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Master thesis

Détection de QTL et intégration d’information génomique au sein d’un pedigree complexe de peuplier noir (Populus nigra L.)

Abstract : A quantitative trait locus (QTL) analysis designed for a multi-parent population was carried out in black poplar (Populus nigra L.). The factorial mating design used here contains 6 parents and 8 families for a total of 261 offsprings. A consensus genetic map was produced based on the physical map with the cM/pb ratio. A total of 9 traits were investigated using the pedigree-based analysis (PBA) approach under a Bayesian framework using a software FlexQTL™. A set of 37 QTLs involved in 9 quantitative phenotypic traits was identified and 2 to 7 QTL were detected per trait. These QTLs accounted for up to 59% of the additive variance for the branche angle. After this analysis, the gene under the QTLs were extracted from the Populus trichocarpa database reference genome. Those genes were entered and analysed into Pathway Studio® database to create a gene network. This network helps to determine which biological function are under the QTLs. The functions uncovered are consistent with traits analysed.
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https://hal.inrae.fr/hal-03170919
Contributor : Brigitte Viguier <>
Submitted on : Tuesday, March 16, 2021 - 3:22:33 PM
Last modification on : Wednesday, March 17, 2021 - 3:39:43 AM

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Christopher Mangel. Détection de QTL et intégration d’information génomique au sein d’un pedigree complexe de peuplier noir (Populus nigra L.). Sylviculture, foresterie. 2016. ⟨hal-03170919⟩

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