses. Both in the case of nucleotide-binding
leucine-rich repeat receptors and leucine-rich repeat receptor kinases interaction
networks have been extensively characterized. However, little is known on whether
pathogenic effectors form complexes to overcome plant immunity and promote disease.
Ustilago maydis, a biotrophic fungal pathogen that infects maize plants, produces
effectors that target hubs in the immune network of the host cell. Here we assess
the capability of U. maydis effector candidates to interact with each other, which
may play a crucial role during the infection process. Using a systematic yeast-two-hybrid
approach and based on a preliminary pooled screen, we selected 63 putative effectors
for one-on-one matings with a library of nearly 300 effector candidates. We found
that 126 of these effector candidates interacted either with themselves or other
predicted effectors. Although the functional relevance of the observed interactions
remains elusive, we propose that the observed abundance in complex formation between
effectors adds an additional level of complexity to effector research and should
be taken into consideration when studying effector evolution and function. Based
on this fundamental finding, we suggest various scenarios which could evolutionarily
drive the formation and stabilization of an effector interactome.
article_number: '1437'
article_processing_charge: No
article_type: original
author:
- first_name: André
full_name: Alcântara, André
last_name: Alcântara
- first_name: Jason
full_name: Bosch, Jason
last_name: Bosch
- first_name: Fahimeh
full_name: Nazari, Fahimeh
last_name: Nazari
- first_name: Gesa
full_name: Hoffmann, Gesa
last_name: Hoffmann
- first_name: Michelle C
full_name: Gallei, Michelle C
id: 35A03822-F248-11E8-B48F-1D18A9856A87
last_name: Gallei
orcid: 0000-0003-1286-7368
- first_name: Simon
full_name: Uhse, Simon
last_name: Uhse
- first_name: Martin A.
full_name: Darino, Martin A.
last_name: Darino
- first_name: Toluwase
full_name: Olukayode, Toluwase
last_name: Olukayode
- first_name: Daniel
full_name: Reumann, Daniel
last_name: Reumann
- first_name: Laura
full_name: Baggaley, Laura
last_name: Baggaley
- first_name: Armin
full_name: Djamei, Armin
last_name: Djamei
citation:
ama: Alcântara A, Bosch J, Nazari F, et al. Systematic Y2H screening reveals extensive
effector-complex formation. Frontiers in Plant Science. 2019;10(11). doi:10.3389/fpls.2019.01437
apa: Alcântara, A., Bosch, J., Nazari, F., Hoffmann, G., Gallei, M. C., Uhse, S.,
… Djamei, A. (2019). Systematic Y2H screening reveals extensive effector-complex
formation. Frontiers in Plant Science. Frontiers. https://doi.org/10.3389/fpls.2019.01437
chicago: Alcântara, André, Jason Bosch, Fahimeh Nazari, Gesa Hoffmann, Michelle
C Gallei, Simon Uhse, Martin A. Darino, et al. “Systematic Y2H Screening Reveals
Extensive Effector-Complex Formation.” Frontiers in Plant Science. Frontiers,
2019. https://doi.org/10.3389/fpls.2019.01437.
ieee: A. Alcântara et al., “Systematic Y2H screening reveals extensive effector-complex
formation,” Frontiers in Plant Science, vol. 10, no. 11. Frontiers, 2019.
ista: Alcântara A, Bosch J, Nazari F, Hoffmann G, Gallei MC, Uhse S, Darino MA,
Olukayode T, Reumann D, Baggaley L, Djamei A. 2019. Systematic Y2H screening reveals
extensive effector-complex formation. Frontiers in Plant Science. 10(11), 1437.
mla: Alcântara, André, et al. “Systematic Y2H Screening Reveals Extensive Effector-Complex
Formation.” Frontiers in Plant Science, vol. 10, no. 11, 1437, Frontiers,
2019, doi:10.3389/fpls.2019.01437.
short: A. Alcântara, J. Bosch, F. Nazari, G. Hoffmann, M.C. Gallei, S. Uhse, M.A.
Darino, T. Olukayode, D. Reumann, L. Baggaley, A. Djamei, Frontiers in Plant Science
10 (2019).
date_created: 2019-12-15T23:00:43Z
date_published: 2019-11-14T00:00:00Z
date_updated: 2023-09-06T14:33:46Z
day: '14'
ddc:
- '580'
department:
- _id: JiFr
doi: 10.3389/fpls.2019.01437
external_id:
isi:
- '000499821700001'
pmid:
- '31803201'
file:
- access_level: open_access
checksum: 995aa838aec2064d93550de82b40bbd1
content_type: application/pdf
creator: dernst
date_created: 2019-12-16T07:58:43Z
date_updated: 2020-07-14T12:47:52Z
file_id: '7185'
file_name: 2019_FrontiersPlant_Alcantara.pdf
file_size: 1532505
relation: main_file
file_date_updated: 2020-07-14T12:47:52Z
has_accepted_license: '1'
intvolume: ' 10'
isi: 1
issue: '11'
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
pmid: 1
publication: Frontiers in Plant Science
publication_identifier:
eissn:
- 1664462X
publication_status: published
publisher: Frontiers
quality_controlled: '1'
scopus_import: '1'
status: public
title: Systematic Y2H screening reveals extensive effector-complex formation
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: 10
year: '2019'
...
---
_id: '7180'
abstract:
- lang: eng
text: Arabidopsis PIN2 protein directs transport of the phytohormone auxin from
the root tip into the root elongation zone. Variation in hormone transport, which
depends on a delicate interplay between PIN2 sorting to and from polar plasma
membrane domains, determines root growth. By employing a constitutively degraded
version of PIN2, we identify brassinolides as antagonists of PIN2 endocytosis.
This response does not require de novo protein synthesis, but involves early events
in canonical brassinolide signaling. Brassinolide-controlled adjustments in PIN2
sorting and intracellular distribution governs formation of a lateral PIN2 gradient
in gravistimulated roots, coinciding with adjustments in auxin signaling and directional
root growth. Strikingly, simulations indicate that PIN2 gradient formation is
no prerequisite for root bending but rather dampens asymmetric auxin flow and
signaling. Crosstalk between brassinolide signaling and endocytic PIN2 sorting,
thus, appears essential for determining the rate of gravity-induced root curvature
via attenuation of differential cell elongation.
article_number: '5516'
article_processing_charge: No
article_type: original
author:
- first_name: Katarzyna
full_name: Retzer, Katarzyna
last_name: Retzer
- first_name: Maria
full_name: Akhmanova, Maria
id: 3425EC26-F248-11E8-B48F-1D18A9856A87
last_name: Akhmanova
orcid: 0000-0003-1522-3162
- first_name: Nataliia
full_name: Konstantinova, Nataliia
last_name: Konstantinova
- first_name: Kateřina
full_name: Malínská, Kateřina
last_name: Malínská
- first_name: Johannes
full_name: Leitner, Johannes
last_name: Leitner
- first_name: Jan
full_name: Petrášek, Jan
last_name: Petrášek
- first_name: Christian
full_name: Luschnig, Christian
last_name: Luschnig
citation:
ama: Retzer K, Akhmanova M, Konstantinova N, et al. Brassinosteroid signaling delimits
root gravitropism via sorting of the Arabidopsis PIN2 auxin transporter. Nature
Communications. 2019;10. doi:10.1038/s41467-019-13543-1
apa: Retzer, K., Akhmanova, M., Konstantinova, N., Malínská, K., Leitner, J., Petrášek,
J., & Luschnig, C. (2019). Brassinosteroid signaling delimits root gravitropism
via sorting of the Arabidopsis PIN2 auxin transporter. Nature Communications.
Springer Nature. https://doi.org/10.1038/s41467-019-13543-1
chicago: Retzer, Katarzyna, Maria Akhmanova, Nataliia Konstantinova, Kateřina Malínská,
Johannes Leitner, Jan Petrášek, and Christian Luschnig. “Brassinosteroid Signaling
Delimits Root Gravitropism via Sorting of the Arabidopsis PIN2 Auxin Transporter.”
Nature Communications. Springer Nature, 2019. https://doi.org/10.1038/s41467-019-13543-1.
ieee: K. Retzer et al., “Brassinosteroid signaling delimits root gravitropism
via sorting of the Arabidopsis PIN2 auxin transporter,” Nature Communications,
vol. 10. Springer Nature, 2019.
ista: Retzer K, Akhmanova M, Konstantinova N, Malínská K, Leitner J, Petrášek J,
Luschnig C. 2019. Brassinosteroid signaling delimits root gravitropism via sorting
of the Arabidopsis PIN2 auxin transporter. Nature Communications. 10, 5516.
mla: Retzer, Katarzyna, et al. “Brassinosteroid Signaling Delimits Root Gravitropism
via Sorting of the Arabidopsis PIN2 Auxin Transporter.” Nature Communications,
vol. 10, 5516, Springer Nature, 2019, doi:10.1038/s41467-019-13543-1.
short: K. Retzer, M. Akhmanova, N. Konstantinova, K. Malínská, J. Leitner, J. Petrášek,
C. Luschnig, Nature Communications 10 (2019).
date_created: 2019-12-15T23:00:43Z
date_published: 2019-12-01T00:00:00Z
date_updated: 2023-09-06T14:08:21Z
day: '01'
ddc:
- '570'
department:
- _id: DaSi
doi: 10.1038/s41467-019-13543-1
external_id:
isi:
- '000500508100001'
pmid:
- '31797871'
file:
- access_level: open_access
checksum: 77e8720a8e0f3091b98159f85be40893
content_type: application/pdf
creator: dernst
date_created: 2019-12-16T07:37:50Z
date_updated: 2020-07-14T12:47:52Z
file_id: '7184'
file_name: 2019_NatureComm_Retzer.pdf
file_size: 5156533
relation: main_file
file_date_updated: 2020-07-14T12:47:52Z
has_accepted_license: '1'
intvolume: ' 10'
isi: 1
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 264CBBAC-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: M02379
name: Modeling epithelial tissue mechanics during cell invasion
publication: Nature Communications
publication_identifier:
eissn:
- '20411723'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
scopus_import: '1'
status: public
title: Brassinosteroid signaling delimits root gravitropism via sorting of the Arabidopsis
PIN2 auxin transporter
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: 10
year: '2019'
...
---
_id: '7181'
abstract:
- lang: eng
text: Multiple sequence alignments (MSAs) are used for structural1,2 and evolutionary
predictions1,2, but the complexity of aligning large datasets requires the use
of approximate solutions3, including the progressive algorithm4. Progressive MSA
methods start by aligning the most similar sequences and subsequently incorporate
the remaining sequences, from leaf-to-root, based on a guide-tree. Their accuracy
declines substantially as the number of sequences is scaled up5. We introduce
a regressive algorithm that enables MSA of up to 1.4 million sequences on a standard
workstation and substantially improves accuracy on datasets larger than 10,000
sequences. Our regressive algorithm works the other way around to the progressive
algorithm and begins by aligning the most dissimilar sequences. It uses an efficient
divide-and-conquer strategy to run third-party alignment methods in linear time,
regardless of their original complexity. Our approach will enable analyses of
extremely large genomic datasets such as the recently announced Earth BioGenome
Project, which comprises 1.5 million eukaryotic genomes6.
article_processing_charge: No
article_type: original
author:
- first_name: Edgar
full_name: Garriga, Edgar
last_name: Garriga
- first_name: Paolo
full_name: Di Tommaso, Paolo
last_name: Di Tommaso
- first_name: Cedrik
full_name: Magis, Cedrik
last_name: Magis
- first_name: Ionas
full_name: Erb, Ionas
last_name: Erb
- first_name: Leila
full_name: Mansouri, Leila
last_name: Mansouri
- first_name: Athanasios
full_name: Baltzis, Athanasios
last_name: Baltzis
- first_name: Hafid
full_name: Laayouni, Hafid
last_name: Laayouni
- first_name: Fyodor
full_name: Kondrashov, Fyodor
id: 44FDEF62-F248-11E8-B48F-1D18A9856A87
last_name: Kondrashov
orcid: 0000-0001-8243-4694
- first_name: Evan
full_name: Floden, Evan
last_name: Floden
- first_name: Cedric
full_name: Notredame, Cedric
last_name: Notredame
citation:
ama: Garriga E, Di Tommaso P, Magis C, et al. Large multiple sequence alignments
with a root-to-leaf regressive method. Nature Biotechnology. 2019;37(12):1466-1470.
doi:10.1038/s41587-019-0333-6
apa: Garriga, E., Di Tommaso, P., Magis, C., Erb, I., Mansouri, L., Baltzis, A.,
… Notredame, C. (2019). Large multiple sequence alignments with a root-to-leaf
regressive method. Nature Biotechnology. Springer Nature. https://doi.org/10.1038/s41587-019-0333-6
chicago: Garriga, Edgar, Paolo Di Tommaso, Cedrik Magis, Ionas Erb, Leila Mansouri,
Athanasios Baltzis, Hafid Laayouni, Fyodor Kondrashov, Evan Floden, and Cedric
Notredame. “Large Multiple Sequence Alignments with a Root-to-Leaf Regressive
Method.” Nature Biotechnology. Springer Nature, 2019. https://doi.org/10.1038/s41587-019-0333-6.
ieee: E. Garriga et al., “Large multiple sequence alignments with a root-to-leaf
regressive method,” Nature Biotechnology, vol. 37, no. 12. Springer Nature,
pp. 1466–1470, 2019.
ista: Garriga E, Di Tommaso P, Magis C, Erb I, Mansouri L, Baltzis A, Laayouni H,
Kondrashov F, Floden E, Notredame C. 2019. Large multiple sequence alignments
with a root-to-leaf regressive method. Nature Biotechnology. 37(12), 1466–1470.
mla: Garriga, Edgar, et al. “Large Multiple Sequence Alignments with a Root-to-Leaf
Regressive Method.” Nature Biotechnology, vol. 37, no. 12, Springer Nature,
2019, pp. 1466–70, doi:10.1038/s41587-019-0333-6.
short: E. Garriga, P. Di Tommaso, C. Magis, I. Erb, L. Mansouri, A. Baltzis, H.
Laayouni, F. Kondrashov, E. Floden, C. Notredame, Nature Biotechnology 37 (2019)
1466–1470.
date_created: 2019-12-15T23:00:43Z
date_published: 2019-12-01T00:00:00Z
date_updated: 2023-09-06T14:32:52Z
day: '01'
department:
- _id: FyKo
doi: 10.1038/s41587-019-0333-6
ec_funded: 1
external_id:
isi:
- '000500748900021'
pmid:
- '31792410'
intvolume: ' 37'
isi: 1
issue: '12'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6894943/
month: '12'
oa: 1
oa_version: Submitted Version
page: 1466-1470
pmid: 1
project:
- _id: 26580278-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '771209'
name: Characterizing the fitness landscape on population and global scales
publication: Nature Biotechnology
publication_identifier:
eissn:
- '15461696'
issn:
- '10870156'
publication_status: published
publisher: Springer Nature
quality_controlled: '1'
related_material:
record:
- id: '13059'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Large multiple sequence alignments with a root-to-leaf regressive method
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 37
year: '2019'
...
---
_id: '7202'
abstract:
- lang: eng
text: The cerebral cortex contains multiple areas with distinctive cytoarchitectonical
patterns, but the cellular mechanisms underlying the emergence of this diversity
remain unclear. Here, we have investigated the neuronal output of individual progenitor
cells in the developing mouse neocortex using a combination of methods that together
circumvent the biases and limitations of individual approaches. Our experimental
results indicate that progenitor cells generate pyramidal cell lineages with a
wide range of sizes and laminar configurations. Mathematical modelling indicates
that these outcomes are compatible with a stochastic model of cortical neurogenesis
in which progenitor cells undergo a series of probabilistic decisions that lead
to the specification of very heterogeneous progenies. Our findings support a mechanism
for cortical neurogenesis whose flexibility would make it capable to generate
the diverse cytoarchitectures that characterize distinct neocortical areas.
article_number: e51381
article_processing_charge: No
article_type: original
author:
- first_name: Alfredo
full_name: Llorca, Alfredo
last_name: Llorca
- first_name: Gabriele
full_name: Ciceri, Gabriele
last_name: Ciceri
- first_name: Robert J
full_name: Beattie, Robert J
id: 2E26DF60-F248-11E8-B48F-1D18A9856A87
last_name: Beattie
orcid: 0000-0002-8483-8753
- first_name: Fong Kuan
full_name: Wong, Fong Kuan
last_name: Wong
- first_name: Giovanni
full_name: Diana, Giovanni
last_name: Diana
- first_name: Eleni
full_name: Serafeimidou-Pouliou, Eleni
last_name: Serafeimidou-Pouliou
- first_name: Marian
full_name: Fernández-Otero, Marian
last_name: Fernández-Otero
- first_name: Carmen
full_name: Streicher, Carmen
id: 36BCB99C-F248-11E8-B48F-1D18A9856A87
last_name: Streicher
- first_name: Sebastian J.
full_name: Arnold, Sebastian J.
last_name: Arnold
- first_name: Martin
full_name: Meyer, Martin
last_name: Meyer
- first_name: Simon
full_name: Hippenmeyer, Simon
id: 37B36620-F248-11E8-B48F-1D18A9856A87
last_name: Hippenmeyer
orcid: 0000-0003-2279-1061
- first_name: Miguel
full_name: Maravall, Miguel
last_name: Maravall
- first_name: Oscar
full_name: Marín, Oscar
last_name: Marín
citation:
ama: Llorca A, Ciceri G, Beattie RJ, et al. A stochastic framework of neurogenesis
underlies the assembly of neocortical cytoarchitecture. eLife. 2019;8.
doi:10.7554/eLife.51381
apa: Llorca, A., Ciceri, G., Beattie, R. J., Wong, F. K., Diana, G., Serafeimidou-Pouliou,
E., … Marín, O. (2019). A stochastic framework of neurogenesis underlies the assembly
of neocortical cytoarchitecture. ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.51381
chicago: Llorca, Alfredo, Gabriele Ciceri, Robert J Beattie, Fong Kuan Wong, Giovanni
Diana, Eleni Serafeimidou-Pouliou, Marian Fernández-Otero, et al. “A Stochastic
Framework of Neurogenesis Underlies the Assembly of Neocortical Cytoarchitecture.”
ELife. eLife Sciences Publications, 2019. https://doi.org/10.7554/eLife.51381.
ieee: A. Llorca et al., “A stochastic framework of neurogenesis underlies
the assembly of neocortical cytoarchitecture,” eLife, vol. 8. eLife Sciences
Publications, 2019.
ista: Llorca A, Ciceri G, Beattie RJ, Wong FK, Diana G, Serafeimidou-Pouliou E,
Fernández-Otero M, Streicher C, Arnold SJ, Meyer M, Hippenmeyer S, Maravall M,
Marín O. 2019. A stochastic framework of neurogenesis underlies the assembly of
neocortical cytoarchitecture. eLife. 8, e51381.
mla: Llorca, Alfredo, et al. “A Stochastic Framework of Neurogenesis Underlies the
Assembly of Neocortical Cytoarchitecture.” ELife, vol. 8, e51381, eLife
Sciences Publications, 2019, doi:10.7554/eLife.51381.
short: A. Llorca, G. Ciceri, R.J. Beattie, F.K. Wong, G. Diana, E. Serafeimidou-Pouliou,
M. Fernández-Otero, C. Streicher, S.J. Arnold, M. Meyer, S. Hippenmeyer, M. Maravall,
O. Marín, ELife 8 (2019).
date_created: 2019-12-22T23:00:42Z
date_published: 2019-11-18T00:00:00Z
date_updated: 2023-09-06T14:38:39Z
day: '18'
ddc:
- '570'
department:
- _id: SiHi
doi: 10.7554/eLife.51381
ec_funded: 1
external_id:
isi:
- '000508156800001'
pmid:
- '31736464'
file:
- access_level: open_access
checksum: b460ecc33e1a68265e7adea775021f3a
content_type: application/pdf
creator: dernst
date_created: 2020-02-18T15:19:26Z
date_updated: 2020-07-14T12:47:53Z
file_id: '7503'
file_name: 2019_eLife_Llorca.pdf
file_size: 2960543
relation: main_file
file_date_updated: 2020-07-14T12:47:53Z
has_accepted_license: '1'
intvolume: ' 8'
isi: 1
language:
- iso: eng
month: '11'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 260018B0-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '725780'
name: Principles of Neural Stem Cell Lineage Progression in Cerebral Cortex Development
- _id: 264E56E2-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: M02416
name: Molecular Mechanisms Regulating Gliogenesis in the Cerebral Cortex
publication: eLife
publication_identifier:
eissn:
- 2050084X
publication_status: published
publisher: eLife Sciences Publications
quality_controlled: '1'
scopus_import: '1'
status: public
title: A stochastic framework of neurogenesis underlies the assembly of neocortical
cytoarchitecture
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: 8
year: '2019'
...
---
_id: '7179'
abstract:
- lang: eng
text: Glutamate is the major excitatory neurotransmitter in the CNS binding to a
variety of glutamate receptors. Metabotropic glutamate receptors (mGluR1 to mGluR8)
can act excitatory or inhibitory, depending on associated signal cascades. Expression
and localization of inhibitory acting mGluRs at inner hair cells (IHCs) in the
cochlea are largely unknown. Here, we analyzed expression of mGluR2, mGluR3, mGluR4,
mGluR6, mGluR7, and mGluR8 and investigated their localization with respect to
the presynaptic ribbon of IHC synapses. We detected transcripts for mGluR2, mGluR3,
and mGluR4 as well as for mGluR7a, mGluR7b, mGluR8a, and mGluR8b splice variants.
Using receptor-specific antibodies in cochlear wholemounts, we found expression
of mGluR2, mGluR4, and mGluR8b close to presynaptic ribbons. Super resolution
and confocal microscopy in combination with 3-dimensional reconstructions indicated
a postsynaptic localization of mGluR2 that overlaps with postsynaptic density
protein 95 on dendrites of afferent type I spiral ganglion neurons. In contrast,
mGluR4 and mGluR8b were expressed at the presynapse close to IHC ribbons. In summary,
we localized in detail 3 mGluR types at IHC ribbon synapses, providing a fundament
for new therapeutical strategies that could protect the cochlea against noxious
stimuli and excitotoxicity.
article_processing_charge: No
article_type: original
author:
- first_name: Lisa
full_name: Klotz, Lisa
last_name: Klotz
- first_name: Olaf
full_name: Wendler, Olaf
last_name: Wendler
- first_name: Renato
full_name: Frischknecht, Renato
last_name: Frischknecht
- first_name: Ryuichi
full_name: Shigemoto, Ryuichi
id: 499F3ABC-F248-11E8-B48F-1D18A9856A87
last_name: Shigemoto
orcid: 0000-0001-8761-9444
- first_name: Holger
full_name: Schulze, Holger
last_name: Schulze
- first_name: Ralf
full_name: Enz, Ralf
last_name: Enz
citation:
ama: Klotz L, Wendler O, Frischknecht R, Shigemoto R, Schulze H, Enz R. Localization
of group II and III metabotropic glutamate receptors at pre- and postsynaptic
sites of inner hair cell ribbon synapses. FASEB Journal. 2019;33(12):13734-13746.
doi:10.1096/fj.201901543R
apa: Klotz, L., Wendler, O., Frischknecht, R., Shigemoto, R., Schulze, H., &
Enz, R. (2019). Localization of group II and III metabotropic glutamate receptors
at pre- and postsynaptic sites of inner hair cell ribbon synapses. FASEB Journal.
FASEB. https://doi.org/10.1096/fj.201901543R
chicago: Klotz, Lisa, Olaf Wendler, Renato Frischknecht, Ryuichi Shigemoto, Holger
Schulze, and Ralf Enz. “Localization of Group II and III Metabotropic Glutamate
Receptors at Pre- and Postsynaptic Sites of Inner Hair Cell Ribbon Synapses.”
FASEB Journal. FASEB, 2019. https://doi.org/10.1096/fj.201901543R.
ieee: L. Klotz, O. Wendler, R. Frischknecht, R. Shigemoto, H. Schulze, and R. Enz,
“Localization of group II and III metabotropic glutamate receptors at pre- and
postsynaptic sites of inner hair cell ribbon synapses,” FASEB Journal,
vol. 33, no. 12. FASEB, pp. 13734–13746, 2019.
ista: Klotz L, Wendler O, Frischknecht R, Shigemoto R, Schulze H, Enz R. 2019. Localization
of group II and III metabotropic glutamate receptors at pre- and postsynaptic
sites of inner hair cell ribbon synapses. FASEB Journal. 33(12), 13734–13746.
mla: Klotz, Lisa, et al. “Localization of Group II and III Metabotropic Glutamate
Receptors at Pre- and Postsynaptic Sites of Inner Hair Cell Ribbon Synapses.”
FASEB Journal, vol. 33, no. 12, FASEB, 2019, pp. 13734–46, doi:10.1096/fj.201901543R.
short: L. Klotz, O. Wendler, R. Frischknecht, R. Shigemoto, H. Schulze, R. Enz,
FASEB Journal 33 (2019) 13734–13746.
date_created: 2019-12-15T23:00:42Z
date_published: 2019-12-01T00:00:00Z
date_updated: 2023-09-06T14:34:36Z
day: '01'
ddc:
- '571'
- '599'
department:
- _id: RySh
doi: 10.1096/fj.201901543R
external_id:
isi:
- '000507466100054'
pmid:
- '31585509'
file:
- access_level: open_access
checksum: 79e3b72481dc32489911121cf3b7d8d0
content_type: application/pdf
creator: shigemot
date_created: 2020-12-06T17:30:09Z
date_updated: 2020-12-06T17:30:09Z
file_id: '8922'
file_name: Klotz et al 2019 EMBO Reports.pdf
file_size: 4766789
relation: main_file
success: 1
file_date_updated: 2020-12-06T17:30:09Z
has_accepted_license: '1'
intvolume: ' 33'
isi: 1
issue: '12'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Submitted Version
page: 13734-13746
pmid: 1
publication: FASEB Journal
publication_identifier:
eissn:
- '15306860'
publication_status: published
publisher: FASEB
quality_controlled: '1'
scopus_import: '1'
status: public
title: Localization of group II and III metabotropic glutamate receptors at pre- and
postsynaptic sites of inner hair cell ribbon synapses
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 33
year: '2019'
...
---
_id: '7201'
abstract:
- lang: eng
text: Applying machine learning techniques to the quickly growing data in science
and industry requires highly-scalable algorithms. Large datasets are most commonly
processed "data parallel" distributed across many nodes. Each node's contribution
to the overall gradient is summed using a global allreduce. This allreduce is
the single communication and thus scalability bottleneck for most machine learning
workloads. We observe that frequently, many gradient values are (close to) zero,
leading to sparse of sparsifyable communications. To exploit this insight, we
analyze, design, and implement a set of communication-efficient protocols for
sparse input data, in conjunction with efficient machine learning algorithms which
can leverage these primitives. Our communication protocols generalize standard
collective operations, by allowing processes to contribute arbitrary sparse input
data vectors. Our generic communication library, SparCML1, extends MPI to support
additional features, such as non-blocking (asynchronous) operations and low-precision
data representations. As such, SparCML and its techniques will form the basis
of future highly-scalable machine learning frameworks.
article_number: a11
article_processing_charge: No
author:
- first_name: Cedric
full_name: Renggli, Cedric
last_name: Renggli
- first_name: Saleh
full_name: Ashkboos, Saleh
id: 0D0A9058-257B-11EA-A937-9341C3D8BC8A
last_name: Ashkboos
- first_name: Mehdi
full_name: Aghagolzadeh, Mehdi
last_name: Aghagolzadeh
- first_name: Dan-Adrian
full_name: Alistarh, Dan-Adrian
id: 4A899BFC-F248-11E8-B48F-1D18A9856A87
last_name: Alistarh
orcid: 0000-0003-3650-940X
- first_name: Torsten
full_name: Hoefler, Torsten
last_name: Hoefler
citation:
ama: 'Renggli C, Ashkboos S, Aghagolzadeh M, Alistarh D-A, Hoefler T. SparCML: High-performance
sparse communication for machine learning. In: International Conference for
High Performance Computing, Networking, Storage and Analysis, SC. ACM; 2019.
doi:10.1145/3295500.3356222'
apa: 'Renggli, C., Ashkboos, S., Aghagolzadeh, M., Alistarh, D.-A., & Hoefler,
T. (2019). SparCML: High-performance sparse communication for machine learning.
In International Conference for High Performance Computing, Networking, Storage
and Analysis, SC. Denver, CO, Unites States: ACM. https://doi.org/10.1145/3295500.3356222'
chicago: 'Renggli, Cedric, Saleh Ashkboos, Mehdi Aghagolzadeh, Dan-Adrian Alistarh,
and Torsten Hoefler. “SparCML: High-Performance Sparse Communication for Machine
Learning.” In International Conference for High Performance Computing, Networking,
Storage and Analysis, SC. ACM, 2019. https://doi.org/10.1145/3295500.3356222.'
ieee: 'C. Renggli, S. Ashkboos, M. Aghagolzadeh, D.-A. Alistarh, and T. Hoefler,
“SparCML: High-performance sparse communication for machine learning,” in International
Conference for High Performance Computing, Networking, Storage and Analysis, SC,
Denver, CO, Unites States, 2019.'
ista: 'Renggli C, Ashkboos S, Aghagolzadeh M, Alistarh D-A, Hoefler T. 2019. SparCML:
High-performance sparse communication for machine learning. International Conference
for High Performance Computing, Networking, Storage and Analysis, SC. SC: Conference
for High Performance Computing, Networking, Storage and Analysis, a11.'
mla: 'Renggli, Cedric, et al. “SparCML: High-Performance Sparse Communication for
Machine Learning.” International Conference for High Performance Computing,
Networking, Storage and Analysis, SC, a11, ACM, 2019, doi:10.1145/3295500.3356222.'
short: C. Renggli, S. Ashkboos, M. Aghagolzadeh, D.-A. Alistarh, T. Hoefler, in:,
International Conference for High Performance Computing, Networking, Storage and
Analysis, SC, ACM, 2019.
conference:
end_date: 2019-11-19
location: Denver, CO, Unites States
name: 'SC: Conference for High Performance Computing, Networking, Storage and Analysis'
start_date: 2019-11-17
date_created: 2019-12-22T23:00:42Z
date_published: 2019-11-17T00:00:00Z
date_updated: 2023-09-06T14:37:55Z
day: '17'
department:
- _id: DaAl
doi: 10.1145/3295500.3356222
ec_funded: 1
external_id:
arxiv:
- '1802.08021'
isi:
- '000545976800011'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1802.08021
month: '11'
oa: 1
oa_version: Preprint
project:
- _id: 268A44D6-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '805223'
name: Elastic Coordination for Scalable Machine Learning
publication: International Conference for High Performance Computing, Networking,
Storage and Analysis, SC
publication_identifier:
eissn:
- '21674337'
isbn:
- '9781450362290'
issn:
- '21674329'
publication_status: published
publisher: ACM
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'SparCML: High-performance sparse communication for machine learning'
type: conference
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
year: '2019'
...
---
_id: '13067'
abstract:
- lang: eng
text: Genetic incompatibilities contribute to reproductive isolation between many
diverging populations, but it is still unclear to what extent they play a role
if divergence happens with gene flow. In contact zones between the "Crab" and
"Wave" ecotypes of the snail Littorina saxatilis divergent selection forms strong
barriers to gene flow, while the role of postzygotic barriers due to selection
against hybrids remains unclear. High embryo abortion rates in this species could
indicate the presence of such barriers. Postzygotic barriers might include genetic
incompatibilities (e.g. Dobzhansky-Muller incompatibilities) but also maladaptation,
both expected to be most pronounced in contact zones. In addition, embryo abortion
might reflect physiological stress on females and embryos independent of any genetic
stress. We examined all embryos of >500 females sampled outside and inside
contact zones of three populations in Sweden. Females' clutch size ranged from
0 to 1011 embryos (mean 130±123) and abortion rates varied between 0 and100% (mean
12%). We described female genotypes by using a hybrid index based on hundreds
of SNPs differentiated between ecotypes with which we characterised female genotypes.
We also calculated female SNP heterozygosity and inversion karyotype. Clutch size
did not vary with female hybrid index and abortion rates were only weakly related
to hybrid index in two sites but not at all in a third site. No additional variation
in abortion rate was explained by female SNP heterozygosity, but increased female
inversion heterozygosity added slightly to increased abortion. Our results show
only weak and probably biologically insignificant postzygotic barriers contributing
to ecotype divergence and the high and variable abortion rates were marginally,
if at all, explained by hybrid index of females.
article_processing_charge: No
author:
- first_name: Kerstin
full_name: Johannesson, Kerstin
last_name: Johannesson
- first_name: Zuzanna
full_name: Zagrodzka, Zuzanna
last_name: Zagrodzka
- first_name: Rui
full_name: Faria, Rui
last_name: Faria
- first_name: Anja M
full_name: Westram, Anja M
id: 3C147470-F248-11E8-B48F-1D18A9856A87
last_name: Westram
orcid: 0000-0003-1050-4969
- first_name: Roger
full_name: Butlin, Roger
last_name: Butlin
citation:
ama: 'Johannesson K, Zagrodzka Z, Faria R, Westram AM, Butlin R. Data from: Is embryo
abortion a postzygotic barrier to gene flow between Littorina ecotypes? 2019.
doi:10.5061/DRYAD.TB2RBNZWK'
apa: 'Johannesson, K., Zagrodzka, Z., Faria, R., Westram, A. M., & Butlin, R.
(2019). Data from: Is embryo abortion a postzygotic barrier to gene flow between
Littorina ecotypes? Dryad. https://doi.org/10.5061/DRYAD.TB2RBNZWK'
chicago: 'Johannesson, Kerstin, Zuzanna Zagrodzka, Rui Faria, Anja M Westram, and
Roger Butlin. “Data from: Is Embryo Abortion a Postzygotic Barrier to Gene Flow
between Littorina Ecotypes?” Dryad, 2019. https://doi.org/10.5061/DRYAD.TB2RBNZWK.'
ieee: 'K. Johannesson, Z. Zagrodzka, R. Faria, A. M. Westram, and R. Butlin, “Data
from: Is embryo abortion a postzygotic barrier to gene flow between Littorina
ecotypes?” Dryad, 2019.'
ista: 'Johannesson K, Zagrodzka Z, Faria R, Westram AM, Butlin R. 2019. Data from:
Is embryo abortion a postzygotic barrier to gene flow between Littorina ecotypes?,
Dryad, 10.5061/DRYAD.TB2RBNZWK.'
mla: 'Johannesson, Kerstin, et al. Data from: Is Embryo Abortion a Postzygotic
Barrier to Gene Flow between Littorina Ecotypes? Dryad, 2019, doi:10.5061/DRYAD.TB2RBNZWK.'
short: K. Johannesson, Z. Zagrodzka, R. Faria, A.M. Westram, R. Butlin, (2019).
date_created: 2023-05-23T16:36:27Z
date_published: 2019-12-02T00:00:00Z
date_updated: 2023-09-06T14:48:57Z
day: '02'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.5061/DRYAD.TB2RBNZWK
license: https://creativecommons.org/publicdomain/zero/1.0/
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.tb2rbnzwk
month: '12'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '7205'
relation: used_in_publication
status: public
status: public
title: 'Data from: Is embryo abortion a postzygotic barrier to gene flow between Littorina
ecotypes?'
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_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2019'
...