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

De La Torre, Amanda R.; Sekhwal, Manoj K.; Neale, David B.

doi:10.3390/genes12111826

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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

Amanda R. De La Torre

^1,*

Manoj K. Sekhwal

¹ and

David B. Neale

^2,*

School of Forestry, Northern Arizona University, 200 E. Pine Knoll, Flagstaff, AZ 86011, USA

Department of Plant Sciences, University of California-Davis, One Shields Avenue, Davis, CA 95616, USA

Authors to whom correspondence should be addressed.

Academic Editor: Sebastián E. Ramos-Onsins

Genes 2021, 12(11), 1826; https://doi.org/10.3390/genes12111826

Received: 23 September 2021 / Revised: 18 November 2021 / Accepted: 18 November 2021 / Published: 19 November 2021

(This article belongs to the Special Issue Polygenic Adaptation)

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Abstract

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. View Full-Text

Keywords: selective sweeps; polygenic adaptation; GEA; climate adaptation; Sequoiadendron giganteum; Sequoia sempervirens

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De La Torre, A.R.; Sekhwal, M.K.; Neale, D.B. Selective Sweeps and Polygenic Adaptation Drive Local Adaptation along Moisture and Temperature Gradients in Natural Populations of Coast Redwood and Giant Sequoia. Genes 2021, 12, 1826. https://doi.org/10.3390/genes12111826

AMA Style

De La Torre AR, Sekhwal MK, Neale DB. Selective Sweeps and Polygenic Adaptation Drive Local Adaptation along Moisture and Temperature Gradients in Natural Populations of Coast Redwood and Giant Sequoia. Genes. 2021; 12(11):1826. https://doi.org/10.3390/genes12111826

Chicago/Turabian Style

De La Torre, Amanda R., Manoj K. Sekhwal, and David B. Neale. 2021. "Selective Sweeps and Polygenic Adaptation Drive Local Adaptation along Moisture and Temperature Gradients in Natural Populations of Coast Redwood and Giant Sequoia" Genes 12, no. 11: 1826. https://doi.org/10.3390/genes12111826

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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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