Detecting functional groups of Arabidopsis mutants by metabolic profiling and evaluation of pleiotropic responses
Hofmann J, Börnke F, Schmiedl A, Kleine T, Sonnewald U (2011)
Publication Status: Published
Publication Type: Journal article
Publication year: 2011
Journal
Publisher: FRONTIERS RESEARCH FOUNDATION
Book Volume: 2
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. All mutants show pleiotropic responses mirrored in their metabolic status. These pleiotropic responses are typical and can be used for separating and grouping of the mutants. Our findings show that metabolite fingerprints can be taken to classify mutants and hence may be used to sort genes into functional groups.
Authors with CRIS profile
Jörg Hofmann
Lehrstuhl für Biochemie
Frederik Börnke
Lehrstuhl für Biochemie
Alfred Schmiedl
Lehrstuhl für Biochemie
Uwe Sonnewald
Lehrstuhl für Biochemie
Involved external institutions
Germany (DE)How to cite
APA:
Hofmann, J., Börnke, F., Schmiedl, A., Kleine, T., & Sonnewald, U. (2011). Detecting functional groups of Arabidopsis mutants by metabolic profiling and evaluation of pleiotropic responses. Frontiers in Plant Science, 2. https://doi.org/10.3389/fpls.2011.00082
MLA:
Hofmann, Jörg, et al. "Detecting functional groups of Arabidopsis mutants by metabolic profiling and evaluation of pleiotropic responses." Frontiers in Plant Science 2 (2011).
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