Genetic Architecture underlying rosette morphology quantified by Computer Vision:Genotype to phenotype mapping on three Arabidopsis thaliana L. (Heyn) experimental populations

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Student thesis: Doctoral ThesisDoctor of Philosophy

Original languageEnglish
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Award date2018
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Abstract

Arabidopsis thaliana (L.)Heyn is a mostly Eurasian species of Brassicaceae with a rosette habit during the vegetative phase. At preliminary experiments, it has been observed that variation in rosette morphology in the juvenile stage, from seedling to  flowering, is ecotype and environment specific phenotype.
I have examined the genetic basis of rosette architecture putting together whole-rosette high-throughput phenotyping and \phenotype to genotype mapping". Each rosette has been measured for Shape Descriptors derived from Digital Geometry using Computer Vision. Shape Descriptors have been use as traits for Association Mapping (GWAS) and Linkage mapping in three experimental populations: Natural Accessions, Recombinant  Inbred Lines derived of a Cape Verde Island x Argentat cross, and Recombinant Inbred Lines from a Multiparent Advanced Generation Intercross (MAGIC).
GWAS and Linkage mapping found four potential QTLs during an initial scan. From MAGIC fine-mapping population, 41 potential Quantitative Trait Loci were found associated with rosette global architecture. I hypothesized that genes that integrate developmental response to environment (Erecta, PhyB) have influenced the developmental canalization of rosette morphology in juvenile plants.

Documents

  • Moron-Garcia_Odin_Manuel

    Thesis, 70 MB, PDF

    Embargo end date: 05 Mar 2020

    Embargo reason: Seeking Publication

Documents

  • Moron-Garcia_Odin_Manuel

    Thesis, 70 MB, PDF

    Embargo end date: 05 Mar 2020

    Request copy