LaoueDepardieuGerardiEtAl2021

Référence

Laoué, J., Depardieu, C., Gérardi, S., Lamothe, M., Bomal, C., Azaiez, A., Gros-Louis, M.-C., Laroche, J., Boyle, B., Hammerbacher, A., Isabel, N., Bousquet, J. (2021) Combining QTL Mapping and Transcriptomics to Decipher the Genetic Architecture of Phenolic Compounds Metabolism in the Conifer White Spruce. Frontiers in Plant Science, 12. (Scopus )

Résumé

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. © Copyright © 2021 Laoué, Depardieu, Gérardi, Lamothe, Bomal, Azaiez, Gros-Louis, Laroche, Boyle, Hammerbacher, Isabel and Bousquet.

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@ARTICLE { LaoueDepardieuGerardiEtAl2021,
    AUTHOR = { Laoué, J. and Depardieu, C. and Gérardi, S. and Lamothe, M. and Bomal, C. and Azaiez, A. and Gros-Louis, M.-C. and Laroche, J. and Boyle, B. and Hammerbacher, A. and Isabel, N. and Bousquet, J. },
    JOURNAL = { Frontiers in Plant Science },
    TITLE = { Combining QTL Mapping and Transcriptomics to Decipher the Genetic Architecture of Phenolic Compounds Metabolism in the Conifer White Spruce },
    YEAR = { 2021 },
    NOTE = { cited By 0 },
    VOLUME = { 12 },
    ABSTRACT = { 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. © Copyright © 2021 Laoué, Depardieu, Gérardi, Lamothe, Bomal, Azaiez, Gros-Louis, Laroche, Boyle, Hammerbacher, Isabel and Bousquet. },
    AFFILIATION = { Canada Research Chair in Forest Genomics, Centre for Forest Research and Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada; Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Québec, QC, Canada; Institute for Systems and Integrative Biology, Université Laval, Québec, QC, Canada; Department of Zoology, Entomology, Forestry and Agricultural Biotechnology Institute, University of Pretoria, Pretoria, South Africa },
    ART_NUMBER = { 675108 },
    AUTHOR_KEYWORDS = { co-regulation; conifers; metabolites; phenolic compounds; Picea glauca; QTL; RNA-Seq },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.3389/fpls.2021.675108 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107022636&doi=10.3389%2ffpls.2021.675108&partnerID=40&md5=ebb568922490ee4108bf0ab38c52027c },
}

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