---
_id: '14833'
abstract:
- lang: eng
text: Understanding the factors that have shaped the current distributions and diversity
of species is a central and longstanding aim of evolutionary biology. The recent
inclusion of genomic data into phylogeographic studies has dramatically improved
our understanding in organisms where evolutionary relationships have been challenging
to infer. We used whole-genome sequences to study the phylogeography of the intertidal
snail Littorina saxatilis, which has successfully colonized and diversified across
a broad range of coastal environments in the Northern Hemisphere amid repeated
cycles of glaciation. Building on past studies based on short DNA sequences, we
used genome-wide data to provide a clearer picture of the relationships among
samples spanning most of the species natural range. Our results confirm the trans-Atlantic
colonization of North America from Europe, and have allowed us to identify rough
locations of glacial refugia and to infer likely routes of colonization within
Europe. We also investigated the signals in different datasets to account for
the effects of genomic architecture and non-neutral evolution, which provides
new insights about diversification of four ecotypes of L. saxatilis (the crab,
wave, barnacle, and brackish ecotypes) at different spatial scales. Overall, we
provide a much clearer picture of the biogeography of L. saxatilis, providing
a foundation for more detailed phylogenomic and demographic studies.
acknowledgement: Isobel Eyres, Richard Turney, Graciela Sotelo, Jenny Larson, and
Stéphane Loisel helped with the collection and processing of samples. Petri Kemppainen
kindly provided samples from Trondheim Fjord. Mark Dunning helped with the development
of bioinformatic pipelines. The analysis of genomic data was conducted on the University
of Sheffield high-performance computing cluster, ShARC. Funding was provided by
the Natural Environment Research Council (NERC) and the European Research Council
(ERC). J.G. was funded by a Juntas Industriales y Navales (JIN) project (Ministerio
de Ciencia, Innovación y Universidades, code RTI2018-101274-J-I00).
article_number: kzad002
article_processing_charge: Yes (via OA deal)
article_type: original
author:
- first_name: Sean
full_name: Stankowski, Sean
id: 43161670-5719-11EA-8025-FABC3DDC885E
last_name: Stankowski
- first_name: Zuzanna B
full_name: Zagrodzka, Zuzanna B
last_name: Zagrodzka
- first_name: Juan
full_name: Galindo, Juan
last_name: Galindo
- first_name: Mauricio
full_name: Montaño-Rendón, Mauricio
last_name: Montaño-Rendón
- first_name: Rui
full_name: Faria, Rui
last_name: Faria
- first_name: Natalia
full_name: Mikhailova, Natalia
last_name: Mikhailova
- first_name: April M H
full_name: Blakeslee, April M H
last_name: Blakeslee
- first_name: Einar
full_name: Arnason, Einar
last_name: Arnason
- first_name: Thomas
full_name: Broquet, Thomas
last_name: Broquet
- first_name: Hernán E
full_name: Morales, Hernán E
last_name: Morales
- first_name: John W
full_name: Grahame, John W
last_name: Grahame
- 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: Kerstin
full_name: Johannesson, Kerstin
last_name: Johannesson
- first_name: Roger K
full_name: Butlin, Roger K
last_name: Butlin
citation:
ama: Stankowski S, Zagrodzka ZB, Galindo J, et al. Whole-genome phylogeography of
the intertidal snail Littorina saxatilis. Evolutionary Journal of the Linnean
Society. 2023;2(1). doi:10.1093/evolinnean/kzad002
apa: Stankowski, S., Zagrodzka, Z. B., Galindo, J., Montaño-Rendón, M., Faria, R.,
Mikhailova, N., … Butlin, R. K. (2023). Whole-genome phylogeography of the intertidal
snail Littorina saxatilis. Evolutionary Journal of the Linnean Society.
Oxford University Press. https://doi.org/10.1093/evolinnean/kzad002
chicago: Stankowski, Sean, Zuzanna B Zagrodzka, Juan Galindo, Mauricio Montaño-Rendón,
Rui Faria, Natalia Mikhailova, April M H Blakeslee, et al. “Whole-Genome Phylogeography
of the Intertidal Snail Littorina Saxatilis.” Evolutionary Journal of the Linnean
Society. Oxford University Press, 2023. https://doi.org/10.1093/evolinnean/kzad002.
ieee: S. Stankowski et al., “Whole-genome phylogeography of the intertidal
snail Littorina saxatilis,” Evolutionary Journal of the Linnean Society,
vol. 2, no. 1. Oxford University Press, 2023.
ista: Stankowski S, Zagrodzka ZB, Galindo J, Montaño-Rendón M, Faria R, Mikhailova
N, Blakeslee AMH, Arnason E, Broquet T, Morales HE, Grahame JW, Westram AM, Johannesson
K, Butlin RK. 2023. Whole-genome phylogeography of the intertidal snail Littorina
saxatilis. Evolutionary Journal of the Linnean Society. 2(1), kzad002.
mla: Stankowski, Sean, et al. “Whole-Genome Phylogeography of the Intertidal Snail
Littorina Saxatilis.” Evolutionary Journal of the Linnean Society, vol.
2, no. 1, kzad002, Oxford University Press, 2023, doi:10.1093/evolinnean/kzad002.
short: S. Stankowski, Z.B. Zagrodzka, J. Galindo, M. Montaño-Rendón, R. Faria, N.
Mikhailova, A.M.H. Blakeslee, E. Arnason, T. Broquet, H.E. Morales, J.W. Grahame,
A.M. Westram, K. Johannesson, R.K. Butlin, Evolutionary Journal of the Linnean
Society 2 (2023).
date_created: 2024-01-18T07:54:10Z
date_published: 2023-08-17T00:00:00Z
date_updated: 2024-01-23T08:13:43Z
day: '17'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1093/evolinnean/kzad002
file:
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checksum: ba6f9102d3a9fe6631c4fa398c5e4313
content_type: application/pdf
creator: dernst
date_created: 2024-01-23T08:10:00Z
date_updated: 2024-01-23T08:10:00Z
file_id: '14875'
file_name: 2023_EvolJourLinneanSociety_Stankowski.pdf
file_size: 3408944
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month: '08'
oa: 1
oa_version: Published Version
publication: Evolutionary Journal of the Linnean Society
publication_identifier:
eissn:
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publication_status: published
publisher: Oxford University Press
quality_controlled: '1'
status: public
title: Whole-genome phylogeography of the intertidal snail Littorina saxatilis
tmp:
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type: journal_article
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volume: 2
year: '2023'
...
---
_id: '14732'
abstract:
- lang: eng
text: 'Fragmented landscapes pose a significant threat to the persistence of species
as they are highly susceptible to heightened risk of extinction due to the combined
effects of genetic and demographic factors such as genetic drift and demographic
stochasticity. This paper explores the intricate interplay between genetic load
and extinction risk within metapopulations with a focus on understanding the impact
of eco-evolutionary feedback mechanisms. We distinguish between two models of
selection: soft selection, characterised by subpopulations maintaining carrying
capacity despite load, and hard selection, where load can significantly affect
population size. Within the soft selection framework, we investigate the impact
of gene flow on genetic load at a single locus, while also considering the effect
of selection strength and dominance coefficient. We subsequently build on this
to examine how gene flow influences both population size and load under hard selection
as well as identify critical thresholds for metapopulation persistence. Our analysis
employs the diffusion, semi-deterministic and effective migration approximations.
Our findings reveal that under soft selection, even modest levels of migration
can significantly alleviate the burden of load. In sharp contrast, with hard selection,
a much higher degree of gene flow is required to mitigate load and prevent the
collapse of the metapopulation. Overall, this study sheds light into the crucial
role migration plays in shaping the dynamics of genetic load and extinction risk
in fragmented landscapes, offering valuable insights for conservation strategies
and the preservation of diversity in a changing world.'
article_processing_charge: No
author:
- 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: Kseniia
full_name: Khudiakova, Kseniia
id: 4E6DC800-AE37-11E9-AC72-31CAE5697425
last_name: Khudiakova
orcid: 0000-0002-6246-1465
- first_name: Himani
full_name: Sachdeva, Himani
id: 42377A0A-F248-11E8-B48F-1D18A9856A87
last_name: Sachdeva
citation:
ama: Olusanya OO, Khudiakova K, Sachdeva H. Genetic load, eco-evolutionary feedback
and extinction in a metapopulation. bioRxiv. doi:10.1101/2023.12.02.569702
apa: Olusanya, O. O., Khudiakova, K., & Sachdeva, H. (n.d.). Genetic load, eco-evolutionary
feedback and extinction in a metapopulation. bioRxiv. https://doi.org/10.1101/2023.12.02.569702
chicago: Olusanya, Oluwafunmilola O, Kseniia Khudiakova, and Himani Sachdeva. “Genetic
Load, Eco-Evolutionary Feedback and Extinction in a Metapopulation.” BioRxiv,
n.d. https://doi.org/10.1101/2023.12.02.569702.
ieee: O. O. Olusanya, K. Khudiakova, and H. Sachdeva, “Genetic load, eco-evolutionary
feedback and extinction in a metapopulation,” bioRxiv. .
ista: Olusanya OO, Khudiakova K, Sachdeva H. Genetic load, eco-evolutionary feedback
and extinction in a metapopulation. bioRxiv, 10.1101/2023.12.02.569702.
mla: Olusanya, Oluwafunmilola O., et al. “Genetic Load, Eco-Evolutionary Feedback
and Extinction in a Metapopulation.” BioRxiv, doi:10.1101/2023.12.02.569702.
short: O.O. Olusanya, K. Khudiakova, H. Sachdeva, BioRxiv (n.d.).
date_created: 2024-01-04T09:35:54Z
date_published: 2023-12-04T00:00:00Z
date_updated: 2024-01-26T12:00:53Z
day: '04'
department:
- _id: NiBa
- _id: JaMa
doi: 10.1101/2023.12.02.569702
language:
- iso: eng
license: https://creativecommons.org/licenses/by-nc-nd/4.0/
main_file_link:
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url: https://www.biorxiv.org/content/10.1101/2023.12.02.569702v1
month: '12'
oa: 1
oa_version: Preprint
project:
- _id: c08d3278-5a5b-11eb-8a69-fdb09b55f4b8
grant_number: P32896
name: Causes and consequences of population fragmentation
- _id: 34d33d68-11ca-11ed-8bc3-ec13763c0ca8
grant_number: '26293'
name: The impact of deleterious mutations on small populations
- _id: 34c872fe-11ca-11ed-8bc3-8534b82131e6
grant_number: '26380'
name: Polygenic Adaptation in a Metapopulation
publication: bioRxiv
publication_status: submitted
related_material:
record:
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relation: dissertation_contains
status: public
status: public
title: Genetic load, eco-evolutionary feedback and extinction in a metapopulation
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short: CC BY-NC-ND (4.0)
type: preprint
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '14812'
abstract:
- lang: eng
text: This repository contains the code and VCF files needed to conduct the analyses
in our MS. Each folder contains a readMe document explaining the nature of each
file and dataset and the results and analyses that they relate to. The same anlaysis
code (but not VCF files) is also available at https://github.com/seanstankowski/Littorina_reproductive_mode
article_processing_charge: No
author:
- first_name: Sean
full_name: Stankowski, Sean
id: 43161670-5719-11EA-8025-FABC3DDC885E
last_name: Stankowski
citation:
ama: 'Stankowski S. Data and code for: The genetic architecture of a recent transition
to live-bearing in marine snails. 2023. doi:10.5281/ZENODO.8318995'
apa: 'Stankowski, S. (2023). Data and code for: The genetic architecture of a recent
transition to live-bearing in marine snails. Zenodo. https://doi.org/10.5281/ZENODO.8318995'
chicago: 'Stankowski, Sean. “Data and Code for: The Genetic Architecture of a Recent
Transition to Live-Bearing in Marine Snails.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.8318995.'
ieee: 'S. Stankowski, “Data and code for: The genetic architecture of a recent transition
to live-bearing in marine snails.” Zenodo, 2023.'
ista: 'Stankowski S. 2023. Data and code for: The genetic architecture of a recent
transition to live-bearing in marine snails, Zenodo, 10.5281/ZENODO.8318995.'
mla: 'Stankowski, Sean. Data and Code for: The Genetic Architecture of a Recent
Transition to Live-Bearing in Marine Snails. Zenodo, 2023, doi:10.5281/ZENODO.8318995.'
short: S. Stankowski, (2023).
contributor:
- first_name: Zusanna
last_name: Zagrodzka
- first_name: Martin
last_name: Garlovsky
- first_name: Arka
id: 6AAB2240-CA9A-11E9-9C1A-D9D1E5697425
last_name: Pal
orcid: 0000-0002-4530-8469
- first_name: Daria
id: 428A94B0-F248-11E8-B48F-1D18A9856A87
last_name: Shipilina
orcid: 0000-0002-1145-9226
- first_name: Diego Fernando
id: ae681a14-dc74-11ea-a0a7-c6ef18161701
last_name: Garcia Castillo
- first_name: Hila
id: d6ab5470-2fb3-11ed-8633-986a9b84edac
last_name: Lifchitz
- first_name: Alan
last_name: Le Moan
- first_name: Erica
last_name: Leder
- first_name: James
last_name: Reeve
- first_name: Kerstin
last_name: Johannesson
- first_name: Anja M
id: 3C147470-F248-11E8-B48F-1D18A9856A87
last_name: Westram
orcid: 0000-0003-1050-4969
- first_name: Roger
last_name: Butlin
date_created: 2024-01-16T10:23:01Z
date_published: 2023-09-05T00:00:00Z
date_updated: 2024-03-05T09:35:25Z
day: '05'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.5281/ZENODO.8318995
has_accepted_license: '1'
license: https://creativecommons.org/licenses/by/4.0/
main_file_link:
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month: '09'
oa: 1
oa_version: Published Version
publisher: Zenodo
related_material:
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relation: used_in_publication
status: public
status: public
title: 'Data and code for: The genetic architecture of a recent transition to live-bearing
in marine snails'
tmp:
image: /images/cc_by.png
legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode
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type: research_data_reference
user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87
year: '2023'
...
---
_id: '12800'
abstract:
- lang: eng
text: 'The evolutionary processes that brought about today’s plethora of living
species and the many billions more ancient ones all underlie biology. Evolutionary
pathways are neither directed nor deterministic, but rather an interplay between
selection, migration, mutation, genetic drift and other environmental factors.
Hybrid zones, as natural crossing experiments, offer a great opportunity to use
cline analysis to deduce different evolutionary processes - for example, selection
strength. Theoretical cline models, largely assuming uniform distribution of individuals,
often lack the capability of incorporating population structure. Since in reality
organisms mostly live in patchy distributions and their dispersal is hardly ever
Gaussian, it is necessary to unravel the effect of these different elements of
population structure on cline parameters and shape. In this thesis, I develop
a simulation inspired by the A. majus hybrid zone of a single selected locus under
frequency dependent selection. This simulation enables us to untangle the effects
of different elements of population structure as for example a low-density center
and long-range dispersal. This thesis is therefore a first step towards theoretically
untangling the effects of different elements of population structure on cline
parameters and shape. '
alternative_title:
- ISTA Master's Thesis
article_processing_charge: No
author:
- first_name: Mara
full_name: Julseth, Mara
id: 1cf464b2-dc7d-11ea-9b2f-f9b1aa9417d1
last_name: Julseth
citation:
ama: Julseth M. The effect of local population structure on genetic variation at
selected loci in the A. majus hybrid zone. 2023. doi:10.15479/at:ista:12800
apa: Julseth, M. (2023). The effect of local population structure on genetic
variation at selected loci in the A. majus hybrid zone. Institute of Science
and Technology Austria. https://doi.org/10.15479/at:ista:12800
chicago: Julseth, Mara. “The Effect of Local Population Structure on Genetic Variation
at Selected Loci in the A. Majus Hybrid Zone.” Institute of Science and Technology
Austria, 2023. https://doi.org/10.15479/at:ista:12800.
ieee: M. Julseth, “The effect of local population structure on genetic variation
at selected loci in the A. majus hybrid zone,” Institute of Science and Technology
Austria, 2023.
ista: Julseth M. 2023. The effect of local population structure on genetic variation
at selected loci in the A. majus hybrid zone. Institute of Science and Technology
Austria.
mla: Julseth, Mara. The Effect of Local Population Structure on Genetic Variation
at Selected Loci in the A. Majus Hybrid Zone. Institute of Science and Technology
Austria, 2023, doi:10.15479/at:ista:12800.
short: M. Julseth, The Effect of Local Population Structure on Genetic Variation
at Selected Loci in the A. Majus Hybrid Zone, Institute of Science and Technology
Austria, 2023.
date_created: 2023-04-04T18:57:11Z
date_published: 2023-04-05T00:00:00Z
date_updated: 2023-06-02T22:30:05Z
day: '05'
ddc:
- '576'
degree_awarded: MS
department:
- _id: GradSch
- _id: NiBa
doi: 10.15479/at:ista:12800
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file_date_updated: 2023-06-02T22:30:04Z
has_accepted_license: '1'
language:
- iso: eng
month: '04'
oa: 1
oa_version: Published Version
page: '21'
publication_identifier:
issn:
- 2791-4585
publication_status: published
publisher: Institute of Science and Technology Austria
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 effect of local population structure on genetic variation at selected loci
in the A. majus hybrid zone
type: dissertation
user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9
year: '2023'
...
---
_id: '11702'
abstract:
- lang: eng
text: When Mendel’s work was rediscovered in 1900, and extended to establish classical
genetics, it was initially seen in opposition to Darwin’s theory of evolution
by natural selection on continuous variation, as represented by the biometric
research program that was the foundation of quantitative genetics. As Fisher,
Haldane, and Wright established a century ago, Mendelian inheritance is exactly
what is needed for natural selection to work efficiently. Yet, the synthesis remains
unfinished. We do not understand why sexual reproduction and a fair meiosis predominate
in eukaryotes, or how far these are responsible for their diversity and complexity.
Moreover, although quantitative geneticists have long known that adaptive variation
is highly polygenic, and that this is essential for efficient selection, this
is only now becoming appreciated by molecular biologists—and we still do not have
a good framework for understanding polygenic variation or diffuse function.
acknowledgement: I thank Laura Hayward, Jitka Polechova, and Anja Westram for discussions
and comments.
article_number: e2122147119
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
citation:
ama: Barton NH. The “New Synthesis.” Proceedings of the National Academy of Sciences
of the United States of America. 2022;119(30). doi:10.1073/pnas.2122147119
apa: Barton, N. H. (2022). The “New Synthesis.” Proceedings of the National Academy
of Sciences of the United States of America. Proceedings of the National Academy
of Sciences. https://doi.org/10.1073/pnas.2122147119
chicago: Barton, Nicholas H. “The ‘New Synthesis.’” Proceedings of the National
Academy of Sciences of the United States of America. Proceedings of the National
Academy of Sciences, 2022. https://doi.org/10.1073/pnas.2122147119.
ieee: N. H. Barton, “The ‘New Synthesis,’” Proceedings of the National Academy
of Sciences of the United States of America, vol. 119, no. 30. Proceedings
of the National Academy of Sciences, 2022.
ista: Barton NH. 2022. The ‘New Synthesis’. Proceedings of the National Academy
of Sciences of the United States of America. 119(30), e2122147119.
mla: Barton, Nicholas H. “The ‘New Synthesis.’” Proceedings of the National Academy
of Sciences of the United States of America, vol. 119, no. 30, e2122147119,
Proceedings of the National Academy of Sciences, 2022, doi:10.1073/pnas.2122147119.
short: N.H. Barton, Proceedings of the National Academy of Sciences of the United
States of America 119 (2022).
date_created: 2022-07-31T22:01:47Z
date_published: 2022-07-18T00:00:00Z
date_updated: 2022-08-01T11:00:25Z
day: '18'
ddc:
- '570'
department:
- _id: NiBa
doi: 10.1073/pnas.2122147119
external_id:
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- '35858408'
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month: '07'
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oa_version: Published Version
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publication: Proceedings of the National Academy of Sciences of the United States
of America
publication_identifier:
eissn:
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issn:
- 0027-8424
publication_status: published
publisher: Proceedings of the National Academy of Sciences
quality_controlled: '1'
scopus_import: '1'
status: public
title: The "New Synthesis"
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: 119
year: '2022'
...