Inferring genetic connectivity in real populations, exemplified by coastal and oceanic atlantic cod

Genetic data are commonly used to estimate connectivity between putative populations, but translating them to demographic dispersal rates is complicated. Theoretical equations that infer a migration rate based on the genetic estimator FST, such as Wright’s equation, FST ≈ 1/(4Nem + 1), make assumpti...

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Published in:Proceedings of the National Academy of Sciences
Main Authors: Spies, Ingrid, Hauser, Lorenz, Jorde, Per Erik, Knutsen, Halvor, Punt, André E., Rogers, Lauren, Stenseth, Nils Christian
Format: Article in Journal/Newspaper
Language:English
Published: 2018
Subjects:
Online Access:http://hdl.handle.net/11250/2561751
https://doi.org/10.1073/pnas.1800096115
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spelling ftimr:oai:imr.brage.unit.no:11250/2561751 2023-05-15T15:27:22+02:00 Inferring genetic connectivity in real populations, exemplified by coastal and oceanic atlantic cod Spies, Ingrid Hauser, Lorenz Jorde, Per Erik Knutsen, Halvor Punt, André E. Rogers, Lauren Stenseth, Nils Christian 2018 application/pdf http://hdl.handle.net/11250/2561751 https://doi.org/10.1073/pnas.1800096115 eng eng Proceedings of the National Academy of Sciences of the United States of America. 2018, 115 (19), 4945-4950. urn:issn:0027-8424 http://hdl.handle.net/11250/2561751 https://doi.org/10.1073/pnas.1800096115 cristin:1595565 4945-4950 115 Proceedings of the National Academy of Sciences of the United States of America 19 Journal article Peer reviewed 2018 ftimr https://doi.org/10.1073/pnas.1800096115 2021-09-23T20:16:04Z Genetic data are commonly used to estimate connectivity between putative populations, but translating them to demographic dispersal rates is complicated. Theoretical equations that infer a migration rate based on the genetic estimator FST, such as Wright’s equation, FST ≈ 1/(4Nem + 1), make assumptions that do not apply to most real populations. How complexities inherent to real populations affect migration was exemplified by Atlantic cod in the North Sea and Skagerrak and was examined within an age-structured model that incorporated genetic markers. Migration was determined under various scenarios by varying the number of simulated migrants until the mean simulated level of genetic differentiation matched a fixed level of genetic differentiation equal to empirical estimates. Parameters that decreased the Ne/Nt ratio (where Ne is the effective and Nt is the total population size), such as high fishing mortality and high fishing gear selectivity, increased the number of migrants required to achieve empirical levels of genetic differentiation. Higher maturity-at-age and lower selectivity increased Ne/Nt and decreased migration when genetic differentiation was fixed. Changes in natural mortality, fishing gear selectivity, and maturity-at-age within expected limits had a moderate effect on migration when genetic differentiation was held constant. Changes in population size had the greatest effect on the number of migrants to achieve fixed levels of FST, particularly when genetic differentiation was low, FST ≈ 10−3. Highly variable migration patterns, compared with constant migration, resulted in higher variance in genetic differentiation and higher extreme values. Results are compared with and provide insight into the use of theoretical equations to estimate migration among real populations. publishedVersion Article in Journal/Newspaper atlantic cod Institute for Marine Research: Brage IMR Proceedings of the National Academy of Sciences 115 19 4945 4950
institution Open Polar
collection Institute for Marine Research: Brage IMR
op_collection_id ftimr
language English
description Genetic data are commonly used to estimate connectivity between putative populations, but translating them to demographic dispersal rates is complicated. Theoretical equations that infer a migration rate based on the genetic estimator FST, such as Wright’s equation, FST ≈ 1/(4Nem + 1), make assumptions that do not apply to most real populations. How complexities inherent to real populations affect migration was exemplified by Atlantic cod in the North Sea and Skagerrak and was examined within an age-structured model that incorporated genetic markers. Migration was determined under various scenarios by varying the number of simulated migrants until the mean simulated level of genetic differentiation matched a fixed level of genetic differentiation equal to empirical estimates. Parameters that decreased the Ne/Nt ratio (where Ne is the effective and Nt is the total population size), such as high fishing mortality and high fishing gear selectivity, increased the number of migrants required to achieve empirical levels of genetic differentiation. Higher maturity-at-age and lower selectivity increased Ne/Nt and decreased migration when genetic differentiation was fixed. Changes in natural mortality, fishing gear selectivity, and maturity-at-age within expected limits had a moderate effect on migration when genetic differentiation was held constant. Changes in population size had the greatest effect on the number of migrants to achieve fixed levels of FST, particularly when genetic differentiation was low, FST ≈ 10−3. Highly variable migration patterns, compared with constant migration, resulted in higher variance in genetic differentiation and higher extreme values. Results are compared with and provide insight into the use of theoretical equations to estimate migration among real populations. publishedVersion
format Article in Journal/Newspaper
author Spies, Ingrid
Hauser, Lorenz
Jorde, Per Erik
Knutsen, Halvor
Punt, André E.
Rogers, Lauren
Stenseth, Nils Christian
spellingShingle Spies, Ingrid
Hauser, Lorenz
Jorde, Per Erik
Knutsen, Halvor
Punt, André E.
Rogers, Lauren
Stenseth, Nils Christian
Inferring genetic connectivity in real populations, exemplified by coastal and oceanic atlantic cod
author_facet Spies, Ingrid
Hauser, Lorenz
Jorde, Per Erik
Knutsen, Halvor
Punt, André E.
Rogers, Lauren
Stenseth, Nils Christian
author_sort Spies, Ingrid
title Inferring genetic connectivity in real populations, exemplified by coastal and oceanic atlantic cod
title_short Inferring genetic connectivity in real populations, exemplified by coastal and oceanic atlantic cod
title_full Inferring genetic connectivity in real populations, exemplified by coastal and oceanic atlantic cod
title_fullStr Inferring genetic connectivity in real populations, exemplified by coastal and oceanic atlantic cod
title_full_unstemmed Inferring genetic connectivity in real populations, exemplified by coastal and oceanic atlantic cod
title_sort inferring genetic connectivity in real populations, exemplified by coastal and oceanic atlantic cod
publishDate 2018
url http://hdl.handle.net/11250/2561751
https://doi.org/10.1073/pnas.1800096115
genre atlantic cod
genre_facet atlantic cod
op_source 4945-4950
115
Proceedings of the National Academy of Sciences of the United States of America
19
op_relation Proceedings of the National Academy of Sciences of the United States of America. 2018, 115 (19), 4945-4950.
urn:issn:0027-8424
http://hdl.handle.net/11250/2561751
https://doi.org/10.1073/pnas.1800096115
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op_doi https://doi.org/10.1073/pnas.1800096115
container_title Proceedings of the National Academy of Sciences
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container_start_page 4945
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