Potential of metabolomics as a functional genomics tool

Authors Organisations
  • Raoul J. Bino(Author)
    Wageningen University and Research Centre
    Plant Research International B. V.
    Centre for BioSystems Genomics
  • Robert D. Hall(Author)
    Plant Research International B. V.
    Centre for BioSystems Genomics
  • Oliver Fiehn(Author)
    Max-Planck-Institute for Molecular Plant Physiology
  • Joachim Kopka(Author)
    Max Planck Institute, Golm
  • Kazuki Saito(Author)
    Chiba University
  • John Draper(Author)
  • Basil J. Nikolau(Author)
    Iowa State University of Science and Technology
  • Pedro Mendes(Author)
    Virginia Tech
  • Ute Roessner-Tunali(Author)
    The University of Melbourne
  • Michael H. Beale(Author)
    Rothamsted Research
  • Richard N. Trethewey(Author)
    Metanomics GmbH & Co KGaA
  • B. Markus Lange(Author)
    Washington State University
  • Eve Syrkin Wurtele(Author)
    Iowa State University of Science and Technology
  • Lloyd W. Sumner(Author)
    The Samuel Roberts Noble Foundation
Type Article
Original languageEnglish
Pages (from-to)418-425
Number of pages8
JournalTrends in Plant Science
Issue number9
Early online date07 Aug 2004
Publication statusPublished - Sept 2004
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Metabolomics is developing as an important functional genomics tool; however, there is still room for technical improvements in both the large-scale determination of metabolites from complex plant tissues and the dissemination of metabolomics research data. For the continued maturation of metabolomics, the following three objectives need to be achieved: (i) improvement in the comprehensive coverage of the plant metabolome, (ii) facilitation of comparison of results between laboratories and experiments, and (iii) enhancement of the integration of metabolomic data with other functional genomic information. Because these challenges are widely recognized and endorsed, we propose community-based efforts to define common criteria and to initiate concerted actions directed towards the release of standard reference materials, construction of consolidated metabolite libraries, and development of metabolite-specific data-management systems.