Literature DB >> 31363904

Reprogramming of gene expression in Escherichia coli cultured on pyruvate versus glucose.

Anna Chao Kaberdina1, Olatz Ruiz-Larrabeiti2, Sue Lin-Chao3, Vladimir R Kaberdin4,5,6.   

Abstract

Previous studies revealed important roles of small RNAs (sRNAs) in regulation of bacterial metabolism, stress responses and virulence. However, only a minor fraction of sRNAs is well characterized with respect to the spectra of their targets, conditional expression profiles and actual mechanisms they use to regulate gene expression to control particular biological pathways. To learn more about the specific contribution of sRNAs to the global regulatory network controlling the Escherichia coli central carbon metabolism (CCM), we employed microarray analysis and compared transcriptome profiles of E. coli cells grown on two alternative minimal media supplemented with either pyruvate or glucose, respectively. Microarray analysis revealed that utilization of these alternative carbon sources led to profound differences in gene expression affecting all major gene clusters associated with CCM as well as expression of several known (CyaR, RyhB, GcvB and RyeA) and putative (C0652) sRNAs. To assess the impact of transcriptional reprogramming of gene expression on E. coli protein abundance, we also employed two-dimensional protein gel electrophoresis. Our experimental data made it possible to determine the major pathways for pyruvate assimilation when it is used as a sole carbon source and reveal the impact of other key processes (i.e., energy production, molecular transport and cell resistance to stress) associated with the CCM in E. coli. Moreover, some of these processes were apparently controlled by GcvB, RyhB and CyaR at the post-transcriptional level, thus indicating the complexity and interconnection of the regulatory networks that control CCM in bacteria.

Entities:  

Keywords:  CyaR; GcvB; Gluconeogenesis; Glycolysis; Post-transcriptional control; Pyruvate; RyeA; RyhB; Small RNAs

Mesh:

Substances:

Year:  2019        PMID: 31363904     DOI: 10.1007/s00438-019-01597-1

Source DB:  PubMed          Journal:  Mol Genet Genomics        ISSN: 1617-4623            Impact factor:   3.291


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