---
_id: '12265'
acknowledgement: We are very grateful to the authors of the commentaries for the interesting
discussion and to Luke Holman for handling this set of manuscripts. Part of this
work was funded by the Austrian Science Fund FWF (grant P 32166).
article_processing_charge: Yes (via OA deal)
article_type: letter_note
author:
- first_name: Anja M
full_name: Westram, Anja M
id: 3C147470-F248-11E8-B48F-1D18A9856A87
last_name: Westram
orcid: 0000-0003-1050-4969
- first_name: Sean
full_name: Stankowski, Sean
id: 43161670-5719-11EA-8025-FABC3DDC885E
last_name: Stankowski
- first_name: Parvathy
full_name: Surendranadh, Parvathy
id: 455235B8-F248-11E8-B48F-1D18A9856A87
last_name: Surendranadh
- 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: 'Westram AM, Stankowski S, Surendranadh P, Barton NH. Reproductive isolation,
speciation, and the value of disagreement: A reply to the commentaries on ‘What
is reproductive isolation?’ Journal of Evolutionary Biology. 2022;35(9):1200-1205.
doi:10.1111/jeb.14082'
apa: 'Westram, A. M., Stankowski, S., Surendranadh, P., & Barton, N. H. (2022).
Reproductive isolation, speciation, and the value of disagreement: A reply to
the commentaries on ‘What is reproductive isolation?’ Journal of Evolutionary
Biology. Wiley. https://doi.org/10.1111/jeb.14082'
chicago: 'Westram, Anja M, Sean Stankowski, Parvathy Surendranadh, and Nicholas
H Barton. “Reproductive Isolation, Speciation, and the Value of Disagreement:
A Reply to the Commentaries on ‘What Is Reproductive Isolation?’” Journal of
Evolutionary Biology. Wiley, 2022. https://doi.org/10.1111/jeb.14082.'
ieee: 'A. M. Westram, S. Stankowski, P. Surendranadh, and N. H. Barton, “Reproductive
isolation, speciation, and the value of disagreement: A reply to the commentaries
on ‘What is reproductive isolation?,’” Journal of Evolutionary Biology,
vol. 35, no. 9. Wiley, pp. 1200–1205, 2022.'
ista: 'Westram AM, Stankowski S, Surendranadh P, Barton NH. 2022. Reproductive isolation,
speciation, and the value of disagreement: A reply to the commentaries on ‘What
is reproductive isolation?’ Journal of Evolutionary Biology. 35(9), 1200–1205.'
mla: 'Westram, Anja M., et al. “Reproductive Isolation, Speciation, and the Value
of Disagreement: A Reply to the Commentaries on ‘What Is Reproductive Isolation?’”
Journal of Evolutionary Biology, vol. 35, no. 9, Wiley, 2022, pp. 1200–05,
doi:10.1111/jeb.14082.'
short: A.M. Westram, S. Stankowski, P. Surendranadh, N.H. Barton, Journal of Evolutionary
Biology 35 (2022) 1200–1205.
date_created: 2023-01-16T09:59:37Z
date_published: 2022-09-01T00:00:00Z
date_updated: 2023-08-04T09:53:41Z
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doi: 10.1111/jeb.14082
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- Evolution
- Behavior and Systematics
language:
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page: 1200-1205
project:
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grant_number: P32166
name: The maintenance of alternative adaptive peaks in snapdragons
publication: Journal of Evolutionary Biology
publication_identifier:
eissn:
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publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
record:
- id: '12264'
relation: other
status: public
scopus_import: '1'
status: public
title: 'Reproductive isolation, speciation, and the value of disagreement: A reply
to the commentaries on ‘What is reproductive isolation?’'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
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type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 35
year: '2022'
...
---
_id: '10787'
abstract:
- lang: eng
text: "A species distributed across diverse environments may adapt to local conditions.
We ask how quickly such a species changes its range in response to changed conditions.
Szép et al. (Szép E, Sachdeva H, Barton NH. 2021 Polygenic local adaptation in
metapopulations: a stochastic eco-evolutionary model. Evolution75, 1030–1045 (doi:10.1111/evo.14210))
used the infinite island model to find the stationary distribution of allele frequencies
and deme sizes. We extend this to find how a metapopulation responds to changes
in carrying capacity, selection strength, or migration rate when deme sizes are
fixed. We further develop a ‘fixed-state’ approximation. Under this approximation,
polymorphism is only possible for a narrow range of habitat proportions when selection
is weak compared to drift, but for a much wider range otherwise. When rates of
selection or migration relative to drift change in a single deme of the metapopulation,
the population takes a time of order m−1 to reach the new equilibrium. However,
even with many loci, there can be substantial fluctuations in net adaptation,
because at each locus, alleles randomly get lost or fixed. Thus, in a finite metapopulation,
variation may gradually be lost by chance, even if it would persist in an infinite
metapopulation. When conditions change across the whole metapopulation, there
can be rapid change, which is predicted well by the fixed-state approximation.
This work helps towards an understanding of how metapopulations extend their range
across diverse environments.\r\nThis article is part of the theme issue ‘Species’
ranges in the face of changing environments (Part II)’."
acknowledgement: This research was partly funded by the Austrian Science Fund (FWF)
[FWF P-32896B].
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: Oluwafunmilola O
full_name: Olusanya, Oluwafunmilola O
id: 41AD96DC-F248-11E8-B48F-1D18A9856A87
last_name: Olusanya
orcid: 0000-0003-1971-8314
citation:
ama: 'Barton NH, Olusanya OO. The response of a metapopulation to a changing environment.
Philosophical Transactions of the Royal Society B: Biological Sciences.
2022;377(1848). doi:10.1098/rstb.2021.0009'
apa: 'Barton, N. H., & Olusanya, O. O. (2022). The response of a metapopulation
to a changing environment. Philosophical Transactions of the Royal Society
B: Biological Sciences. The Royal Society. https://doi.org/10.1098/rstb.2021.0009'
chicago: 'Barton, Nicholas H, and Oluwafunmilola O Olusanya. “The Response of a
Metapopulation to a Changing Environment.” Philosophical Transactions of the
Royal Society B: Biological Sciences. The Royal Society, 2022. https://doi.org/10.1098/rstb.2021.0009.'
ieee: 'N. H. Barton and O. O. Olusanya, “The response of a metapopulation to a changing
environment,” Philosophical Transactions of the Royal Society B: Biological
Sciences, vol. 377, no. 1848. The Royal Society, 2022.'
ista: 'Barton NH, Olusanya OO. 2022. The response of a metapopulation to a changing
environment. Philosophical Transactions of the Royal Society B: Biological Sciences.
377(1848).'
mla: 'Barton, Nicholas H., and Oluwafunmilola O. Olusanya. “The Response of a Metapopulation
to a Changing Environment.” Philosophical Transactions of the Royal Society
B: Biological Sciences, vol. 377, no. 1848, The Royal Society, 2022, doi:10.1098/rstb.2021.0009.'
short: 'N.H. Barton, O.O. Olusanya, Philosophical Transactions of the Royal Society
B: Biological Sciences 377 (2022).'
date_created: 2022-02-21T16:08:10Z
date_published: 2022-04-11T00:00:00Z
date_updated: 2024-01-26T12:00:53Z
day: '11'
ddc:
- '570'
department:
- _id: GradSch
- _id: NiBa
doi: 10.1098/rstb.2021.0009
external_id:
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keyword:
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- General Biochemistry
- Genetics and Molecular Biology
language:
- iso: eng
month: '04'
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grant_number: P32896
name: Causes and consequences of population fragmentation
publication: 'Philosophical Transactions of the Royal Society B: Biological Sciences'
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title: The response of a metapopulation to a changing environment
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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)
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type: journal_article
user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1
volume: 377
year: '2022'
...
---
_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'
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grant_number: P32896
name: Causes and consequences of population fragmentation
publication: Philosophical Transactions of the Royal Society B
publication_identifier:
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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)
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type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
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...
---
_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
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- '576'
department:
- _id: GradSch
- _id: NiBa
doi: 10.1093/genetics/iyac083
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year: '2022'
...
---
_id: '11321'
abstract:
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text: 'Here are the research data underlying the publication "Effects of fine-scale
population structure on the distribution of heterozygosity in a long-term study
of Antirrhinum majus" Further information are summed up in the README document. '
article_processing_charge: No
author:
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full_name: Surendranadh, Parvathy
id: 455235B8-F248-11E8-B48F-1D18A9856A87
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- first_name: Louise S
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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. 2022. doi:10.15479/at:ista:11321
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. Institute of Science
and Technology Austria. https://doi.org/10.15479/at:ista:11321
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.”
Institute of Science and Technology Austria, 2022. https://doi.org/10.15479/at:ista:11321.
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.” Institute of Science and Technology
Austria, 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, Institute of Science and Technology
Austria, 10.15479/at:ista:11321.
mla: Surendranadh, Parvathy, et al. Effects of Fine-Scale Population Structure
on the Distribution of Heterozygosity in a Long-Term Study of Antirrhinum Majus.
Institute of Science and Technology Austria, 2022, doi:10.15479/at:ista:11321.
short: P. Surendranadh, L.S. Arathoon, C. Baskett, D. Field, M. Pickup, N.H. Barton,
(2022).
contributor:
- contributor_type: project_member
first_name: Louise S
id: 2CFCFF98-F248-11E8-B48F-1D18A9856A87
last_name: Arathoon
- contributor_type: project_member
first_name: Carina
id: 3B4A7CE2-F248-11E8-B48F-1D18A9856A87
last_name: Baskett
orcid: 0000-0002-7354-8574
- contributor_type: project_member
first_name: David
id: 419049E2-F248-11E8-B48F-1D18A9856A87
last_name: Field
orcid: 0000-0002-4014-8478
- contributor_type: project_member
first_name: Melinda
id: 2C78037E-F248-11E8-B48F-1D18A9856A87
last_name: Pickup
orcid: 0000-0001-6118-0541
- contributor_type: project_member
first_name: Nicholas H
id: 4880FE40-F248-11E8-B48F-1D18A9856A87
last_name: Barton
orcid: 0000-0002-8548-5240
date_created: 2022-04-22T09:42:24Z
date_published: 2022-04-28T00:00:00Z
date_updated: 2024-02-21T12:41:09Z
day: '28'
ddc:
- '570'
department:
- _id: GradSch
- _id: NiBa
doi: 10.15479/at:ista:11321
file:
- access_level: open_access
checksum: 96c1b86cdf25481f2a52972fcc45ca7f
content_type: application/x-zip-compressed
creator: larathoo
date_created: 2022-04-22T09:39:03Z
date_updated: 2022-04-22T09:39:03Z
file_id: '11326'
file_name: Data_Code.zip
file_size: 13260571
relation: main_file
success: 1
file_date_updated: 2022-04-22T09:39:03Z
has_accepted_license: '1'
month: '04'
oa: 1
oa_version: Published Version
publisher: Institute of Science and Technology Austria
related_material:
record:
- id: '11411'
relation: used_in_publication
status: public
- id: '9192'
relation: earlier_version
status: public
- id: '8254'
relation: earlier_version
status: public
status: public
title: Effects of fine-scale population structure on the distribution of heterozygosity
in a long-term study of Antirrhinum majus
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: research_data
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
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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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: '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:
- access_level: open_access
checksum: 4d75e6a619df7e8a9d6e840aee182380
content_type: application/pdf
creator: sbelohla
date_created: 2022-05-19T13:03:13Z
date_updated: 2023-05-20T22:30:03Z
embargo: 2023-05-19
file_id: '11398'
file_name: thesis_sb_final_pdfa.pdf
file_size: 8247240
relation: main_file
- access_level: closed
checksum: 7a5d8b6dd0ca00784f860075b0a7d8f0
content_type: application/x-zip-compressed
creator: sbelohla
date_created: 2022-05-19T13:07:47Z
date_updated: 2023-05-20T22:30:03Z
embargo_to: open_access
file_id: '11399'
file_name: thesis_sb_final.zip
file_size: 7094
relation: source_file
file_date_updated: 2023-05-20T22:30:03Z
has_accepted_license: '1'
language:
- iso: eng
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:
record:
- id: '6713'
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'
...
---
_id: '9119'
abstract:
- lang: eng
text: 'We present DILS, a deployable statistical analysis platform for conducting
demographic inferences with linked selection from population genomic data using
an Approximate Bayesian Computation framework. DILS takes as input single‐population
or two‐population data sets (multilocus fasta sequences) and performs three types
of analyses in a hierarchical manner, identifying: (a) the best demographic model
to study the importance of gene flow and population size change on the genetic
patterns of polymorphism and divergence, (b) the best genomic model to determine
whether the effective size Ne and migration rate N, m are heterogeneously distributed
along the genome (implying linked selection) and (c) loci in genomic regions most
associated with barriers to gene flow. Also available via a Web interface, an
objective of DILS is to facilitate collaborative research in speciation genomics.
Here, we show the performance and limitations of DILS by using simulations and
finally apply the method to published data on a divergence continuum composed
by 28 pairs of Mytilus mussel populations/species.'
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: Iva
full_name: Popovic, Iva
last_name: Popovic
- first_name: Clément
full_name: Mazoyer, Clément
last_name: Mazoyer
- first_name: Bruno
full_name: Spataro, Bruno
last_name: Spataro
- first_name: Stéphane
full_name: Delmotte, Stéphane
last_name: Delmotte
- first_name: Jonathan
full_name: Romiguier, Jonathan
last_name: Romiguier
- first_name: Étienne
full_name: Loire, Étienne
last_name: Loire
- first_name: Alexis
full_name: Simon, Alexis
last_name: Simon
- first_name: Nicolas
full_name: Galtier, Nicolas
last_name: Galtier
- first_name: Laurent
full_name: Duret, Laurent
last_name: Duret
- first_name: Nicolas
full_name: Bierne, Nicolas
last_name: Bierne
- first_name: Xavier
full_name: Vekemans, Xavier
last_name: Vekemans
- first_name: Camille
full_name: Roux, Camille
last_name: Roux
citation:
ama: 'Fraisse C, Popovic I, Mazoyer C, et al. DILS: Demographic inferences with
linked selection by using ABC. Molecular Ecology Resources. 2021;21:2629-2644.
doi:10.1111/1755-0998.13323'
apa: 'Fraisse, C., Popovic, I., Mazoyer, C., Spataro, B., Delmotte, S., Romiguier,
J., … Roux, C. (2021). DILS: Demographic inferences with linked selection by using
ABC. Molecular Ecology Resources. Wiley. https://doi.org/10.1111/1755-0998.13323'
chicago: 'Fraisse, Christelle, Iva Popovic, Clément Mazoyer, Bruno Spataro, Stéphane
Delmotte, Jonathan Romiguier, Étienne Loire, et al. “DILS: Demographic Inferences
with Linked Selection by Using ABC.” Molecular Ecology Resources. Wiley,
2021. https://doi.org/10.1111/1755-0998.13323.'
ieee: 'C. Fraisse et al., “DILS: Demographic inferences with linked selection
by using ABC,” Molecular Ecology Resources, vol. 21. Wiley, pp. 2629–2644,
2021.'
ista: 'Fraisse C, Popovic I, Mazoyer C, Spataro B, Delmotte S, Romiguier J, Loire
É, Simon A, Galtier N, Duret L, Bierne N, Vekemans X, Roux C. 2021. DILS: Demographic
inferences with linked selection by using ABC. Molecular Ecology Resources. 21,
2629–2644.'
mla: 'Fraisse, Christelle, et al. “DILS: Demographic Inferences with Linked Selection
by Using ABC.” Molecular Ecology Resources, vol. 21, Wiley, 2021, pp. 2629–44,
doi:10.1111/1755-0998.13323.'
short: C. Fraisse, I. Popovic, C. Mazoyer, B. Spataro, S. Delmotte, J. Romiguier,
É. Loire, A. Simon, N. Galtier, L. Duret, N. Bierne, X. Vekemans, C. Roux, Molecular
Ecology Resources 21 (2021) 2629–2644.
date_created: 2021-02-14T23:01:14Z
date_published: 2021-01-15T00:00:00Z
date_updated: 2023-08-07T13:45:18Z
day: '15'
department:
- _id: NiBa
doi: 10.1111/1755-0998.13323
external_id:
isi:
- '000614183100001'
intvolume: ' 21'
isi: 1
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.biorxiv.org/content/10.1101/2020.06.15.151597v2
month: '01'
oa: 1
oa_version: Preprint
page: 2629-2644
publication: Molecular Ecology Resources
publication_identifier:
eissn:
- '17550998'
issn:
- 1755098X
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'DILS: Demographic inferences with linked selection by using ABC'
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 21
year: '2021'
...
---
_id: '9375'
abstract:
- lang: eng
text: Genetic variation segregates as linked sets of variants, or haplotypes. Haplotypes
and linkage are central to genetics and underpin virtually all genetic and selection
analysis. And yet, genomic data often lack haplotype information, due to constraints
in sequencing technologies. Here we present “haplotagging”, a simple, low-cost
linked-read sequencing technique that allows sequencing of hundreds of individuals
while retaining linkage information. We apply haplotagging to construct megabase-size
haplotypes for over 600 individual butterflies (Heliconius erato and H. melpomene),
which form overlapping hybrid zones across an elevational gradient in Ecuador.
Haplotagging identifies loci controlling distinctive high- and lowland wing color
patterns. Divergent haplotypes are found at the same major loci in both species,
while chromosome rearrangements show no parallelism. Remarkably, in both species
the geographic clines for the major wing pattern loci are displaced by 18 km,
leading to the rise of a novel hybrid morph in the centre of the hybrid zone.
We propose that shared warning signalling (Müllerian mimicry) may couple the cline
shifts seen in both species, and facilitate the parallel co-emergence of a novel
hybrid morph in both co-mimetic species. Our results show the power of efficient
haplotyping methods when combined with large-scale sequencing data from natural
populations.
acknowledgement: 'We thank Felicity Jones for input into experimental design, helpful
discussion and improving the manuscript. We thank the Rolian, Jiggins, Chan and
Jones Labs members for support, insightful scientific discussion and improving the
manuscript. We thank the Rolian lab members, the Animal Resource Centre staff at
the University of Calgary, and Caroline Schmid and Ann-Katrin Geysel at the Friedrich
Miescher Laboratory for animal husbandry. We thank Christa Lanz, Rebecca Schwab
and Ilja Bezrukov for assistance with high-throughput sequencing and associated
data processing; Andre Noll and the MPI Tübingen IT team for computational support.
We thank Ben Haller and Richard Durbin for helpful discussions. We thank David M.
Kingsley for thoughtful input that has greatly improved our manuscript. J.I.M. is
supported by a Research Fellowship from St. John’s College, Cambridge. A.D. was
supported by a European Research Council Consolidator Grant (No. 617279 “EvolRecombAdapt”,
P/I Felicity Jones). C.R. is supported by Discovery Grant #4181932 from the Natural
Sciences and Engineering Research Council of Canada and by the Faculty of Veterinary
Medicine at the University of Calgary. C.D.J. is supported by a BBSRC grant BB/R007500
and a European Research Council Advanced Grant (No. 339873 “SpeciationGenetics”).
M.K. and Y.F.C. are supported by the Max Planck Society and a European Research
Council Starting Grant (No. 639096 “HybridMiX”).'
article_number: e2015005118
article_processing_charge: No
article_type: original
author:
- first_name: Joana I.
full_name: Meier, Joana I.
last_name: Meier
- first_name: Patricio A.
full_name: Salazar, Patricio A.
last_name: Salazar
- first_name: Marek
full_name: Kučka, Marek
last_name: Kučka
- first_name: Robert William
full_name: Davies, Robert William
last_name: Davies
- first_name: Andreea
full_name: Dréau, Andreea
last_name: Dréau
- first_name: Ismael
full_name: Aldás, Ismael
last_name: Aldás
- first_name: Olivia Box
full_name: Power, Olivia Box
last_name: Power
- first_name: Nicola J.
full_name: Nadeau, Nicola J.
last_name: Nadeau
- first_name: Jon R.
full_name: Bridle, Jon R.
last_name: Bridle
- first_name: Campbell
full_name: Rolian, Campbell
last_name: Rolian
- 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: W. Owen
full_name: McMillan, W. Owen
last_name: McMillan
- first_name: Chris D.
full_name: Jiggins, Chris D.
last_name: Jiggins
- first_name: Yingguang Frank
full_name: Chan, Yingguang Frank
last_name: Chan
citation:
ama: Meier JI, Salazar PA, Kučka M, et al. Haplotype tagging reveals parallel formation
of hybrid races in two butterfly species. PNAS. 2021;118(25). doi:10.1073/pnas.2015005118
apa: Meier, J. I., Salazar, P. A., Kučka, M., Davies, R. W., Dréau, A., Aldás, I.,
… Chan, Y. F. (2021). Haplotype tagging reveals parallel formation of hybrid races
in two butterfly species. PNAS. Proceedings of the National Academy of
Sciences. https://doi.org/10.1073/pnas.2015005118
chicago: Meier, Joana I., Patricio A. Salazar, Marek Kučka, Robert William Davies,
Andreea Dréau, Ismael Aldás, Olivia Box Power, et al. “Haplotype Tagging Reveals
Parallel Formation of Hybrid Races in Two Butterfly Species.” PNAS. Proceedings
of the National Academy of Sciences, 2021. https://doi.org/10.1073/pnas.2015005118.
ieee: J. I. Meier et al., “Haplotype tagging reveals parallel formation of
hybrid races in two butterfly species,” PNAS, vol. 118, no. 25. Proceedings
of the National Academy of Sciences, 2021.
ista: Meier JI, Salazar PA, Kučka M, Davies RW, Dréau A, Aldás I, Power OB, Nadeau
NJ, Bridle JR, Rolian C, Barton NH, McMillan WO, Jiggins CD, Chan YF. 2021. Haplotype
tagging reveals parallel formation of hybrid races in two butterfly species. PNAS.
118(25), e2015005118.
mla: Meier, Joana I., et al. “Haplotype Tagging Reveals Parallel Formation of Hybrid
Races in Two Butterfly Species.” PNAS, vol. 118, no. 25, e2015005118, Proceedings
of the National Academy of Sciences, 2021, doi:10.1073/pnas.2015005118.
short: J.I. Meier, P.A. Salazar, M. Kučka, R.W. Davies, A. Dréau, I. Aldás, O.B.
Power, N.J. Nadeau, J.R. Bridle, C. Rolian, N.H. Barton, W.O. McMillan, C.D. Jiggins,
Y.F. Chan, PNAS 118 (2021).
date_created: 2021-05-07T17:10:21Z
date_published: 2021-06-21T00:00:00Z
date_updated: 2023-08-08T13:33:09Z
day: '21'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1073/pnas.2015005118
external_id:
isi:
- '000671755600001'
pmid:
- '34155138'
file:
- access_level: open_access
checksum: cb30c6166b2132ee60d616b31a1a7c29
content_type: application/pdf
creator: dernst
date_created: 2022-03-08T08:18:16Z
date_updated: 2022-03-08T08:18:16Z
file_id: '10835'
file_name: 2021_PNAS_Meier.pdf
file_size: 20592929
relation: main_file
success: 1
file_date_updated: 2022-03-08T08:18:16Z
has_accepted_license: '1'
intvolume: ' 118'
isi: 1
issue: '25'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
month: '06'
oa: 1
oa_version: Published Version
pmid: 1
publication: PNAS
publication_identifier:
eissn:
- 0027-8424
publication_status: published
publisher: Proceedings of the National Academy of Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: Haplotype tagging reveals parallel formation of hybrid races in two butterfly
species
tmp:
image: /images/cc_by_nc_nd.png
legal_code_url: https://creativecommons.org/licenses/by-nc-nd/4.0/legalcode
name: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
(CC BY-NC-ND 4.0)
short: CC BY-NC-ND (4.0)
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 118
year: '2021'
...
---
_id: '9394'
abstract:
- lang: eng
text: 'Chromosomal inversions have long been recognized for their role in local
adaptation. By suppressing recombination in heterozygous individuals, they can
maintain coadapted gene complexes and protect them from homogenizing effects of
gene flow. However, to fully understand their importance for local adaptation
we need to know their influence on phenotypes under divergent selection. For this,
the marine snail Littorina saxatilis provides an ideal study system. Divergent
ecotypes adapted to wave action and crab predation occur in close proximity on
intertidal shores with gene flow between them. Here, we used F2 individuals obtained
from crosses between the ecotypes to test for associations between genomic regions
and traits distinguishing the Crab‐/Wave‐adapted ecotypes including size, shape,
shell thickness, and behavior. We show that most of these traits are influenced
by two previously detected inversion regions that are divergent between ecotypes.
We thus gain a better understanding of one important underlying mechanism responsible
for the rapid and repeated formation of ecotypes: divergent selection acting on
inversions. We also found that some inversions contributed to more than one trait
suggesting that they may contain several loci involved in adaptation, consistent
with the hypothesis that suppression of recombination within inversions facilitates
differentiation in the presence of gene flow.'
acknowledgement: 'We are very grateful to Irena Senčić for technical assistance and
to Michelle Kortyna and Sean Holland at the Center for Anchored Phylogenomics for
assistance with data collection. RKB was funded by the Natural Environment Research
Council and by the European Research Council. KJ was funded by the Swedish Research
Councils VR and Formas (Linnaeus Grant: 217‐2008‐1719). JL was funded by a studentship
from the Leverhulme Centre for Advanced Biological Modelling. AMW was funded by
the European Union''s Horizon 2020 research and innovation program under Marie Skłodowska‐Curie
Grant agreement no. 797747. RF was funded by the European Union''s Horizon 2020
research and innovation programme under the Marie Sklodowska‐Curie Grant agreement
No. 706376 and by FEDER Funds through the Operational Competitiveness Factors Program—COMPETE
and by National Funds through FCT—Foundation for Science and Technology within the
scope of the project “Hybrabbid” (PTDC/BIA‐EVL/30628/2017‐ POCI‐01‐0145‐FEDER‐030628).
We are grateful to other members of the Littorina research group for helpful discussions.
We thank Claire Mérot and an anonymous referee for insightful comments on an earlier
version. '
article_processing_charge: No
article_type: original
author:
- first_name: Eva L.
full_name: Koch, Eva L.
last_name: Koch
- first_name: Hernán E.
full_name: Morales, Hernán E.
last_name: Morales
- first_name: Jenny
full_name: Larsson, Jenny
last_name: Larsson
- first_name: Anja M
full_name: Westram, Anja M
id: 3C147470-F248-11E8-B48F-1D18A9856A87
last_name: Westram
orcid: 0000-0003-1050-4969
- first_name: Rui
full_name: Faria, Rui
last_name: Faria
- first_name: Alan R.
full_name: Lemmon, Alan R.
last_name: Lemmon
- first_name: E. Moriarty
full_name: Lemmon, E. Moriarty
last_name: Lemmon
- first_name: Kerstin
full_name: Johannesson, Kerstin
last_name: Johannesson
- first_name: Roger K.
full_name: Butlin, Roger K.
last_name: Butlin
citation:
ama: Koch EL, Morales HE, Larsson J, et al. Genetic variation for adaptive traits
is associated with polymorphic inversions in Littorina saxatilis. Evolution
Letters. 2021;5(3):196-213. doi:10.1002/evl3.227
apa: Koch, E. L., Morales, H. E., Larsson, J., Westram, A. M., Faria, R., Lemmon,
A. R., … Butlin, R. K. (2021). Genetic variation for adaptive traits is associated
with polymorphic inversions in Littorina saxatilis. Evolution Letters.
Wiley. https://doi.org/10.1002/evl3.227
chicago: Koch, Eva L., Hernán E. Morales, Jenny Larsson, Anja M Westram, Rui Faria,
Alan R. Lemmon, E. Moriarty Lemmon, Kerstin Johannesson, and Roger K. Butlin.
“Genetic Variation for Adaptive Traits Is Associated with Polymorphic Inversions
in Littorina Saxatilis.” Evolution Letters. Wiley, 2021. https://doi.org/10.1002/evl3.227.
ieee: E. L. Koch et al., “Genetic variation for adaptive traits is associated
with polymorphic inversions in Littorina saxatilis,” Evolution Letters,
vol. 5, no. 3. Wiley, pp. 196–213, 2021.
ista: Koch EL, Morales HE, Larsson J, Westram AM, Faria R, Lemmon AR, Lemmon EM,
Johannesson K, Butlin RK. 2021. Genetic variation for adaptive traits is associated
with polymorphic inversions in Littorina saxatilis. Evolution Letters. 5(3), 196–213.
mla: Koch, Eva L., et al. “Genetic Variation for Adaptive Traits Is Associated with
Polymorphic Inversions in Littorina Saxatilis.” Evolution Letters, vol.
5, no. 3, Wiley, 2021, pp. 196–213, doi:10.1002/evl3.227.
short: E.L. Koch, H.E. Morales, J. Larsson, A.M. Westram, R. Faria, A.R. Lemmon,
E.M. Lemmon, K. Johannesson, R.K. Butlin, Evolution Letters 5 (2021) 196–213.
date_created: 2021-05-16T22:01:47Z
date_published: 2021-05-07T00:00:00Z
date_updated: 2023-08-08T13:34:08Z
day: '07'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1002/evl3.227
ec_funded: 1
external_id:
isi:
- '000647846200001'
file:
- access_level: open_access
checksum: 023b1608e311f0fda30593ba3d0a4e0b
content_type: application/pdf
creator: cchlebak
date_created: 2021-10-15T08:26:02Z
date_updated: 2021-10-15T08:26:02Z
file_id: '10142'
file_name: 2021_EvolutionLetters_Koch.pdf
file_size: 3021108
relation: main_file
success: 1
file_date_updated: 2021-10-15T08:26:02Z
has_accepted_license: '1'
intvolume: ' 5'
isi: 1
issue: '3'
language:
- iso: eng
month: '05'
oa: 1
oa_version: Published Version
page: 196-213
project:
- _id: 265B41B8-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '797747'
name: Theoretical and empirical approaches to understanding Parallel Adaptation
publication: Evolution Letters
publication_identifier:
eissn:
- 2056-3744
publication_status: published
publisher: Wiley
quality_controlled: '1'
related_material:
record:
- id: '12987'
relation: research_data
status: public
scopus_import: '1'
status: public
title: Genetic variation for adaptive traits is associated with polymorphic inversions
in Littorina saxatilis
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: 5
year: '2021'
...
---
_id: '9392'
abstract:
- lang: eng
text: 'Humans conceptualize the diversity of life by classifying individuals into
types we call ‘species’1. The species we recognize influence political and financial
decisions and guide our understanding of how units of diversity evolve and interact.
Although the idea of species may seem intuitive, a debate about the best way to
define them has raged even before Darwin2. So much energy has been devoted to
the so-called ‘species problem’ that no amount of discourse will ever likely solve
it2,3. Dozens of species concepts are currently recognized3, but we lack a concrete
understanding of how much researchers actually disagree and the factors that cause
them to think differently1,2. To address this, we used a survey to quantify the
species problem for the first time. The results indicate that the disagreement
is extensive: two randomly chosen respondents will most likely disagree on the
nature of species. The probability of disagreement is not predicted by researcher
experience or broad study system, but tended to be lower among researchers with
similar focus, training and who study the same organism. Should we see this diversity
of perspectives as a problem? We argue that we should not.'
acknowledgement: We thank Christopher Cooney, Martin Garlovsky, Anja M. Westram, Carina
Baskett, Stefanie Belohlavy, Michal Hledik, Arka Pal, Nicholas H. Barton, Roger
K. Butlin and members of the University of Sheffield Speciation Journal Club for
feedback on draft survey questions and/or comments on a draft manuscript. Three
anonymous reviewers gave thoughtful feedback that improved the manuscript. We thank
Ahmad Nadeem, who was paid to build the Shiny app. We are especially grateful to
everyone who took part in the survey. Ethical approval for the survey was obtained
through the University of Sheffield Ethics Review Procedure (Application 029768).
S.S. was supported by a NERC grant awarded to Roger K. Butlin.
article_processing_charge: No
article_type: original
author:
- first_name: Sean
full_name: Stankowski, Sean
id: 43161670-5719-11EA-8025-FABC3DDC885E
last_name: Stankowski
- first_name: Mark
full_name: Ravinet, Mark
last_name: Ravinet
citation:
ama: Stankowski S, Ravinet M. Quantifying the use of species concepts. Current
Biology. 2021;31(9):R428-R429. doi:10.1016/j.cub.2021.03.060
apa: Stankowski, S., & Ravinet, M. (2021). Quantifying the use of species concepts.
Current Biology. Cell Press. https://doi.org/10.1016/j.cub.2021.03.060
chicago: Stankowski, Sean, and Mark Ravinet. “Quantifying the Use of Species Concepts.”
Current Biology. Cell Press, 2021. https://doi.org/10.1016/j.cub.2021.03.060.
ieee: S. Stankowski and M. Ravinet, “Quantifying the use of species concepts,” Current
Biology, vol. 31, no. 9. Cell Press, pp. R428–R429, 2021.
ista: Stankowski S, Ravinet M. 2021. Quantifying the use of species concepts. Current
Biology. 31(9), R428–R429.
mla: Stankowski, Sean, and Mark Ravinet. “Quantifying the Use of Species Concepts.”
Current Biology, vol. 31, no. 9, Cell Press, 2021, pp. R428–29, doi:10.1016/j.cub.2021.03.060.
short: S. Stankowski, M. Ravinet, Current Biology 31 (2021) R428–R429.
date_created: 2021-05-16T22:01:46Z
date_published: 2021-05-10T00:00:00Z
date_updated: 2023-08-08T13:34:38Z
day: '10'
department:
- _id: NiBa
doi: 10.1016/j.cub.2021.03.060
external_id:
isi:
- '000654741200004'
pmid:
- '33974865'
intvolume: ' 31'
isi: 1
issue: '9'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1016/j.cub.2021.03.060
month: '05'
oa: 1
oa_version: Published Version
page: R428-R429
pmid: 1
publication: Current Biology
publication_identifier:
eissn:
- '18790445'
issn:
- '09609822'
publication_status: published
publisher: Cell Press
quality_controlled: '1'
scopus_import: '1'
status: public
title: Quantifying the use of species concepts
type: journal_article
user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 31
year: '2021'
...
---
_id: '12987'
abstract:
- lang: eng
text: Chromosomal inversion polymorphisms, segments of chromosomes that are flipped
in orientation and occur in reversed order in some individuals, have long been
recognized to play an important role in local adaptation. They can reduce recombination
in heterozygous individuals and thus help to maintain sets of locally adapted
alleles. In a wide range of organisms, populations adapted to different habitats
differ in frequency of inversion arrangements. However, getting a full understanding
of the importance of inversions for adaptation requires confirmation of their
influence on traits under divergent selection. Here, we studied a marine snail,
Littorina saxatilis, that has evolved ecotypes adapted to wave exposure or crab
predation. These two types occur in close proximity on different parts of the
shore. Gene flow between them exists in contact zones. However, they exhibit strong
phenotypic divergence in several traits under habitat-specific selection, including
size, shape and behaviour. We used crosses between these ecotypes to identify
genomic regions that explain variation in these traits by using QTL analysis and
variance partitioning across linkage groups. We could show that previously detected
inversion regions contribute to adaptive divergence. Some inversions influenced
multiple traits suggesting that they contain sets of locally adaptive alleles.
Our study also identified regions without known inversions that are important
for phenotypic divergence. Thus, we provide a more complete overview of the importance
of inversions in relation to the remaining genome.
article_processing_charge: No
author:
- first_name: Eva
full_name: Koch, Eva
last_name: Koch
- first_name: Hernán E.
full_name: Morales, Hernán E.
last_name: Morales
- first_name: Jenny
full_name: Larsson, Jenny
last_name: Larsson
- first_name: Anja M
full_name: Westram, Anja M
id: 3C147470-F248-11E8-B48F-1D18A9856A87
last_name: Westram
orcid: 0000-0003-1050-4969
- first_name: Rui
full_name: Faria, Rui
last_name: Faria
- first_name: Alan R.
full_name: Lemmon, Alan R.
last_name: Lemmon
- first_name: E. Moriarty
full_name: Lemmon, E. Moriarty
last_name: Lemmon
- first_name: Kerstin
full_name: Johannesson, Kerstin
last_name: Johannesson
- first_name: Roger K.
full_name: Butlin, Roger K.
last_name: Butlin
citation:
ama: 'Koch E, Morales HE, Larsson J, et al. Data from: Genetic variation for adaptive
traits is associated with polymorphic inversions in Littorina saxatilis. 2021.
doi:10.5061/DRYAD.ZGMSBCCB4'
apa: 'Koch, E., Morales, H. E., Larsson, J., Westram, A. M., Faria, R., Lemmon,
A. R., … Butlin, R. K. (2021). Data from: Genetic variation for adaptive traits
is associated with polymorphic inversions in Littorina saxatilis. Dryad. https://doi.org/10.5061/DRYAD.ZGMSBCCB4'
chicago: 'Koch, Eva, Hernán E. Morales, Jenny Larsson, Anja M Westram, Rui Faria,
Alan R. Lemmon, E. Moriarty Lemmon, Kerstin Johannesson, and Roger K. Butlin.
“Data from: Genetic Variation for Adaptive Traits Is Associated with Polymorphic
Inversions in Littorina Saxatilis.” Dryad, 2021. https://doi.org/10.5061/DRYAD.ZGMSBCCB4.'
ieee: 'E. Koch et al., “Data from: Genetic variation for adaptive traits
is associated with polymorphic inversions in Littorina saxatilis.” Dryad, 2021.'
ista: 'Koch E, Morales HE, Larsson J, Westram AM, Faria R, Lemmon AR, Lemmon EM,
Johannesson K, Butlin RK. 2021. Data from: Genetic variation for adaptive traits
is associated with polymorphic inversions in Littorina saxatilis, Dryad, 10.5061/DRYAD.ZGMSBCCB4.'
mla: 'Koch, Eva, et al. Data from: Genetic Variation for Adaptive Traits Is Associated
with Polymorphic Inversions in Littorina Saxatilis. Dryad, 2021, doi:10.5061/DRYAD.ZGMSBCCB4.'
short: E. Koch, H.E. Morales, J. Larsson, A.M. Westram, R. Faria, A.R. Lemmon, E.M.
Lemmon, K. Johannesson, R.K. Butlin, (2021).
date_created: 2023-05-16T12:34:09Z
date_published: 2021-04-10T00:00:00Z
date_updated: 2023-08-08T13:34:07Z
day: '10'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.5061/DRYAD.ZGMSBCCB4
has_accepted_license: '1'
license: https://creativecommons.org/publicdomain/zero/1.0/
main_file_link:
- open_access: '1'
url: https://doi.org/10.5061/dryad.zgmsbccb4
month: '04'
oa: 1
oa_version: Published Version
publisher: Dryad
related_material:
record:
- id: '9394'
relation: used_in_publication
status: public
status: public
title: 'Data from: Genetic variation for adaptive traits is associated with polymorphic
inversions in Littorina saxatilis'
tmp:
image: /images/cc_0.png
legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode
name: Creative Commons Public Domain Dedication (CC0 1.0)
short: CC0 (1.0)
type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2021'
...
---
_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: 2023-08-08T13:44:35Z
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: '9470'
abstract:
- lang: eng
text: A key step in understanding the genetic basis of different evolutionary outcomes
(e.g., adaptation) is to determine the roles played by different mutation types
(e.g., SNPs, translocations and inversions). To do this we must simultaneously
consider different mutation types in an evolutionary framework. Here, we propose
a research framework that directly utilizes the most important characteristics
of mutations, their population genetic effects, to determine their relative evolutionary
significance in a given scenario. We review known population genetic effects of
different mutation types and show how these may be connected to different evolutionary
outcomes. We provide examples of how to implement this framework and pinpoint
areas where more data, theory and synthesis are needed. Linking experimental and
theoretical approaches to examine different mutation types simultaneously is a
critical step towards understanding their evolutionary significance.
acknowledgement: We thank the editor, two helpful reviewers, Roger Butlin, Kerstin
Johannesson, Valentina Peona, Rike Stelkens, Julie Blommaert, Nick Barton, and João
Alpedrinha for helpful comments that improved the manuscript. The authors acknowledge
funding from the Swedish Research Council Formas (2017-01597 to AS), the Swedish
Research Council Vetenskapsrådet (2016-05139 to AS, 2019-04452 to TS) and from the
European Research Council (ERC) under the European Union’s Horizon 2020 research
and innovation programme (grant agreement no. 757451 to TS). ELB was funded by a
Carl Tryggers grant awarded to Tanja Slotte. Anja M. Westram was funded by the European
Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie
grant agreement No 797747. Inês Fragata was funded by a Junior Researcher contract
from FCT (CEECIND/02616/2018).
article_processing_charge: No
author:
- first_name: Emma L.
full_name: Berdan, Emma L.
last_name: Berdan
- first_name: Alexandre
full_name: Blanckaert, Alexandre
last_name: Blanckaert
- first_name: Tanja
full_name: Slotte, Tanja
last_name: Slotte
- first_name: Alexander
full_name: Suh, Alexander
last_name: Suh
- first_name: Anja M
full_name: Westram, Anja M
id: 3C147470-F248-11E8-B48F-1D18A9856A87
last_name: Westram
orcid: 0000-0003-1050-4969
- first_name: Inês
full_name: Fragata, Inês
last_name: Fragata
citation:
ama: 'Berdan EL, Blanckaert A, Slotte T, Suh A, Westram AM, Fragata I. Unboxing
mutations: Connecting mutation types with evolutionary consequences. Molecular
Ecology. 2021;30(12):2710-2723. doi:10.1111/mec.15936'
apa: 'Berdan, E. L., Blanckaert, A., Slotte, T., Suh, A., Westram, A. M., &
Fragata, I. (2021). Unboxing mutations: Connecting mutation types with evolutionary
consequences. Molecular Ecology. Wiley. https://doi.org/10.1111/mec.15936'
chicago: 'Berdan, Emma L., Alexandre Blanckaert, Tanja Slotte, Alexander Suh, Anja
M Westram, and Inês Fragata. “Unboxing Mutations: Connecting Mutation Types with
Evolutionary Consequences.” Molecular Ecology. Wiley, 2021. https://doi.org/10.1111/mec.15936.'
ieee: 'E. L. Berdan, A. Blanckaert, T. Slotte, A. Suh, A. M. Westram, and I. Fragata,
“Unboxing mutations: Connecting mutation types with evolutionary consequences,”
Molecular Ecology, vol. 30, no. 12. Wiley, pp. 2710–2723, 2021.'
ista: 'Berdan EL, Blanckaert A, Slotte T, Suh A, Westram AM, Fragata I. 2021. Unboxing
mutations: Connecting mutation types with evolutionary consequences. Molecular
Ecology. 30(12), 2710–2723.'
mla: 'Berdan, Emma L., et al. “Unboxing Mutations: Connecting Mutation Types with
Evolutionary Consequences.” Molecular Ecology, vol. 30, no. 12, Wiley,
2021, pp. 2710–23, doi:10.1111/mec.15936.'
short: E.L. Berdan, A. Blanckaert, T. Slotte, A. Suh, A.M. Westram, I. Fragata,
Molecular Ecology 30 (2021) 2710–2723.
date_created: 2021-06-06T22:01:31Z
date_published: 2021-06-01T00:00:00Z
date_updated: 2023-08-08T13:59:18Z
day: '01'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1111/mec.15936
ec_funded: 1
external_id:
isi:
- '000652056400001'
file:
- access_level: open_access
checksum: e6f4731365bde2614b333040a08265d8
content_type: application/pdf
creator: kschuh
date_created: 2021-06-11T15:34:53Z
date_updated: 2021-06-11T15:34:53Z
file_id: '9545'
file_name: 2021_MolecularEcology_Berdan.pdf
file_size: 1031978
relation: main_file
success: 1
file_date_updated: 2021-06-11T15:34:53Z
has_accepted_license: '1'
intvolume: ' 30'
isi: 1
issue: '12'
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc/4.0/
month: '06'
oa: 1
oa_version: Published Version
page: 2710-2723
project:
- _id: 265B41B8-B435-11E9-9278-68D0E5697425
call_identifier: H2020
grant_number: '797747'
name: Theoretical and empirical approaches to understanding Parallel Adaptation
publication: Molecular Ecology
publication_identifier:
eissn:
- 1365294X
issn:
- '09621083'
publication_status: published
publisher: Wiley
quality_controlled: '1'
scopus_import: '1'
status: public
title: 'Unboxing mutations: Connecting mutation types with evolutionary consequences'
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: 4359f0d1-fa6c-11eb-b949-802e58b17ae8
volume: 30
year: '2021'
...