Combining QTL Mapping and Transcriptomics to Decipher the Genetic Architecture of Phenolic Compounds Metabolism in the Conifer White Spruce

Conifer forests worldwide are becoming increasingly vulnerable to the effects of climate change. Although the production of phenolic compounds (PCs) has been shown to be modulated by biotic and abiotic stresses, the genetic basis underlying the variation in their constitutive production level remain...

Full description

Bibliographic Details
Main Authors: Justine Laoué, Claire Depardieu, Sébastien Gérardi, Manuel Lamothe, Claude Bomal, Aïda Azaiez, Marie-Claude Gros-Louis, Jérôme Laroche, Brian Boyle, Almuth Hammerbacher, Nathalie Isabel, Jean Bousquet
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-05-01
Series:Frontiers in Plant Science
Subjects:
QTL
Online Access:https://www.frontiersin.org/articles/10.3389/fpls.2021.675108/full
id doaj-c041fc0bc1a347c4ba19a4d2a6a3ac24
record_format Article
spelling doaj-c041fc0bc1a347c4ba19a4d2a6a3ac242021-05-17T15:20:47ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2021-05-011210.3389/fpls.2021.675108675108Combining QTL Mapping and Transcriptomics to Decipher the Genetic Architecture of Phenolic Compounds Metabolism in the Conifer White SpruceJustine Laoué0Claire Depardieu1Claire Depardieu2Sébastien Gérardi3Manuel Lamothe4Claude Bomal5Aïda Azaiez6Marie-Claude Gros-Louis7Jérôme Laroche8Brian Boyle9Almuth Hammerbacher10Nathalie Isabel11Nathalie Isabel12Jean Bousquet13Canada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, CanadaCanada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, CanadaNatural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, QC, CanadaCanada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, CanadaNatural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, QC, CanadaNatural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, QC, CanadaCanada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, CanadaNatural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, QC, CanadaInstitute for Systems and Integrative Biology, Université Laval, Québec, QC, CanadaInstitute for Systems and Integrative Biology, Université Laval, Québec, QC, CanadaDepartment of Zoology, Entomology, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South AfricaCanada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, CanadaNatural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, QC, CanadaCanada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, CanadaConifer forests worldwide are becoming increasingly vulnerable to the effects of climate change. Although the production of phenolic compounds (PCs) has been shown to be modulated by biotic and abiotic stresses, the genetic basis underlying the variation in their constitutive production level remains poorly documented in conifers. We used QTL mapping and RNA-Seq to explore the complex polygenic network underlying the constitutive production of PCs in a white spruce (Picea glauca) full-sib family for 2 years. QTL detection was performed for nine PCs and differentially expressed genes (DEGs) were identified between individuals with high and low PC contents for five PCs exhibiting stable QTLs across time. A total of 17 QTLs were detected for eight metabolites, including one major QTL explaining up to 91.3% of the neolignan-2 variance. The RNA-Seq analysis highlighted 50 DEGs associated with phenylpropanoid biosynthesis, several key transcription factors, and a subset of 137 genes showing opposite expression patterns in individuals with high levels of the flavonoids gallocatechin and taxifolin glucoside. A total of 19 DEGs co-localized with QTLs. Our findings represent a significant step toward resolving the genomic architecture of PC production in spruce and facilitate the functional characterization of genes and transcriptional networks responsible for differences in constitutive production of PCs in conifers.https://www.frontiersin.org/articles/10.3389/fpls.2021.675108/fullconifersphenolic compoundsPicea glaucametabolitesQTLRNA-Seq
collection DOAJ
language English
format Article
sources DOAJ
author Justine Laoué
Claire Depardieu
Claire Depardieu
Sébastien Gérardi
Manuel Lamothe
Claude Bomal
Aïda Azaiez
Marie-Claude Gros-Louis
Jérôme Laroche
Brian Boyle
Almuth Hammerbacher
Nathalie Isabel
Nathalie Isabel
Jean Bousquet
spellingShingle Justine Laoué
Claire Depardieu
Claire Depardieu
Sébastien Gérardi
Manuel Lamothe
Claude Bomal
Aïda Azaiez
Marie-Claude Gros-Louis
Jérôme Laroche
Brian Boyle
Almuth Hammerbacher
Nathalie Isabel
Nathalie Isabel
Jean Bousquet
Combining QTL Mapping and Transcriptomics to Decipher the Genetic Architecture of Phenolic Compounds Metabolism in the Conifer White Spruce
Frontiers in Plant Science
conifers
phenolic compounds
Picea glauca
metabolites
QTL
RNA-Seq
author_facet Justine Laoué
Claire Depardieu
Claire Depardieu
Sébastien Gérardi
Manuel Lamothe
Claude Bomal
Aïda Azaiez
Marie-Claude Gros-Louis
Jérôme Laroche
Brian Boyle
Almuth Hammerbacher
Nathalie Isabel
Nathalie Isabel
Jean Bousquet
author_sort Justine Laoué
title Combining QTL Mapping and Transcriptomics to Decipher the Genetic Architecture of Phenolic Compounds Metabolism in the Conifer White Spruce
title_short Combining QTL Mapping and Transcriptomics to Decipher the Genetic Architecture of Phenolic Compounds Metabolism in the Conifer White Spruce
title_full Combining QTL Mapping and Transcriptomics to Decipher the Genetic Architecture of Phenolic Compounds Metabolism in the Conifer White Spruce
title_fullStr Combining QTL Mapping and Transcriptomics to Decipher the Genetic Architecture of Phenolic Compounds Metabolism in the Conifer White Spruce
title_full_unstemmed Combining QTL Mapping and Transcriptomics to Decipher the Genetic Architecture of Phenolic Compounds Metabolism in the Conifer White Spruce
title_sort combining qtl mapping and transcriptomics to decipher the genetic architecture of phenolic compounds metabolism in the conifer white spruce
publisher Frontiers Media S.A.
series Frontiers in Plant Science
issn 1664-462X
publishDate 2021-05-01
description Conifer forests worldwide are becoming increasingly vulnerable to the effects of climate change. Although the production of phenolic compounds (PCs) has been shown to be modulated by biotic and abiotic stresses, the genetic basis underlying the variation in their constitutive production level remains poorly documented in conifers. We used QTL mapping and RNA-Seq to explore the complex polygenic network underlying the constitutive production of PCs in a white spruce (Picea glauca) full-sib family for 2 years. QTL detection was performed for nine PCs and differentially expressed genes (DEGs) were identified between individuals with high and low PC contents for five PCs exhibiting stable QTLs across time. A total of 17 QTLs were detected for eight metabolites, including one major QTL explaining up to 91.3% of the neolignan-2 variance. The RNA-Seq analysis highlighted 50 DEGs associated with phenylpropanoid biosynthesis, several key transcription factors, and a subset of 137 genes showing opposite expression patterns in individuals with high levels of the flavonoids gallocatechin and taxifolin glucoside. A total of 19 DEGs co-localized with QTLs. Our findings represent a significant step toward resolving the genomic architecture of PC production in spruce and facilitate the functional characterization of genes and transcriptional networks responsible for differences in constitutive production of PCs in conifers.
topic conifers
phenolic compounds
Picea glauca
metabolites
QTL
RNA-Seq
url https://www.frontiersin.org/articles/10.3389/fpls.2021.675108/full
work_keys_str_mv AT justinelaoue combiningqtlmappingandtranscriptomicstodecipherthegeneticarchitectureofphenoliccompoundsmetabolismintheconiferwhitespruce
AT clairedepardieu combiningqtlmappingandtranscriptomicstodecipherthegeneticarchitectureofphenoliccompoundsmetabolismintheconiferwhitespruce
AT clairedepardieu combiningqtlmappingandtranscriptomicstodecipherthegeneticarchitectureofphenoliccompoundsmetabolismintheconiferwhitespruce
AT sebastiengerardi combiningqtlmappingandtranscriptomicstodecipherthegeneticarchitectureofphenoliccompoundsmetabolismintheconiferwhitespruce
AT manuellamothe combiningqtlmappingandtranscriptomicstodecipherthegeneticarchitectureofphenoliccompoundsmetabolismintheconiferwhitespruce
AT claudebomal combiningqtlmappingandtranscriptomicstodecipherthegeneticarchitectureofphenoliccompoundsmetabolismintheconiferwhitespruce
AT aidaazaiez combiningqtlmappingandtranscriptomicstodecipherthegeneticarchitectureofphenoliccompoundsmetabolismintheconiferwhitespruce
AT marieclaudegroslouis combiningqtlmappingandtranscriptomicstodecipherthegeneticarchitectureofphenoliccompoundsmetabolismintheconiferwhitespruce
AT jeromelaroche combiningqtlmappingandtranscriptomicstodecipherthegeneticarchitectureofphenoliccompoundsmetabolismintheconiferwhitespruce
AT brianboyle combiningqtlmappingandtranscriptomicstodecipherthegeneticarchitectureofphenoliccompoundsmetabolismintheconiferwhitespruce
AT almuthhammerbacher combiningqtlmappingandtranscriptomicstodecipherthegeneticarchitectureofphenoliccompoundsmetabolismintheconiferwhitespruce
AT nathalieisabel combiningqtlmappingandtranscriptomicstodecipherthegeneticarchitectureofphenoliccompoundsmetabolismintheconiferwhitespruce
AT nathalieisabel combiningqtlmappingandtranscriptomicstodecipherthegeneticarchitectureofphenoliccompoundsmetabolismintheconiferwhitespruce
AT jeanbousquet combiningqtlmappingandtranscriptomicstodecipherthegeneticarchitectureofphenoliccompoundsmetabolismintheconiferwhitespruce
_version_ 1721438191865561088