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Population genomics of rapid evolution in natural populations: polygenic selection in response to power station thermal effluents

BACKGROUND: Examples of rapid evolution are common in nature but difficult to account for with the standard population genetic model of adaptation. Instead, selection from the standing genetic variation permits rapid adaptation via soft sweeps or polygenic adaptation. Empirical evidence of this proc...

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Autores principales: Dayan, David I., Du, Xiao, Baris, Tara Z., Wagner, Dominique N., Crawford, Douglas L., Oleksiak, Marjorie F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6390305/
https://www.ncbi.nlm.nih.gov/pubmed/30808292
http://dx.doi.org/10.1186/s12862-019-1392-5
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author Dayan, David I.
Du, Xiao
Baris, Tara Z.
Wagner, Dominique N.
Crawford, Douglas L.
Oleksiak, Marjorie F.
author_facet Dayan, David I.
Du, Xiao
Baris, Tara Z.
Wagner, Dominique N.
Crawford, Douglas L.
Oleksiak, Marjorie F.
author_sort Dayan, David I.
collection PubMed
description BACKGROUND: Examples of rapid evolution are common in nature but difficult to account for with the standard population genetic model of adaptation. Instead, selection from the standing genetic variation permits rapid adaptation via soft sweeps or polygenic adaptation. Empirical evidence of this process in nature is currently limited but accumulating. RESULTS: We provide genome-wide analyses of rapid evolution in Fundulus heteroclitus populations subjected to recently elevated temperatures due to coastal power station thermal effluents using 5449 SNPs across two effluent-affected and four reference populations. Bayesian and multivariate analyses of population genomic structure reveal a substantial portion of genetic variation that is most parsimoniously explained by selection at the site of thermal effluents. An F(ST) outlier approach in conjunction with additional conservative requirements identify significant allele frequency differentiation that exceeds neutral expectations among exposed and closely related reference populations. Genomic variation patterns near these candidate loci reveal that individuals living near thermal effluents have rapidly evolved from the standing genetic variation through small allele frequency changes at many loci in a pattern consistent with polygenic selection on the standing genetic variation. CONCLUSIONS: While the ultimate trajectory of selection in these populations is unknown and we survey only a minority of genomic loci, our findings suggest that polygenic models of adaptation may play important roles in large, natural populations experiencing recent selection due to environmental changes that cause broad physiological impacts. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12862-019-1392-5) contains supplementary material, which is available to authorized users.
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spelling pubmed-63903052019-03-19 Population genomics of rapid evolution in natural populations: polygenic selection in response to power station thermal effluents Dayan, David I. Du, Xiao Baris, Tara Z. Wagner, Dominique N. Crawford, Douglas L. Oleksiak, Marjorie F. BMC Evol Biol Research Article BACKGROUND: Examples of rapid evolution are common in nature but difficult to account for with the standard population genetic model of adaptation. Instead, selection from the standing genetic variation permits rapid adaptation via soft sweeps or polygenic adaptation. Empirical evidence of this process in nature is currently limited but accumulating. RESULTS: We provide genome-wide analyses of rapid evolution in Fundulus heteroclitus populations subjected to recently elevated temperatures due to coastal power station thermal effluents using 5449 SNPs across two effluent-affected and four reference populations. Bayesian and multivariate analyses of population genomic structure reveal a substantial portion of genetic variation that is most parsimoniously explained by selection at the site of thermal effluents. An F(ST) outlier approach in conjunction with additional conservative requirements identify significant allele frequency differentiation that exceeds neutral expectations among exposed and closely related reference populations. Genomic variation patterns near these candidate loci reveal that individuals living near thermal effluents have rapidly evolved from the standing genetic variation through small allele frequency changes at many loci in a pattern consistent with polygenic selection on the standing genetic variation. CONCLUSIONS: While the ultimate trajectory of selection in these populations is unknown and we survey only a minority of genomic loci, our findings suggest that polygenic models of adaptation may play important roles in large, natural populations experiencing recent selection due to environmental changes that cause broad physiological impacts. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12862-019-1392-5) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-26 /pmc/articles/PMC6390305/ /pubmed/30808292 http://dx.doi.org/10.1186/s12862-019-1392-5 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Dayan, David I.
Du, Xiao
Baris, Tara Z.
Wagner, Dominique N.
Crawford, Douglas L.
Oleksiak, Marjorie F.
Population genomics of rapid evolution in natural populations: polygenic selection in response to power station thermal effluents
title Population genomics of rapid evolution in natural populations: polygenic selection in response to power station thermal effluents
title_full Population genomics of rapid evolution in natural populations: polygenic selection in response to power station thermal effluents
title_fullStr Population genomics of rapid evolution in natural populations: polygenic selection in response to power station thermal effluents
title_full_unstemmed Population genomics of rapid evolution in natural populations: polygenic selection in response to power station thermal effluents
title_short Population genomics of rapid evolution in natural populations: polygenic selection in response to power station thermal effluents
title_sort population genomics of rapid evolution in natural populations: polygenic selection in response to power station thermal effluents
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6390305/
https://www.ncbi.nlm.nih.gov/pubmed/30808292
http://dx.doi.org/10.1186/s12862-019-1392-5
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