Literature DB >> 7934815

The galactose regulon of Escherichia coli.

M J Weickert1, S Adhya.   

Abstract

Galactose transport and metabolism in Escherichia coli involves a multicomponent amphibolic pathway. Galactose transport is accomplished by two different galactose-specific transport systems. At least four of the genes and operons involved in galactose transport and metabolism have promoters containing similar regulatory sequences. These sequences are recognized by at least three regulators, Gal repressor (GalR), Gal isorepressor (GalS) and cAMP receptor protein (CRP), which modulate transcription from these promoters. The negative regulators, GalR and GalS, discriminate between utilization of the high-affinity (regulated by GalS) and low-affinity (regulated by GalR) transport systems, and modulate the expression of genes for galactose metabolism in an overlapping fashion. GalS is itself autogenously regulated and CRP dependent, while the gene for GalR is constitutive. The gal operon encoding the enzymes for galactose metabolism has two promoters regulated by CRP in opposite ways; one (P1) is stimulated and the other (P2) inhibited by CRP. Both promoters are strongly repressed by GalR but weakly by GalS. All but one of the constituent promoters of the gal regulon have two operators. The gal regulon has the potential to coordinate galactose metabolism and transport in a highly efficient manner, under a wide variety of conditions of galactose availability.

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Year:  1993        PMID: 7934815     DOI: 10.1111/j.1365-2958.1993.tb01950.x

Source DB:  PubMed          Journal:  Mol Microbiol        ISSN: 0950-382X            Impact factor:   3.501


  52 in total

1.  Galactose repressor mediated intersegmental chromosomal connections in Escherichia coli.

Authors:  Zhong Qian; Emilios K Dimitriadis; Rotem Edgar; Prahathees Eswaramoorthy; Sankar Adhya
Journal:  Proc Natl Acad Sci U S A       Date:  2012-06-25       Impact factor: 11.205

2.  Timing of gene transcription in the galactose utilization system of Escherichia coli.

Authors:  Péter Horváth; Alexander Hunziker; János Erdossy; Sandeep Krishna; Szabolcs Semsey
Journal:  J Biol Chem       Date:  2010-10-05       Impact factor: 5.157

3.  Combinatorics of feedback in cellular uptake and metabolism of small molecules.

Authors:  Sandeep Krishna; Szabolcs Semsey; Kim Sneppen
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-19       Impact factor: 11.205

4.  Dominant negative autoregulation limits steady-state repression levels in gene networks.

Authors:  Szabolcs Semsey; Sandeep Krishna; János Erdossy; Péter Horváth; László Orosz; Kim Sneppen; Sankar Adhya
Journal:  J Bacteriol       Date:  2009-05-08       Impact factor: 3.490

5.  Dual overlapping promoters control napF (periplasmic nitrate reductase) operon expression in Escherichia coli K-12.

Authors:  Valley Stewart; Peggy J Bledsoe; Stanly B Williams
Journal:  J Bacteriol       Date:  2003-10       Impact factor: 3.490

6.  Dynamic features of gene expression control by small regulatory RNAs.

Authors:  Namiko Mitarai; Julie-Anna M Benjamin; Sandeep Krishna; Szabolcs Semsey; Zsolt Csiszovszki; Eric Massé; Kim Sneppen
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-16       Impact factor: 11.205

7.  Switching control of expression of ptsG from the Mlc regulon to the NagC regulon.

Authors:  Samir El Qaidi; Jacqueline Plumbridge
Journal:  J Bacteriol       Date:  2008-05-09       Impact factor: 3.490

8.  Global transcription and metabolic flux analysis of Escherichia coli in glucose-limited fed-batch cultivations.

Authors:  K Lemuth; T Hardiman; S Winter; D Pfeiffer; M A Keller; S Lange; M Reuss; R D Schmid; M Siemann-Herzberg
Journal:  Appl Environ Microbiol       Date:  2008-09-19       Impact factor: 4.792

9.  Statistical mechanical model of coupled transcription from multiple promoters due to transcription factor titration.

Authors:  Mattias Rydenfelt; Robert Sidney Cox; Hernan Garcia; Rob Phillips
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-01-06

10.  Bacterial gene control by DNA looping using engineered dimeric transcription activator like effector (TALE) proteins.

Authors:  Nicole A Becker; Tanya L Schwab; Karl J Clark; L James Maher
Journal:  Nucleic Acids Res       Date:  2018-03-16       Impact factor: 16.971

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