Reference : A mathematical model of metabolism and regulation provides a systems-level view of ho...
Scientific journals : Article
Life sciences : Multidisciplinary, general & others
http://hdl.handle.net/10993/16287
A mathematical model of metabolism and regulation provides a systems-level view of how Escherichia coli responds to oxygen
English
Ederer, M []
Steinsiek, S []
Stagge, S []
Rolfe, MD []
Ter Beek, A []
Knies, D []
Teixeira de Mattos, MJ []
Sauter, Thomas mailto [University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Life Science Research Unit >]
Green, J []
Poole, RK []
Bettenbrock, K []
Sawodny, O []
2014
Frontiers in Microbiology
Frontiers Research Foundation
5
124
Yes
International
1664-302X
Lausanne
Switzerland
[en] The efficient redesign of bacteria for biotechnological purposes, such as biofuel production, waste disposal or specific biocatalytic functions, requires a quantitative systems-level understanding of energy supply, carbon, and redox metabolism. The measurement of transcript levels, metabolite concentrations and metabolic fluxes per se gives an incomplete picture. An appreciation of the interdependencies between the different measurement values is essential for systems-level understanding. Mathematical modeling has the potential to provide a coherent and quantitative description of the interplay between gene expression, metabolite concentrations, and metabolic fluxes. Escherichia coli undergoes major adaptations in central metabolism when the availability of oxygen changes. Thus, an integrated description of the oxygen response provides a benchmark of our understanding of carbon, energy, and redox metabolism. We present the first comprehensive model of the central metabolism of E. coli that describes steady-state metabolism at different levels of oxygen availability. Variables of the model are metabolite concentrations, gene expression levels, transcription factor activities, metabolic fluxes, and biomass concentration. We analyze the model with respect to the production capabilities of central metabolism of E. coli. In particular, we predict how precursor and biomass concentration are affected by product formation. - See more at: http://journal.frontiersin.org/Journal/10.3389/fmicb.2014.00124/abstract#sthash.Ocu5zSDe.dpuf
http://hdl.handle.net/10993/16287
10.3389/fmicb.2014.00124

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