Literature DB >> 22138386

Importance of metabolic coupling for the dynamics of gene expression following a diauxic shift in Escherichia coli.

Valentina Baldazzi1, Delphine Ropers, Johannes Geiselmann, Daniel Kahn, Hidde de Jong.   

Abstract

Gene regulatory networks consist of direct interactions, but also include indirect interactions mediated by metabolism. We investigate to which extent these indirect interactions arising from metabolic coupling influence the dynamics of the system. To this end, we build a qualitative model of the gene regulatory network controlling carbon assimilation in Escherichia coli, and use this model to study the changes in gene expression following a diauxic shift from glucose to acetate. In particular, we compare the relative variation in the steady-state concentrations of enzymes and transcription regulators during growth on glucose and acetate, as well as the dynamic response of gene expression to the exhaustion of glucose and the subsequent assimilation of acetate. We find significant differences between the dynamics of the system in the absence and presence of metabolic coupling. This shows that interactions arising from metabolic coupling cannot be ignored when studying the dynamics of gene regulatory networks.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 22138386     DOI: 10.1016/j.jtbi.2011.11.010

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  4 in total

1.  Acetate Exposure Determines the Diauxic Behavior of Escherichia coli during the Glucose-Acetate Transition.

Authors:  Brice Enjalbert; Muriel Cocaign-Bousquet; Jean-Charles Portais; Fabien Letisse
Journal:  J Bacteriol       Date:  2015-07-27       Impact factor: 3.490

2.  Synthetic gene circuits for metabolic control: design trade-offs and constraints.

Authors:  Diego A Oyarzún; Guy-Bart V Stan
Journal:  J R Soc Interface       Date:  2012-11-08       Impact factor: 4.118

3.  Genomewide Stabilization of mRNA during a "Feast-to-Famine" Growth Transition in Escherichia coli.

Authors:  Manon Morin; Brice Enjalbert; Delphine Ropers; Laurence Girbal; Muriel Cocaign-Bousquet
Journal:  mSphere       Date:  2020-05-20       Impact factor: 4.389

4.  A model explaining mRNA level fluctuations based on activity demands and RNA age.

Authors:  Zhongneng Xu; Shuichi Asakawa
Journal:  PLoS Comput Biol       Date:  2021-07-23       Impact factor: 4.475

  4 in total

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