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JXB Advance Access published online on June 18, 2004
Journal of Experimental Botany, doi:10.1093/jxb/erh177
© 2004 by Oxford University Press
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Received January 28, 2004; accepted March 26, 2004
© 2004 Society for Experimental Biology

Sulphur Metabolism Special Issue Article

Towards dissecting nutrient metabolism in plants: a systems biology case study on sulphur metabolism

Victoria J. Nikiforova 1, Bertrand Gakière 2, Stefan Kempa 2, Monika Adamik 2, Lothar Willmitzer 2, Holger Hesse 2, and Rainer Hoefgen 2*

1 Max-Planck-Institut für Molekulare Pflanzenphysiologie, Department of Molecular Physiology, Am Mühlenberg 1, D-14476 Golm, Germany; Timiryazev Institute of Plant Physiology, Russian Academy of Sciences, Botanicheskaya Str. 35, Moscow 127276, Russia
2 Max-Planck-Institut für Molekulare Pflanzenphysiologie, Department of Molecular Physiology, Am Mühlenberg 1, D-14476 Golm, Germany

* To whom correspondence should be addressed. E-mail: hoefgen{at}mpimp-golm.mpg.de.


  Abstract

A genomics analysis on sulphur metabolism has been conducted at the level of transcriptomics and metabolomics. The analysis of these data after applying bioinformatic tools is to reveal novel findings. The findings are discussed and the knowledge obtained from comparable analyses on sulphur metabolism and other plant nutrient genomic studies is reviewed. The analysis of the response of the transcriptome and metabolome to sulphur deprivation in the growth medium provides a tool set for the analysis of comparable genomics studies of other nutrients. The goal of this ‘sulphobolomics’ (i.e. sulphur genomics and metabolome analysis) approach, and of other investigations, is to describe in a holistic way the biochemical, molecular, and physiological response of a plant to nutrient starvation, here sulphate, or, more generally, to alterations and imbalances in nutrient availability. Eventually, this analysis will provide a case study for a systems biology approach.

Keywords: Bioinformatics, metabolomics, networks, nutrient, sulphate, sulphur metabolism, systems biology, transcriptomics


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