---
_id: '1359'
abstract:
- lang: eng
text: "The role of gene interactions in the evolutionary process has long\r\nbeen
controversial. Although some argue that they are not of\r\nimportance, because
most variation is additive, others claim that\r\ntheir effect in the long term
can be substantial. Here, we focus on\r\nthe long-term effects of genetic interactions
under directional\r\nselection assuming no mutation or dominance, and that epistasis
is\r\nsymmetrical overall. We ask by how much the mean of a complex\r\ntrait can
be increased by selection and analyze two extreme\r\nregimes, in which either
drift or selection dominate the dynamics\r\nof allele frequencies. In both scenarios,
epistatic interactions affect\r\nthe long-term response to selection by modulating
the additive\r\ngenetic variance. When drift dominates, we extend Robertson\r\n’\r\ns\r\n[Robertson
A (1960)\r\nProc R Soc Lond B Biol Sci\r\n153(951):234\r\n−\r\n249]\r\nargument
to show that, for any form of epistasis, the total response\r\nof a haploid population
is proportional to the initial total genotypic\r\nvariance. In contrast, the total
response of a diploid population is\r\nincreased by epistasis, for a given initial
genotypic variance. When\r\nselection dominates, we show that the total selection
response can\r\nonly be increased by epistasis when s\r\nome initially deleterious
alleles\r\nbecome favored as the genetic background changes. We find a sim-\r\nple
approximation for this effect and show that, in this regime, it is\r\nthe structure
of the genotype - phenotype map that matters and not\r\nthe variance components
of the population."
article_processing_charge: No
article_type: original
author:
- first_name: Tiago
full_name: Paixao, Tiago
id: 2C5658E6-F248-11E8-B48F-1D18A9856A87
last_name: Paixao
orcid: 0000-0003-2361-3953
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
citation:
ama: Paixao T, Barton NH. The effect of gene interactions on the long-term response
to selection. PNAS. 2016;113(16):4422-4427. doi:10.1073/pnas.1518830113
apa: Paixao, T., & Barton, N. H. (2016). The effect of gene interactions on
the long-term response to selection. PNAS. National Academy of Sciences.
https://doi.org/10.1073/pnas.1518830113
chicago: Paixao, Tiago, and Nicholas H Barton. “The Effect of Gene Interactions
on the Long-Term Response to Selection.” PNAS. National Academy of Sciences,
2016. https://doi.org/10.1073/pnas.1518830113.
ieee: T. Paixao and N. H. Barton, “The effect of gene interactions on the long-term
response to selection,” PNAS, vol. 113, no. 16. National Academy of Sciences,
pp. 4422–4427, 2016.
ista: Paixao T, Barton NH. 2016. The effect of gene interactions on the long-term
response to selection. PNAS. 113(16), 4422–4427.
mla: Paixao, Tiago, and Nicholas H. Barton. “The Effect of Gene Interactions on
the Long-Term Response to Selection.” PNAS, vol. 113, no. 16, National
Academy of Sciences, 2016, pp. 4422–27, doi:10.1073/pnas.1518830113.
short: T. Paixao, N.H. Barton, PNAS 113 (2016) 4422–4427.
date_created: 2018-12-11T11:51:34Z
date_published: 2016-04-19T00:00:00Z
date_updated: 2021-01-12T06:50:08Z
day: '19'
department:
- _id: NiBa
- _id: CaGu
doi: 10.1073/pnas.1518830113
ec_funded: 1
external_id:
pmid:
- '27044080'
intvolume: ' 113'
issue: '16'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4843425/
month: '04'
oa: 1
oa_version: Published Version
page: 4422 - 4427
pmid: 1
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 25B1EC9E-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '618091'
name: Speed of Adaptation in Population Genetics and Evolutionary Computation
publication: PNAS
publication_status: published
publisher: National Academy of Sciences
publist_id: '5886'
quality_controlled: '1'
scopus_import: 1
status: public
title: The effect of gene interactions on the long-term response to selection
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 113
year: '2016'
...
---
_id: '1356'
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. Sewall Wright on evolution in Mendelian populations and the “Shifting
Balance.” Genetics. 2016;202(1):3-4. doi:10.1534/genetics.115.184796
apa: Barton, N. H. (2016). Sewall Wright on evolution in Mendelian populations and
the “Shifting Balance.” Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.115.184796
chicago: Barton, Nicholas H. “Sewall Wright on Evolution in Mendelian Populations
and the ‘Shifting Balance.’” Genetics. Genetics Society of America, 2016.
https://doi.org/10.1534/genetics.115.184796.
ieee: N. H. Barton, “Sewall Wright on evolution in Mendelian populations and the
‘Shifting Balance,’” Genetics, vol. 202, no. 1. Genetics Society of America,
pp. 3–4, 2016.
ista: Barton NH. 2016. Sewall Wright on evolution in Mendelian populations and the
“Shifting Balance”. Genetics. 202(1), 3–4.
mla: Barton, Nicholas H. “Sewall Wright on Evolution in Mendelian Populations and
the ‘Shifting Balance.’” Genetics, vol. 202, no. 1, Genetics Society of
America, 2016, pp. 3–4, doi:10.1534/genetics.115.184796.
short: N.H. Barton, Genetics 202 (2016) 3–4.
date_created: 2018-12-11T11:51:33Z
date_published: 2016-01-05T00:00:00Z
date_updated: 2021-01-12T06:50:07Z
day: '05'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1534/genetics.115.184796
file:
- access_level: open_access
checksum: 3562b89c821a4be84edf2b6ebd870cf5
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:08:26Z
date_updated: 2020-07-14T12:44:46Z
file_id: '4687'
file_name: IST-2017-769-v1+1_SewallWright1931.pdf
file_size: 112674
relation: main_file
file_date_updated: 2020-07-14T12:44:46Z
has_accepted_license: '1'
intvolume: ' 202'
issue: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Submitted Version
page: 3 - 4
publication: Genetics
publication_status: published
publisher: Genetics Society of America
publist_id: '5889'
pubrep_id: '769'
quality_controlled: '1'
scopus_import: 1
status: public
title: Sewall Wright on evolution in Mendelian populations and the “Shifting Balance”
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 202
year: '2016'
...
---
_id: '1357'
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. Richard Hudson and Norman Kaplan on the coalescent process. Genetics.
2016;202(3):865-866. doi:10.1534/genetics.116.187542
apa: Barton, N. H. (2016). Richard Hudson and Norman Kaplan on the coalescent process.
Genetics. Genetics Society of America. https://doi.org/10.1534/genetics.116.187542
chicago: Barton, Nicholas H. “Richard Hudson and Norman Kaplan on the Coalescent
Process.” Genetics. Genetics Society of America, 2016. https://doi.org/10.1534/genetics.116.187542.
ieee: N. H. Barton, “Richard Hudson and Norman Kaplan on the coalescent process,”
Genetics, vol. 202, no. 3. Genetics Society of America, pp. 865–866, 2016.
ista: Barton NH. 2016. Richard Hudson and Norman Kaplan on the coalescent process.
Genetics. 202(3), 865–866.
mla: Barton, Nicholas H. “Richard Hudson and Norman Kaplan on the Coalescent Process.”
Genetics, vol. 202, no. 3, Genetics Society of America, 2016, pp. 865–66,
doi:10.1534/genetics.116.187542.
short: N.H. Barton, Genetics 202 (2016) 865–866.
date_created: 2018-12-11T11:51:33Z
date_published: 2016-03-01T00:00:00Z
date_updated: 2021-01-12T06:50:07Z
day: '01'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1534/genetics.116.187542
file:
- access_level: open_access
checksum: b2174bab2de1d1142900062a150f35c9
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:15:09Z
date_updated: 2020-07-14T12:44:46Z
file_id: '5127'
file_name: IST-2017-768-v1+1_Hudson-Kaplan-1988.pdf
file_size: 130779
relation: main_file
file_date_updated: 2020-07-14T12:44:46Z
has_accepted_license: '1'
intvolume: ' 202'
issue: '3'
language:
- iso: eng
month: '03'
oa: 1
oa_version: Submitted Version
page: 865 - 866
publication: Genetics
publication_status: published
publisher: Genetics Society of America
publist_id: '5888'
pubrep_id: '768'
quality_controlled: '1'
scopus_import: 1
status: public
title: Richard Hudson and Norman Kaplan on the coalescent process
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 202
year: '2016'
...
---
_id: '1409'
author:
- first_name: Richard
full_name: Abbott, Richard
last_name: Abbott
- 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: Jeffrey
full_name: Good, Jeffrey
last_name: Good
citation:
ama: Abbott R, Barton NH, Good J. Genomics of hybridization and its evolutionary
consequences. Molecular Ecology. 2016;25(11):2325-2332. doi:10.1111/mec.13685
apa: Abbott, R., Barton, N. H., & Good, J. (2016). Genomics of hybridization
and its evolutionary consequences. Molecular Ecology. Wiley-Blackwell.
https://doi.org/10.1111/mec.13685
chicago: Abbott, Richard, Nicholas H Barton, and Jeffrey Good. “Genomics of Hybridization
and Its Evolutionary Consequences.” Molecular Ecology. Wiley-Blackwell,
2016. https://doi.org/10.1111/mec.13685.
ieee: R. Abbott, N. H. Barton, and J. Good, “Genomics of hybridization and its evolutionary
consequences,” Molecular Ecology, vol. 25, no. 11. Wiley-Blackwell, pp.
2325–2332, 2016.
ista: Abbott R, Barton NH, Good J. 2016. Genomics of hybridization and its evolutionary
consequences. Molecular Ecology. 25(11), 2325–2332.
mla: Abbott, Richard, et al. “Genomics of Hybridization and Its Evolutionary Consequences.”
Molecular Ecology, vol. 25, no. 11, Wiley-Blackwell, 2016, pp. 2325–32,
doi:10.1111/mec.13685.
short: R. Abbott, N.H. Barton, J. Good, Molecular Ecology 25 (2016) 2325–2332.
date_created: 2018-12-11T11:51:51Z
date_published: 2016-06-08T00:00:00Z
date_updated: 2021-01-12T06:50:33Z
day: '08'
ddc:
- '576'
department:
- _id: NiBa
doi: 10.1111/mec.13685
file:
- access_level: open_access
checksum: ede7d0b8a471754f71f17e2b20f3135b
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:10:12Z
date_updated: 2020-07-14T12:44:53Z
file_id: '4797'
file_name: IST-2017-772-v1+1_AbbotEtAl2016-3.pdf
file_size: 226137
relation: main_file
file_date_updated: 2020-07-14T12:44:53Z
has_accepted_license: '1'
intvolume: ' 25'
issue: '11'
language:
- iso: eng
month: '06'
oa: 1
oa_version: Submitted Version
page: 2325 - 2332
publication: Molecular Ecology
publication_status: published
publisher: Wiley-Blackwell
publist_id: '5798'
pubrep_id: '772'
quality_controlled: '1'
scopus_import: 1
status: public
title: Genomics of hybridization and its evolutionary consequences
type: journal_article
user_id: 3E5EF7F0-F248-11E8-B48F-1D18A9856A87
volume: 25
year: '2016'
...
---
_id: '1420'
abstract:
- lang: eng
text: 'Selection, mutation, and random drift affect the dynamics of allele frequencies
and consequently of quantitative traits. While the macroscopic dynamics of quantitative
traits can be measured, the underlying allele frequencies are typically unobserved.
Can we understand how the macroscopic observables evolve without following these
microscopic processes? This problem has been studied previously by analogy with
statistical mechanics: the allele frequency distribution at each time point is
approximated by the stationary form, which maximizes entropy. We explore the limitations
of this method when mutation is small (4Nμ < 1) so that populations are typically
close to fixation, and we extend the theory in this regime to account for changes
in mutation strength. We consider a single diallelic locus either under directional
selection or with overdominance and then generalize to multiple unlinked biallelic
loci with unequal effects. We find that the maximum-entropy approximation is remarkably
accurate, even when mutation and selection change rapidly. '
article_processing_charge: No
author:
- first_name: Katarína
full_name: Bod'ová, Katarína
id: 2BA24EA0-F248-11E8-B48F-1D18A9856A87
last_name: Bod'ová
orcid: 0000-0002-7214-0171
- first_name: Gasper
full_name: Tkacik, Gasper
id: 3D494DCA-F248-11E8-B48F-1D18A9856A87
last_name: Tkacik
orcid: 0000-0002-6699-1455
- 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: Bodova K, Tkačik G, Barton NH. A general approximation for the dynamics of
quantitative traits. Genetics. 2016;202(4):1523-1548. doi:10.1534/genetics.115.184127
apa: Bodova, K., Tkačik, G., & Barton, N. H. (2016). A general approximation
for the dynamics of quantitative traits. Genetics. Genetics Society of
America. https://doi.org/10.1534/genetics.115.184127
chicago: Bodova, Katarina, Gašper Tkačik, and Nicholas H Barton. “A General Approximation
for the Dynamics of Quantitative Traits.” Genetics. Genetics Society of
America, 2016. https://doi.org/10.1534/genetics.115.184127.
ieee: K. Bodova, G. Tkačik, and N. H. Barton, “A general approximation for the dynamics
of quantitative traits,” Genetics, vol. 202, no. 4. Genetics Society of
America, pp. 1523–1548, 2016.
ista: Bodova K, Tkačik G, Barton NH. 2016. A general approximation for the dynamics
of quantitative traits. Genetics. 202(4), 1523–1548.
mla: Bodova, Katarina, et al. “A General Approximation for the Dynamics of Quantitative
Traits.” Genetics, vol. 202, no. 4, Genetics Society of America, 2016,
pp. 1523–48, doi:10.1534/genetics.115.184127.
short: K. Bodova, G. Tkačik, N.H. Barton, Genetics 202 (2016) 1523–1548.
date_created: 2018-12-11T11:51:55Z
date_published: 2016-04-06T00:00:00Z
date_updated: 2022-08-01T10:49:55Z
day: '06'
department:
- _id: GaTk
- _id: NiBa
doi: 10.1534/genetics.115.184127
ec_funded: 1
external_id:
arxiv:
- '1510.08344'
intvolume: ' 202'
issue: '4'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://arxiv.org/abs/1510.08344
month: '04'
oa: 1
oa_version: Preprint
page: 1523 - 1548
project:
- _id: 25B07788-B435-11E9-9278-68D0E5697425
call_identifier: FP7
grant_number: '250152'
name: Limits to selection in biology and in evolutionary computation
- _id: 255008E4-B435-11E9-9278-68D0E5697425
grant_number: RGP0065/2012
name: Information processing and computation in fish groups
publication: Genetics
publication_status: published
publisher: Genetics Society of America
publist_id: '5787'
quality_controlled: '1'
scopus_import: '1'
status: public
title: A general approximation for the dynamics of quantitative traits
type: journal_article
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
volume: 202
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: 2022-05-24T09:16:22Z
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: '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: '1158'
abstract:
- lang: eng
text: Speciation results from the progressive accumulation of mutations that decrease
the probability of mating between parental populations or reduce the fitness of
hybrids—the so-called species barriers. The speciation genomic literature, however,
is mainly a collection of case studies, each with its own approach and specificities,
such that a global view of the gradual process of evolution from one to two species
is currently lacking. Of primary importance is the prevalence of gene flow between
diverging entities, which is central in most species concepts and has been widely
discussed in recent years. Here, we explore the continuum of speciation thanks
to a comparative analysis of genomic data from 61 pairs of populations/species
of animals with variable levels of divergence. Gene flow between diverging gene
pools is assessed under an approximate Bayesian computation (ABC) framework. We
show that the intermediate "grey zone" of speciation, in which taxonomy
is often controversial, spans from 0.5% to 2% of net synonymous divergence, irrespective
of species life history traits or ecology. Thanks to appropriate modeling of among-locus
variation in genetic drift and introgression rate, we clarify the status of the
majority of ambiguous cases and uncover a number of cryptic species. Our analysis
also reveals the high incidence in animals of semi-isolated species (when some
but not all loci are affected by barriers to gene flow) and highlights the intrinsic
difficulty, both statistical and conceptual, of delineating species in the grey
zone of speciation.
acknowledgement: "European Research Council (ERC) https://erc.europa.eu/ (grant number
ERC grant 232971). PopPhyl project. The funder had no role in study design, data
collection and analysis, decision to publish, or preparation of the manuscript.
French National Research Agency (ANR) http://www.agence-nationale-recherche.fr/en/project-based-funding-to-advance-french-research/
(grant number ANR-12-BSV7- 0011). HYSEA project.\r\nWe thank Aude Darracq, Vincent
Castric, Pierre-Alexandre Gagnaire, Xavier Vekemans, and John Welch for insightful
discussions. The computations were performed at the Vital-IT (http://www.vital-it.ch)
Center for high-performance computing of the SIB Swiss Institute of Bioinformatics
and the ISEM computing cluster at the platform Montpellier Bioinformatique et Biodiversité."
article_number: e2000234
author:
- first_name: Camille
full_name: Roux, Camille
last_name: Roux
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Jonathan
full_name: Romiguier, Jonathan
last_name: Romiguier
- first_name: Youann
full_name: Anciaux, Youann
last_name: Anciaux
- first_name: Nicolas
full_name: Galtier, Nicolas
last_name: Galtier
- first_name: Nicolas
full_name: Bierne, Nicolas
last_name: Bierne
citation:
ama: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. Shedding light
on the grey zone of speciation along a continuum of genomic divergence. PLoS
Biology. 2016;14(12). doi:10.1371/journal.pbio.2000234
apa: Roux, C., Fraisse, C., Romiguier, J., Anciaux, Y., Galtier, N., & Bierne,
N. (2016). Shedding light on the grey zone of speciation along a continuum of
genomic divergence. PLoS Biology. Public Library of Science. https://doi.org/10.1371/journal.pbio.2000234
chicago: Roux, Camille, Christelle Fraisse, Jonathan Romiguier, Youann Anciaux,
Nicolas Galtier, and Nicolas Bierne. “Shedding Light on the Grey Zone of Speciation
along a Continuum of Genomic Divergence.” PLoS Biology. Public Library
of Science, 2016. https://doi.org/10.1371/journal.pbio.2000234.
ieee: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, and N. Bierne,
“Shedding light on the grey zone of speciation along a continuum of genomic divergence,”
PLoS Biology, vol. 14, no. 12. Public Library of Science, 2016.
ista: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. 2016. Shedding
light on the grey zone of speciation along a continuum of genomic divergence.
PLoS Biology. 14(12), e2000234.
mla: Roux, Camille, et al. “Shedding Light on the Grey Zone of Speciation along
a Continuum of Genomic Divergence.” PLoS Biology, vol. 14, no. 12, e2000234,
Public Library of Science, 2016, doi:10.1371/journal.pbio.2000234.
short: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, N. Bierne, PLoS
Biology 14 (2016).
date_created: 2018-12-11T11:50:28Z
date_published: 2016-12-27T00:00:00Z
date_updated: 2023-02-23T14:11:16Z
day: '27'
ddc:
- '576'
department:
- _id: BeVi
- _id: NiBa
doi: 10.1371/journal.pbio.2000234
file:
- access_level: open_access
checksum: 2bab63b068a9840efd532b9ae583f9bb
content_type: application/pdf
creator: system
date_created: 2018-12-12T10:15:42Z
date_updated: 2020-07-14T12:44:36Z
file_id: '5164'
file_name: IST-2017-742-v1+1_journal.pbio.2000234.pdf
file_size: 2494348
relation: main_file
file_date_updated: 2020-07-14T12:44:36Z
has_accepted_license: '1'
intvolume: ' 14'
issue: '12'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
publication: PLoS Biology
publication_status: published
publisher: Public Library of Science
publist_id: '6200'
pubrep_id: '742'
quality_controlled: '1'
related_material:
record:
- id: '9862'
relation: research_data
status: public
- id: '9863'
relation: research_data
status: public
scopus_import: 1
status: public
title: Shedding light on the grey zone of speciation along a continuum of genomic
divergence
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: 14
year: '2016'
...
---
_id: '9862'
article_processing_charge: No
author:
- first_name: Camille
full_name: Roux, Camille
last_name: Roux
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Jonathan
full_name: Romiguier, Jonathan
last_name: Romiguier
- first_name: Youann
full_name: Anciaux, Youann
last_name: Anciaux
- first_name: Nicolas
full_name: Galtier, Nicolas
last_name: Galtier
- first_name: Nicolas
full_name: Bierne, Nicolas
last_name: Bierne
citation:
ama: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. Simulation
study to test the robustness of ABC in face of recent times of divergence. 2016.
doi:10.1371/journal.pbio.2000234.s016
apa: Roux, C., Fraisse, C., Romiguier, J., Anciaux, Y., Galtier, N., & Bierne,
N. (2016). Simulation study to test the robustness of ABC in face of recent times
of divergence. Public Library of Science. https://doi.org/10.1371/journal.pbio.2000234.s016
chicago: Roux, Camille, Christelle Fraisse, Jonathan Romiguier, Youann Anciaux,
Nicolas Galtier, and Nicolas Bierne. “Simulation Study to Test the Robustness
of ABC in Face of Recent Times of Divergence.” Public Library of Science, 2016.
https://doi.org/10.1371/journal.pbio.2000234.s016.
ieee: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, and N. Bierne,
“Simulation study to test the robustness of ABC in face of recent times of divergence.”
Public Library of Science, 2016.
ista: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. 2016. Simulation
study to test the robustness of ABC in face of recent times of divergence, Public
Library of Science, 10.1371/journal.pbio.2000234.s016.
mla: Roux, Camille, et al. Simulation Study to Test the Robustness of ABC in
Face of Recent Times of Divergence. Public Library of Science, 2016, doi:10.1371/journal.pbio.2000234.s016.
short: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, N. Bierne, (2016).
date_created: 2021-08-10T08:20:17Z
date_updated: 2023-02-21T16:21:20Z
day: '27'
department:
- _id: BeVi
- _id: NiBa
doi: 10.1371/journal.pbio.2000234.s016
month: '12'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '1158'
relation: used_in_publication
status: public
status: public
title: Simulation study to test the robustness of ABC in face of recent times of divergence
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2016'
...
---
_id: '9863'
article_processing_charge: No
author:
- first_name: Camille
full_name: Roux, Camille
last_name: Roux
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Jonathan
full_name: Romiguier, Jonathan
last_name: Romiguier
- first_name: Youann
full_name: Anciaux, Youann
last_name: Anciaux
- first_name: Nicolas
full_name: Galtier, Nicolas
last_name: Galtier
- first_name: Nicolas
full_name: Bierne, Nicolas
last_name: Bierne
citation:
ama: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. Accessions
of surveyed individuals, geographic locations and summary statistics. 2016. doi:10.1371/journal.pbio.2000234.s017
apa: Roux, C., Fraisse, C., Romiguier, J., Anciaux, Y., Galtier, N., & Bierne,
N. (2016). Accessions of surveyed individuals, geographic locations and summary
statistics. Public Library of Science. https://doi.org/10.1371/journal.pbio.2000234.s017
chicago: Roux, Camille, Christelle Fraisse, Jonathan Romiguier, Youann Anciaux,
Nicolas Galtier, and Nicolas Bierne. “Accessions of Surveyed Individuals, Geographic
Locations and Summary Statistics.” Public Library of Science, 2016. https://doi.org/10.1371/journal.pbio.2000234.s017.
ieee: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, and N. Bierne,
“Accessions of surveyed individuals, geographic locations and summary statistics.”
Public Library of Science, 2016.
ista: Roux C, Fraisse C, Romiguier J, Anciaux Y, Galtier N, Bierne N. 2016. Accessions
of surveyed individuals, geographic locations and summary statistics, Public Library
of Science, 10.1371/journal.pbio.2000234.s017.
mla: Roux, Camille, et al. Accessions of Surveyed Individuals, Geographic Locations
and Summary Statistics. Public Library of Science, 2016, doi:10.1371/journal.pbio.2000234.s017.
short: C. Roux, C. Fraisse, J. Romiguier, Y. Anciaux, N. Galtier, N. Bierne, (2016).
date_created: 2021-08-10T08:22:52Z
date_updated: 2023-02-21T16:21:20Z
day: '27'
department:
- _id: BeVi
- _id: NiBa
doi: 10.1371/journal.pbio.2000234.s017
month: '12'
oa_version: Published Version
publisher: Public Library of Science
related_material:
record:
- id: '1158'
relation: used_in_publication
status: public
status: public
title: Accessions of surveyed individuals, geographic locations and summary statistics
type: research_data_reference
user_id: 6785fbc1-c503-11eb-8a32-93094b40e1cf
year: '2016'
...