Multivariate genetic analysis of plant responses to water deficit and high temperature revealed contrasting adaptive strategies.

ABSTRACT: How genetic factors control plant performance under stressful environmental conditions is a central question in ecology and for crop breeding. A multivariate framework was developed to examine the genetic architecture of performance-related traits in response to interacting environmental stresses. Ecophysiological and life history traits were quantified in the Arabidopsis thaliana Ler × Cvi mapping population exposed to constant soil water deficit and high air temperature. The plasticity of the genetic variance-covariance matrix (G-matrix) was examined using mixed-effects models after regression into principal components. Quantitative trait locus (QTL) analysis was performed on the predictors of genotype effects and genotype by environment interactions (G × E). Three QTLs previously identi

SUBMITTER: Vasseur F 

PROVIDER: S-EPMC4246181 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature