Detecting functional groups of Arabidopsis mutants by metabolic profiling and evaluation of pleiotropic responses.

ABSTRACT: Metabolic profiles and fingerprints of Arabidopsis thaliana plants with various defects in plastidic sugar metabolism or photosynthesis were analyzed to elucidate if the genetic mutations can be traced by comparing their metabolic status. Using a platform of chromatographic and spectrometric tools data from untargeted full MS scans as well as from selected metabolites including major carbohydrates, phosphorylated intermediates, carboxylates, free amino acids, major antioxidants, and plastidic pigments were evaluated. Our key observations are that by multivariate statistical analysis each mutant can be separated by a unique metabolic signature. Closely related mutants come close. Thus metabolic profiles of sugar mutants are different but more similar than those of photosynthesis mutants. Al

SUBMITTER: Hofmann J 

PROVIDER: S-EPMC3355665 | biostudies-literature | 2011

REPOSITORIES: biostudies-literature