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Metabolic fluxes and beyond—systems biology understanding and engineering of microbial metabolism

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Abstract

The recent years have seen tremendous progress towards the understanding of microbial metabolism on a higher level of the entire functional system. Hereby, huge achievements including the sequencing of complete genomes and efficient post-genomic approaches provide the basis for a new, fascinating era of research—analysis of metabolic and regulatory properties on a global scale. Metabolic flux (fluxome) analysis displays the first systems oriented approach to unravel the physiology of microorganisms since it combines experimental data with metabolic network models and allows determining absolute fluxes through larger networks of central carbon metabolism. Hereby, fluxes are of central importance for systems level understanding because they fundamentally represent the cellular phenotype as integrated output of the cellular components, i.e. genes, transcripts, proteins, and metabolites. A currently emerging and promising area of research in systems biology and systems metabolic engineering is therefore the integration of fluxome data in multi-omics studies to unravel the multiple layers of control that superimpose the flux network and enable its optimal operation under different environmental conditions.

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Acknowledgments

All authors acknowledge financial support by the BMBF grant 0315784F within the research initiative “Systems biology of Microorganisms 2” as part of the research consortium BaCell-SysMo2. Christoph Wittmann and Judith Becker further acknowledge financial support by the BMBF-Grant “Biobased Polyamides through Fermentation” (No 0315239A) within the initiative Bioindustry21.

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  1. Biochemical Engineering Institute, Technische Universität Braunschweig, Gaussstrasse 17, 38106, Braunschweig, Germany

    Michael Kohlstedt, Judith Becker & Christoph Wittmann

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  1. Michael Kohlstedt
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Correspondence to Christoph Wittmann.

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Kohlstedt, M., Becker, J. & Wittmann, C. Metabolic fluxes and beyond—systems biology understanding and engineering of microbial metabolism. Appl Microbiol Biotechnol 88, 1065–1075 (2010). https://doi.org/10.1007/s00253-010-2854-2

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