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Connecting tree‐ring phenotypes, genetic associations and transcriptomics to decipher the genomic architecture of drought adaptation in a widespread conifer

Claire Depardieu; Sébastien Gérardi; Simon Nadeau; Geneviève J. Parent; John Mackay; Patrick Lenz; Manuel Lamothe; Martin P. Girardin; Jean Bousquet; Nathalie Isabel
Molecular Ecology · Vol. 30, Issue 16 · pp. 3898-3917 · 2021

Abstract

As boreal forests face significant threats from climate change, understanding evolutionary trajectories of coniferous species has become fundamental to adapting management and conservation to a drying climate. We examined the genomic architecture underlying adaptive variation related to drought tolerance in 43 populations of a widespread boreal conifer, white spruce ( Picea glauca [Moench] Voss), by combining genotype–environment associations, genotype–phenotype associations, and transcriptomics. Adaptive genetic variation was identified by correlating allele frequencies for 6,153 single nucleotide polymorphisms from 2,606 candidate genes with temperature, precipitation and aridity gradients, and testing for significant associations between genotypes and 11 dendrometric and drought‐related traits (i.e., anatomical, growth response and climate‐sensitivity traits) using a polygenic model. We identified a set of 285 genes significantly associated with a climatic factor or a phenotypic trait, including 110 that were differentially expressed in response to drought under greenhouse‐controlled conditions. The interlinked phenotype–genotype–environment network revealed eight high‐confidence genes involved in white spruce adaptation to drought, of which four were drought‐responsive in the expression analysis. Our findings represent a significant step toward the characterization of the genomic basis of drought tolerance and adaptation to climate in conifers, which is essential to enable the establishment of resilient forests in view of new climate conditions.

Bibliographic Information

JournalMolecular Ecology
PublisherWiley
Publication Date2021-08-01
Publication Year2021
Volume30
Issue16
Pages3898-3917
Document TypeJournal Article
Print ISSN0962-1083
eISSN1365-294X
DOI10.1111/mec.15846
SubjectEcology & Organismal Biology

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NARA Access Coverage1997-01-01~Current
Journal Homepagehttps://onlinelibrary.wiley.com/loi/1365294X
Publisher PageOpen Publisher Page
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