Metabolite profiling for plant functional genomics View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2000-11

AUTHORS

O Fiehn, J Kopka, P Dörmann, T Altmann, R N Trethewey, L Willmitzer

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. More... »

PAGES

1157-1161

References to SciGraph publications

Journal

TITLE

Nature Biotechnology

ISSUE

11

VOLUME

18

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/81137

    DOI

    http://dx.doi.org/10.1038/81137

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1045090002

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/11062433


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