Selective Sweeps and Polygenic Adaptation Drive Local Adaptation along Moisture and Temperature Gradients in Natural Populations of Coast Redwood and Giant Sequoia

Dissecting the genomic basis of local adaptation is a major goal in evolutionary biology and conservation science. Rapid changes in the climate pose significant challenges to the survival of natural populations, and the genomic basis of long-generation plant species is still poorly understood. Here,...

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Autores principales:	Amanda R. De La Torre, Manoj K. Sekhwal, David B. Neale
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	selective sweeps polygenic adaptation GEA climate adaptation <i>Sequoiadendron giganteum</i> <i>Sequoia sempervirens</i> Genetics QH426-470
Acceso en línea:	https://doaj.org/article/f047959bfbd641d794903062ca5f834a
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spelling	oai:doaj.org-article:f047959bfbd641d794903062ca5f834a2021-11-25T17:42:26ZSelective Sweeps and Polygenic Adaptation Drive Local Adaptation along Moisture and Temperature Gradients in Natural Populations of Coast Redwood and Giant Sequoia10.3390/genes121118262073-4425https://doaj.org/article/f047959bfbd641d794903062ca5f834a2021-11-01T00:00:00Zhttps://www.mdpi.com/2073-4425/12/11/1826https://doaj.org/toc/2073-4425Dissecting the genomic basis of local adaptation is a major goal in evolutionary biology and conservation science. Rapid changes in the climate pose significant challenges to the survival of natural populations, and the genomic basis of long-generation plant species is still poorly understood. Here, we investigated genome-wide climate adaptation in giant sequoia and coast redwood, two iconic and ecologically important tree species. We used a combination of univariate and multivariate genotype–environment association methods and a selective sweep analysis using non-overlapping sliding windows. We identified genomic regions of potential adaptive importance, showing strong associations to moisture variables and mean annual temperature. Our results found a complex architecture of climate adaptation in the species, with genomic regions showing signatures of selective sweeps, polygenic adaptation, or a combination of both, suggesting recent or ongoing climate adaptation along moisture and temperature gradients in giant sequoia and coast redwood. The results of this study provide a first step toward identifying genomic regions of adaptive significance in the species and will provide information to guide management and conservation strategies that seek to maximize adaptive potential in the face of climate change.Amanda R. De La TorreManoj K. SekhwalDavid B. NealeMDPI AGarticleselective sweepspolygenic adaptationGEAclimate adaptation<i>Sequoiadendron giganteum</i><i>Sequoia sempervirens</i>GeneticsQH426-470ENGenes, Vol 12, Iss 1826, p 1826 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	selective sweeps polygenic adaptation GEA climate adaptation <i>Sequoiadendron giganteum</i> <i>Sequoia sempervirens</i> Genetics QH426-470
spellingShingle	selective sweeps polygenic adaptation GEA climate adaptation <i>Sequoiadendron giganteum</i> <i>Sequoia sempervirens</i> Genetics QH426-470 Amanda R. De La Torre Manoj K. Sekhwal David B. Neale Selective Sweeps and Polygenic Adaptation Drive Local Adaptation along Moisture and Temperature Gradients in Natural Populations of Coast Redwood and Giant Sequoia
description	Dissecting the genomic basis of local adaptation is a major goal in evolutionary biology and conservation science. Rapid changes in the climate pose significant challenges to the survival of natural populations, and the genomic basis of long-generation plant species is still poorly understood. Here, we investigated genome-wide climate adaptation in giant sequoia and coast redwood, two iconic and ecologically important tree species. We used a combination of univariate and multivariate genotype–environment association methods and a selective sweep analysis using non-overlapping sliding windows. We identified genomic regions of potential adaptive importance, showing strong associations to moisture variables and mean annual temperature. Our results found a complex architecture of climate adaptation in the species, with genomic regions showing signatures of selective sweeps, polygenic adaptation, or a combination of both, suggesting recent or ongoing climate adaptation along moisture and temperature gradients in giant sequoia and coast redwood. The results of this study provide a first step toward identifying genomic regions of adaptive significance in the species and will provide information to guide management and conservation strategies that seek to maximize adaptive potential in the face of climate change.
format	article
author	Amanda R. De La Torre Manoj K. Sekhwal David B. Neale
author_facet	Amanda R. De La Torre Manoj K. Sekhwal David B. Neale
author_sort	Amanda R. De La Torre
title	Selective Sweeps and Polygenic Adaptation Drive Local Adaptation along Moisture and Temperature Gradients in Natural Populations of Coast Redwood and Giant Sequoia
title_short	Selective Sweeps and Polygenic Adaptation Drive Local Adaptation along Moisture and Temperature Gradients in Natural Populations of Coast Redwood and Giant Sequoia
title_full	Selective Sweeps and Polygenic Adaptation Drive Local Adaptation along Moisture and Temperature Gradients in Natural Populations of Coast Redwood and Giant Sequoia
title_fullStr	Selective Sweeps and Polygenic Adaptation Drive Local Adaptation along Moisture and Temperature Gradients in Natural Populations of Coast Redwood and Giant Sequoia
title_full_unstemmed	Selective Sweeps and Polygenic Adaptation Drive Local Adaptation along Moisture and Temperature Gradients in Natural Populations of Coast Redwood and Giant Sequoia
title_sort	selective sweeps and polygenic adaptation drive local adaptation along moisture and temperature gradients in natural populations of coast redwood and giant sequoia
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/f047959bfbd641d794903062ca5f834a
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Selective Sweeps and Polygenic Adaptation Drive Local Adaptation along Moisture and Temperature Gradients in Natural Populations of Coast Redwood and Giant Sequoia

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