---
_id: '10736'
abstract:
- lang: eng
text: Predicting function from sequence is a central problem of biology. Currently,
this is possible only locally in a narrow mutational neighborhood around a wildtype
sequence rather than globally from any sequence. Using random mutant libraries,
we developed a biophysical model that accounts for multiple features of σ70 binding
bacterial promoters to predict constitutive gene expression levels from any sequence.
We experimentally and theoretically estimated that 10–20% of random sequences
lead to expression and ~80% of non-expressing sequences are one mutation away
from a functional promoter. The potential for generating expression from random
sequences is so pervasive that selection acts against σ70-RNA polymerase binding
sites even within inter-genic, promoter-containing regions. This pervasiveness
of σ70-binding sites implies that emergence of promoters is not the limiting step
in gene regulatory evolution. Ultimately, the inclusion of novel features of promoter
function into a mechanistic model enabled not only more accurate predictions of
gene expression levels, but also identified that promoters evolve more rapidly
than previously thought.
acknowledgement: 'We thank Hande Acar, Nicholas H Barton, Rok Grah, Tiago Paixao,
Maros Pleska, Anna Staron, and Murat Tugrul for insightful comments and input on
the manuscript. This work was supported by: Sir Henry Dale Fellowship jointly funded
by the Wellcome Trust and the Royal Society (grant number 216779/Z/19/Z) to ML;
IPC Grant from IST Austria to ML and SS; European Research Council Funding Programme
7 (2007–2013, grant agreement number 648440) to JPB.'
article_number: e64543
article_processing_charge: No
article_type: original
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Srdjan
full_name: Sarikas, Srdjan
id: 35F0286E-F248-11E8-B48F-1D18A9856A87
last_name: Sarikas
- first_name: Magdalena
full_name: Steinrueck, Magdalena
last_name: Steinrueck
- first_name: David
full_name: Toledo-Aparicio, David
last_name: Toledo-Aparicio
- 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
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: 0000-0002-6699-1455
citation:
ama: Lagator M, Sarikas S, Steinrueck M, et al. Predicting bacterial promoter function
and evolution from random sequences. eLife. 2022;11. doi:10.7554/eLife.64543
apa: Lagator, M., Sarikas, S., Steinrueck, M., Toledo-Aparicio, D., Bollback, J.
P., Guet, C. C., & Tkačik, G. (2022). Predicting bacterial promoter function
and evolution from random sequences. ELife. eLife Sciences Publications.
https://doi.org/10.7554/eLife.64543
chicago: Lagator, Mato, Srdjan Sarikas, Magdalena Steinrueck, David Toledo-Aparicio,
Jonathan P Bollback, Calin C Guet, and Gašper Tkačik. “Predicting Bacterial Promoter
Function and Evolution from Random Sequences.” ELife. eLife Sciences Publications,
2022. https://doi.org/10.7554/eLife.64543.
ieee: M. Lagator et al., “Predicting bacterial promoter function and evolution
from random sequences,” eLife, vol. 11. eLife Sciences Publications, 2022.
ista: Lagator M, Sarikas S, Steinrueck M, Toledo-Aparicio D, Bollback JP, Guet CC,
Tkačik G. 2022. Predicting bacterial promoter function and evolution from random
sequences. eLife. 11, e64543.
mla: Lagator, Mato, et al. “Predicting Bacterial Promoter Function and Evolution
from Random Sequences.” ELife, vol. 11, e64543, eLife Sciences Publications,
2022, doi:10.7554/eLife.64543.
short: M. Lagator, S. Sarikas, M. Steinrueck, D. Toledo-Aparicio, J.P. Bollback,
C.C. Guet, G. Tkačik, ELife 11 (2022).
date_created: 2022-02-06T23:01:32Z
date_published: 2022-01-26T00:00:00Z
date_updated: 2023-08-02T14:09:02Z
day: '26'
ddc:
- '576'
department:
- _id: CaGu
- _id: GaTk
- _id: NiBa
doi: 10.7554/eLife.64543
ec_funded: 1
external_id:
isi:
- '000751104400001'
pmid:
- '35080492'
file:
- access_level: open_access
checksum: decdcdf600ff51e9a9703b49ca114170
content_type: application/pdf
creator: cchlebak
date_created: 2022-02-07T07:14:09Z
date_updated: 2022-02-07T07:14:09Z
file_id: '10739'
file_name: 2022_ELife_Lagator.pdf
file_size: 5604343
relation: main_file
success: 1
file_date_updated: 2022-02-07T07:14:09Z
has_accepted_license: '1'
intvolume: ' 11'
isi: 1
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
publication: eLife
publication_identifier:
eissn:
- 2050-084X
publication_status: published
publisher: eLife Sciences Publications
quality_controlled: '1'
scopus_import: '1'
status: public
title: Predicting bacterial promoter function and evolution from random sequences
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: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 11
year: '2022'
...
---
_id: '9410'
abstract:
- lang: eng
text: Antibiotic concentrations vary dramatically in the body and the environment.
Hence, understanding the dynamics of resistance evolution along antibiotic concentration
gradients is critical for predicting and slowing the emergence and spread of resistance.
While it has been shown that increasing the concentration of an antibiotic slows
resistance evolution, how adaptation to one antibiotic concentration correlates
with fitness at other points along the gradient has not received much attention.
Here, we selected populations of Escherichia coli at several points along a concentration
gradient for three different antibiotics, asking how rapidly resistance evolved
and whether populations became specialized to the antibiotic concentration they
were selected on. Populations selected at higher concentrations evolved resistance
more slowly but exhibited equal or higher fitness across the whole gradient. Populations
selected at lower concentrations evolved resistance rapidly, but overall fitness
in the presence of antibiotics was lower. However, these populations readily adapted
to higher concentrations upon subsequent selection. Our results indicate that
resistance management strategies must account not only for the rates of resistance
evolution but also for the fitness of evolved strains.
acknowledgement: We would like to thank Martin Ackermann, Camilo Barbosa, Nick Barton,
Jonathan Bollback, Sebastian Bonhoeffer, Nick Colegrave, Calin Guet, Alex Hall,
Sally Otto, Tiago Paixao, Srdjan Sarikas, Hinrich Schulenburg, Marjon de Vos and
Michael Whitlock for insightful support.
article_number: '20200913'
article_processing_charge: No
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Hildegard
full_name: Uecker, Hildegard
id: 2DB8F68A-F248-11E8-B48F-1D18A9856A87
last_name: Uecker
orcid: 0000-0001-9435-2813
- first_name: Paul
full_name: Neve, Paul
last_name: Neve
citation:
ama: Lagator M, Uecker H, Neve P. Adaptation at different points along antibiotic
concentration gradients. Biology letters. 2021;17(5). doi:10.1098/rsbl.2020.0913
apa: Lagator, M., Uecker, H., & Neve, P. (2021). Adaptation at different points
along antibiotic concentration gradients. Biology Letters. Royal Society
of London. https://doi.org/10.1098/rsbl.2020.0913
chicago: Lagator, Mato, Hildegard Uecker, and Paul Neve. “Adaptation at Different
Points along Antibiotic Concentration Gradients.” Biology Letters. Royal
Society of London, 2021. https://doi.org/10.1098/rsbl.2020.0913.
ieee: M. Lagator, H. Uecker, and P. Neve, “Adaptation at different points along
antibiotic concentration gradients,” Biology letters, vol. 17, no. 5. Royal
Society of London, 2021.
ista: Lagator M, Uecker H, Neve P. 2021. Adaptation at different points along antibiotic
concentration gradients. Biology letters. 17(5), 20200913.
mla: Lagator, Mato, et al. “Adaptation at Different Points along Antibiotic Concentration
Gradients.” Biology Letters, vol. 17, no. 5, 20200913, Royal Society of
London, 2021, doi:10.1098/rsbl.2020.0913.
short: M. Lagator, H. Uecker, P. Neve, Biology Letters 17 (2021).
date_created: 2021-05-23T22:01:43Z
date_published: 2021-05-12T00:00:00Z
date_updated: 2025-05-28T11:42:50Z
day: '12'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1098/rsbl.2020.0913
ec_funded: 1
external_id:
isi:
- '000651501400001'
pmid:
- ' 33975485'
file:
- access_level: open_access
checksum: 9c13c1f5af7609c97c741f11d293188a
content_type: application/pdf
creator: kschuh
date_created: 2021-05-25T14:09:03Z
date_updated: 2021-05-25T14:09:03Z
file_id: '9425'
file_name: 2021_BiologyLetters_Lagator.pdf
file_size: 726759
relation: main_file
success: 1
file_date_updated: 2021-05-25T14:09:03Z
has_accepted_license: '1'
intvolume: ' 17'
isi: 1
issue: '5'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Biology letters
publication_identifier:
eissn:
- 1744957X
publication_status: published
publisher: Royal Society of London
quality_controlled: '1'
scopus_import: '1'
status: public
title: Adaptation at different points along antibiotic concentration gradients
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: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 17
year: '2021'
...
---
_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: 2024-03-25T23:30:27Z
day: '10'
ddc:
- '570'
department:
- _id: CaGu
- _id: GaTk
- _id: JoBo
doi: 10.1038/s41559-018-0651-y
ec_funded: 1
external_id:
isi:
- '000447947600021'
file:
- access_level: open_access
checksum: 383a2e2c944a856e2e821ec8e7bf71b6
content_type: application/pdf
creator: dernst
date_created: 2020-05-14T11:28:52Z
date_updated: 2020-07-14T12:47:37Z
file_id: '7830'
file_name: 2018_NatureEcology_Igler.pdf
file_size: 1135973
relation: main_file
file_date_updated: 2020-07-14T12:47:37Z
has_accepted_license: '1'
intvolume: ' 2'
isi: 1
issue: '10'
language:
- iso: eng
month: '09'
oa: 1
oa_version: Submitted Version
page: 1633 - 1643
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
- _id: 251EE76E-B435-11E9-9278-68D0E5697425
grant_number: '24573'
name: Design principles underlying genetic switch architecture (DOC Fellowship)
publication: Nature Ecology and Evolution
publication_status: published
publisher: Nature Publishing Group
publist_id: '7987'
quality_controlled: '1'
related_material:
record:
- id: '5585'
relation: popular_science
status: public
- id: '6371'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Evolutionary potential of transcription factors for gene regulatory rewiring
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 2
year: '2018'
...
---
_id: '5585'
abstract:
- lang: eng
text: Mean repression values and standard error of the mean are given for all operator
mutant libraries.
article_processing_charge: No
author:
- first_name: Claudia
full_name: Igler, Claudia
id: 46613666-F248-11E8-B48F-1D18A9856A87
last_name: Igler
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- first_name: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. Data for the paper Evolutionary
potential of transcription factors for gene regulatory rewiring. 2018. doi:10.15479/AT:ISTA:108
apa: Igler, C., Lagator, M., Tkačik, G., Bollback, J. P., & Guet, C. C. (2018).
Data for the paper Evolutionary potential of transcription factors for gene regulatory
rewiring. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:108
chicago: Igler, Claudia, Mato Lagator, Gašper Tkačik, Jonathan P Bollback, and Calin
C Guet. “Data for the Paper Evolutionary Potential of Transcription Factors for
Gene Regulatory Rewiring.” Institute of Science and Technology Austria, 2018.
https://doi.org/10.15479/AT:ISTA:108.
ieee: C. Igler, M. Lagator, G. Tkačik, J. P. Bollback, and C. C. Guet, “Data for
the paper Evolutionary potential of transcription factors for gene regulatory
rewiring.” Institute of Science and Technology Austria, 2018.
ista: Igler C, Lagator M, Tkačik G, Bollback JP, Guet CC. 2018. Data for the paper
Evolutionary potential of transcription factors for gene regulatory rewiring,
Institute of Science and Technology Austria, 10.15479/AT:ISTA:108.
mla: Igler, Claudia, et al. Data for the Paper Evolutionary Potential of Transcription
Factors for Gene Regulatory Rewiring. Institute of Science and Technology
Austria, 2018, doi:10.15479/AT:ISTA:108.
short: C. Igler, M. Lagator, G. Tkačik, J.P. Bollback, C.C. Guet, (2018).
datarep_id: '108'
date_created: 2018-12-12T12:31:40Z
date_published: 2018-07-20T00:00:00Z
date_updated: 2024-03-25T23:30:27Z
day: '20'
ddc:
- '576'
department:
- _id: CaGu
- _id: GaTk
doi: 10.15479/AT:ISTA:108
ec_funded: 1
file:
- access_level: open_access
checksum: 1435781526c77413802adee0d4583cce
content_type: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet
creator: system
date_created: 2018-12-12T13:02:45Z
date_updated: 2020-07-14T12:47:07Z
file_id: '5611'
file_name: IST-2018-108-v1+1_data_figures.xlsx
file_size: 16507
relation: main_file
file_date_updated: 2020-07-14T12:47:07Z
has_accepted_license: '1'
license: https://creativecommons.org/publicdomain/zero/1.0/
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: '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
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date_updated: 2020-07-14T12:47:10Z
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file_name: IST-2017-918-v1+2_elife-28921-v3.pdf
file_size: 1953221
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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: '954'
abstract:
- lang: eng
text: Understanding the relation between genotype and phenotype remains a major
challenge. The difficulty of predicting individual mutation effects, and particularly
the interactions between them, has prevented the development of a comprehensive
theory that links genotypic changes to their phenotypic effects. We show that
a general thermodynamic framework for gene regulation, based on a biophysical
understanding of protein-DNA binding, accurately predicts the sign of epistasis
in a canonical cis-regulatory element consisting of overlapping RNA polymerase
and repressor binding sites. Sign and magnitude of individual mutation effects
are sufficient to predict the sign of epistasis and its environmental dependence.
Thus, the thermodynamic model offers the correct null prediction for epistasis
between mutations across DNA-binding sites. Our results indicate that a predictive
theory for the effects of cis-regulatory mutations is possible from first principles,
as long as the essential molecular mechanisms and the constraints these impose
on a biological system are accounted for.
article_number: e25192
article_processing_charge: Yes
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
citation:
ama: Lagator M, Paixao T, Barton NH, Bollback JP, Guet CC. On the mechanistic nature
of epistasis in a canonical cis-regulatory element. eLife. 2017;6. doi:10.7554/eLife.25192
apa: Lagator, M., Paixao, T., Barton, N. H., Bollback, J. P., & Guet, C. C.
(2017). On the mechanistic nature of epistasis in a canonical cis-regulatory element.
ELife. eLife Sciences Publications. https://doi.org/10.7554/eLife.25192
chicago: Lagator, Mato, Tiago Paixao, Nicholas H Barton, Jonathan P Bollback, and
Calin C Guet. “On the Mechanistic Nature of Epistasis in a Canonical Cis-Regulatory
Element.” ELife. eLife Sciences Publications, 2017. https://doi.org/10.7554/eLife.25192.
ieee: M. Lagator, T. Paixao, N. H. Barton, J. P. Bollback, and C. C. Guet, “On the
mechanistic nature of epistasis in a canonical cis-regulatory element,” eLife,
vol. 6. eLife Sciences Publications, 2017.
ista: Lagator M, Paixao T, Barton NH, Bollback JP, Guet CC. 2017. On the mechanistic
nature of epistasis in a canonical cis-regulatory element. eLife. 6, e25192.
mla: Lagator, Mato, et al. “On the Mechanistic Nature of Epistasis in a Canonical
Cis-Regulatory Element.” ELife, vol. 6, e25192, eLife Sciences Publications,
2017, doi:10.7554/eLife.25192.
short: M. Lagator, T. Paixao, N.H. Barton, J.P. Bollback, C.C. Guet, ELife 6 (2017).
date_created: 2018-12-11T11:49:23Z
date_published: 2017-05-18T00:00:00Z
date_updated: 2023-09-22T10:01:17Z
day: '18'
ddc:
- '576'
department:
- _id: CaGu
- _id: NiBa
- _id: JoBo
doi: 10.7554/eLife.25192
ec_funded: 1
external_id:
isi:
- '000404024800001'
file:
- access_level: open_access
checksum: 59cdd4400fb41280122d414fea971546
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:17:49Z
date_updated: 2020-07-14T12:48:16Z
file_id: '5306'
file_name: IST-2017-841-v1+1_elife-25192-v2.pdf
file_size: 2441529
relation: main_file
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checksum: b69024880558b858eb8c5d47a92b6377
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:17:50Z
date_updated: 2020-07-14T12:48:16Z
file_id: '5307'
file_name: IST-2017-841-v1+2_elife-25192-figures-v2.pdf
file_size: 3752660
relation: main_file
file_date_updated: 2020-07-14T12:48:16Z
has_accepted_license: '1'
intvolume: ' 6'
isi: 1
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
publication: eLife
publication_identifier:
issn:
- 2050084X
publication_status: published
publisher: eLife Sciences Publications
publist_id: '6460'
pubrep_id: '841'
quality_controlled: '1'
scopus_import: '1'
status: public
title: On the mechanistic nature of epistasis in a canonical cis-regulatory element
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 6
year: '2017'
...
---
_id: '1427'
abstract:
- lang: eng
text: Changes in gene expression are an important mode of evolution; however, the
proximate mechanism of these changes is poorly understood. In particular, little
is known about the effects of mutations within cis binding sites for transcription
factors, or the nature of epistatic interactions between these mutations. Here,
we tested the effects of single and double mutants in two cis binding sites involved
in the transcriptional regulation of the Escherichia coli araBAD operon, a component
of arabinose metabolism, using a synthetic system. This system decouples transcriptional
control from any posttranslational effects on fitness, allowing a precise estimate
of the effect of single and double mutations, and hence epistasis, on gene expression.
We found that epistatic interactions between mutations in the araBAD cis-regulatory
element are common, and that the predominant form of epistasis is negative. The
magnitude of the interactions depended on whether the mutations are located in
the same or in different operator sites. Importantly, these epistatic interactions
were dependent on the presence of arabinose, a native inducer of the araBAD operon
in vivo, with some interactions changing in sign (e.g., from negative to positive)
in its presence. This study thus reveals that mutations in even relatively simple
cis-regulatory elements interact in complex ways such that selection on the level
of gene expression in one environment might perturb regulation in the other environment
in an unpredictable and uncorrelated manner.
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Claudia
full_name: Igler, Claudia
id: 46613666-F248-11E8-B48F-1D18A9856A87
last_name: Igler
- first_name: Anaisa
full_name: Moreno, Anaisa
last_name: Moreno
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Jonathan P
full_name: Bollback, Jonathan P
id: 2C6FA9CC-F248-11E8-B48F-1D18A9856A87
last_name: Bollback
orcid: 0000-0002-4624-4612
citation:
ama: Lagator M, Igler C, Moreno A, Guet CC, Bollback JP. Epistatic interactions
in the arabinose cis-regulatory element. Molecular Biology and Evolution.
2016;33(3):761-769. doi:10.1093/molbev/msv269
apa: Lagator, M., Igler, C., Moreno, A., Guet, C. C., & Bollback, J. P. (2016).
Epistatic interactions in the arabinose cis-regulatory element. Molecular Biology
and Evolution. Oxford University Press. https://doi.org/10.1093/molbev/msv269
chicago: Lagator, Mato, Claudia Igler, Anaisa Moreno, Calin C Guet, and Jonathan
P Bollback. “Epistatic Interactions in the Arabinose Cis-Regulatory Element.”
Molecular Biology and Evolution. Oxford University Press, 2016. https://doi.org/10.1093/molbev/msv269.
ieee: M. Lagator, C. Igler, A. Moreno, C. C. Guet, and J. P. Bollback, “Epistatic
interactions in the arabinose cis-regulatory element,” Molecular Biology and
Evolution, vol. 33, no. 3. Oxford University Press, pp. 761–769, 2016.
ista: Lagator M, Igler C, Moreno A, Guet CC, Bollback JP. 2016. Epistatic interactions
in the arabinose cis-regulatory element. Molecular Biology and Evolution. 33(3),
761–769.
mla: Lagator, Mato, et al. “Epistatic Interactions in the Arabinose Cis-Regulatory
Element.” Molecular Biology and Evolution, vol. 33, no. 3, Oxford University
Press, 2016, pp. 761–69, doi:10.1093/molbev/msv269.
short: M. Lagator, C. Igler, A. Moreno, C.C. Guet, J.P. Bollback, Molecular Biology
and Evolution 33 (2016) 761–769.
date_created: 2018-12-11T11:51:57Z
date_published: 2016-03-01T00:00:00Z
date_updated: 2021-01-12T06:50:39Z
day: '01'
ddc:
- '570'
- '576'
department:
- _id: CaGu
- _id: JoBo
doi: 10.1093/molbev/msv269
ec_funded: 1
file:
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checksum: 1f456ce1d2aa2f67176a1709f9702ecf
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:09:27Z
date_updated: 2020-07-14T12:44:53Z
file_id: '4751'
file_name: IST-2016-588-v1+1_Mol_Biol_Evol-2016-Lagator-761-9.pdf
file_size: 648115
relation: main_file
file_date_updated: 2020-07-14T12:44:53Z
has_accepted_license: '1'
intvolume: ' 33'
issue: '3'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Published Version
page: 761 - 769
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Molecular Biology and Evolution
publication_status: published
publisher: Oxford University Press
publist_id: '5772'
pubrep_id: '588'
quality_controlled: '1'
scopus_import: 1
status: public
title: Epistatic interactions in the arabinose cis-regulatory element
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 33
year: '2016'
...
---
_id: '2036'
abstract:
- lang: eng
text: ' In rapidly changing environments, selection history may impact the dynamics
of adaptation. Mutations selected in one environment may result in pleiotropic
fitness trade-offs in subsequent novel environments, slowing the rates of adaptation.
Epistatic interactions between mutations selected in sequential stressful environments
may slow or accelerate subsequent rates of adaptation, depending on the nature
of that interaction. We explored the dynamics of adaptation during sequential
exposure to herbicides with different modes of action in Chlamydomonas reinhardtii.
Evolution of resistance to two of the herbicides was largely independent of selection
history. For carbetamide, previous adaptation to other herbicide modes of action
positively impacted the likelihood of adaptation to this herbicide. Furthermore,
while adaptation to all individual herbicides was associated with pleiotropic
fitness costs in stress-free environments, we observed that accumulation of resistance
mechanisms was accompanied by a reduction in overall fitness costs. We suggest
that antagonistic epistasis may be a driving mechanism that enables populations
to more readily adapt in novel environments. These findings highlight the potential
for sequences of xenobiotics to facilitate the rapid evolution of multiple-drug
and -pesticide resistance, as well as the potential for epistatic interactions
between adaptive mutations to facilitate evolutionary rescue in rapidly changing
environments. '
acknowledgement: The project was supported by Leverhulme Trust.
article_number: '20141679'
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Nick
full_name: Colegrave, Nick
last_name: Colegrave
- first_name: Paul
full_name: Neve, Paul
last_name: Neve
citation:
ama: Lagator M, Colegrave N, Neve P. Selection history and epistatic interactions
impact dynamics of adaptation to novel environmental stresses. Proceedings
of the Royal Society of London Series B Biological Sciences. 2014;281(1794).
doi:10.1098/rspb.2014.1679
apa: Lagator, M., Colegrave, N., & Neve, P. (2014). Selection history and epistatic
interactions impact dynamics of adaptation to novel environmental stresses. Proceedings
of the Royal Society of London Series B Biological Sciences. Royal Society,
The. https://doi.org/10.1098/rspb.2014.1679
chicago: Lagator, Mato, Nick Colegrave, and Paul Neve. “Selection History and Epistatic
Interactions Impact Dynamics of Adaptation to Novel Environmental Stresses.” Proceedings
of the Royal Society of London Series B Biological Sciences. Royal Society,
The, 2014. https://doi.org/10.1098/rspb.2014.1679.
ieee: M. Lagator, N. Colegrave, and P. Neve, “Selection history and epistatic interactions
impact dynamics of adaptation to novel environmental stresses,” Proceedings
of the Royal Society of London Series B Biological Sciences, vol. 281, no.
1794. Royal Society, The, 2014.
ista: Lagator M, Colegrave N, Neve P. 2014. Selection history and epistatic interactions
impact dynamics of adaptation to novel environmental stresses. Proceedings of
the Royal Society of London Series B Biological Sciences. 281(1794), 20141679.
mla: Lagator, Mato, et al. “Selection History and Epistatic Interactions Impact
Dynamics of Adaptation to Novel Environmental Stresses.” Proceedings of the
Royal Society of London Series B Biological Sciences, vol. 281, no. 1794,
20141679, Royal Society, The, 2014, doi:10.1098/rspb.2014.1679.
short: M. Lagator, N. Colegrave, P. Neve, Proceedings of the Royal Society of London
Series B Biological Sciences 281 (2014).
date_created: 2018-12-11T11:55:21Z
date_published: 2014-09-17T00:00:00Z
date_updated: 2023-02-23T14:06:44Z
day: '17'
department:
- _id: CaGu
doi: 10.1098/rspb.2014.1679
intvolume: ' 281'
issue: '1794'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4211454/
month: '09'
oa: 1
oa_version: Submitted Version
publication: Proceedings of the Royal Society of London Series B Biological Sciences
publication_status: published
publisher: Royal Society, The
publist_id: '5019'
quality_controlled: '1'
related_material:
record:
- id: '9741'
relation: research_data
status: public
scopus_import: 1
status: public
title: Selection history and epistatic interactions impact dynamics of adaptation
to novel environmental stresses
type: journal_article
user_id: 4435EBFC-F248-11E8-B48F-1D18A9856A87
volume: 281
year: '2014'
...
---
_id: '2083'
abstract:
- lang: eng
text: Understanding the effects of sex and migration on adaptation to novel environments
remains a key problem in evolutionary biology. Using a single-cell alga Chlamydomonas
reinhardtii, we investigated how sex and migration affected rates of evolutionary
rescue in a sink environment, and subsequent changes in fitness following evolutionary
rescue. We show that sex and migration affect both the rate of evolutionary rescue
and subsequent adaptation. However, their combined effects change as the populations
adapt to a sink habitat. Both sex and migration independently increased rates
of evolutionary rescue, but the effect of sex on subsequent fitness improvements,
following initial rescue, changed with migration, as sex was beneficial in the
absence of migration but constraining adaptation when combined with migration.
These results suggest that sex and migration are beneficial during the initial
stages of adaptation, but can become detrimental as the population adapts to its
environment.
acknowledgement: The authors are grateful to the Leverhulme Trust (F/00 215/AW) for
funding this work.
article_processing_charge: No
article_type: original
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Andrew
full_name: Morgan, Andrew
last_name: Morgan
- first_name: Paul
full_name: Neve, Paul
last_name: Neve
- first_name: Nick
full_name: Colegrave, Nick
last_name: Colegrave
citation:
ama: Lagator M, Morgan A, Neve P, Colegrave N. Role of sex and migration in adaptation
to sink environments. Evolution. 2014;68(8):2296-2305. doi:10.1111/evo.12440
apa: Lagator, M., Morgan, A., Neve, P., & Colegrave, N. (2014). Role of sex
and migration in adaptation to sink environments. Evolution. Wiley. https://doi.org/10.1111/evo.12440
chicago: Lagator, Mato, Andrew Morgan, Paul Neve, and Nick Colegrave. “Role of Sex
and Migration in Adaptation to Sink Environments.” Evolution. Wiley, 2014.
https://doi.org/10.1111/evo.12440.
ieee: M. Lagator, A. Morgan, P. Neve, and N. Colegrave, “Role of sex and migration
in adaptation to sink environments,” Evolution, vol. 68, no. 8. Wiley,
pp. 2296–2305, 2014.
ista: Lagator M, Morgan A, Neve P, Colegrave N. 2014. Role of sex and migration
in adaptation to sink environments. Evolution. 68(8), 2296–2305.
mla: Lagator, Mato, et al. “Role of Sex and Migration in Adaptation to Sink Environments.”
Evolution, vol. 68, no. 8, Wiley, 2014, pp. 2296–305, doi:10.1111/evo.12440.
short: M. Lagator, A. Morgan, P. Neve, N. Colegrave, Evolution 68 (2014) 2296–2305.
date_created: 2018-12-11T11:55:36Z
date_published: 2014-04-25T00:00:00Z
date_updated: 2023-02-23T14:06:51Z
day: '25'
ddc:
- '570'
department:
- _id: CaGu
doi: 10.1111/evo.12440
file:
- access_level: open_access
checksum: 8d459b07e4a11bb5fde92d969184fe48
content_type: application/pdf
creator: dernst
date_created: 2020-05-14T16:40:31Z
date_updated: 2020-07-14T12:45:28Z
file_id: '7845'
file_name: 2014_Evolution_Lagator.pdf
file_size: 467254
relation: main_file
file_date_updated: 2020-07-14T12:45:28Z
has_accepted_license: '1'
intvolume: ' 68'
issue: '8'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 2296 - 2305
publication: Evolution
publication_status: published
publisher: Wiley
publist_id: '4954'
quality_controlled: '1'
related_material:
record:
- id: '9747'
relation: research_data
status: public
scopus_import: 1
status: public
title: Role of sex and migration in adaptation to sink environments
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 68
year: '2014'
...
---
_id: '9741'
abstract:
- lang: eng
text: In rapidly changing environments, selection history may impact the dynamics
of adaptation. Mutations selected in one environment may result in pleiotropic
fitness trade-offs in subsequent novel environments, slowing the rates of adaptation.
Epistatic interactions between mutations selected in sequential stressful environments
may slow or accelerate subsequent rates of adaptation, depending on the nature
of that interaction. We explored the dynamics of adaptation during sequential
exposure to herbicides with different modes of action in Chlamydomonas reinhardtii.
Evolution of resistance to two of the herbicides was largely independent of selection
history. For carbetamide, previous adaptation to other herbicide modes of action
positively impacted the likelihood of adaptation to this herbicide. Furthermore,
while adaptation to all individual herbicides was associated with pleiotropic
fitness costs in stress-free environments, we observed that accumulation of resistance
mechanisms was accompanied by a reduction in overall fitness costs. We suggest
that antagonistic epistasis may be a driving mechanism that enables populations
to more readily adapt in novel environments. These findings highlight the potential
for sequences of xenobiotics to facilitate the rapid evolution of multiple-drug
and -pesticide resistance, as well as the potential for epistatic interactions
between adaptive mutations to facilitate evolutionary rescue in rapidly changing
environments.
article_processing_charge: No
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Nick
full_name: Colegrave, Nick
last_name: Colegrave
- first_name: Paul
full_name: Neve, Paul
last_name: Neve
citation:
ama: 'Lagator M, Colegrave N, Neve P. Data from: Selection history and epistatic
interactions impact dynamics of adaptation to novel environmental stresses. 2014.
doi:10.5061/dryad.85dn7'
apa: 'Lagator, M., Colegrave, N., & Neve, P. (2014). Data from: Selection history
and epistatic interactions impact dynamics of adaptation to novel environmental
stresses. Dryad. https://doi.org/10.5061/dryad.85dn7'
chicago: 'Lagator, Mato, Nick Colegrave, and Paul Neve. “Data from: Selection History
and Epistatic Interactions Impact Dynamics of Adaptation to Novel Environmental
Stresses.” Dryad, 2014. https://doi.org/10.5061/dryad.85dn7.'
ieee: 'M. Lagator, N. Colegrave, and P. Neve, “Data from: Selection history and
epistatic interactions impact dynamics of adaptation to novel environmental stresses.”
Dryad, 2014.'
ista: 'Lagator M, Colegrave N, Neve P. 2014. Data from: Selection history and epistatic
interactions impact dynamics of adaptation to novel environmental stresses, Dryad,
10.5061/dryad.85dn7.'
mla: 'Lagator, Mato, et al. Data from: Selection History and Epistatic Interactions
Impact Dynamics of Adaptation to Novel Environmental Stresses. Dryad, 2014,
doi:10.5061/dryad.85dn7.'
short: M. Lagator, N. Colegrave, P. Neve, (2014).
date_created: 2021-07-28T08:48:06Z
date_published: 2014-08-21T00:00:00Z
date_updated: 2023-02-23T10:25:31Z
day: '21'
department:
- _id: CaGu
doi: 10.5061/dryad.85dn7
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.85dn7
month: '08'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '2036'
relation: used_in_publication
status: public
status: public
title: 'Data from: Selection history and epistatic interactions impact dynamics of
adaptation to novel environmental stresses'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2014'
...
---
_id: '9747'
abstract:
- lang: eng
text: Understanding the effects of sex and migration on adaptation to novel environments
remains a key problem in evolutionary biology. Using a single-cell alga Chlamydomonas
reinhardtii, we investigated how sex and migration affected rates of evolutionary
rescue in a sink environment, and subsequent changes in fitness following evolutionary
rescue. We show that sex and migration affect both the rate of evolutionary rescue
and subsequent adaptation. However, their combined effects change as the populations
adapt to a sink habitat. Both sex and migration independently increased rates
of evolutionary rescue, but the effect of sex on subsequent fitness improvements,
following initial rescue, changed with migration, as sex was beneficial in the
absence of migration but constraining adaptation when combined with migration.
These results suggest that sex and migration are beneficial during the initial
stages of adaptation, but can become detrimental as the population adapts to its
environment.
article_processing_charge: No
author:
- first_name: Mato
full_name: Lagator, Mato
id: 345D25EC-F248-11E8-B48F-1D18A9856A87
last_name: Lagator
- first_name: Andrew
full_name: Morgan, Andrew
last_name: Morgan
- first_name: Paul
full_name: Neve, Paul
last_name: Neve
- first_name: Nick
full_name: Colegrave, Nick
last_name: Colegrave
citation:
ama: 'Lagator M, Morgan A, Neve P, Colegrave N. Data from: Role of sex and migration
in adaptation to sink environments. 2014. doi:10.5061/dryad.s42n1'
apa: 'Lagator, M., Morgan, A., Neve, P., & Colegrave, N. (2014). Data from:
Role of sex and migration in adaptation to sink environments. Dryad. https://doi.org/10.5061/dryad.s42n1'
chicago: 'Lagator, Mato, Andrew Morgan, Paul Neve, and Nick Colegrave. “Data from:
Role of Sex and Migration in Adaptation to Sink Environments.” Dryad, 2014. https://doi.org/10.5061/dryad.s42n1.'
ieee: 'M. Lagator, A. Morgan, P. Neve, and N. Colegrave, “Data from: Role of sex
and migration in adaptation to sink environments.” Dryad, 2014.'
ista: 'Lagator M, Morgan A, Neve P, Colegrave N. 2014. Data from: Role of sex and
migration in adaptation to sink environments, Dryad, 10.5061/dryad.s42n1.'
mla: 'Lagator, Mato, et al. Data from: Role of Sex and Migration in Adaptation
to Sink Environments. Dryad, 2014, doi:10.5061/dryad.s42n1.'
short: M. Lagator, A. Morgan, P. Neve, N. Colegrave, (2014).
date_created: 2021-07-28T15:32:55Z
date_published: 2014-04-17T00:00:00Z
date_updated: 2023-02-23T10:27:31Z
day: '17'
department:
- _id: CaGu
doi: 10.5061/dryad.s42n1
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.s42n1
month: '04'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '2083'
relation: used_in_publication
status: public
status: public
title: 'Data from: Role of sex and migration in adaptation to sink environments'
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2014'
...