| | |  | | | | Record from Web of Science® | | | | | | |
| Metabolite profiling for plant functional genomics |
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| Author(s): Fiehn O, Kopka J, Dormann P, Altmann T, Trethewey RN, Willmitzer L |
| Source: NATURE BIOTECHNOLOGY Volume: 18 Issue: 11 Pages: 1157-1161 Published: NOV 2000 |
| Times Cited: 583 References: 22 |
| Abstract: Multiparallel analyses of mRNA and proteins are central to today's functional genomics initiatives. We describe here the use of metabolite profiling as a new tool for a comparative display of gene function. It has the potential not only to provide deeper insight into complex regulatory processes but also to determine phenotype directly. Using gas chromatography/mass spectrometry (GC/MS), we automatically quantified 326 distinct compounds from Arabidopsis thaliana leaf extracts. It was possible to assign a chemical structure to approximately half of these compounds. Comparison of four Arabidopsis genotypes (two homozygous ecotypes and a mutant of each ecotype) showed that each genotype possesses a distinct metabolic profile. Data mining tools such as principal component analysis enabled the assignment of "metabolic phenotypes" using these large data sets. The metabolic phenotypes of the two ecotypes were more divergent than were the metabolic phenotypes of the single-loci mutant and their parental ecotypes. These results demonstrate the use of metabolite profiling as a tool to significantly extend and enhance the power of existing functional genomics approaches. |
| Document Type: Article |
| Language: English |
| Reprint Address: Fiehn, O (reprint author), Max Planck Inst Mol Plant Physiol, D-14424 Potsdam, Germany |
Addresses:
1. Max Planck Inst Mol Plant Physiol, D-14424 Potsdam, Germany
2. Metan GmbH & Co KGaA, D-10589 Berlin, Germany |
| Publisher: NATURE AMERICA INC, 345 PARK AVE SOUTH, NEW YORK, NY 10010-1707 USA |
| Subject Category: Biotechnology & Applied Microbiology |
| IDS Number: 371JV |
| ISSN: 1087-0156 |
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| | | | | | | | | Record from Web of Science® | | | | | | | | | |