Laoué2020

Référence

Laoué, J. (2020) Cartographie de QTLs et analyse transcriptomique : identification de gènes candidats impliqués dans la synthèse des composés phénoliques chez l’épinette blanche. Mémoire de maîtrise, Université Laval. (URL )

Résumé

Climate change is increasing the biotic and abiotic stresses faced by forest trees, altering the environment in which they evolve during their lifetime. It is therefore necessary to better understand and mitigate the impact of these stresses in order to preserve the health of forests and maintain their productivity. Phenolic compounds represent a major class of secondary metabolites involved in defense mechanisms in plants. Previous studies have shown that some of these compounds play an important role in the responses to biotic and abiotic stresses in conifers (Hammerbacher et al., 2014; Warren et al., 2015). In this study, we took advantage of the many genomic resources developed in white spruce in order to study the genomic bases of the constitutive production of phenolic compounds in this species. First, we performed QTL (Quantitative Trait Locus) mapping for nine phenolic compounds in two separate years, using a biparental white spruce progeny. This analysis identified 17 significant QTLs, including a major effect QTL explaining 91.3% of the phenotypic variance in neolignans. We then used an RNA-seq approach to identify differentially expressed genes (DEGs) among individuals with contrasting phenolic content (high or low concentrations of phenolic compounds), for five metabolites for which significant QTLs had been detected in both years of measurement. Overall, 603 DEGs were identified, of which 50 were directly related to the biosynthetic pathway of phenolic compounds. In conclusion, this study generated new knowledge regarding the genetic basis of biotic and abiotic stress responses in white spruce. This new knowledge can now be used to select trees with increased resilience to environmental stress within the framework of genetic improvement programs for conifers.

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@MASTERSTHESIS { Laoué2020,
    TITLE = { Cartographie de QTLs et analyse transcriptomique : identification de gènes candidats impliqués dans la synthèse des composés phénoliques chez l’épinette blanche },
    AUTHOR = { Laoué, J. },
    SCHOOL = { Université Laval },
    YEAR = { 2020 },
    NOTE = { CEFTMS, Bousquet, J. and Isabel, N. },
    ABSTRACT = { Climate change is increasing the biotic and abiotic stresses faced by forest trees, altering the environment in which they evolve during their lifetime. It is therefore necessary to better understand and mitigate the impact of these stresses in order to preserve the health of forests and maintain their productivity. Phenolic compounds represent a major class of secondary metabolites involved in defense mechanisms in plants. Previous studies have shown that some of these compounds play an important role in the responses to biotic and abiotic stresses in conifers (Hammerbacher et al., 2014; Warren et al., 2015). In this study, we took advantage of the many genomic resources developed in white spruce in order to study the genomic bases of the constitutive production of phenolic compounds in this species. First, we performed QTL (Quantitative Trait Locus) mapping for nine phenolic compounds in two separate years, using a biparental white spruce progeny. This analysis identified 17 significant QTLs, including a major effect QTL explaining 91.3% of the phenotypic variance in neolignans. We then used an RNA-seq approach to identify differentially expressed genes (DEGs) among individuals with contrasting phenolic content (high or low concentrations of phenolic compounds), for five metabolites for which significant QTLs had been detected in both years of measurement. Overall, 603 DEGs were identified, of which 50 were directly related to the biosynthetic pathway of phenolic compounds. In conclusion, this study generated new knowledge regarding the genetic basis of biotic and abiotic stress responses in white spruce. This new knowledge can now be used to select trees with increased resilience to environmental stress within the framework of genetic improvement programs for conifers. },
    URL = { https://corpus.ulaval.ca/jspui/handle/20.500.11794/66604 },
    TIMESTAMP = { 2021-02-16 },
}

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