Document Type

Article

Publication Date

August 2005

Publication Title

The Journal of Biological Chemistry

Volume

280

Issue Number

43

First Page

36079

Last Page

36087

DOI

10.1074/jbc.M508202200

ISSN

00219258

Disciplines

Chemical Engineering | Engineering

Abstract

In bacterial adaptation to the dynamic environment, metabolic genes are typically thought to be the executors, whereas global transcription regulators are regarded as the decision makers. Although the feedback from metabolic consequence is believed to be important, much less is understood. This work demonstrates that the gluconeogenic genes in Escherichia coli, ppsA, sfcA, and maeB, provide a feedback loop to the global regulator, cAMP receptor protein (CRP), in carbon source transition. Disruption of one of the gluconeogenic pathways has no phenotype in balanced growth, but causes a significant delay in the diauxic transition from glucose to acetate. To investigate the underlying mechanism, we measured the transcriptome profiles during the transition using DNA microarray, and network component analysis was employed to obtain the transcription factor activities. Results showed that one of the global regulators, CRP, was insufficiently activated during the transition in the ppsA deletion mutant. Indeed, addition of cAMP partially rescued the delay in transition. These results suggest that the gluconeogenic flux to phosphoenolpyruvate is important for full activation of adenylate cyclase through the phosphorylated enzyme IIAglu of the phosphotransferase system. Reduction of this flux causes insufficient activation of CRP and a global metabolic deficiency, which exemplifies a significant feedback interaction from metabolism to the a global regulatory system.

Comments

SJSU users: Use the following link to login and access the article via SJSU databases.This research was originally published in the Journal of Biological Chemistry. Kao, K.C, Tran, L.M., Liao, J.C. A global regulatory role of gluconeogenic genes in Escherichia coli revealed by transcriptome network analysis. J. Biol. Chem. 2005; 280:36079-36087. © The American Society for Biochemistry and Molecular BiologyThis article can also be found online here.

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