Temporal patterns of genetic variation in a salmon population undergoing rapid change in migration timing

Though genetic diversity is necessary for population persistence in rapidly changing environments, little is known about how climate‐warming influences patterns of intra‐population genetic variation. For a pink salmon population experiencing increasing temperatures, we used temporal genetic data (mi...

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Published in:Evolutionary Applications
Main Authors: Kovach, Ryan P., Gharrett, Anthony J., Tallmon, David A.
Format: Text
Language:English
Published: John Wiley and Sons Inc. 2013
Subjects:
Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5779130/
https://doi.org/10.1111/eva.12066
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spelling ftpubmed:oai:pubmedcentral.nih.gov:5779130 2023-05-15T17:59:40+02:00 Temporal patterns of genetic variation in a salmon population undergoing rapid change in migration timing Kovach, Ryan P. Gharrett, Anthony J. Tallmon, David A. 2013-04-18 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5779130/ https://doi.org/10.1111/eva.12066 en eng John Wiley and Sons Inc. http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5779130/ http://dx.doi.org/10.1111/eva.12066 © 2013 The Authors. Evolutionary Applications published by Blackwell Publishing Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. CC-BY Original Articles Text 2013 ftpubmed https://doi.org/10.1111/eva.12066 2018-02-04T01:29:04Z Though genetic diversity is necessary for population persistence in rapidly changing environments, little is known about how climate‐warming influences patterns of intra‐population genetic variation. For a pink salmon population experiencing increasing temperatures, we used temporal genetic data (microsatellite = 1993, 2001, 2009; allozyme = 1979, 1981, 1983) to quantify the genetic effective population size (N e) and genetic divergence due to differences in migration timing and to estimate whether these quantities have changed over time. We predicted that temporal trends toward earlier migration timing and a corresponding loss of phenotypic variation would decrease genetic divergence based on migration timing and N e. We observed significant genetic divergence based on migration timing and genetic heterogeneity between early‐ and late‐migrating fish. There was also some evidence for divergent selection between early‐ and late‐migrating fish at circadian rhythm genes, but results varied over time. Estimates of N e from multiple methods were large (>1200) and N e/N c generally exceeded 0.2. Despite shifts in migration timing and loss of phenotypic variation, there was no evidence for changes in within‐population genetic divergence or N e over the course of this study. These results suggest that in instances of population stability, genetic diversity may be resistant to climate‐induced changes in migration timing. Text Pink salmon PubMed Central (PMC) Evolutionary Applications 6 5 795 807
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Original Articles
spellingShingle Original Articles
Kovach, Ryan P.
Gharrett, Anthony J.
Tallmon, David A.
Temporal patterns of genetic variation in a salmon population undergoing rapid change in migration timing
topic_facet Original Articles
description Though genetic diversity is necessary for population persistence in rapidly changing environments, little is known about how climate‐warming influences patterns of intra‐population genetic variation. For a pink salmon population experiencing increasing temperatures, we used temporal genetic data (microsatellite = 1993, 2001, 2009; allozyme = 1979, 1981, 1983) to quantify the genetic effective population size (N e) and genetic divergence due to differences in migration timing and to estimate whether these quantities have changed over time. We predicted that temporal trends toward earlier migration timing and a corresponding loss of phenotypic variation would decrease genetic divergence based on migration timing and N e. We observed significant genetic divergence based on migration timing and genetic heterogeneity between early‐ and late‐migrating fish. There was also some evidence for divergent selection between early‐ and late‐migrating fish at circadian rhythm genes, but results varied over time. Estimates of N e from multiple methods were large (>1200) and N e/N c generally exceeded 0.2. Despite shifts in migration timing and loss of phenotypic variation, there was no evidence for changes in within‐population genetic divergence or N e over the course of this study. These results suggest that in instances of population stability, genetic diversity may be resistant to climate‐induced changes in migration timing.
format Text
author Kovach, Ryan P.
Gharrett, Anthony J.
Tallmon, David A.
author_facet Kovach, Ryan P.
Gharrett, Anthony J.
Tallmon, David A.
author_sort Kovach, Ryan P.
title Temporal patterns of genetic variation in a salmon population undergoing rapid change in migration timing
title_short Temporal patterns of genetic variation in a salmon population undergoing rapid change in migration timing
title_full Temporal patterns of genetic variation in a salmon population undergoing rapid change in migration timing
title_fullStr Temporal patterns of genetic variation in a salmon population undergoing rapid change in migration timing
title_full_unstemmed Temporal patterns of genetic variation in a salmon population undergoing rapid change in migration timing
title_sort temporal patterns of genetic variation in a salmon population undergoing rapid change in migration timing
publisher John Wiley and Sons Inc.
publishDate 2013
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5779130/
https://doi.org/10.1111/eva.12066
genre Pink salmon
genre_facet Pink salmon
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5779130/
http://dx.doi.org/10.1111/eva.12066
op_rights © 2013 The Authors. Evolutionary Applications published by Blackwell Publishing Ltd.
This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/3.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
op_rightsnorm CC-BY
op_doi https://doi.org/10.1111/eva.12066
container_title Evolutionary Applications
container_volume 6
container_issue 5
container_start_page 795
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