Connecting tree-ring phenotypes, genetic associations and transcriptomics to decipher the genomic architecture of drought adaptation in a widespread conifer
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 tole...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Journal article |
| Language: | English |
| Published: |
Wiley
2021
|
| _version_ | 1826307880822767616 |
|---|---|
| author | Depardieu, C Gérardi, S Nadeau, S Parent, GJ Mackay, JJ Lenz, P Lamothe, M Girardin, MP Bousquet, J Isabel, N |
| author_facet | Depardieu, C Gérardi, S Nadeau, S Parent, GJ Mackay, JJ Lenz, P Lamothe, M Girardin, MP Bousquet, J Isabel, N |
| author_sort | Depardieu, C |
| collection | OXFORD |
| description | 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. |
| first_indexed | 2024-03-07T07:09:40Z |
| format | Journal article |
| id | oxford-uuid:b9a2221c-4206-4c72-8c95-f4993aea5f8a |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T07:09:40Z |
| publishDate | 2021 |
| publisher | Wiley |
| record_format | dspace |
| spelling | oxford-uuid:b9a2221c-4206-4c72-8c95-f4993aea5f8a2022-06-10T11:05:11ZConnecting tree-ring phenotypes, genetic associations and transcriptomics to decipher the genomic architecture of drought adaptation in a widespread coniferJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:b9a2221c-4206-4c72-8c95-f4993aea5f8aEnglishSymplectic ElementsWiley2021Depardieu, CGérardi, SNadeau, SParent, GJMackay, JJLenz, PLamothe, MGirardin, MPBousquet, JIsabel, NAs 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. |
| spellingShingle | Depardieu, C Gérardi, S Nadeau, S Parent, GJ Mackay, JJ Lenz, P Lamothe, M Girardin, MP Bousquet, J Isabel, N Connecting tree-ring phenotypes, genetic associations and transcriptomics to decipher the genomic architecture of drought adaptation in a widespread conifer |
| title | Connecting tree-ring phenotypes, genetic associations and transcriptomics to decipher the genomic architecture of drought adaptation in a widespread conifer |
| title_full | Connecting tree-ring phenotypes, genetic associations and transcriptomics to decipher the genomic architecture of drought adaptation in a widespread conifer |
| title_fullStr | Connecting tree-ring phenotypes, genetic associations and transcriptomics to decipher the genomic architecture of drought adaptation in a widespread conifer |
| title_full_unstemmed | Connecting tree-ring phenotypes, genetic associations and transcriptomics to decipher the genomic architecture of drought adaptation in a widespread conifer |
| title_short | Connecting tree-ring phenotypes, genetic associations and transcriptomics to decipher the genomic architecture of drought adaptation in a widespread conifer |
| title_sort | connecting tree ring phenotypes genetic associations and transcriptomics to decipher the genomic architecture of drought adaptation in a widespread conifer |
| work_keys_str_mv | AT depardieuc connectingtreeringphenotypesgeneticassociationsandtranscriptomicstodecipherthegenomicarchitectureofdroughtadaptationinawidespreadconifer AT gerardis connectingtreeringphenotypesgeneticassociationsandtranscriptomicstodecipherthegenomicarchitectureofdroughtadaptationinawidespreadconifer AT nadeaus connectingtreeringphenotypesgeneticassociationsandtranscriptomicstodecipherthegenomicarchitectureofdroughtadaptationinawidespreadconifer AT parentgj connectingtreeringphenotypesgeneticassociationsandtranscriptomicstodecipherthegenomicarchitectureofdroughtadaptationinawidespreadconifer AT mackayjj connectingtreeringphenotypesgeneticassociationsandtranscriptomicstodecipherthegenomicarchitectureofdroughtadaptationinawidespreadconifer AT lenzp connectingtreeringphenotypesgeneticassociationsandtranscriptomicstodecipherthegenomicarchitectureofdroughtadaptationinawidespreadconifer AT lamothem connectingtreeringphenotypesgeneticassociationsandtranscriptomicstodecipherthegenomicarchitectureofdroughtadaptationinawidespreadconifer AT girardinmp connectingtreeringphenotypesgeneticassociationsandtranscriptomicstodecipherthegenomicarchitectureofdroughtadaptationinawidespreadconifer AT bousquetj connectingtreeringphenotypesgeneticassociationsandtranscriptomicstodecipherthegenomicarchitectureofdroughtadaptationinawidespreadconifer AT isabeln connectingtreeringphenotypesgeneticassociationsandtranscriptomicstodecipherthegenomicarchitectureofdroughtadaptationinawidespreadconifer |