title: Metabolic fluxes and beyond-systems biology understanding and engineering of microbial metabolism.
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.
authors.affiliation: Biochemical Engineering Institute, Technische Universität Braunschweig, Germany.
authors.forename: Michael
authors.initials: M
authors.lastname: Kohlstedt
authors.forename: Judith
authors.initials: J
authors.lastname: Becker
authors.forename: Christoph
authors.initials: C
authors.lastname: Wittmann
mesh_terms: D055162:Biocatalysis; D001669:Biochemical Phenomena; D001709:Biotechnology / Q000379:methods*; D019295:Computational Biology / Q000379:methods; D004734:Energy Metabolism; D005818:Genetic Engineering / Q000379:methods*; D007218:Industrial Microbiology / Q000379:methods*; D053858:Metabolic Networks and Pathways; D008660:Metabolism; D008954:Models, Biological; D010084:Oxidation-Reduction; D015202:Protein Engineering / Q000379:methods; D049490:Systems Biology / Q000379:methods*