---
_id: '14452'
abstract:
- lang: eng
text: The classical infinitesimal model is a simple and robust model for the inheritance
of quantitative traits. In this model, a quantitative trait is expressed as the
sum of a genetic and an environmental component, and the genetic component of
offspring traits within a family follows a normal distribution around the average
of the parents’ trait values, and has a variance that is independent of the parental
traits. In previous work, we showed that when trait values are determined by the
sum of a large number of additive Mendelian factors, each of small effect, one
can justify the infinitesimal model as a limit of Mendelian inheritance. In this
paper, we show that this result extends to include dominance. We define the model
in terms of classical quantities of quantitative genetics, before justifying it
as a limit of Mendelian inheritance as the number, M, of underlying loci tends
to infinity. As in the additive case, the multivariate normal distribution of
trait values across the pedigree can be expressed in terms of variance components
in an ancestral population and probabilities of identity by descent determined
by the pedigree. Now, with just first-order dominance effects, we require two-,
three-, and four-way identities. We also show that, even if we condition on parental
trait values, the “shared” and “residual” components of trait values within each
family will be asymptotically normally distributed as the number of loci tends
to infinity, with an error of order 1/M−−√. We illustrate our results with some
numerical examples.
acknowledgement: NHB was supported in part by ERC Grants 250152 and 101055327. AV
was partly supported by the chaire Modélisation Mathématique et Biodiversité of
Veolia Environment—Ecole Polytechnique—Museum National d’Histoire Naturelle—Fondation
X.
article_number: iyad133
article_processing_charge: Yes (in subscription journal)
article_type: original
arxiv: 1
author:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Alison M.
full_name: Etheridge, Alison M.
last_name: Etheridge
- first_name: Amandine
full_name: Véber, Amandine
last_name: Véber
citation:
ama: Barton NH, Etheridge AM, Véber A. The infinitesimal model with dominance. Genetics.
2023;225(2). doi:10.1093/genetics/iyad133
apa: Barton, N. H., Etheridge, A. M., & Véber, A. (2023). The infinitesimal
model with dominance. Genetics. Oxford Academic. https://doi.org/10.1093/genetics/iyad133
chicago: Barton, Nicholas H, Alison M. Etheridge, and Amandine Véber. “The Infinitesimal
Model with Dominance.” Genetics. Oxford Academic, 2023. https://doi.org/10.1093/genetics/iyad133.
ieee: N. H. Barton, A. M. Etheridge, and A. Véber, “The infinitesimal model with
dominance,” Genetics, vol. 225, no. 2. Oxford Academic, 2023.
ista: Barton NH, Etheridge AM, Véber A. 2023. The infinitesimal model with dominance.
Genetics. 225(2), iyad133.
mla: Barton, Nicholas H., et al. “The Infinitesimal Model with Dominance.” Genetics,
vol. 225, no. 2, iyad133, Oxford Academic, 2023, doi:10.1093/genetics/iyad133.
short: N.H. Barton, A.M. Etheridge, A. Véber, Genetics 225 (2023).
date_created: 2023-10-29T23:01:15Z
date_published: 2023-10-01T00:00:00Z
date_updated: 2025-05-28T11:42:48Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1093/genetics/iyad133
ec_funded: 1
external_id:
arxiv:
- '2211.03515'
file:
- access_level: open_access
checksum: 3f65b1fbe813e2f4dbb5d2b5e891844a
content_type: application/pdf
creator: dernst
date_created: 2023-10-30T12:57:53Z
date_updated: 2023-10-30T12:57:53Z
file_id: '14469'
file_name: 2023_Genetics_Barton.pdf
file_size: 1439032
relation: main_file
success: 1
file_date_updated: 2023-10-30T12:57:53Z
has_accepted_license: '1'
intvolume: ' 225'
issue: '2'
language:
- iso: eng
month: '10'
oa: 1
oa_version: Published Version
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: bd6958e0-d553-11ed-ba76-86eba6a76c00
grant_number: '101055327'
name: Understanding the evolution of continuous genomes
publication: Genetics
publication_identifier:
eissn:
- 1943-2631
issn:
- 0016-6731
publication_status: published
publisher: Oxford Academic
quality_controlled: '1'
related_material:
record:
- id: '12949'
relation: research_data
status: public
scopus_import: '1'
status: public
title: The infinitesimal model with dominance
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: 225
year: '2023'
...
---
_id: '12081'
abstract:
- lang: eng
text: 'Selection accumulates information in the genome—it guides stochastically
evolving populations toward states (genotype frequencies) that would be unlikely
under neutrality. This can be quantified as the Kullback–Leibler (KL) divergence
between the actual distribution of genotype frequencies and the corresponding
neutral distribution. First, we show that this population-level information sets
an upper bound on the information at the level of genotype and phenotype, limiting
how precisely they can be specified by selection. Next, we study how the accumulation
and maintenance of information is limited by the cost of selection, measured as
the genetic load or the relative fitness variance, both of which we connect to
the control-theoretic KL cost of control. The information accumulation rate is
upper bounded by the population size times the cost of selection. This bound is
very general, and applies across models (Wright–Fisher, Moran, diffusion) and
to arbitrary forms of selection, mutation, and recombination. Finally, the cost
of maintaining information depends on how it is encoded: Specifying a single allele
out of two is expensive, but one bit encoded among many weakly specified loci
(as in a polygenic trait) is cheap.'
acknowledgement: We thank Ksenia Khudiakova, Wiktor Młynarski, Sean Stankowski, and
two anonymous reviewers for discussions and comments on the manuscript. G.T. and
M.H. acknowledge funding from the Human Frontier Science Program Grant RGP0032/2018.
N.B. acknowledges funding from ERC Grant 250152 “Information and Evolution.”
article_number: e2123152119
article_processing_charge: No
article_type: original
author:
- first_name: Michal
full_name: Hledik, Michal
id: 4171253A-F248-11E8-B48F-1D18A9856A87
last_name: Hledik
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Gašper
full_name: Tkačik, Gašper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkačik
orcid: '1'
citation:
ama: Hledik M, Barton NH, Tkačik G. Accumulation and maintenance of information
in evolution. Proceedings of the National Academy of Sciences. 2022;119(36).
doi:10.1073/pnas.2123152119
apa: Hledik, M., Barton, N. H., & Tkačik, G. (2022). Accumulation and maintenance
of information in evolution. Proceedings of the National Academy of Sciences.
Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.2123152119
chicago: Hledik, Michal, Nicholas H Barton, and Gašper Tkačik. “Accumulation and
Maintenance of Information in Evolution.” Proceedings of the National Academy
of Sciences. Proceedings of the National Academy of Sciences, 2022. https://doi.org/10.1073/pnas.2123152119.
ieee: M. Hledik, N. H. Barton, and G. Tkačik, “Accumulation and maintenance of information
in evolution,” Proceedings of the National Academy of Sciences, vol. 119,
no. 36. Proceedings of the National Academy of Sciences, 2022.
ista: Hledik M, Barton NH, Tkačik G. 2022. Accumulation and maintenance of information
in evolution. Proceedings of the National Academy of Sciences. 119(36), e2123152119.
mla: Hledik, Michal, et al. “Accumulation and Maintenance of Information in Evolution.”
Proceedings of the National Academy of Sciences, vol. 119, no. 36, e2123152119,
Proceedings of the National Academy of Sciences, 2022, doi:10.1073/pnas.2123152119.
short: M. Hledik, N.H. Barton, G. Tkačik, Proceedings of the National Academy of
Sciences 119 (2022).
date_created: 2022-09-11T22:01:55Z
date_published: 2022-08-29T00:00:00Z
date_updated: 2025-06-30T13:21:05Z
day: '29'
ddc:
- '570'
department:
- _id: NiBa
- _id: GaTk
doi: 10.1073/pnas.2123152119
ec_funded: 1
external_id:
isi:
- '000889278400014'
pmid:
- '36037343'
file:
- access_level: open_access
checksum: 6dec51f6567da9039982a571508a8e4d
content_type: application/pdf
creator: dernst
date_created: 2022-09-12T08:08:12Z
date_updated: 2022-09-12T08:08:12Z
file_id: '12091'
file_name: 2022_PNAS_Hledik.pdf
file_size: 2165752
relation: main_file
success: 1
file_date_updated: 2022-09-12T08:08:12Z
has_accepted_license: '1'
intvolume: ' 119'
isi: 1
issue: '36'
language:
- iso: eng
month: '08'
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
- _id: 2665AAFE-B435-11E9-9278-68D0E5697425
grant_number: RGP0034/2018
name: Can evolution minimize spurious signaling crosstalk to reach optimal performance?
publication: Proceedings of the National Academy of Sciences
publication_identifier:
eissn:
- 1091-6490
issn:
- 0027-8424
publication_status: published
publisher: Proceedings of the National Academy of Sciences
quality_controlled: '1'
related_material:
record:
- id: '15020'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Accumulation and maintenance of information in evolution
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 119
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: '286'
abstract:
- lang: eng
text: 'Pedigree and sibship reconstruction are important methods in quantifying
relationships and fitness of individuals in natural populations. Current methods
employ a Markov chain-based algorithm to explore plausible possible pedigrees
iteratively. This provides accurate results, but is time-consuming. Here, we develop
a method to infer sibship and paternity relationships from half-sibling arrays
of known maternity using hierarchical clustering. Given 50 or more unlinked SNP
markers and empirically derived error rates, the method performs as well as the
widely used package Colony, but is faster by two orders of magnitude. Using simulations,
we show that the method performs well across contrasting mating scenarios, even
when samples are large. We then apply the method to open-pollinated arrays of
the snapdragon Antirrhinum majus and find evidence for a high degree of multiple
mating. Although we focus on diploid SNP data, the method does not depend on marker
type and as such has broad applications in nonmodel systems. '
acknowledgement: 'ERC, Grant/Award Number: 250152'
article_processing_charge: No
author:
- first_name: Thomas
full_name: Ellis, Thomas
id: 3153D6D4-F248-11E8-B48F-1D18A9856A87
last_name: Ellis
orcid: 0000-0002-8511-0254
- first_name: David
full_name: Field, David
id: 419049E2-F248-11E8-B48F-1D18A9856A87
last_name: Field
orcid: 0000-0002-4014-8478
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Ellis T, Field D, Barton NH. Efficient inference of paternity and sibship inference
given known maternity via hierarchical clustering. Molecular Ecology Resources.
2018;18(5):988-999. doi:10.1111/1755-0998.12782
apa: Ellis, T., Field, D., & Barton, N. H. (2018). Efficient inference of paternity
and sibship inference given known maternity via hierarchical clustering. Molecular
Ecology Resources. Wiley. https://doi.org/10.1111/1755-0998.12782
chicago: Ellis, Thomas, David Field, and Nicholas H Barton. “Efficient Inference
of Paternity and Sibship Inference given Known Maternity via Hierarchical Clustering.”
Molecular Ecology Resources. Wiley, 2018. https://doi.org/10.1111/1755-0998.12782.
ieee: T. Ellis, D. Field, and N. H. Barton, “Efficient inference of paternity and
sibship inference given known maternity via hierarchical clustering,” Molecular
Ecology Resources, vol. 18, no. 5. Wiley, pp. 988–999, 2018.
ista: Ellis T, Field D, Barton NH. 2018. Efficient inference of paternity and sibship
inference given known maternity via hierarchical clustering. Molecular Ecology
Resources. 18(5), 988–999.
mla: Ellis, Thomas, et al. “Efficient Inference of Paternity and Sibship Inference
given Known Maternity via Hierarchical Clustering.” Molecular Ecology Resources,
vol. 18, no. 5, Wiley, 2018, pp. 988–99, doi:10.1111/1755-0998.12782.
short: T. Ellis, D. Field, N.H. Barton, Molecular Ecology Resources 18 (2018) 988–999.
date_created: 2018-12-11T11:45:37Z
date_published: 2018-09-01T00:00:00Z
date_updated: 2025-05-28T11:42:43Z
day: '01'
department:
- _id: NiBa
doi: 10.1111/1755-0998.12782
ec_funded: 1
external_id:
isi:
- '000441753000007'
intvolume: ' 18'
isi: 1
issue: '5'
language:
- iso: eng
month: '09'
oa_version: None
page: 988 - 999
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Molecular Ecology Resources
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
record:
- id: '5583'
relation: popular_science
status: public
scopus_import: '1'
status: public
title: Efficient inference of paternity and sibship inference given known maternity
via hierarchical clustering
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 18
year: '2018'
...
---
_id: '316'
abstract:
- lang: eng
text: 'Self-incompatibility (SI) is a genetically based recognition system that
functions to prevent self-fertilization and mating among related plants. An enduring
puzzle in SI is how the high diversity observed in nature arises and is maintained.
Based on the underlying recognition mechanism, SI can be classified into two main
groups: self- and non-self recognition. Most work has focused on diversification
within self-recognition systems despite expected differences between the two groups
in the evolutionary pathways and outcomes of diversification. Here, we use a deterministic
population genetic model and stochastic simulations to investigate how novel S-haplotypes
evolve in a gametophytic non-self recognition (SRNase/S Locus F-box (SLF)) SI
system. For this model the pathways for diversification involve either the maintenance
or breakdown of SI and can vary in the order of mutations of the female (SRNase)
and male (SLF) components. We show analytically that diversification can occur
with high inbreeding depression and self-pollination, but this varies with evolutionary
pathway and level of completeness (which determines the number of potential mating
partners in the population), and in general is more likely for lower haplotype
number. The conditions for diversification are broader in stochastic simulations
of finite population size. However, the number of haplotypes observed under high
inbreeding and moderate to high self-pollination is less than that commonly observed
in nature. Diversification was observed through pathways that maintain SI as well
as through self-compatible intermediates. Yet the lifespan of diversified haplotypes
was sensitive to their level of completeness. By examining diversification in
a non-self recognition SI system, this model extends our understanding of the
evolution and maintenance of haplotype diversity observed in a self recognition
system common in flowering plants.'
article_processing_charge: No
article_type: original
author:
- first_name: Katarina
full_name: Bodova, Katarina
id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87
last_name: Bodova
orcid: 0000-0002-7214-0171
- first_name: Tadeas
full_name: Priklopil, Tadeas
id: 3C869AA0-F248-11E8-B48F-1D18A9856A87
last_name: Priklopil
- first_name: David
full_name: Field, David
id: 419049E2-F248-11E8-B48F-1D18A9856A87
last_name: Field
orcid: 0000-0002-4014-8478
- 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: Melinda
full_name: Pickup, Melinda
id: 2C78037E-F248-11E8-B48F-1D18A9856A87
last_name: Pickup
orcid: 0000-0001-6118-0541
citation:
ama: Bodova K, Priklopil T, Field D, Barton NH, Pickup M. Evolutionary pathways
for the generation of new self-incompatibility haplotypes in a non-self recognition
system. Genetics. 2018;209(3):861-883. doi:10.1534/genetics.118.300748
apa: Bodova, K., Priklopil, T., Field, D., Barton, N. H., & Pickup, M. (2018).
Evolutionary pathways for the generation of new self-incompatibility haplotypes
in a non-self recognition system. Genetics. Genetics Society of America.
https://doi.org/10.1534/genetics.118.300748
chicago: Bodova, Katarina, Tadeas Priklopil, David Field, Nicholas H Barton, and
Melinda Pickup. “Evolutionary Pathways for the Generation of New Self-Incompatibility
Haplotypes in a Non-Self Recognition System.” Genetics. Genetics Society
of America, 2018. https://doi.org/10.1534/genetics.118.300748.
ieee: K. Bodova, T. Priklopil, D. Field, N. H. Barton, and M. Pickup, “Evolutionary
pathways for the generation of new self-incompatibility haplotypes in a non-self
recognition system,” Genetics, vol. 209, no. 3. Genetics Society of America,
pp. 861–883, 2018.
ista: Bodova K, Priklopil T, Field D, Barton NH, Pickup M. 2018. Evolutionary pathways
for the generation of new self-incompatibility haplotypes in a non-self recognition
system. Genetics. 209(3), 861–883.
mla: Bodova, Katarina, et al. “Evolutionary Pathways for the Generation of New Self-Incompatibility
Haplotypes in a Non-Self Recognition System.” Genetics, vol. 209, no. 3,
Genetics Society of America, 2018, pp. 861–83, doi:10.1534/genetics.118.300748.
short: K. Bodova, T. Priklopil, D. Field, N.H. Barton, M. Pickup, Genetics 209 (2018)
861–883.
date_created: 2018-12-11T11:45:47Z
date_published: 2018-07-01T00:00:00Z
date_updated: 2025-05-28T11:42:44Z
day: '01'
department:
- _id: NiBa
- _id: GaTk
doi: 10.1534/genetics.118.300748
ec_funded: 1
external_id:
isi:
- '000437171700017'
intvolume: ' 209'
isi: 1
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.biorxiv.org/node/80098.abstract
month: '07'
oa: 1
oa_version: Preprint
page: 861-883
project:
- _id: 25B36484-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '329960'
name: Mating system and the evolutionary dynamics of hybrid zones
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
publication: Genetics
publication_status: published
publisher: Genetics Society of America
quality_controlled: '1'
related_material:
link:
- description: News on IST Homepage
relation: press_release
url: https://ist.ac.at/en/news/recognizing-others-but-not-yourself-new-insights-into-the-evolution-of-plant-mating/
record:
- id: '9813'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Evolutionary pathways for the generation of new self-incompatibility haplotypes
in a non-self recognition system
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 209
year: '2018'
...
---
_id: '564'
abstract:
- lang: eng
text: "Maladapted individuals can only colonise a new habitat if they can evolve
a\r\npositive growth rate fast enough to avoid extinction, a process known as
evolutionary\r\nrescue. We treat log fitness at low density in the new habitat
as a\r\nsingle polygenic trait and thus use the infinitesimal model to follow
the evolution\r\nof the growth rate; this assumes that the trait values of offspring
of a\r\nsexual union are normally distributed around the mean of the parents’
trait\r\nvalues, with variance that depends only on the parents’ relatedness.
The\r\nprobability that a single migrant can establish depends on just two parameters:\r\nthe
mean and genetic variance of the trait in the source population.\r\nThe chance
of success becomes small if migrants come from a population\r\nwith mean growth
rate in the new habitat more than a few standard deviations\r\nbelow zero; this
chance depends roughly equally on the probability\r\nthat the initial founder
is unusually fit, and on the subsequent increase in\r\ngrowth rate of its offspring
as a result of selection. The loss of genetic variation\r\nduring the founding
event is substantial, but highly variable. With\r\ncontinued migration at rate
M, establishment is inevitable; when migration\r\nis rare, the expected time to
establishment decreases inversely with M.\r\nHowever, above a threshold migration
rate, the population may be trapped\r\nin a ‘sink’ state, in which adaptation
is held back by gene flow; above this\r\nthreshold, the expected time to establishment
increases exponentially with M. This threshold behaviour is captured by a deterministic
approximation,\r\nwhich assumes a Gaussian distribution of the trait in the founder
population\r\nwith mean and variance evolving deterministically. By assuming a
constant\r\ngenetic variance, we also develop a diffusion approximation for the
joint distribution\r\nof population size and trait mean, which extends to include
stabilising\r\nselection and density regulation. Divergence of the population
from its\r\nancestors causes partial reproductive isolation, which we measure
through\r\nthe reproductive value of migrants into the newly established population."
article_processing_charge: No
article_type: original
author:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Alison
full_name: Etheridge, Alison
last_name: Etheridge
citation:
ama: Barton NH, Etheridge A. Establishment in a new habitat by polygenic adaptation.
Theoretical Population Biology. 2018;122(7):110-127. doi:10.1016/j.tpb.2017.11.007
apa: Barton, N. H., & Etheridge, A. (2018). Establishment in a new habitat by
polygenic adaptation. Theoretical Population Biology. Academic Press. https://doi.org/10.1016/j.tpb.2017.11.007
chicago: Barton, Nicholas H, and Alison Etheridge. “Establishment in a New Habitat
by Polygenic Adaptation.” Theoretical Population Biology. Academic Press,
2018. https://doi.org/10.1016/j.tpb.2017.11.007.
ieee: N. H. Barton and A. Etheridge, “Establishment in a new habitat by polygenic
adaptation,” Theoretical Population Biology, vol. 122, no. 7. Academic
Press, pp. 110–127, 2018.
ista: Barton NH, Etheridge A. 2018. Establishment in a new habitat by polygenic
adaptation. Theoretical Population Biology. 122(7), 110–127.
mla: Barton, Nicholas H., and Alison Etheridge. “Establishment in a New Habitat
by Polygenic Adaptation.” Theoretical Population Biology, vol. 122, no.
7, Academic Press, 2018, pp. 110–27, doi:10.1016/j.tpb.2017.11.007.
short: N.H. Barton, A. Etheridge, Theoretical Population Biology 122 (2018) 110–127.
date_created: 2018-12-11T11:47:12Z
date_published: 2018-07-01T00:00:00Z
date_updated: 2025-05-28T11:42:45Z
day: '01'
ddc:
- '519'
- '576'
department:
- _id: NiBa
doi: 10.1016/j.tpb.2017.11.007
ec_funded: 1
external_id:
isi:
- '000440392900014'
file:
- access_level: open_access
checksum: 0b96f6db47e3e91b5e7d103b847c239d
content_type: application/pdf
creator: nbarton
date_created: 2019-12-21T09:36:39Z
date_updated: 2020-07-14T12:47:09Z
file_id: '7199'
file_name: bartonetheridge.pdf
file_size: 2287682
relation: main_file
file_date_updated: 2020-07-14T12:47:09Z
has_accepted_license: '1'
intvolume: ' 122'
isi: 1
issue: '7'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Submitted Version
page: 110-127
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Theoretical Population Biology
publication_status: published
publisher: Academic Press
publist_id: '7250'
quality_controlled: '1'
related_material:
record:
- id: '9842'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Establishment in a new habitat by polygenic adaptation
tmp:
image: /images/cc_by_nc.png
legal_code_url: https://creativecommons.org/licenses/by-nc/4.0/legalcode
name: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
short: CC BY-NC (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 122
year: '2018'
...
---
_id: '1074'
abstract:
- lang: eng
text: Recently it has become feasible to detect long blocks of nearly identical
sequence shared between pairs of genomes. These IBD blocks are direct traces of
recent coalescence events and, as such, contain ample signal to infer recent demography.
Here, we examine sharing of such blocks in two-dimensional populations with local
migration. Using a diffusion approximation to trace genetic ancestry, we derive
analytical formulae for patterns of isolation by distance of IBD blocks, which
can also incorporate recent population density changes. We introduce an inference
scheme that uses a composite likelihood approach to fit these formulae. We then
extensively evaluate our theory and inference method on a range of scenarios using
simulated data. We first validate the diffusion approximation by showing that
the theoretical results closely match the simulated block sharing patterns. We
then demonstrate that our inference scheme can accurately and robustly infer dispersal
rate and effective density, as well as bounds on recent dynamics of population
density. To demonstrate an application, we use our estimation scheme to explore
the fit of a diffusion model to Eastern European samples in the POPRES data set.
We show that ancestry diffusing with a rate of σ ≈ 50–100 km/√gen during the last
centuries, combined with accelerating population growth, can explain the observed
exponential decay of block sharing with increasing pairwise sample distance.
article_processing_charge: No
author:
- first_name: Harald
full_name: Ringbauer, Harald
id: 417FCFF4-F248-11E8-B48F-1D18A9856A87
last_name: Ringbauer
orcid: 0000-0002-4884-9682
- first_name: Graham
full_name: Coop, Graham
last_name: Coop
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Ringbauer H, Coop G, Barton NH. Inferring recent demography from isolation
by distance of long shared sequence blocks. Genetics. 2017;205(3):1335-1351.
doi:10.1534/genetics.116.196220
apa: Ringbauer, H., Coop, G., & Barton, N. H. (2017). Inferring recent demography
from isolation by distance of long shared sequence blocks. Genetics. Genetics
Society of America. https://doi.org/10.1534/genetics.116.196220
chicago: Ringbauer, Harald, Graham Coop, and Nicholas H Barton. “Inferring Recent
Demography from Isolation by Distance of Long Shared Sequence Blocks.” Genetics.
Genetics Society of America, 2017. https://doi.org/10.1534/genetics.116.196220.
ieee: H. Ringbauer, G. Coop, and N. H. Barton, “Inferring recent demography from
isolation by distance of long shared sequence blocks,” Genetics, vol. 205,
no. 3. Genetics Society of America, pp. 1335–1351, 2017.
ista: Ringbauer H, Coop G, Barton NH. 2017. Inferring recent demography from isolation
by distance of long shared sequence blocks. Genetics. 205(3), 1335–1351.
mla: Ringbauer, Harald, et al. “Inferring Recent Demography from Isolation by Distance
of Long Shared Sequence Blocks.” Genetics, vol. 205, no. 3, Genetics Society
of America, 2017, pp. 1335–51, doi:10.1534/genetics.116.196220.
short: H. Ringbauer, G. Coop, N.H. Barton, Genetics 205 (2017) 1335–1351.
date_created: 2018-12-11T11:50:00Z
date_published: 2017-03-01T00:00:00Z
date_updated: 2025-05-28T11:42:51Z
day: '01'
department:
- _id: NiBa
doi: 10.1534/genetics.116.196220
ec_funded: 1
external_id:
isi:
- '000395807200023'
intvolume: ' 205'
isi: 1
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://www.biorxiv.org/content/early/2016/09/23/076810
month: '03'
oa: 1
oa_version: Preprint
page: 1335 - 1351
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Genetics
publication_identifier:
issn:
- '00166731'
publication_status: published
publisher: Genetics Society of America
publist_id: '6307'
quality_controlled: '1'
related_material:
record:
- id: '200'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Inferring recent demography from isolation by distance of long shared sequence
blocks
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 205
year: '2017'
...
---
_id: '1077'
abstract:
- lang: eng
text: Viral capsids are structurally constrained by interactions among the amino
acids (AAs) of their constituent proteins. Therefore, epistasis is expected to
evolve among physically interacting sites and to influence the rates of substitution.
To study the evolution of epistasis, we focused on the major structural protein
of the fX174 phage family by first reconstructing the ancestral protein sequences
of 18 species using a Bayesian statistical framework. The inferred ancestral reconstruction
differed at eight AAs, for a total of 256 possible ancestral haplotypes. For each
ancestral haplotype and the extant species, we estimated, in silico, the distribution
of free energies and epistasis of the capsid structure. We found that free energy
has not significantly increased but epistasis has. We decomposed epistasis up
to fifth order and found that higher-order epistasis sometimes compensates pairwise
interactions making the free energy seem additive. The dN/dS ratio is low, suggesting
strong purifying selection, and that structure is under stabilizing selection.
We synthesized phages carrying ancestral haplotypes of the coat protein gene and
measured their fitness experimentally. Our findings indicate that stabilizing
mutations can have higher fitness, and that fitness optima do not necessarily
coincide with energy minima.
article_number: '20160139'
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Rodrigo A
full_name: Fernandes Redondo, Rodrigo A
id: 409D5C96-F248-11E8-B48F-1D18A9856A87
last_name: Fernandes Redondo
orcid: 0000-0002-5837-2793
- first_name: Harold
full_name: Vladar, Harold
id: 2A181218-F248-11E8-B48F-1D18A9856A87
last_name: Vladar
orcid: 0000-0002-5985-7653
- first_name: Tomasz
full_name: Włodarski, Tomasz
last_name: Włodarski
- 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: Fernandes Redondo RA, de Vladar H, Włodarski T, Bollback JP. Evolutionary interplay
between structure, energy and epistasis in the coat protein of the ϕX174 phage
family. Journal of the Royal Society Interface. 2017;14(126). doi:10.1098/rsif.2016.0139
apa: Fernandes Redondo, R. A., de Vladar, H., Włodarski, T., & Bollback, J.
P. (2017). Evolutionary interplay between structure, energy and epistasis in the
coat protein of the ϕX174 phage family. Journal of the Royal Society Interface.
Royal Society of London. https://doi.org/10.1098/rsif.2016.0139
chicago: Fernandes Redondo, Rodrigo A, Harold de Vladar, Tomasz Włodarski, and Jonathan
P Bollback. “Evolutionary Interplay between Structure, Energy and Epistasis in
the Coat Protein of the ΦX174 Phage Family.” Journal of the Royal Society Interface.
Royal Society of London, 2017. https://doi.org/10.1098/rsif.2016.0139.
ieee: R. A. Fernandes Redondo, H. de Vladar, T. Włodarski, and J. P. Bollback, “Evolutionary
interplay between structure, energy and epistasis in the coat protein of the ϕX174
phage family,” Journal of the Royal Society Interface, vol. 14, no. 126.
Royal Society of London, 2017.
ista: Fernandes Redondo RA, de Vladar H, Włodarski T, Bollback JP. 2017. Evolutionary
interplay between structure, energy and epistasis in the coat protein of the ϕX174
phage family. Journal of the Royal Society Interface. 14(126), 20160139.
mla: Fernandes Redondo, Rodrigo A., et al. “Evolutionary Interplay between Structure,
Energy and Epistasis in the Coat Protein of the ΦX174 Phage Family.” Journal
of the Royal Society Interface, vol. 14, no. 126, 20160139, Royal Society
of London, 2017, doi:10.1098/rsif.2016.0139.
short: R.A. Fernandes Redondo, H. de Vladar, T. Włodarski, J.P. Bollback, Journal
of the Royal Society Interface 14 (2017).
date_created: 2018-12-11T11:50:01Z
date_published: 2017-01-04T00:00:00Z
date_updated: 2025-05-28T11:42:51Z
day: '04'
ddc:
- '570'
department:
- _id: NiBa
- _id: JoBo
doi: 10.1098/rsif.2016.0139
ec_funded: 1
external_id:
isi:
- '000393380400001'
file:
- access_level: open_access
content_type: application/pdf
creator: dernst
date_created: 2019-01-18T09:14:02Z
date_updated: 2019-01-18T09:14:02Z
file_id: '5843'
file_name: 2017_JRSI_Redondo.pdf
file_size: 1092015
relation: main_file
success: 1
file_date_updated: 2019-01-18T09:14:02Z
has_accepted_license: '1'
intvolume: ' 14'
isi: 1
issue: '126'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 2578D616-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '648440'
name: Selective Barriers to Horizontal Gene Transfer
publication: Journal of the Royal Society Interface
publication_identifier:
issn:
- '17425689'
publication_status: published
publisher: Royal Society of London
publist_id: '6303'
quality_controlled: '1'
related_material:
record:
- id: '9864'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Evolutionary interplay between structure, energy and epistasis in the coat
protein of the ϕX174 phage family
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: 14
year: '2017'
...
---
_id: '1169'
abstract:
- lang: eng
text: Dispersal is a crucial factor in natural evolution, since it determines the
habitat experienced by any population and defines the spatial scale of interactions
between individuals. There is compelling evidence for systematic differences in
dispersal characteristics within the same population, i.e., genotype-dependent
dispersal. The consequences of genotype-dependent dispersal on other evolutionary
phenomena, however, are poorly understood. In this article we investigate the
effect of genotype-dependent dispersal on spatial gene frequency patterns, using
a generalization of the classical diffusion model of selection and dispersal.
Dispersal is characterized by the variance of dispersal (diffusion coefficient)
and the mean displacement (directional advection term). We demonstrate that genotype-dependent
dispersal may change the qualitative behavior of Fisher waves, which change from
being “pulled” to being “pushed” wave fronts as the discrepancy in dispersal between
genotypes increases. The speed of any wave is partitioned into components due
to selection, genotype-dependent variance of dispersal, and genotype-dependent
mean displacement. We apply our findings to wave fronts maintained by selection
against heterozygotes. Furthermore, we identify a benefit of increased variance
of dispersal, quantify its effect on the speed of the wave, and discuss the implications
for the evolution of dispersal strategies.
article_processing_charge: No
author:
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
orcid: 0000-0002-2519-824X
- first_name: Richard
full_name: Kollár, Richard
last_name: Kollár
citation:
ama: Novak S, Kollár R. Spatial gene frequency waves under genotype dependent dispersal.
Genetics. 2017;205(1):367-374. doi:10.1534/genetics.116.193946
apa: Novak, S., & Kollár, R. (2017). Spatial gene frequency waves under genotype
dependent dispersal. Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.116.193946
chicago: Novak, Sebastian, and Richard Kollár. “Spatial Gene Frequency Waves under
Genotype Dependent Dispersal.” Genetics. Genetics Society of America, 2017.
https://doi.org/10.1534/genetics.116.193946.
ieee: S. Novak and R. Kollár, “Spatial gene frequency waves under genotype dependent
dispersal,” Genetics, vol. 205, no. 1. Genetics Society of America, pp.
367–374, 2017.
ista: Novak S, Kollár R. 2017. Spatial gene frequency waves under genotype dependent
dispersal. Genetics. 205(1), 367–374.
mla: Novak, Sebastian, and Richard Kollár. “Spatial Gene Frequency Waves under Genotype
Dependent Dispersal.” Genetics, vol. 205, no. 1, Genetics Society of America,
2017, pp. 367–74, doi:10.1534/genetics.116.193946.
short: S. Novak, R. Kollár, Genetics 205 (2017) 367–374.
date_created: 2018-12-11T11:50:31Z
date_published: 2017-01-01T00:00:00Z
date_updated: 2025-05-28T11:42:46Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1534/genetics.116.193946
ec_funded: 1
external_id:
isi:
- '000393677300025'
file:
- access_level: open_access
checksum: 7c8ab79cda1f92760bbbbe0f53175bfc
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:10:43Z
date_updated: 2020-07-14T12:44:37Z
file_id: '4833'
file_name: IST-2016-727-v1+1_SFC_Genetics_final.pdf
file_size: 361500
relation: main_file
file_date_updated: 2020-07-14T12:44:37Z
has_accepted_license: '1'
intvolume: ' 205'
isi: 1
issue: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Submitted Version
page: 367 - 374
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Genetics
publication_identifier:
issn:
- '00166731'
publication_status: published
publisher: Genetics Society of America
publist_id: '6188'
pubrep_id: '727'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Spatial gene frequency waves under genotype dependent dispersal
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 205
year: '2017'
...
---
_id: '626'
abstract:
- lang: eng
text: 'Our focus here is on the infinitesimal model. In this model, one or several
quantitative traits are described as the sum of a genetic and a non-genetic component,
the first being distributed within families as a normal random variable centred
at the average of the parental genetic components, and with a variance independent
of the parental traits. Thus, the variance that segregates within families is
not perturbed by selection, and can be predicted from the variance components.
This does not necessarily imply that the trait distribution across the whole population
should be Gaussian, and indeed selection or population structure may have a substantial
effect on the overall trait distribution. One of our main aims is to identify
some general conditions on the allelic effects for the infinitesimal model to
be accurate. We first review the long history of the infinitesimal model in quantitative
genetics. Then we formulate the model at the phenotypic level in terms of individual
trait values and relationships between individuals, but including different evolutionary
processes: genetic drift, recombination, selection, mutation, population structure,
…. We give a range of examples of its application to evolutionary questions related
to stabilising selection, assortative mating, effective population size and response
to selection, habitat preference and speciation. We provide a mathematical justification
of the model as the limit as the number M of underlying loci tends to infinity
of a model with Mendelian inheritance, mutation and environmental noise, when
the genetic component of the trait is purely additive. We also show how the model
generalises to include epistatic effects. We prove in particular that, within
each family, the genetic components of the individual trait values in the current
generation are indeed normally distributed with a variance independent of ancestral
traits, up to an error of order 1∕M. Simulations suggest that in some cases the
convergence may be as fast as 1∕M.'
author:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Alison
full_name: Etheridge, Alison
last_name: Etheridge
- first_name: Amandine
full_name: Véber, Amandine
last_name: Véber
citation:
ama: 'Barton NH, Etheridge A, Véber A. The infinitesimal model: Definition derivation
and implications. Theoretical Population Biology. 2017;118:50-73. doi:10.1016/j.tpb.2017.06.001'
apa: 'Barton, N. H., Etheridge, A., & Véber, A. (2017). The infinitesimal model:
Definition derivation and implications. Theoretical Population Biology.
Academic Press. https://doi.org/10.1016/j.tpb.2017.06.001'
chicago: 'Barton, Nicholas H, Alison Etheridge, and Amandine Véber. “The Infinitesimal
Model: Definition Derivation and Implications.” Theoretical Population Biology.
Academic Press, 2017. https://doi.org/10.1016/j.tpb.2017.06.001.'
ieee: 'N. H. Barton, A. Etheridge, and A. Véber, “The infinitesimal model: Definition
derivation and implications,” Theoretical Population Biology, vol. 118.
Academic Press, pp. 50–73, 2017.'
ista: 'Barton NH, Etheridge A, Véber A. 2017. The infinitesimal model: Definition
derivation and implications. Theoretical Population Biology. 118, 50–73.'
mla: 'Barton, Nicholas H., et al. “The Infinitesimal Model: Definition Derivation
and Implications.” Theoretical Population Biology, vol. 118, Academic Press,
2017, pp. 50–73, doi:10.1016/j.tpb.2017.06.001.'
short: N.H. Barton, A. Etheridge, A. Véber, Theoretical Population Biology 118 (2017)
50–73.
date_created: 2018-12-11T11:47:34Z
date_published: 2017-12-01T00:00:00Z
date_updated: 2021-01-12T08:06:50Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1016/j.tpb.2017.06.001
ec_funded: 1
file:
- access_level: open_access
checksum: 7dd02bfcfe8f244f4a6c19091aedf2c8
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:45Z
date_updated: 2020-07-14T12:47:25Z
file_id: '4964'
file_name: IST-2017-908-v1+1_1-s2.0-S0040580917300886-main_1_.pdf
file_size: 1133924
relation: main_file
file_date_updated: 2020-07-14T12:47:25Z
has_accepted_license: '1'
intvolume: ' 118'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
page: 50 - 73
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Theoretical Population Biology
publication_identifier:
issn:
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publication_status: published
publisher: Academic Press
publist_id: '7169'
pubrep_id: '908'
quality_controlled: '1'
scopus_import: 1
status: public
title: 'The infinitesimal model: Definition derivation and implications'
tmp:
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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: 118
year: '2017'
...
---
_id: '1351'
abstract:
- lang: eng
text: The behaviour of gene regulatory networks (GRNs) is typically analysed using
simulation-based statistical testing-like methods. In this paper, we demonstrate
that we can replace this approach by a formal verification-like method that gives
higher assurance and scalability. We focus on Wagner’s weighted GRN model with
varying weights, which is used in evolutionary biology. In the model, weight parameters
represent the gene interaction strength that may change due to genetic mutations.
For a property of interest, we synthesise the constraints over the parameter space
that represent the set of GRNs satisfying the property. We experimentally show
that our parameter synthesis procedure computes the mutational robustness of GRNs—an
important problem of interest in evolutionary biology—more efficiently than the
classical simulation method. We specify the property in linear temporal logic.
We employ symbolic bounded model checking and SMT solving to compute the space
of GRNs that satisfy the property, which amounts to synthesizing a set of linear
constraints on the weights.
article_processing_charge: No
author:
- first_name: Mirco
full_name: Giacobbe, Mirco
id: 3444EA5E-F248-11E8-B48F-1D18A9856A87
last_name: Giacobbe
orcid: 0000-0001-8180-0904
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Ashutosh
full_name: Gupta, Ashutosh
id: 335E5684-F248-11E8-B48F-1D18A9856A87
last_name: Gupta
- first_name: Thomas A
full_name: Henzinger, Thomas A
id: 40876CD8-F248-11E8-B48F-1D18A9856A87
last_name: Henzinger
orcid: 0000−0002−2985−7724
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Tatjana
full_name: Petrov, Tatjana
id: 3D5811FC-F248-11E8-B48F-1D18A9856A87
last_name: Petrov
orcid: 0000-0002-9041-0905
citation:
ama: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. Model checking
the evolution of gene regulatory networks. Acta Informatica. 2017;54(8):765-787.
doi:10.1007/s00236-016-0278-x
apa: Giacobbe, M., Guet, C. C., Gupta, A., Henzinger, T. A., Paixao, T., & Petrov,
T. (2017). Model checking the evolution of gene regulatory networks. Acta Informatica.
Springer. https://doi.org/10.1007/s00236-016-0278-x
chicago: Giacobbe, Mirco, Calin C Guet, Ashutosh Gupta, Thomas A Henzinger, Tiago
Paixao, and Tatjana Petrov. “Model Checking the Evolution of Gene Regulatory Networks.”
Acta Informatica. Springer, 2017. https://doi.org/10.1007/s00236-016-0278-x.
ieee: M. Giacobbe, C. C. Guet, A. Gupta, T. A. Henzinger, T. Paixao, and T. Petrov,
“Model checking the evolution of gene regulatory networks,” Acta Informatica,
vol. 54, no. 8. Springer, pp. 765–787, 2017.
ista: Giacobbe M, Guet CC, Gupta A, Henzinger TA, Paixao T, Petrov T. 2017. Model
checking the evolution of gene regulatory networks. Acta Informatica. 54(8), 765–787.
mla: Giacobbe, Mirco, et al. “Model Checking the Evolution of Gene Regulatory Networks.”
Acta Informatica, vol. 54, no. 8, Springer, 2017, pp. 765–87, doi:10.1007/s00236-016-0278-x.
short: M. Giacobbe, C.C. Guet, A. Gupta, T.A. Henzinger, T. Paixao, T. Petrov, Acta
Informatica 54 (2017) 765–787.
date_created: 2018-12-11T11:51:32Z
date_published: 2017-12-01T00:00:00Z
date_updated: 2025-05-28T11:57:04Z
day: '01'
ddc:
- '006'
- '576'
department:
- _id: ToHe
- _id: CaGu
- _id: NiBa
doi: 10.1007/s00236-016-0278-x
ec_funded: 1
external_id:
isi:
- '000414343200003'
file:
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checksum: 4e661d9135d7f8c342e8e258dee76f3e
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oa: 1
oa_version: Published Version
page: 765 - 787
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call_identifier: FP7
grant_number: '267989'
name: Quantitative Reactive Modeling
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call_identifier: FWF
grant_number: S 11407_N23
name: Rigorous Systems Engineering
- _id: 25F42A32-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: Z211
name: The Wittgenstein Prize
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Acta Informatica
publication_identifier:
issn:
- '00015903'
publication_status: published
publisher: Springer
publist_id: '5898'
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quality_controlled: '1'
related_material:
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relation: earlier_version
status: public
scopus_import: '1'
status: public
title: Model checking the evolution of gene regulatory networks
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 54
year: '2017'
...
---
_id: '955'
abstract:
- lang: eng
text: 'Gene expression is controlled by networks of regulatory proteins that interact
specifically with external signals and DNA regulatory sequences. These interactions
force the network components to co-evolve so as to continually maintain function.
Yet, existing models of evolution mostly focus on isolated genetic elements. In
contrast, we study the essential process by which regulatory networks grow: the
duplication and subsequent specialization of network components. We synthesize
a biophysical model of molecular interactions with the evolutionary framework
to find the conditions and pathways by which new regulatory functions emerge.
We show that specialization of new network components is usually slow, but can
be drastically accelerated in the presence of regulatory crosstalk and mutations
that promote promiscuous interactions between network components.'
article_number: '216'
article_processing_charge: Yes (in subscription journal)
author:
- first_name: Tamar
full_name: Friedlander, Tamar
id: 36A5845C-F248-11E8-B48F-1D18A9856A87
last_name: Friedlander
- first_name: Roshan
full_name: Prizak, Roshan
id: 4456104E-F248-11E8-B48F-1D18A9856A87
last_name: Prizak
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: Friedlander T, Prizak R, Barton NH, Tkačik G. Evolution of new regulatory functions
on biophysically realistic fitness landscapes. Nature Communications. 2017;8(1).
doi:10.1038/s41467-017-00238-8
apa: Friedlander, T., Prizak, R., Barton, N. H., & Tkačik, G. (2017). Evolution
of new regulatory functions on biophysically realistic fitness landscapes. Nature
Communications. Nature Publishing Group. https://doi.org/10.1038/s41467-017-00238-8
chicago: Friedlander, Tamar, Roshan Prizak, Nicholas H Barton, and Gašper Tkačik.
“Evolution of New Regulatory Functions on Biophysically Realistic Fitness Landscapes.”
Nature Communications. Nature Publishing Group, 2017. https://doi.org/10.1038/s41467-017-00238-8.
ieee: T. Friedlander, R. Prizak, N. H. Barton, and G. Tkačik, “Evolution of new
regulatory functions on biophysically realistic fitness landscapes,” Nature
Communications, vol. 8, no. 1. Nature Publishing Group, 2017.
ista: Friedlander T, Prizak R, Barton NH, Tkačik G. 2017. Evolution of new regulatory
functions on biophysically realistic fitness landscapes. Nature Communications.
8(1), 216.
mla: Friedlander, Tamar, et al. “Evolution of New Regulatory Functions on Biophysically
Realistic Fitness Landscapes.” Nature Communications, vol. 8, no. 1, 216,
Nature Publishing Group, 2017, doi:10.1038/s41467-017-00238-8.
short: T. Friedlander, R. Prizak, N.H. Barton, G. Tkačik, Nature Communications
8 (2017).
date_created: 2018-12-11T11:49:23Z
date_published: 2017-08-09T00:00:00Z
date_updated: 2025-05-28T11:42:50Z
day: '09'
ddc:
- '539'
- '576'
department:
- _id: GaTk
- _id: NiBa
doi: 10.1038/s41467-017-00238-8
ec_funded: 1
external_id:
isi:
- '000407198800005'
file:
- access_level: open_access
checksum: 29a1b5db458048d3bd5c67e0e2a56818
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creator: system
date_created: 2018-12-12T10:14:14Z
date_updated: 2020-07-14T12:48:16Z
file_id: '5064'
file_name: IST-2017-864-v1+1_s41467-017-00238-8.pdf
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relation: main_file
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file_size: 9715993
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has_accepted_license: '1'
intvolume: ' 8'
isi: 1
issue: '1'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication: Nature Communications
publication_identifier:
issn:
- '20411723'
publication_status: published
publisher: Nature Publishing Group
publist_id: '6459'
pubrep_id: '864'
quality_controlled: '1'
related_material:
record:
- id: '6071'
relation: dissertation_contains
status: public
scopus_import: '1'
status: public
title: Evolution of new regulatory functions on biophysically realistic fitness landscapes
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: '2017'
...
---
_id: '1063'
abstract:
- lang: eng
text: Severe environmental change can drive a population extinct unless the population
adapts in time to the new conditions (“evolutionary rescue”). How does biparental
sexual reproduction influence the chances of population persistence compared to
clonal reproduction or selfing? In this article, we set up a one‐locus two‐allele
model for adaptation in diploid species, where rescue is contingent on the establishment
of the mutant homozygote. Reproduction can occur by random mating, selfing, or
clonally. Random mating generates and destroys the rescue mutant; selfing is efficient
at generating it but at the same time depletes the heterozygote, which can lead
to a low mutant frequency in the standing genetic variation. Due to these (and
other) antagonistic effects, we find a nontrivial dependence of population survival
on the rate of sex/selfing, which is strongly influenced by the dominance coefficient
of the mutation before and after the environmental change. Importantly, since
mating with the wild‐type breaks the mutant homozygote up, a slow decay of the
wild‐type population size can impede rescue in randomly mating populations.
article_processing_charge: No
author:
- first_name: Hildegard
full_name: Uecker, Hildegard
id: 2DB8F68A-F248-11E8-B48F-1D18A9856A87
last_name: Uecker
orcid: 0000-0001-9435-2813
citation:
ama: Uecker H. Evolutionary rescue in randomly mating, selfing, and clonal populations.
Evolution. 2017;71(4):845-858. doi:10.1111/evo.13191
apa: Uecker, H. (2017). Evolutionary rescue in randomly mating, selfing, and clonal
populations. Evolution. Wiley-Blackwell. https://doi.org/10.1111/evo.13191
chicago: Uecker, Hildegard. “Evolutionary Rescue in Randomly Mating, Selfing, and
Clonal Populations.” Evolution. Wiley-Blackwell, 2017. https://doi.org/10.1111/evo.13191.
ieee: H. Uecker, “Evolutionary rescue in randomly mating, selfing, and clonal populations,”
Evolution, vol. 71, no. 4. Wiley-Blackwell, pp. 845–858, 2017.
ista: Uecker H. 2017. Evolutionary rescue in randomly mating, selfing, and clonal
populations. Evolution. 71(4), 845–858.
mla: Uecker, Hildegard. “Evolutionary Rescue in Randomly Mating, Selfing, and Clonal
Populations.” Evolution, vol. 71, no. 4, Wiley-Blackwell, 2017, pp. 845–58,
doi:10.1111/evo.13191.
short: H. Uecker, Evolution 71 (2017) 845–858.
date_created: 2018-12-11T11:49:57Z
date_published: 2017-04-01T00:00:00Z
date_updated: 2025-05-28T11:42:51Z
day: '01'
department:
- _id: NiBa
doi: 10.1111/evo.13191
ec_funded: 1
external_id:
isi:
- '000398545200003'
intvolume: ' 71'
isi: 1
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://biorxiv.org/content/early/2016/10/14/081042
month: '04'
oa: 1
oa_version: Submitted Version
page: 845 - 858
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Evolution
publication_identifier:
issn:
- '00143820'
publication_status: published
publisher: Wiley-Blackwell
publist_id: '6327'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Evolutionary rescue in randomly mating, selfing, and clonal populations
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 71
year: '2017'
...
---
_id: '1191'
abstract:
- lang: eng
text: Variation in genotypes may be responsible for differences in dispersal rates,
directional biases, and growth rates of individuals. These traits may favor certain
genotypes and enhance their spatiotemporal spreading into areas occupied by the
less advantageous genotypes. We study how these factors influence the speed of
spreading in the case of two competing genotypes under the assumption that spatial
variation of the total population is small compared to the spatial variation of
the frequencies of the genotypes in the population. In that case, the dynamics
of the frequency of one of the genotypes is approximately described by a generalized
Fisher–Kolmogorov–Petrovskii–Piskunov (F–KPP) equation. This generalized F–KPP
equation with (nonlinear) frequency-dependent diffusion and advection terms admits
traveling wave solutions that characterize the invasion of the dominant genotype.
Our existence results generalize the classical theory for traveling waves for
the F–KPP with constant coefficients. Moreover, in the particular case of the
quadratic (monostable) nonlinear growth–decay rate in the generalized F–KPP we
study in detail the influence of the variance in diffusion and mean displacement
rates of the two genotypes on the minimal wave propagation speed.
acknowledgement: "We thank Nick Barton, Katarína Bod’ová, and Sr\r\n-\r\ndan Sarikas
for constructive feed-\r\nback and support. Furthermore, we would like to express
our deep gratitude to the anonymous referees (one\r\nof whom, Jimmy Garnier, agreed
to reveal his identity) and the editor Max Souza, for very helpful and\r\ndetailed
comments and suggestions that significantly helped us to improve the manuscript.
This project has\r\nreceived funding from the European Union’s Seventh Framework
Programme for research, technological\r\ndevelopment and demonstration under Grant
Agreement 618091 Speed of Adaptation in Population Genet-\r\nics and Evolutionary
Computation (SAGE) and the European Research Council (ERC) Grant No. 250152\r\n(SN),
from the Scientific Grant Agency of the Slovak Republic under the Grant 1/0459/13
and by the Slovak\r\nResearch and Development Agency under the Contract No. APVV-14-0378
(RK). RK would also like to\r\nthank IST Austria for its hospitality during the
work on this project."
author:
- first_name: Richard
full_name: Kollár, Richard
last_name: Kollár
- first_name: Sebastian
full_name: Novak, Sebastian
id: 461468AE-F248-11E8-B48F-1D18A9856A87
last_name: Novak
orcid: 0000-0002-2519-824X
citation:
ama: Kollár R, Novak S. Existence of traveling waves for the generalized F–KPP equation.
Bulletin of Mathematical Biology. 2017;79(3):525-559. doi:10.1007/s11538-016-0244-3
apa: Kollár, R., & Novak, S. (2017). Existence of traveling waves for the generalized
F–KPP equation. Bulletin of Mathematical Biology. Springer. https://doi.org/10.1007/s11538-016-0244-3
chicago: Kollár, Richard, and Sebastian Novak. “Existence of Traveling Waves for
the Generalized F–KPP Equation.” Bulletin of Mathematical Biology. Springer,
2017. https://doi.org/10.1007/s11538-016-0244-3.
ieee: R. Kollár and S. Novak, “Existence of traveling waves for the generalized
F–KPP equation,” Bulletin of Mathematical Biology, vol. 79, no. 3. Springer,
pp. 525–559, 2017.
ista: Kollár R, Novak S. 2017. Existence of traveling waves for the generalized
F–KPP equation. Bulletin of Mathematical Biology. 79(3), 525–559.
mla: Kollár, Richard, and Sebastian Novak. “Existence of Traveling Waves for the
Generalized F–KPP Equation.” Bulletin of Mathematical Biology, vol. 79,
no. 3, Springer, 2017, pp. 525–59, doi:10.1007/s11538-016-0244-3.
short: R. Kollár, S. Novak, Bulletin of Mathematical Biology 79 (2017) 525–559.
date_created: 2018-12-11T11:50:38Z
date_published: 2017-03-01T00:00:00Z
date_updated: 2025-05-28T11:42:46Z
day: '01'
department:
- _id: NiBa
doi: 10.1007/s11538-016-0244-3
ec_funded: 1
intvolume: ' 79'
issue: '3'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://arxiv.org/abs/1607.00944
month: '03'
oa: 1
oa_version: Preprint
page: 525-559
project:
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Bulletin of Mathematical Biology
publication_status: published
publisher: Springer
publist_id: '6160'
quality_controlled: '1'
scopus_import: 1
status: public
title: Existence of traveling waves for the generalized F–KPP equation
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 79
year: '2017'
...
---
_id: '1199'
abstract:
- lang: eng
text: Much of quantitative genetics is based on the ‘infinitesimal model’, under
which selection has a negligible effect on the genetic variance. This is typically
justified by assuming a very large number of loci with additive effects. However,
it applies even when genes interact, provided that the number of loci is large
enough that selection on each of them is weak relative to random drift. In the
long term, directional selection will change allele frequencies, but even then,
the effects of epistasis on the ultimate change in trait mean due to selection
may be modest. Stabilising selection can maintain many traits close to their optima,
even when the underlying alleles are weakly selected. However, the number of traits
that can be optimised is apparently limited to ~4Ne by the ‘drift load’, and this
is hard to reconcile with the apparent complexity of many organisms. Just as for
the mutation load, this limit can be evaded by a particular form of negative epistasis.
A more robust limit is set by the variance in reproductive success. This suggests
that selection accumulates information most efficiently in the infinitesimal regime,
when selection on individual alleles is weak, and comparable with random drift.
A review of evidence on selection strength suggests that although most variance
in fitness may be because of alleles with large Nes, substantial amounts of adaptation
may be because of alleles in the infinitesimal regime, in which epistasis has
modest effects.
article_processing_charge: No
author:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Barton NH. How does epistasis influence the response to selection? Heredity.
2017;118:96-109. doi:10.1038/hdy.2016.109
apa: Barton, N. H. (2017). How does epistasis influence the response to selection?
Heredity. Nature Publishing Group. https://doi.org/10.1038/hdy.2016.109
chicago: Barton, Nicholas H. “How Does Epistasis Influence the Response to Selection?”
Heredity. Nature Publishing Group, 2017. https://doi.org/10.1038/hdy.2016.109.
ieee: N. H. Barton, “How does epistasis influence the response to selection?,” Heredity,
vol. 118. Nature Publishing Group, pp. 96–109, 2017.
ista: Barton NH. 2017. How does epistasis influence the response to selection? Heredity.
118, 96–109.
mla: Barton, Nicholas H. “How Does Epistasis Influence the Response to Selection?”
Heredity, vol. 118, Nature Publishing Group, 2017, pp. 96–109, doi:10.1038/hdy.2016.109.
short: N.H. Barton, Heredity 118 (2017) 96–109.
date_created: 2018-12-11T11:50:40Z
date_published: 2017-01-01T00:00:00Z
date_updated: 2025-05-28T11:42:47Z
day: '01'
department:
- _id: NiBa
doi: 10.1038/hdy.2016.109
ec_funded: 1
external_id:
isi:
- '000392229100011'
intvolume: ' 118'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5176114/
month: '01'
oa: 1
oa_version: Submitted Version
page: 96 - 109
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Heredity
publication_status: published
publisher: Nature Publishing Group
publist_id: '6151'
quality_controlled: '1'
related_material:
record:
- id: '9710'
relation: research_data
status: public
scopus_import: '1'
status: public
title: How does epistasis influence the response to selection?
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 118
year: '2017'
...
---
_id: '990'
abstract:
- lang: eng
text: Assortative mating is an important driver of speciation in populations with
gene flow and is predicted to evolve under certain conditions in few-locus models.
However, the evolution of assortment is less understood for mating based on quantitative
traits, which are often characterized by high genetic variability and extensive
linkage disequilibrium between trait loci. We explore this scenario for a two-deme
model with migration, by considering a single polygenic trait subject to divergent
viability selection across demes, as well as assortative mating and sexual selection
within demes, and investigate how trait divergence is shaped by various evolutionary
forces. Our analysis reveals the existence of sharp thresholds of assortment strength,
at which divergence increases dramatically. We also study the evolution of assortment
via invasion of modifiers of mate discrimination and show that the ES assortment
strength has an intermediate value under a range of migration-selection parameters,
even in diverged populations, due to subtle effects which depend sensitively on
the extent of phenotypic variation within these populations. The evolutionary
dynamics of the polygenic trait is studied using the hypergeometric and infinitesimal
models. We further investigate the sensitivity of our results to the assumptions
of the hypergeometric model, using individual-based simulations.
article_processing_charge: No
author:
- first_name: Himani
full_name: Sachdeva, Himani
id: 42377A0A-F248-11E8-B48F-1D18A9856A87
last_name: Sachdeva
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Sachdeva H, Barton NH. Divergence and evolution of assortative mating in a
polygenic trait model of speciation with gene flow. Evolution; International
Journal of Organic Evolution. 2017;71(6):1478-1493. doi:10.1111/evo.13252
apa: Sachdeva, H., & Barton, N. H. (2017). Divergence and evolution of assortative
mating in a polygenic trait model of speciation with gene flow. Evolution;
International Journal of Organic Evolution. Wiley-Blackwell. https://doi.org/10.1111/evo.13252
chicago: Sachdeva, Himani, and Nicholas H Barton. “Divergence and Evolution of Assortative
Mating in a Polygenic Trait Model of Speciation with Gene Flow.” Evolution;
International Journal of Organic Evolution. Wiley-Blackwell, 2017. https://doi.org/10.1111/evo.13252.
ieee: H. Sachdeva and N. H. Barton, “Divergence and evolution of assortative mating
in a polygenic trait model of speciation with gene flow,” Evolution; International
Journal of Organic Evolution, vol. 71, no. 6. Wiley-Blackwell, pp. 1478–1493,
2017.
ista: Sachdeva H, Barton NH. 2017. Divergence and evolution of assortative mating
in a polygenic trait model of speciation with gene flow. Evolution; International
Journal of Organic Evolution. 71(6), 1478–1493.
mla: Sachdeva, Himani, and Nicholas H. Barton. “Divergence and Evolution of Assortative
Mating in a Polygenic Trait Model of Speciation with Gene Flow.” Evolution;
International Journal of Organic Evolution, vol. 71, no. 6, Wiley-Blackwell,
2017, pp. 1478–93, doi:10.1111/evo.13252.
short: H. Sachdeva, N.H. Barton, Evolution; International Journal of Organic Evolution
71 (2017) 1478–1493.
date_created: 2018-12-11T11:49:34Z
date_published: 2017-06-01T00:00:00Z
date_updated: 2025-05-28T11:42:51Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1111/evo.13252
ec_funded: 1
external_id:
isi:
- '000403014800005'
pmid:
- '28419447'
file:
- access_level: open_access
checksum: 6d4c38cb1347fd43620d1736c6df5c79
content_type: application/pdf
creator: dernst
date_created: 2019-04-17T07:37:04Z
date_updated: 2020-07-14T12:48:18Z
file_id: '6329'
file_name: 2017_Evolution_Sachdeva_supplement.pdf
file_size: 625260
relation: main_file
- access_level: open_access
checksum: f1d90dd8831b44baf49b4dd176f263af
content_type: application/pdf
creator: dernst
date_created: 2019-04-17T07:37:04Z
date_updated: 2020-07-14T12:48:18Z
file_id: '6330'
file_name: 2017_Evolution_Sachdeva_article.pdf
file_size: 520110
relation: main_file
file_date_updated: 2020-07-14T12:48:18Z
has_accepted_license: '1'
intvolume: ' 71'
isi: 1
issue: '6'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Submitted Version
page: '1478 - 1493 '
pmid: 1
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Evolution; International Journal of Organic Evolution
publication_identifier:
issn:
- '00143820'
publication_status: published
publisher: Wiley-Blackwell
publist_id: '6409'
pubrep_id: '977'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Divergence and evolution of assortative mating in a polygenic trait model of
speciation with gene flow
type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 71
year: '2017'
...
---
_id: '1631'
abstract:
- lang: eng
text: 'Ancestral processes are fundamental to modern population genetics and spatial
structure has been the subject of intense interest for many years. Despite this
interest, almost nothing is known about the distribution of the locations of pedigree
or genetic ancestors. Using both spatially continuous and stepping-stone models,
we show that the distribution of pedigree ancestors approaches a travelling wave,
for which we develop two alternative approximations. The speed and width of the
wave are sensitive to the local details of the model. After a short time, genetic
ancestors spread far more slowly than pedigree ancestors, ultimately diffusing
out with radius ## rather than spreading at constant speed. In contrast to the
wave of pedigree ancestors, the spread of genetic ancestry is insensitive to the
local details of the models.'
author:
- first_name: Jerome
full_name: Kelleher, Jerome
last_name: Kelleher
- first_name: Alison
full_name: Etheridge, Alison
last_name: Etheridge
- first_name: Amandine
full_name: Véber, Amandine
last_name: Véber
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Kelleher J, Etheridge A, Véber A, Barton NH. Spread of pedigree versus genetic
ancestry in spatially distributed populations. Theoretical Population Biology.
2016;108:1-12. doi:10.1016/j.tpb.2015.10.008
apa: Kelleher, J., Etheridge, A., Véber, A., & Barton, N. H. (2016). Spread
of pedigree versus genetic ancestry in spatially distributed populations. Theoretical
Population Biology. Academic Press. https://doi.org/10.1016/j.tpb.2015.10.008
chicago: Kelleher, Jerome, Alison Etheridge, Amandine Véber, and Nicholas H Barton.
“Spread of Pedigree versus Genetic Ancestry in Spatially Distributed Populations.”
Theoretical Population Biology. Academic Press, 2016. https://doi.org/10.1016/j.tpb.2015.10.008.
ieee: J. Kelleher, A. Etheridge, A. Véber, and N. H. Barton, “Spread of pedigree
versus genetic ancestry in spatially distributed populations,” Theoretical
Population Biology, vol. 108. Academic Press, pp. 1–12, 2016.
ista: Kelleher J, Etheridge A, Véber A, Barton NH. 2016. Spread of pedigree versus
genetic ancestry in spatially distributed populations. Theoretical Population
Biology. 108, 1–12.
mla: Kelleher, Jerome, et al. “Spread of Pedigree versus Genetic Ancestry in Spatially
Distributed Populations.” Theoretical Population Biology, vol. 108, Academic
Press, 2016, pp. 1–12, doi:10.1016/j.tpb.2015.10.008.
short: J. Kelleher, A. Etheridge, A. Véber, N.H. Barton, Theoretical Population
Biology 108 (2016) 1–12.
date_created: 2018-12-11T11:53:08Z
date_published: 2016-04-01T00:00:00Z
date_updated: 2021-01-12T06:52:07Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1016/j.tpb.2015.10.008
ec_funded: 1
file:
- access_level: open_access
checksum: 6a65ba187994d4ad86c1c509e0ff482a
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:11:12Z
date_updated: 2020-07-14T12:45:07Z
file_id: '4865'
file_name: IST-2016-465-v1+1_1-s2.0-S0040580915001094-main.pdf
file_size: 1684043
relation: main_file
file_date_updated: 2020-07-14T12:45:07Z
has_accepted_license: '1'
intvolume: ' 108'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: 1 - 12
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Theoretical Population Biology
publication_status: published
publisher: Academic Press
publist_id: '5524'
pubrep_id: '465'
quality_controlled: '1'
scopus_import: 1
status: public
title: Spread of pedigree versus genetic ancestry in spatially distributed populations
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 108
year: '2016'
...
---
_id: '1518'
abstract:
- lang: eng
text: The inference of demographic history from genome data is hindered by a lack
of efficient computational approaches. In particular, it has proved difficult
to exploit the information contained in the distribution of genealogies across
the genome. We have previously shown that the generating function (GF) of genealogies
can be used to analytically compute likelihoods of demographic models from configurations
of mutations in short sequence blocks (Lohse et al. 2011). Although the GF has
a simple, recursive form, the size of such likelihood calculations explodes quickly
with the number of individuals and applications of this framework have so far
been mainly limited to small samples (pairs and triplets) for which the GF can
be written by hand. Here we investigate several strategies for exploiting the
inherent symmetries of the coalescent. In particular, we show that the GF of genealogies
can be decomposed into a set of equivalence classes that allows likelihood calculations
from nontrivial samples. Using this strategy, we automated blockwise likelihood
calculations for a general set of demographic scenarios in Mathematica. These
histories may involve population size changes, continuous migration, discrete
divergence, and admixture between multiple populations. To give a concrete example,
we calculate the likelihood for a model of isolation with migration (IM), assuming
two diploid samples without phase and outgroup information. We demonstrate the
new inference scheme with an analysis of two individual butterfly genomes from
the sister species Heliconius melpomene rosina and H. cydno.
acknowledgement: "We thank Lynsey Bunnefeld for discussions throughout the project
and Joshua Schraiber and one anonymous reviewer\r\nfor constructive comments on
an earlier version of this manuscript. This work was supported by funding from the\r\nUnited
Kingdom Natural Environment Research Council (to K.L.) (NE/I020288/1) and a grant
from the European\r\nResearch Council (250152) (to N.H.B.)."
article_processing_charge: No
article_type: original
author:
- first_name: Konrad
full_name: Lohse, Konrad
last_name: Lohse
- first_name: Martin
full_name: Chmelik, Martin
id: 3624234E-F248-11E8-B48F-1D18A9856A87
last_name: Chmelik
- first_name: Simon
full_name: Martin, Simon
last_name: Martin
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Lohse K, Chmelik M, Martin S, Barton NH. Efficient strategies for calculating
blockwise likelihoods under the coalescent. Genetics. 2016;202(2):775-786.
doi:10.1534/genetics.115.183814
apa: Lohse, K., Chmelik, M., Martin, S., & Barton, N. H. (2016). Efficient strategies
for calculating blockwise likelihoods under the coalescent. Genetics. Genetics
Society of America. https://doi.org/10.1534/genetics.115.183814
chicago: Lohse, Konrad, Martin Chmelik, Simon Martin, and Nicholas H Barton. “Efficient
Strategies for Calculating Blockwise Likelihoods under the Coalescent.” Genetics.
Genetics Society of America, 2016. https://doi.org/10.1534/genetics.115.183814.
ieee: K. Lohse, M. Chmelik, S. Martin, and N. H. Barton, “Efficient strategies for
calculating blockwise likelihoods under the coalescent,” Genetics, vol.
202, no. 2. Genetics Society of America, pp. 775–786, 2016.
ista: Lohse K, Chmelik M, Martin S, Barton NH. 2016. Efficient strategies for calculating
blockwise likelihoods under the coalescent. Genetics. 202(2), 775–786.
mla: Lohse, Konrad, et al. “Efficient Strategies for Calculating Blockwise Likelihoods
under the Coalescent.” Genetics, vol. 202, no. 2, Genetics Society of America,
2016, pp. 775–86, doi:10.1534/genetics.115.183814.
short: K. Lohse, M. Chmelik, S. Martin, N.H. Barton, Genetics 202 (2016) 775–786.
date_created: 2018-12-11T11:52:29Z
date_published: 2016-02-01T00:00:00Z
date_updated: 2025-05-28T11:42:48Z
day: '01'
ddc:
- '570'
department:
- _id: KrCh
- _id: NiBa
doi: 10.1534/genetics.115.183814
ec_funded: 1
external_id:
pmid:
- '26715666'
file:
- access_level: open_access
checksum: 41c9b5d72e7fe4624dd22dfe622337d5
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:16:51Z
date_updated: 2020-07-14T12:45:00Z
file_id: '5241'
file_name: IST-2016-561-v1+1_Lohse_et_al_Genetics_2015.pdf
file_size: 957466
relation: main_file
file_date_updated: 2020-07-14T12:45:00Z
has_accepted_license: '1'
intvolume: ' 202'
issue: '2'
language:
- iso: eng
month: '02'
oa: 1
oa_version: Preprint
page: 775 - 786
pmid: 1
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
publication: Genetics
publication_status: published
publisher: Genetics Society of America
publist_id: '5658'
pubrep_id: '561'
quality_controlled: '1'
scopus_import: '1'
status: public
title: Efficient strategies for calculating blockwise likelihoods under the coalescent
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 202
year: '2016'
...
---
_id: '1358'
abstract:
- lang: eng
text: 'Gene regulation relies on the specificity of transcription factor (TF)–DNA
interactions. Limited specificity may lead to crosstalk: a regulatory state in
which a gene is either incorrectly activated due to noncognate TF–DNA interactions
or remains erroneously inactive. As each TF can have numerous interactions with
noncognate cis-regulatory elements, crosstalk is inherently a global problem,
yet has previously not been studied as such. We construct a theoretical framework
to analyse the effects of global crosstalk on gene regulation. We find that crosstalk
presents a significant challenge for organisms with low-specificity TFs, such
as metazoans. Crosstalk is not easily mitigated by known regulatory schemes acting
at equilibrium, including variants of cooperativity and combinatorial regulation.
Our results suggest that crosstalk imposes a previously unexplored global constraint
on the functioning and evolution of regulatory networks, which is qualitatively
distinct from the known constraints that act at the level of individual gene regulatory
elements.'
article_number: '12307'
author:
- first_name: Tamar
full_name: Friedlander, Tamar
id: 36A5845C-F248-11E8-B48F-1D18A9856A87
last_name: Friedlander
- first_name: Roshan
full_name: Prizak, Roshan
id: 4456104E-F248-11E8-B48F-1D18A9856A87
last_name: Prizak
- first_name: Calin C
full_name: Guet, Calin C
id: 47F8433E-F248-11E8-B48F-1D18A9856A87
last_name: Guet
orcid: 0000-0001-6220-2052
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
citation:
ama: Friedlander T, Prizak R, Guet CC, Barton NH, Tkačik G. Intrinsic limits to
gene regulation by global crosstalk. Nature Communications. 2016;7. doi:10.1038/ncomms12307
apa: Friedlander, T., Prizak, R., Guet, C. C., Barton, N. H., & Tkačik, G. (2016).
Intrinsic limits to gene regulation by global crosstalk. Nature Communications.
Nature Publishing Group. https://doi.org/10.1038/ncomms12307
chicago: Friedlander, Tamar, Roshan Prizak, Calin C Guet, Nicholas H Barton, and
Gašper Tkačik. “Intrinsic Limits to Gene Regulation by Global Crosstalk.” Nature
Communications. Nature Publishing Group, 2016. https://doi.org/10.1038/ncomms12307.
ieee: T. Friedlander, R. Prizak, C. C. Guet, N. H. Barton, and G. Tkačik, “Intrinsic
limits to gene regulation by global crosstalk,” Nature Communications,
vol. 7. Nature Publishing Group, 2016.
ista: Friedlander T, Prizak R, Guet CC, Barton NH, Tkačik G. 2016. Intrinsic limits
to gene regulation by global crosstalk. Nature Communications. 7, 12307.
mla: Friedlander, Tamar, et al. “Intrinsic Limits to Gene Regulation by Global Crosstalk.”
Nature Communications, vol. 7, 12307, Nature Publishing Group, 2016, doi:10.1038/ncomms12307.
short: T. Friedlander, R. Prizak, C.C. Guet, N.H. Barton, G. Tkačik, Nature Communications
7 (2016).
date_created: 2018-12-11T11:51:34Z
date_published: 2016-08-04T00:00:00Z
date_updated: 2023-09-07T12:53:49Z
day: '04'
ddc:
- '576'
department:
- _id: GaTk
- _id: NiBa
- _id: CaGu
doi: 10.1038/ncomms12307
ec_funded: 1
file:
- access_level: open_access
checksum: fe3f3a1526d180b29fe691ab11435b78
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:01Z
date_updated: 2020-07-14T12:44:46Z
file_id: '4919'
file_name: IST-2016-627-v1+1_ncomms12307.pdf
file_size: 861805
relation: main_file
- access_level: open_access
checksum: 164864a1a675f3ad80e9917c27aba07f
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:12:02Z
date_updated: 2020-07-14T12:44:46Z
file_id: '4920'
file_name: IST-2016-627-v1+2_ncomms12307-s1.pdf
file_size: 1084703
relation: main_file
file_date_updated: 2020-07-14T12:44:46Z
has_accepted_license: '1'
intvolume: ' 7'
language:
- iso: eng
month: '08'
oa: 1
oa_version: Published Version
project:
- _id: 25681D80-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '291734'
name: International IST Postdoc Fellowship Programme
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 254E9036-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: P28844-B27
name: Biophysics of information processing in gene regulation
publication: Nature Communications
publication_status: published
publisher: Nature Publishing Group
publist_id: '5887'
pubrep_id: '627'
quality_controlled: '1'
related_material:
record:
- id: '6071'
relation: dissertation_contains
status: public
scopus_import: 1
status: public
title: Intrinsic limits to gene regulation by global crosstalk
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)
short: CC BY (4.0)
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 7
year: '2016'
...
---
_id: '1359'
abstract:
- lang: eng
text: "The role of gene interactions in the evolutionary process has long\r\nbeen
controversial. Although some argue that they are not of\r\nimportance, because
most variation is additive, others claim that\r\ntheir effect in the long term
can be substantial. Here, we focus on\r\nthe long-term effects of genetic interactions
under directional\r\nselection assuming no mutation or dominance, and that epistasis
is\r\nsymmetrical overall. We ask by how much the mean of a complex\r\ntrait can
be increased by selection and analyze two extreme\r\nregimes, in which either
drift or selection dominate the dynamics\r\nof allele frequencies. In both scenarios,
epistatic interactions affect\r\nthe long-term response to selection by modulating
the additive\r\ngenetic variance. When drift dominates, we extend Robertson\r\n’\r\ns\r\n[Robertson
A (1960)\r\nProc R Soc Lond B Biol Sci\r\n153(951):234\r\n−\r\n249]\r\nargument
to show that, for any form of epistasis, the total response\r\nof a haploid population
is proportional to the initial total genotypic\r\nvariance. In contrast, the total
response of a diploid population is\r\nincreased by epistasis, for a given initial
genotypic variance. When\r\nselection dominates, we show that the total selection
response can\r\nonly be increased by epistasis when s\r\nome initially deleterious
alleles\r\nbecome favored as the genetic background changes. We find a sim-\r\nple
approximation for this effect and show that, in this regime, it is\r\nthe structure
of the genotype - phenotype map that matters and not\r\nthe variance components
of the population."
article_processing_charge: No
article_type: original
author:
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Paixao T, Barton NH. The effect of gene interactions on the long-term response
to selection. PNAS. 2016;113(16):4422-4427. doi:10.1073/pnas.1518830113
apa: Paixao, T., & Barton, N. H. (2016). The effect of gene interactions on
the long-term response to selection. PNAS. National Academy of Sciences.
https://doi.org/10.1073/pnas.1518830113
chicago: Paixao, Tiago, and Nicholas H Barton. “The Effect of Gene Interactions
on the Long-Term Response to Selection.” PNAS. National Academy of Sciences,
2016. https://doi.org/10.1073/pnas.1518830113.
ieee: T. Paixao and N. H. Barton, “The effect of gene interactions on the long-term
response to selection,” PNAS, vol. 113, no. 16. National Academy of Sciences,
pp. 4422–4427, 2016.
ista: Paixao T, Barton NH. 2016. The effect of gene interactions on the long-term
response to selection. PNAS. 113(16), 4422–4427.
mla: Paixao, Tiago, and Nicholas H. Barton. “The Effect of Gene Interactions on
the Long-Term Response to Selection.” PNAS, vol. 113, no. 16, National
Academy of Sciences, 2016, pp. 4422–27, doi:10.1073/pnas.1518830113.
short: T. Paixao, N.H. Barton, PNAS 113 (2016) 4422–4427.
date_created: 2018-12-11T11:51:34Z
date_published: 2016-04-19T00:00:00Z
date_updated: 2021-01-12T06:50:08Z
day: '19'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1073/pnas.1518830113
ec_funded: 1
external_id:
pmid:
- '27044080'
intvolume: ' 113'
issue: '16'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4843425/
month: '04'
oa: 1
oa_version: Published Version
page: 4422 - 4427
pmid: 1
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
publication: PNAS
publication_status: published
publisher: National Academy of Sciences
publist_id: '5886'
quality_controlled: '1'
scopus_import: 1
status: public
title: The effect of gene interactions on the long-term response to selection
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 113
year: '2016'
...