Literature DB >> 17501245

Growth-induced instability in metabolic networks.

Sidhartha Goyal1, Ned S Wingreen.   

Abstract

Product-feedback inhibition is a ubiquitous regulatory scheme for maintaining homeostasis in living cells. Individual metabolic pathways with product-feedback inhibition are stable as long as one pathway step is rate limiting. However, pathways are often coupled both by the use of a common substrate and by stoichiometric utilization of their products for cell growth. We show that such a coupled network with product-feedback inhibition may exhibit limit-cycle oscillations which arise via a Hopf bifurcation. Our results highlight novel evolutionary constraints on the architecture of metabolism.

Mesh:

Year:  2007        PMID: 17501245      PMCID: PMC1995071          DOI: 10.1103/PhysRevLett.98.138105

Source DB:  PubMed          Journal:  Phys Rev Lett        ISSN: 0031-9007            Impact factor:   9.161


  13 in total

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  7 in total

1.  Optimal metabolic regulation using a constraint-based model.

Authors:  William J Riehl; Daniel Segrè
Journal:  Genome Inform       Date:  2008

2.  Parameter inference for biochemical systems that undergo a Hopf bifurcation.

Authors:  Paul D W Kirk; Tina Toni; Michael P H Stumpf
Journal:  Biophys J       Date:  2008-05-02       Impact factor: 4.033

Review 3.  Non-transcriptional regulatory processes shape transcriptional network dynamics.

Authors:  J Christian J Ray; Jeffrey J Tabor; Oleg A Igoshin
Journal:  Nat Rev Microbiol       Date:  2011-10-11       Impact factor: 60.633

4.  Achieving optimal growth through product feedback inhibition in metabolism.

Authors:  Sidhartha Goyal; Jie Yuan; Thomas Chen; Joshua D Rabinowitz; Ned S Wingreen
Journal:  PLoS Comput Biol       Date:  2010-06-03       Impact factor: 4.475

Review 5.  Noisy metabolism can promote microbial cross-feeding.

Authors:  Jaime G Lopez; Ned S Wingreen
Journal:  Elife       Date:  2022-04-05       Impact factor: 8.713

6.  Growth landscape formed by perception and import of glucose in yeast.

Authors:  Hyun Youk; Alexander van Oudenaarden
Journal:  Nature       Date:  2009-12-17       Impact factor: 49.962

7.  Metabolomics-driven quantitative analysis of ammonia assimilation in E. coli.

Authors:  Jie Yuan; Christopher D Doucette; William U Fowler; Xiao-Jiang Feng; Matthew Piazza; Herschel A Rabitz; Ned S Wingreen; Joshua D Rabinowitz
Journal:  Mol Syst Biol       Date:  2009-08-18       Impact factor: 11.429

  7 in total

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