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...
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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 |
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