---
_id: '10658'
abstract:
- lang: eng
text: We analyse how migration from a large mainland influences genetic load and
population numbers on an island, in a scenario where fitness-affecting variants
are unconditionally deleterious, and where numbers decline with increasing load.
Our analysis shows that migration can have qualitatively different effects, depending
on the total mutation target and fitness effects of deleterious variants. In particular,
we find that populations exhibit a genetic Allee effect across a wide range of
parameter combinations, when variants are partially recessive, cycling between
low-load (large-population) and high-load (sink) states. Increased migration reduces
load in the sink state (by increasing heterozygosity) but further inflates load
in the large-population state (by hindering purging). We identify various critical
parameter thresholds at which one or other stable state collapses, and discuss
how these thresholds are influenced by the genetic versus demographic effects
of migration. Our analysis is based on a ‘semi-deterministic’ analysis, which
accounts for genetic drift but neglects demographic stochasticity. We also compare
against simulations which account for both demographic stochasticity and drift.
Our results clarify the importance of gene flow as a key determinant of extinction
risk in peripheral populations, even in the absence of ecological gradients. This
article is part of the theme issue ‘Species’ ranges in the face of changing environments
(part I)’.
acknowledgement: This research was partly funded by the Austrian Science Fund (FWF)
(grant no. P-32896B).
article_number: '20210010'
article_processing_charge: No
article_type: original
author:
- first_name: Himani
full_name: Sachdeva, Himani
last_name: Sachdeva
- first_name: Oluwafunmilola O
full_name: Olusanya, Oluwafunmilola O
id: 41AD96DC-F248-11E8-B48F-1D18A9856A87
last_name: Olusanya
orcid: 0000-0003-1971-8314
- 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, Olusanya OO, Barton NH. Genetic load and extinction in peripheral
populations: The roles of migration, drift and demographic stochasticity. Philosophical
Transactions of the Royal Society B. 2022;377(1846). doi:10.1098/rstb.2021.0010'
apa: 'Sachdeva, H., Olusanya, O. O., & Barton, N. H. (2022). Genetic load and
extinction in peripheral populations: The roles of migration, drift and demographic
stochasticity. Philosophical Transactions of the Royal Society B. The Royal
Society. https://doi.org/10.1098/rstb.2021.0010'
chicago: 'Sachdeva, Himani, Oluwafunmilola O Olusanya, and Nicholas H Barton. “Genetic
Load and Extinction in Peripheral Populations: The Roles of Migration, Drift and
Demographic Stochasticity.” Philosophical Transactions of the Royal Society
B. The Royal Society, 2022. https://doi.org/10.1098/rstb.2021.0010.'
ieee: 'H. Sachdeva, O. O. Olusanya, and N. H. Barton, “Genetic load and extinction
in peripheral populations: The roles of migration, drift and demographic stochasticity,”
Philosophical Transactions of the Royal Society B, vol. 377, no. 1846.
The Royal Society, 2022.'
ista: 'Sachdeva H, Olusanya OO, Barton NH. 2022. Genetic load and extinction in
peripheral populations: The roles of migration, drift and demographic stochasticity.
Philosophical Transactions of the Royal Society B. 377(1846), 20210010.'
mla: 'Sachdeva, Himani, et al. “Genetic Load and Extinction in Peripheral Populations:
The Roles of Migration, Drift and Demographic Stochasticity.” Philosophical
Transactions of the Royal Society B, vol. 377, no. 1846, 20210010, The Royal
Society, 2022, doi:10.1098/rstb.2021.0010.'
short: H. Sachdeva, O.O. Olusanya, N.H. Barton, Philosophical Transactions of the
Royal Society B 377 (2022).
date_created: 2022-01-24T10:34:53Z
date_published: 2022-01-24T00:00:00Z
date_updated: 2024-01-26T12:00:53Z
day: '24'
ddc:
- '576'
department:
- _id: GradSch
- _id: NiBa
doi: 10.1098/rstb.2021.0010
external_id:
isi:
- '000745854300008'
pmid:
- '35067097'
file:
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checksum: 04ca9e2f0e344d680b947f2457df8d0a
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creator: oolusany
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issue: '1846'
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month: '01'
oa: 1
oa_version: Published Version
pmid: 1
project:
- _id: c08d3278-5a5b-11eb-8a69-fdb09b55f4b8
grant_number: P32896
name: Causes and consequences of population fragmentation
publication: Philosophical Transactions of the Royal Society B
publication_identifier:
eissn:
- 1471-2970
issn:
- 0962-8436
publication_status: published
publisher: The Royal Society
quality_controlled: '1'
related_material:
link:
- relation: earlier_version
url: https://doi.org/10.1101/2021.08.05.455207
record:
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relation: dissertation_contains
status: public
status: public
title: 'Genetic load and extinction in peripheral populations: The roles of migration,
drift and demographic stochasticity'
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: 377
year: '2022'
...
---
_id: '11411'
abstract:
- lang: eng
text: Many studies have quantified the distribution of heterozygosity and relatedness
in natural populations, but few have examined the demographic processes driving
these patterns. In this study, we take a novel approach by studying how population
structure affects both pairwise identity and the distribution of heterozygosity
in a natural population of the self-incompatible plant Antirrhinum majus. Excess
variance in heterozygosity between individuals is due to identity disequilibrium,
which reflects the variance in inbreeding between individuals; it is measured
by the statistic g2. We calculated g2 together with FST and pairwise relatedness
(Fij) using 91 SNPs in 22,353 individuals collected over 11 years. We find that
pairwise Fij declines rapidly over short spatial scales, and the excess variance
in heterozygosity between individuals reflects significant variation in inbreeding.
Additionally, we detect an excess of individuals with around half the average
heterozygosity, indicating either selfing or matings between close relatives.
We use 2 types of simulation to ask whether variation in heterozygosity is consistent
with fine-scale spatial population structure. First, by simulating offspring using
parents drawn from a range of spatial scales, we show that the known pollen dispersal
kernel explains g2. Second, we simulate a 1,000-generation pedigree using the
known dispersal and spatial distribution and find that the resulting g2 is consistent
with that observed from the field data. In contrast, a simulated population with
uniform density underestimates g2, indicating that heterogeneous density promotes
identity disequilibrium. Our study shows that heterogeneous density and leptokurtic
dispersal can together explain the distribution of heterozygosity.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "Part of this work was funded by Marie Curie COFUND Doctoral Fellowship
and Austrian Science Fund FWF (grant P32166).\r\nWe thank the many volunteers and
friends who have contributed to data collection in the field site over the years,
in particular those who have managed field seasons: Barbora Trubenova, Maria Clara
Melo, Tom Ellis, Eva Cereghetti, Lenka Matejovicova, Beatriz Pablo Carmona. Frederic
Ferrer and Eva Salmerón Mateu have been immensely helpful with logistics at our
informal field station, El Serrat de Planoles. We thank Sean Stankowski for technical
help in\r\nproducing figure 1. This research was also supported by the Scientific
Service Units (SSU) of IST Austria through resources provided by Scientific Computing
(SciComp)."
article_number: iyac083
article_processing_charge: No
article_type: original
author:
- first_name: Parvathy
full_name: Surendranadh, Parvathy
id: 455235B8-F248-11E8-B48F-1D18A9856A87
last_name: Surendranadh
- first_name: Louise S
full_name: Arathoon, Louise S
id: 2CFCFF98-F248-11E8-B48F-1D18A9856A87
last_name: Arathoon
orcid: 0000-0003-1771-714X
- first_name: Carina
full_name: Baskett, Carina
id: 3B4A7CE2-F248-11E8-B48F-1D18A9856A87
last_name: Baskett
orcid: 0000-0002-7354-8574
- first_name: David
full_name: Field, David
id: 419049E2-F248-11E8-B48F-1D18A9856A87
last_name: Field
orcid: 0000-0002-4014-8478
- first_name: Melinda
full_name: Pickup, Melinda
id: 2C78037E-F248-11E8-B48F-1D18A9856A87
last_name: Pickup
orcid: 0000-0001-6118-0541
- 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: Surendranadh P, Arathoon LS, Baskett C, Field D, Pickup M, Barton NH. Effects
of fine-scale population structure on the distribution of heterozygosity in a
long-term study of Antirrhinum majus. Genetics. 2022;221(3). doi:10.1093/genetics/iyac083
apa: Surendranadh, P., Arathoon, L. S., Baskett, C., Field, D., Pickup, M., &
Barton, N. H. (2022). Effects of fine-scale population structure on the distribution
of heterozygosity in a long-term study of Antirrhinum majus. Genetics.
Oxford University Press. https://doi.org/10.1093/genetics/iyac083
chicago: Surendranadh, Parvathy, Louise S Arathoon, Carina Baskett, David Field,
Melinda Pickup, and Nicholas H Barton. “Effects of Fine-Scale Population Structure
on the Distribution of Heterozygosity in a Long-Term Study of Antirrhinum Majus.”
Genetics. Oxford University Press, 2022. https://doi.org/10.1093/genetics/iyac083.
ieee: P. Surendranadh, L. S. Arathoon, C. Baskett, D. Field, M. Pickup, and N. H.
Barton, “Effects of fine-scale population structure on the distribution of heterozygosity
in a long-term study of Antirrhinum majus,” Genetics, vol. 221, no. 3.
Oxford University Press, 2022.
ista: Surendranadh P, Arathoon LS, Baskett C, Field D, Pickup M, Barton NH. 2022.
Effects of fine-scale population structure on the distribution of heterozygosity
in a long-term study of Antirrhinum majus. Genetics. 221(3), iyac083.
mla: Surendranadh, Parvathy, et al. “Effects of Fine-Scale Population Structure
on the Distribution of Heterozygosity in a Long-Term Study of Antirrhinum Majus.”
Genetics, vol. 221, no. 3, iyac083, Oxford University Press, 2022, doi:10.1093/genetics/iyac083.
short: P. Surendranadh, L.S. Arathoon, C. Baskett, D. Field, M. Pickup, N.H. Barton,
Genetics 221 (2022).
date_created: 2022-05-26T13:44:50Z
date_published: 2022-07-01T00:00:00Z
date_updated: 2024-02-21T12:38:33Z
day: '01'
ddc:
- '576'
department:
- _id: GradSch
- _id: NiBa
doi: 10.1093/genetics/iyac083
external_id:
isi:
- '000803735800001'
pmid:
- '35639938'
file:
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checksum: cc2d56deb608bd53c5cc02f03a875107
content_type: application/pdf
creator: larathoo
date_created: 2022-05-26T12:48:15Z
date_updated: 2022-05-26T12:48:15Z
file_id: '11412'
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creator: larathoo
date_created: 2022-05-26T12:48:21Z
date_updated: 2022-05-26T12:48:21Z
file_id: '11413'
file_name: SupplementalMaterial.pdf
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file_date_updated: 2022-05-26T12:48:21Z
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issue: '3'
language:
- iso: eng
month: '07'
oa: 1
oa_version: Submitted Version
pmid: 1
project:
- _id: 05959E1C-7A3F-11EA-A408-12923DDC885E
grant_number: P32166
name: The maintenance of alternative adaptive peaks in snapdragons
publication: Genetics
publication_identifier:
eissn:
- 1943-2631
publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
related_material:
record:
- id: '14651'
relation: dissertation_contains
status: public
- id: '11321'
relation: research_data
status: public
- id: '9192'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Effects of fine-scale population structure on the distribution of heterozygosity
in a long-term study of Antirrhinum majus
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 221
year: '2022'
...
---
_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: 2024-03-06T14:22:51Z
day: '29'
ddc:
- '570'
department:
- _id: NiBa
- _id: GaTk
doi: 10.1073/pnas.2123152119
ec_funded: 1
external_id:
isi:
- '000889278400014'
pmid:
- '36037343'
file:
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content_type: application/pdf
creator: dernst
date_created: 2022-09-12T08:08:12Z
date_updated: 2022-09-12T08:08:12Z
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file_name: 2022_PNAS_Hledik.pdf
file_size: 2165752
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file_date_updated: 2022-09-12T08:08:12Z
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- 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:
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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: '11388'
abstract:
- lang: eng
text: "In evolve and resequence experiments, a population is sequenced, subjected
to selection and\r\nthen sequenced again, so that genetic changes before and after
selection can be observed at\r\nthe genetic level. Here, I use these studies to
better understand the genetic basis of complex\r\ntraits - traits which depend
on more than a few genes.\r\nIn the first chapter, I discuss the first evolve
and resequence experiment, in which a population\r\nof mice, the so-called \"Longshanks\"
mice, were selected for tibia length while their body mass\r\nwas kept constant.
The full pedigree is known. We observed a selection response on all\r\nchromosomes
and used the infinitesimal model with linkage, a model which assumes an infinite\r\nnumber
of genes with infinitesimally small effect sizes, as a null model. Results implied
a very\r\npolygenic basis with a few loci of major effect standing out and changing
in parallel. There\r\nwas large variability between the different chromosomes
in this study, probably due to LD.\r\nIn chapter two, I go on to discuss the impact
of LD, on the variability in an allele-frequency\r\nbased summary statistic, giving
an equation based on the initial allele frequencies, average\r\npairwise LD, and
the first four moments of the haplotype block copy number distribution. I\r\ndescribe
this distribution by referring back to the founder generation. I then demonstrate\r\nhow
to infer selection via a maximum likelihood scheme on the example of a single
locus and\r\ndiscuss how to extend this to more realistic scenarios.\r\nIn chapter
three, I discuss the second evolve and resequence experiment, in which a small\r\npopulation
of Drosophila melanogaster was selected for increased pupal case size over 6\r\ngenerations.
The experiment was highly replicated with 27 lines selected within family and
a\r\nknown pedigree. We observed a phenotypic selection response of over one standard
deviation.\r\nI describe the patterns in allele frequency data, including allele
frequency changes and patterns\r\nof heterozygosity, and give ideas for future
work."
alternative_title:
- ISTA Thesis
article_processing_charge: No
author:
- first_name: Stefanie
full_name: Belohlavy, Stefanie
id: 43FE426A-F248-11E8-B48F-1D18A9856A87
last_name: Belohlavy
orcid: 0000-0002-9849-498X
citation:
ama: Belohlavy S. The genetic basis of complex traits studied via analysis of evolve
and resequence experiments. 2022. doi:10.15479/at:ista:11388
apa: Belohlavy, S. (2022). The genetic basis of complex traits studied via analysis
of evolve and resequence experiments. Institute of Science and Technology
Austria. https://doi.org/10.15479/at:ista:11388
chicago: Belohlavy, Stefanie. “The Genetic Basis of Complex Traits Studied via Analysis
of Evolve and Resequence Experiments.” Institute of Science and Technology Austria,
2022. https://doi.org/10.15479/at:ista:11388.
ieee: S. Belohlavy, “The genetic basis of complex traits studied via analysis of
evolve and resequence experiments,” Institute of Science and Technology Austria,
2022.
ista: Belohlavy S. 2022. The genetic basis of complex traits studied via analysis
of evolve and resequence experiments. Institute of Science and Technology Austria.
mla: Belohlavy, Stefanie. The Genetic Basis of Complex Traits Studied via Analysis
of Evolve and Resequence Experiments. Institute of Science and Technology
Austria, 2022, doi:10.15479/at:ista:11388.
short: S. Belohlavy, The Genetic Basis of Complex Traits Studied via Analysis of
Evolve and Resequence Experiments, Institute of Science and Technology Austria,
2022.
date_created: 2022-05-16T16:49:18Z
date_published: 2022-05-18T00:00:00Z
date_updated: 2023-08-29T06:41:51Z
day: '18'
ddc:
- '576'
degree_awarded: PhD
department:
- _id: GradSch
- _id: NiBa
doi: 10.15479/at:ista:11388
file:
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month: '05'
oa: 1
oa_version: Published Version
page: '98'
publication_identifier:
isbn:
- 978-3-99078-018-3
publication_status: published
publisher: Institute of Science and Technology Austria
related_material:
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relation: part_of_dissertation
status: public
status: public
supervisor:
- first_name: Nicholas H
full_name: Barton, Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
title: The genetic basis of complex traits studied via analysis of evolve and resequence
experiments
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: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2022'
...
---
_id: '10535'
abstract:
- lang: eng
text: Realistic models of biological processes typically involve interacting components
on multiple scales, driven by changing environment and inherent stochasticity.
Such models are often analytically and numerically intractable. We revisit a dynamic
maximum entropy method that combines a static maximum entropy with a quasi-stationary
approximation. This allows us to reduce stochastic non-equilibrium dynamics expressed
by the Fokker-Planck equation to a simpler low-dimensional deterministic dynamics,
without the need to track microscopic details. Although the method has been previously
applied to a few (rather complicated) applications in population genetics, our
main goal here is to explain and to better understand how the method works. We
demonstrate the usefulness of the method for two widely studied stochastic problems,
highlighting its accuracy in capturing important macroscopic quantities even in
rapidly changing non-stationary conditions. For the Ornstein-Uhlenbeck process,
the method recovers the exact dynamics whilst for a stochastic island model with
migration from other habitats, the approximation retains high macroscopic accuracy
under a wide range of scenarios in a dynamic environment.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "Computational resources for the study were provided by the Institute
of Science and Technology, Austria.\r\nKB received funding from the Scientific Grant
Agency of the Slovak Republic under the Grants Nos. 1/0755/19 and 1/0521/20."
article_number: e1009661
article_processing_charge: No
article_type: original
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: Eniko
full_name: Szep, Eniko
id: 485BB5A4-F248-11E8-B48F-1D18A9856A87
last_name: Szep
- 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, Szep E, Barton NH. Dynamic maximum entropy provides accurate approximation
of structured population dynamics. PLoS Computational Biology. 2021;17(12).
doi:10.1371/journal.pcbi.1009661
apa: Bodova, K., Szep, E., & Barton, N. H. (2021). Dynamic maximum entropy provides
accurate approximation of structured population dynamics. PLoS Computational
Biology. Public Library of Science. https://doi.org/10.1371/journal.pcbi.1009661
chicago: Bodova, Katarina, Eniko Szep, and Nicholas H Barton. “Dynamic Maximum Entropy
Provides Accurate Approximation of Structured Population Dynamics.” PLoS Computational
Biology. Public Library of Science, 2021. https://doi.org/10.1371/journal.pcbi.1009661.
ieee: K. Bodova, E. Szep, and N. H. Barton, “Dynamic maximum entropy provides accurate
approximation of structured population dynamics,” PLoS Computational Biology,
vol. 17, no. 12. Public Library of Science, 2021.
ista: Bodova K, Szep E, Barton NH. 2021. Dynamic maximum entropy provides accurate
approximation of structured population dynamics. PLoS Computational Biology. 17(12),
e1009661.
mla: Bodova, Katarina, et al. “Dynamic Maximum Entropy Provides Accurate Approximation
of Structured Population Dynamics.” PLoS Computational Biology, vol. 17,
no. 12, e1009661, Public Library of Science, 2021, doi:10.1371/journal.pcbi.1009661.
short: K. Bodova, E. Szep, N.H. Barton, PLoS Computational Biology 17 (2021).
date_created: 2021-12-12T23:01:27Z
date_published: 2021-12-01T00:00:00Z
date_updated: 2022-08-01T10:48:04Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
- _id: GaTk
doi: 10.1371/journal.pcbi.1009661
external_id:
arxiv:
- '2102.03669'
pmid:
- '34851948'
file:
- access_level: open_access
checksum: dcd185d4f7e0acee25edf1d6537f447e
content_type: application/pdf
creator: dernst
date_created: 2022-05-16T08:53:11Z
date_updated: 2022-05-16T08:53:11Z
file_id: '11383'
file_name: 2021_PLOsComBio_Bodova.pdf
file_size: 2299486
relation: main_file
success: 1
file_date_updated: 2022-05-16T08:53:11Z
has_accepted_license: '1'
intvolume: ' 17'
issue: '12'
language:
- iso: eng
month: '12'
oa: 1
oa_version: Published Version
pmid: 1
publication: PLoS Computational Biology
publication_identifier:
eissn:
- 1553-7358
issn:
- 1553-734X
publication_status: published
publisher: Public Library of Science
quality_controlled: '1'
scopus_import: '1'
status: public
title: Dynamic maximum entropy provides accurate approximation of structured population
dynamics
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: 17
year: '2021'
...
---
_id: '8708'
abstract:
- lang: eng
text: The Mytilus complex of marine mussel species forms a mosaic of hybrid zones,
found across temperate regions of the globe. This allows us to study ‘replicated’
instances of secondary contact between closely related species. Previous work
on this complex has shown that local introgression is both widespread and highly
heterogeneous, and has identified SNPs that are outliers of differentiation between
lineages. Here, we developed an ancestry‐informative panel of such SNPs. We then
compared their frequencies in newly sampled populations, including samples from
within the hybrid zones, and parental populations at different distances from
the contact. Results show that close to the hybrid zones, some outlier loci are
near to fixation for the heterospecific allele, suggesting enhanced local introgression,
or the local sweep of a shared ancestral allele. Conversely, genomic cline analyses,
treating local parental populations as the reference, reveal a globally high concordance
among loci, albeit with a few signals of asymmetric introgression. Enhanced local
introgression at specific loci is consistent with the early transfer of adaptive
variants after contact, possibly including asymmetric bi‐stable variants (Dobzhansky‐Muller
incompatibilities), or haplotypes loaded with fewer deleterious mutations. Having
escaped one barrier, however, these variants can be trapped or delayed at the
next barrier, confining the introgression locally. These results shed light on
the decay of species barriers during phases of contact.
acknowledgement: Data used in this work were partly produced through the genotyping
and sequencing facilities of ISEM and LabEx CeMEB, an ANR ‘Investissements d'avenir’
program (ANR‐10‐LABX‐04‐01) This project benefited from the Montpellier Bioinformatics
Biodiversity platform supported by the LabEx CeMEB. We thank Norah Saarman, Grant
Pogson, Célia Gosset and Pierre‐Alexandre Gagnaire for providing samples. This work
was funded by a Languedoc‐Roussillon ‘Chercheur(se)s d'Avenir’ grant (Connect7 project).
P. Strelkov was supported by the Russian Science Foundation project 19‐74‐20024.
This is article 2020‐240 of Institut des Sciences de l'Evolution de Montpellier.
article_processing_charge: No
article_type: original
author:
- first_name: Alexis
full_name: Simon, Alexis
last_name: Simon
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Tahani
full_name: El Ayari, Tahani
last_name: El Ayari
- first_name: Cathy
full_name: Liautard‐Haag, Cathy
last_name: Liautard‐Haag
- first_name: Petr
full_name: Strelkov, Petr
last_name: Strelkov
- first_name: John J
full_name: Welch, John J
last_name: Welch
- first_name: Nicolas
full_name: Bierne, Nicolas
last_name: Bierne
citation:
ama: Simon A, Fraisse C, El Ayari T, et al. How do species barriers decay? Concordance
and local introgression in mosaic hybrid zones of mussels. Journal of Evolutionary
Biology. 2021;34(1):208-223. doi:10.1111/jeb.13709
apa: Simon, A., Fraisse, C., El Ayari, T., Liautard‐Haag, C., Strelkov, P., Welch,
J. J., & Bierne, N. (2021). How do species barriers decay? Concordance and
local introgression in mosaic hybrid zones of mussels. Journal of Evolutionary
Biology. Wiley. https://doi.org/10.1111/jeb.13709
chicago: Simon, Alexis, Christelle Fraisse, Tahani El Ayari, Cathy Liautard‐Haag,
Petr Strelkov, John J Welch, and Nicolas Bierne. “How Do Species Barriers Decay?
Concordance and Local Introgression in Mosaic Hybrid Zones of Mussels.” Journal
of Evolutionary Biology. Wiley, 2021. https://doi.org/10.1111/jeb.13709.
ieee: A. Simon et al., “How do species barriers decay? Concordance and local
introgression in mosaic hybrid zones of mussels,” Journal of Evolutionary Biology,
vol. 34, no. 1. Wiley, pp. 208–223, 2021.
ista: Simon A, Fraisse C, El Ayari T, Liautard‐Haag C, Strelkov P, Welch JJ, Bierne
N. 2021. How do species barriers decay? Concordance and local introgression in
mosaic hybrid zones of mussels. Journal of Evolutionary Biology. 34(1), 208–223.
mla: Simon, Alexis, et al. “How Do Species Barriers Decay? Concordance and Local
Introgression in Mosaic Hybrid Zones of Mussels.” Journal of Evolutionary Biology,
vol. 34, no. 1, Wiley, 2021, pp. 208–23, doi:10.1111/jeb.13709.
short: A. Simon, C. Fraisse, T. El Ayari, C. Liautard‐Haag, P. Strelkov, J.J. Welch,
N. Bierne, Journal of Evolutionary Biology 34 (2021) 208–223.
date_created: 2020-10-25T23:01:20Z
date_published: 2021-01-01T00:00:00Z
date_updated: 2023-08-04T11:04:11Z
day: '01'
department:
- _id: BeVi
- _id: NiBa
doi: 10.1111/jeb.13709
external_id:
isi:
- '000579599700001'
pmid:
- '33045123'
intvolume: ' 34'
isi: 1
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1101/818559
month: '01'
oa: 1
oa_version: Preprint
page: 208-223
pmid: 1
publication: Journal of Evolutionary Biology
publication_identifier:
eissn:
- '14209101'
issn:
- 1010061X
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
record:
- id: '13073'
relation: research_data
status: public
scopus_import: '1'
status: public
title: How do species barriers decay? Concordance and local introgression in mosaic
hybrid zones of mussels
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 34
year: '2021'
...
---
_id: '8743'
abstract:
- lang: eng
text: 'Montane cloud forests are areas of high endemism, and are one of the more
vulnerable terrestrial ecosystems to climate change. Thus, understanding how they
both contribute to the generation of biodiversity, and will respond to ongoing
climate change, are important and related challenges. The widely accepted model
for montane cloud forest dynamics involves upslope forcing of their range limits
with global climate warming. However, limited climate data provides some support
for an alternative model, where range limits are forced downslope with climate
warming. Testing between these two models is challenging, due to the inherent
limitations of climate and pollen records. We overcome this with an alternative
source of historical information, testing between competing model predictions
using genomic data and demographic analyses for a species of beetle tightly associated
to an oceanic island cloud forest. Results unequivocally support the alternative
model: populations that were isolated at higher elevation peaks during the Last
Glacial Maximum are now in contact and hybridizing at lower elevations. Our results
suggest that genomic data are a rich source of information to further understand
how montane cloud forest biodiversity originates, and how it is likely to be impacted
by ongoing climate change.'
acknowledgement: 'This work was financed by the Spanish Agencia Estatal de Investigación
(CGL2017‐85718‐P), awarded to BCE, and co‐financed by FEDER. It was also supported
by the Spanish Ministerio de Ciencia, Innovación y Universidades (EQC2018‐004418‐P),
awarded to BCE. AS‐C was funded by the Spanish Ministerio de Ciencia, Innovación
y Universidades through an FPU PhD fellowship (FPU014/02948). The authors thank
Instituto Tecnológico y de Energías Renovables (ITER), S.A for providing access
to the Teide High‐Performance Computing facility (Teide‐HPC). Fieldwork was supported
by collecting permit AFF 107/17 (sigma number 2017‐00572) kindly provided by the
Cabildo of Tenerife. The authors wish to thank the following for field work and
sample sorting and identification: A. J. Pérez‐Delgado, H. López, and C. Andújar.
We also thank V. García‐Olivares for assistance with laboratory and bioinformatic
work.'
article_processing_charge: No
article_type: original
author:
- first_name: Antonia
full_name: Salces-Castellano, Antonia
last_name: Salces-Castellano
- first_name: Sean
full_name: Stankowski, Sean
id: 43161670-5719-11EA-8025-FABC3DDC885E
last_name: Stankowski
- first_name: Paula
full_name: Arribas, Paula
last_name: Arribas
- first_name: Jairo
full_name: Patino, Jairo
last_name: Patino
- first_name: 'Dirk N. '
full_name: 'Karger, Dirk N. '
last_name: Karger
- first_name: Roger
full_name: Butlin, Roger
last_name: Butlin
- first_name: Brent C.
full_name: Emerson, Brent C.
last_name: Emerson
citation:
ama: Salces-Castellano A, Stankowski S, Arribas P, et al. Long-term cloud forest
response to climate warming revealed by insect speciation history. Evolution.
2021;75(2):231-244. doi:10.1111/evo.14111
apa: Salces-Castellano, A., Stankowski, S., Arribas, P., Patino, J., Karger, D.
N., Butlin, R., & Emerson, B. C. (2021). Long-term cloud forest response to
climate warming revealed by insect speciation history. Evolution. Wiley.
https://doi.org/10.1111/evo.14111
chicago: Salces-Castellano, Antonia, Sean Stankowski, Paula Arribas, Jairo Patino,
Dirk N. Karger, Roger Butlin, and Brent C. Emerson. “Long-Term Cloud Forest Response
to Climate Warming Revealed by Insect Speciation History.” Evolution. Wiley,
2021. https://doi.org/10.1111/evo.14111.
ieee: A. Salces-Castellano et al., “Long-term cloud forest response to climate
warming revealed by insect speciation history,” Evolution, vol. 75, no.
2. Wiley, pp. 231–244, 2021.
ista: Salces-Castellano A, Stankowski S, Arribas P, Patino J, Karger DN, Butlin
R, Emerson BC. 2021. Long-term cloud forest response to climate warming revealed
by insect speciation history. Evolution. 75(2), 231–244.
mla: Salces-Castellano, Antonia, et al. “Long-Term Cloud Forest Response to Climate
Warming Revealed by Insect Speciation History.” Evolution, vol. 75, no.
2, Wiley, 2021, pp. 231–44, doi:10.1111/evo.14111.
short: A. Salces-Castellano, S. Stankowski, P. Arribas, J. Patino, D.N. Karger,
R. Butlin, B.C. Emerson, Evolution 75 (2021) 231–244.
date_created: 2020-11-08T23:01:26Z
date_published: 2021-02-01T00:00:00Z
date_updated: 2023-08-04T11:09:49Z
day: '01'
department:
- _id: NiBa
doi: 10.1111/evo.14111
external_id:
isi:
- '000583190600001'
pmid:
- '33078844'
intvolume: ' 75'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://hdl.handle.net/10261/223937
month: '02'
oa: 1
oa_version: Submitted Version
page: 231-244
pmid: 1
publication: Evolution
publication_identifier:
eissn:
- 1558-5646
issn:
- 0014-3820
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
link:
- relation: erratum
url: https://doi.org/10.1111/evo.14225
scopus_import: '1'
status: public
title: Long-term cloud forest response to climate warming revealed by insect speciation
history
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 75
year: '2021'
...
---
_id: '8928'
abstract:
- lang: eng
text: Domestication is a human‐induced selection process that imprints the genomes
of domesticated populations over a short evolutionary time scale and that occurs
in a given demographic context. Reconstructing historical gene flow, effective
population size changes and their timing is therefore of fundamental interest
to understand how plant demography and human selection jointly shape genomic divergence
during domestication. Yet, the comparison under a single statistical framework
of independent domestication histories across different crop species has been
little evaluated so far. Thus, it is unclear whether domestication leads to convergent
demographic changes that similarly affect crop genomes. To address this question,
we used existing and new transcriptome data on three crop species of Solanaceae
(eggplant, pepper and tomato), together with their close wild relatives. We fitted
twelve demographic models of increasing complexity on the unfolded joint allele
frequency spectrum for each wild/crop pair, and we found evidence for both shared
and species‐specific demographic processes between species. A convergent history
of domestication with gene flow was inferred for all three species, along with
evidence of strong reduction in the effective population size during the cultivation
stage of tomato and pepper. The absence of any reduction in size of the crop in
eggplant stands out from the classical view of the domestication process; as does
the existence of a “protracted period” of management before cultivation. Our results
also suggest divergent management strategies of modern cultivars among species
as their current demography substantially differs. Finally, the timing of domestication
is species‐specific and supported by the few historical records available.
acknowledgement: This work was supported by the EU Marie Curie Career Integration
grant (FP7‐PEOPLE‐2011‐CIG grant agreement PCIG10‐GA‐2011‐304164) attributed to
CS. SA was supported by a PhD fellowship from the French Région PACA and the Plant
Breeding division of INRA, in partnership with Gautier Semences. CF was supported
by an Austrian Science Foundation FWF grant (Project M 2463‐B29). Authors thank
Mathilde Causse and Beatriz Vicoso for their team leading. Thanks to the Italian
Eggplant Genome Consortium, which includes the DISAFA, Plant Genetics and Breeding
(University of Torino), the Biotechnology Department (University of Verona), the
CREA‐ORL in Montanaso Lombardo (LO) and the ENEA in Rome for providing access to
the eggplant genome reference. Thanks to CRB‐lég ( https://www6.paca.inra.fr/gafl_eng/Vegetables-GRC
) for managing and providing the genetic resources, to Marie‐Christine Daunay and
Alain Palloix (INRA UR1052) for assistance in choosing the biological material used,
to Muriel Latreille and Sylvain Santoni from the UMR AGAP (INRA Montpellier, France)
for their help with RNAseq library preparation, to Jean‐Paul Bouchet and Jacques
Lagnel (INRA UR1052) for their Bioinformatics assistance.
article_processing_charge: No
article_type: original
author:
- first_name: Stéphanie
full_name: Arnoux, Stéphanie
last_name: Arnoux
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Christopher
full_name: Sauvage, Christopher
last_name: Sauvage
citation:
ama: Arnoux S, Fraisse C, Sauvage C. Genomic inference of complex domestication
histories in three Solanaceae species. Journal of Evolutionary Biology.
2021;34(2):270-283. doi:10.1111/jeb.13723
apa: Arnoux, S., Fraisse, C., & Sauvage, C. (2021). Genomic inference of complex
domestication histories in three Solanaceae species. Journal of Evolutionary
Biology. Wiley. https://doi.org/10.1111/jeb.13723
chicago: Arnoux, Stéphanie, Christelle Fraisse, and Christopher Sauvage. “Genomic
Inference of Complex Domestication Histories in Three Solanaceae Species.” Journal
of Evolutionary Biology. Wiley, 2021. https://doi.org/10.1111/jeb.13723.
ieee: S. Arnoux, C. Fraisse, and C. Sauvage, “Genomic inference of complex domestication
histories in three Solanaceae species,” Journal of Evolutionary Biology,
vol. 34, no. 2. Wiley, pp. 270–283, 2021.
ista: Arnoux S, Fraisse C, Sauvage C. 2021. Genomic inference of complex domestication
histories in three Solanaceae species. Journal of Evolutionary Biology. 34(2),
270–283.
mla: Arnoux, Stéphanie, et al. “Genomic Inference of Complex Domestication Histories
in Three Solanaceae Species.” Journal of Evolutionary Biology, vol. 34,
no. 2, Wiley, 2021, pp. 270–83, doi:10.1111/jeb.13723.
short: S. Arnoux, C. Fraisse, C. Sauvage, Journal of Evolutionary Biology 34 (2021)
270–283.
date_created: 2020-12-06T23:01:16Z
date_published: 2021-02-01T00:00:00Z
date_updated: 2023-08-04T11:19:26Z
day: '01'
department:
- _id: NiBa
doi: 10.1111/jeb.13723
external_id:
isi:
- '000587769700001'
pmid:
- '33107098'
intvolume: ' 34'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1111/jeb.13723
month: '02'
oa: 1
oa_version: Published Version
page: 270-283
pmid: 1
project:
- _id: 2662AADE-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: M02463
name: Sex chromosomes and species barriers
publication: Journal of Evolutionary Biology
publication_identifier:
eissn:
- '14209101'
issn:
- 1010061X
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
record:
- id: '13065'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Genomic inference of complex domestication histories in three Solanaceae species
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 34
year: '2021'
...
---
_id: '9100'
abstract:
- lang: eng
text: 'Marine environments are inhabited by a broad representation of the tree of
life, yet our understanding of speciation in marine ecosystems is extremely limited
compared with terrestrial and freshwater environments. Developing a more comprehensive
picture of speciation in marine environments requires that we ''dive under the
surface'' by studying a wider range of taxa and ecosystems is necessary for a
more comprehensive picture of speciation. Although studying marine evolutionary
processes is often challenging, recent technological advances in different fields,
from maritime engineering to genomics, are making it increasingly possible to
study speciation of marine life forms across diverse ecosystems and taxa. Motivated
by recent research in the field, including the 14 contributions in this issue,
we highlight and discuss six axes of research that we think will deepen our understanding
of speciation in the marine realm: (a) study a broader range of marine environments
and organisms; (b) identify the reproductive barriers driving speciation between
marine taxa; (c) understand the role of different genomic architectures underlying
reproductive isolation; (d) infer the evolutionary history of divergence using
model‐based approaches; (e) study patterns of hybridization and introgression
between marine taxa; and (f) implement highly interdisciplinary, collaborative
research programmes. In outlining these goals, we hope to inspire researchers
to continue filling this critical knowledge gap surrounding the origins of marine
biodiversity.'
acknowledgement: "We would like to thank all the participants in the speciation symposium
of the Marine Evolution Conference in Sweden for the interesting discussions and
to all the contributors to this special\r\nissue. We thank Nicolas Bierne and Wolf
Blanckenhorn (reviewer and editor, respectively) for valuable suggestions during
the revision of the manuscript, and Roger K. Butlin and Anja M. Westram for very
helpful comments on a previous draft. We would also like to thank Wolf Blanckenhorn
and Nicola Cook, the Editor in Chief and the Managing Editor of the Journal of Evolutionary
Biology, respectively, for the encouragement and support in putting together this
special issue, and to all reviewers involved. RF was financed by the European Union's
Horizon 2020 Research and Innovation Programme under the Marie Sklodowska-Curie
Grant Agreement Number 706376 and is currently financed by the FEDER Funds through
the Operational Competitiveness Factors Program COMPETE and by National Funds through
the Foundation for Science and Technology (FCT) within the scope of the project
‘Hybrabbid' (PTDC/BIA-EVL/30628/2017-POCI-01-0145-FEDER-030628). KJ was funded by
the Swedish\r\nResearch Council, VR. SS was supported by NERC and ERC funding awarded
to Roger K. Butlin."
article_processing_charge: No
article_type: original
author:
- first_name: Rui
full_name: Faria, Rui
last_name: Faria
- first_name: Kerstin
full_name: Johannesson, Kerstin
last_name: Johannesson
- first_name: Sean
full_name: Stankowski, Sean
id: 43161670-5719-11EA-8025-FABC3DDC885E
last_name: Stankowski
citation:
ama: 'Faria R, Johannesson K, Stankowski S. Speciation in marine environments: Diving
under the surface. Journal of Evolutionary Biology. 2021;34(1):4-15. doi:10.1111/jeb.13756'
apa: 'Faria, R., Johannesson, K., & Stankowski, S. (2021). Speciation in marine
environments: Diving under the surface. Journal of Evolutionary Biology.
Wiley. https://doi.org/10.1111/jeb.13756'
chicago: 'Faria, Rui, Kerstin Johannesson, and Sean Stankowski. “Speciation in Marine
Environments: Diving under the Surface.” Journal of Evolutionary Biology.
Wiley, 2021. https://doi.org/10.1111/jeb.13756.'
ieee: 'R. Faria, K. Johannesson, and S. Stankowski, “Speciation in marine environments:
Diving under the surface,” Journal of Evolutionary Biology, vol. 34, no.
1. Wiley, pp. 4–15, 2021.'
ista: 'Faria R, Johannesson K, Stankowski S. 2021. Speciation in marine environments:
Diving under the surface. Journal of Evolutionary Biology. 34(1), 4–15.'
mla: 'Faria, Rui, et al. “Speciation in Marine Environments: Diving under the Surface.”
Journal of Evolutionary Biology, vol. 34, no. 1, Wiley, 2021, pp. 4–15,
doi:10.1111/jeb.13756.'
short: R. Faria, K. Johannesson, S. Stankowski, Journal of Evolutionary Biology
34 (2021) 4–15.
date_created: 2021-02-07T23:01:13Z
date_published: 2021-01-18T00:00:00Z
date_updated: 2023-08-07T13:42:08Z
day: '18'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1111/jeb.13756
external_id:
isi:
- '000608367500001'
file:
- access_level: open_access
checksum: 5755856a5368d4b4cdd6fad5ab27f4d1
content_type: application/pdf
creator: dernst
date_created: 2021-02-09T09:04:02Z
date_updated: 2021-02-09T09:04:02Z
file_id: '9108'
file_name: 2021_JourEvolBiology_Faria.pdf
file_size: 561340
relation: main_file
success: 1
file_date_updated: 2021-02-09T09:04:02Z
has_accepted_license: '1'
intvolume: ' 34'
isi: 1
issue: '1'
language:
- iso: eng
month: '01'
oa: 1
oa_version: Published Version
page: 4-15
publication: Journal of Evolutionary Biology
publication_identifier:
eissn:
- '14209101'
issn:
- 1010061X
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Speciation in marine environments: Diving under the surface'
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: 34
year: '2021'
...
---
_id: '9168'
abstract:
- lang: eng
text: Interspecific crossing experiments have shown that sex chromosomes play a
major role in reproductive isolation between many pairs of species. However, their
ability to act as reproductive barriers, which hamper interspecific genetic exchange,
has rarely been evaluated quantitatively compared to Autosomes. This genome-wide
limitation of gene flow is essential for understanding the complete separation
of species, and thus speciation. Here, we develop a mainland-island model of secondary
contact between hybridizing species of an XY (or ZW) sexual system. We obtain
theoretical predictions for the frequency of introgressed alleles, and the strength
of the barrier to neutral gene flow for the two types of chromosomes carrying
multiple interspecific barrier loci. Theoretical predictions are obtained for
scenarios where introgressed alleles are rare. We show that the same analytical
expressions apply for sex chromosomes and autosomes, but with different sex-averaged
effective parameters. The specific features of sex chromosomes (hemizygosity and
absence of recombination in the heterogametic sex) lead to reduced levels of introgression
on the X (or Z) compared to autosomes. This effect can be enhanced by certain
types of sex-biased forces, but it remains overall small (except when alleles
causing incompatibilities are recessive). We discuss these predictions in the
light of empirical data comprising model-based tests of introgression and cline
surveys in various biological systems.
acknowledged_ssus:
- _id: ScienComp
acknowledgement: "The computations were performed with the IST Austria High-Performance
Computing (HPC) Cluster and the Institut Français de Bioinformatique (IFB) Core
Cluster. We are grateful to Nick Barton and Beatriz Vicoso for critical comments
on the model and the manuscript. We also thank Brian Charlesworth, Stuart Baird,
and an anonymous reviewer for insightful comments.\r\nC.F. was supported by an Austrian
Science Foundation FWF grant (Project M 2463-B29)."
article_number: iyaa025
article_processing_charge: No
article_type: original
author:
- first_name: Christelle
full_name: Fraisse, Christelle
id: 32DF5794-F248-11E8-B48F-1D18A9856A87
last_name: Fraisse
orcid: 0000-0001-8441-5075
- first_name: Himani
full_name: Sachdeva, Himani
id: 42377A0A-F248-11E8-B48F-1D18A9856A87
last_name: Sachdeva
citation:
ama: 'Fraisse C, Sachdeva H. The rates of introgression and barriers to genetic
exchange between hybridizing species: Sex chromosomes vs autosomes. Genetics.
2021;217(2). doi:10.1093/genetics/iyaa025'
apa: 'Fraisse, C., & Sachdeva, H. (2021). The rates of introgression and barriers
to genetic exchange between hybridizing species: Sex chromosomes vs autosomes.
Genetics. Genetics Society of America. https://doi.org/10.1093/genetics/iyaa025'
chicago: 'Fraisse, Christelle, and Himani Sachdeva. “The Rates of Introgression
and Barriers to Genetic Exchange between Hybridizing Species: Sex Chromosomes
vs Autosomes.” Genetics. Genetics Society of America, 2021. https://doi.org/10.1093/genetics/iyaa025.'
ieee: 'C. Fraisse and H. Sachdeva, “The rates of introgression and barriers to genetic
exchange between hybridizing species: Sex chromosomes vs autosomes,” Genetics,
vol. 217, no. 2. Genetics Society of America, 2021.'
ista: 'Fraisse C, Sachdeva H. 2021. The rates of introgression and barriers to genetic
exchange between hybridizing species: Sex chromosomes vs autosomes. Genetics.
217(2), iyaa025.'
mla: 'Fraisse, Christelle, and Himani Sachdeva. “The Rates of Introgression and
Barriers to Genetic Exchange between Hybridizing Species: Sex Chromosomes vs Autosomes.”
Genetics, vol. 217, no. 2, iyaa025, Genetics Society of America, 2021,
doi:10.1093/genetics/iyaa025.'
short: C. Fraisse, H. Sachdeva, Genetics 217 (2021).
date_created: 2021-02-18T14:41:30Z
date_published: 2021-02-01T00:00:00Z
date_updated: 2023-08-07T13:47:01Z
day: '01'
department:
- _id: NiBa
doi: 10.1093/genetics/iyaa025
external_id:
isi:
- '000637218100005'
intvolume: ' 217'
isi: 1
issue: '2'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1093/genetics/iyaa025
month: '02'
oa: 1
oa_version: Published Version
project:
- _id: 2662AADE-B435-11E9-9278-68D0E5697425
call_identifier: FWF
grant_number: M02463
name: Sex chromosomes and species barriers
publication: Genetics
publication_identifier:
issn:
- 1943-2631
publication_status: published
publisher: Genetics Society of America
quality_controlled: '1'
status: public
title: 'The rates of introgression and barriers to genetic exchange between hybridizing
species: Sex chromosomes vs autosomes'
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 217
year: '2021'
...