title: Genome-Wide Association Mapping of Root Traits in the Context of Plant Hormone Research.
abstract: Genome-wide association (GWA) mapping is a powerful method for the identification of alleles that underlie quantitative traits. It enables one to understand how genetic variation translates into phenotypic variation. In particular, plant hormone signaling pathways play a key role in shaping phenotypes. This chapter presents a protocol for genome-wide association mapping of root traits of Arabidopsis thaliana in the context of hormone research. We describe a specific protocol for acquiring primary and lateral root trait data that is appropriate for GWA studies using FIJI (ImageJ), and subsequent GWA mapping using a user-friendly Internet application.
authors.affiliation: Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), Dr. Bohr-Gasse 3, 1030, Vienna, Austria.
authors.forename: Daniela
authors.initials: D
authors.lastname: Ristova
authors.affiliation: Gregor Mendel Institute (GMI), Austrian Academy of Sciences, Vienna Biocenter (VBC), Dr. Bohr-Gasse 3, 1030, Vienna, Austria. wolfgang.busch@gmi.oeaw.ac.at.
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Busch
mesh_terms: D017360:Arabidopsis / Q000235:genetics*; D002874:Chromosome Mapping / Q000379:methods; D014644:Genetic Variation / Q000235:genetics; D055106:Genome-Wide Association Study / Q000379:methods; D010641:Phenotype; D010937:Plant Growth Regulators / Q000235:genetics*; D018517:Plant Roots / Q000235:genetics*; D040641:Quantitative Trait Loci / Q000235:genetics*
chemical_list: D010937:Plant Growth Regulators
keywords: GWAS; Hormones; Natural variation; Phenotyping; Root development