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Glycolysis/gluconeogenesis specialization in microbes is driven by biochemical constraints of flux sensing.
Schink, Severin Josef; Christodoulou, Dimitris; Mukherjee, Avik; Athaide, Edward; Brunner, Viktoria; Fuhrer, Tobias; Bradshaw, Gary Andrew; Sauer, Uwe; Basan, Markus.
Afiliação
  • Schink SJ; Systems Biology Department, Harvard Medical School, Boston, MA, USA.
  • Christodoulou D; Systems Biology Department, Harvard Medical School, Boston, MA, USA.
  • Mukherjee A; Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Athaide E; Systems Biology Department, Harvard Medical School, Boston, MA, USA.
  • Brunner V; Applied Mathematics Department, Harvard College, Cambridge, MA, USA.
  • Fuhrer T; Applied Mathematics Department, Harvard College, Cambridge, MA, USA.
  • Bradshaw GA; Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Sauer U; Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.
  • Basan M; Laboratory of Systems Pharmacology, Harvard Program in Therapeutic Science, Harvard Medical School, Boston, MA, USA.
Mol Syst Biol ; 18(1): e10704, 2022 01.
Article em En | MEDLINE | ID: mdl-34994048
Central carbon metabolism is highly conserved across microbial species, but can catalyze very different pathways depending on the organism and their ecological niche. Here, we study the dynamic reorganization of central metabolism after switches between the two major opposing pathway configurations of central carbon metabolism, glycolysis, and gluconeogenesis in Escherichia coli, Pseudomonas aeruginosa, and Pseudomonas putida. We combined growth dynamics and dynamic changes in intracellular metabolite levels with a coarse-grained model that integrates fluxes, regulation, protein synthesis, and growth and uncovered fundamental limitations of the regulatory network: After nutrient shifts, metabolite concentrations collapse to their equilibrium, rendering the cell unable to sense which direction the flux is supposed to flow through the metabolic network. The cell can partially alleviate this by picking a preferred direction of regulation at the expense of increasing lag times in the opposite direction. Moreover, decreasing both lag times simultaneously comes at the cost of reduced growth rate or higher futile cycling between metabolic enzymes. These three trade-offs can explain why microorganisms specialize for either glycolytic or gluconeogenic substrates and can help elucidate the complex growth patterns exhibited by different microbial species.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pseudomonas putida / Gluconeogênese Idioma: En Revista: Mol Syst Biol Assunto da revista: BIOLOGIA MOLECULAR / BIOTECNOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pseudomonas putida / Gluconeogênese Idioma: En Revista: Mol Syst Biol Assunto da revista: BIOLOGIA MOLECULAR / BIOTECNOLOGIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Estados Unidos