| Literature DB >> 17360597 |
Rhonda C Meyer1, Matthias Steinfath, Jan Lisec, Martina Becher, Hanna Witucka-Wall, Ottó Törjék, Oliver Fiehn, Anne Eckardt, Lothar Willmitzer, Joachim Selbig, Thomas Altmann.
Abstract
The decline of available fossil fuel reserves has triggered world-wide efforts to develop alternative energy sources based on plant biomass. Detailed knowledge of the relations of metabolism and biomass accumulation can be expected to yield powerful novel tools to accelerate and enhance energy plant breeding programs. We used metabolic profiling in the model Arabidopsis to study the relation between biomass and metabolic composition using a recombinant inbred line (RIL) population. A highly significant canonical correlation (0.73) was observed, revealing a close link between biomass and a specific combination of metabolites. Dividing the entire data set into training and test sets resulted in a median correlation between predicted and true biomass of 0.58. The demonstrated high predictive power of metabolic composition for biomass features this composite measure as an excellent biomarker and opens new opportunities to enhance plant breeding specifically in the context of renewable resources.Entities:
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Year: 2007 PMID： 17360597 PMCID： PMC1810331 DOI： 10.1073/pnas.0609709104
Source DB: PubMed Journal: Proc Natl Acad Sci U S A ISSN： 0027-8424 Impact factor: 11.205