Literature DB >> 21292161

The base-pairing RNA spot 42 participates in a multioutput feedforward loop to help enact catabolite repression in Escherichia coli.

Chase L Beisel1, Gisela Storz.   

Abstract

Bacteria selectively consume some carbon sources over others through a regulatory mechanism termed catabolite repression. Here, we show that the base-pairing RNA Spot 42 plays a broad role in catabolite repression in Escherichia coli by directly repressing genes involved in central and secondary metabolism, redox balancing, and the consumption of diverse nonpreferred carbon sources. Many of the genes repressed by Spot 42 are transcriptionally activated by the global regulator CRP. Since CRP represses Spot 42, these regulators participate in a specific regulatory circuit called a multioutput feedforward loop. We found that this loop can reduce leaky expression of target genes in the presence of glucose and can maintain repression of target genes under changing nutrient conditions. Our results suggest that base-pairing RNAs in feedforward loops can help shape the steady-state levels and dynamics of gene expression.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21292161      PMCID: PMC3072601          DOI: 10.1016/j.molcel.2010.12.027

Source DB:  PubMed          Journal:  Mol Cell        ISSN: 1097-2765            Impact factor:   17.970


  43 in total

1.  MicC, a second small-RNA regulator of Omp protein expression in Escherichia coli.

Authors:  Shuo Chen; Aixia Zhang; Lawrence B Blyn; Gisela Storz
Journal:  J Bacteriol       Date:  2004-10       Impact factor: 3.490

2.  A small, unstable RNA molecule of Escherichia coli: spot 42 RNA. II. Accumulation and distribution.

Authors:  B G Sahagan; J E Dahlberg
Journal:  J Mol Biol       Date:  1979-07-05       Impact factor: 5.469

3.  The organization of the fuc regulon specifying L-fucose dissimilation in Escherichia coli K12 as determined by gene cloning.

Authors:  Y M Chen; Y Zhu; E C Lin
Journal:  Mol Gen Genet       Date:  1987-12

4.  Positive and negative regulators for glucitol (gut) operon expression in Escherichia coli.

Authors:  M Yamada; M H Saier
Journal:  J Mol Biol       Date:  1988-10-05       Impact factor: 5.469

5.  A unique mechanism regulating gene expression: translational inhibition by a complementary RNA transcript (micRNA).

Authors:  T Mizuno; M Y Chou; M Inouye
Journal:  Proc Natl Acad Sci U S A       Date:  1984-04       Impact factor: 11.205

6.  Molecular analysis of the regulation of csiD, a carbon starvation-inducible gene in Escherichia coli that is exclusively dependent on sigma s and requires activation by cAMP-CRP.

Authors:  C Marschall; V Labrousse; M Kreimer; D Weichart; A Kolb; R Hengge-Aronis
Journal:  J Mol Biol       Date:  1998-02-20       Impact factor: 5.469

7.  Sequential Peptide Affinity (SPA) system for the identification of mammalian and bacterial protein complexes.

Authors:  Mahel Zeghouf; Joyce Li; Gareth Butland; Anna Borkowska; Veronica Canadien; Dawn Richards; Bryan Beattie; Andrew Emili; Jack F Greenblatt
Journal:  J Proteome Res       Date:  2004 May-Jun       Impact factor: 4.466

8.  A gene between polA and glnA retards growth of Escherichia coli when present in multiple copies: physiological effects of the gene for spot 42 RNA.

Authors:  P W Rice; J E Dahlberg
Journal:  J Bacteriol       Date:  1982-12       Impact factor: 3.490

9.  Evidence for two functional gal promoters in intact Escherichia coli cells.

Authors:  H Aiba; S Adhya; B de Crombrugghe
Journal:  J Biol Chem       Date:  1981-11-25       Impact factor: 5.157

10.  Cyclic AMP-cyclic AMP receptor protein as a repressor of transcription of the spf gene of Escherichia coli.

Authors:  D A Polayes; P W Rice; M M Garner; J E Dahlberg
Journal:  J Bacteriol       Date:  1988-07       Impact factor: 3.490

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  92 in total

1.  Noncanonical repression of translation initiation through small RNA recruitment of the RNA chaperone Hfq.

Authors:  Guillaume Desnoyers; Eric Massé
Journal:  Genes Dev       Date:  2012-04-01       Impact factor: 11.361

2.  Multiple factors dictate target selection by Hfq-binding small RNAs.

Authors:  Chase L Beisel; Taylor B Updegrove; Ben J Janson; Gisela Storz
Journal:  EMBO J       Date:  2012-03-02       Impact factor: 11.598

3.  Discovery and characterization of the first non-coding RNA that regulates gene expression, micF RNA: A historical perspective.

Authors:  Nicholas Delihas
Journal:  World J Biol Chem       Date:  2015-11-26

Review 4.  Pseudomonad reverse carbon catabolite repression, interspecies metabolite exchange, and consortial division of labor.

Authors:  Heejoon Park; S Lee McGill; Adrienne D Arnold; Ross P Carlson
Journal:  Cell Mol Life Sci       Date:  2019-11-25       Impact factor: 9.261

5.  Hfq CLASH uncovers sRNA-target interaction networks linked to nutrient availability adaptation.

Authors:  Ira Alexandra Iosub; Robert Willem van Nues; Stuart William McKellar; Karen Jule Nieken; Marta Marchioretto; Brandon Sy; Jai Justin Tree; Gabriella Viero; Sander Granneman
Journal:  Elife       Date:  2020-05-01       Impact factor: 8.140

6.  Comparative genomics boosts target prediction for bacterial small RNAs.

Authors:  Patrick R Wright; Andreas S Richter; Kai Papenfort; Martin Mann; Jörg Vogel; Wolfgang R Hess; Rolf Backofen; Jens Georg
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-26       Impact factor: 11.205

7.  Synthetic negative feedback circuits using engineered small RNAs.

Authors:  Ciarán L Kelly; Andreas W K Harris; Harrison Steel; Edward J Hancock; John T Heap; Antonis Papachristodoulou
Journal:  Nucleic Acids Res       Date:  2018-10-12       Impact factor: 16.971

8.  Small RNAs endow a transcriptional activator with essential repressor functions for single-tier control of a global stress regulon.

Authors:  Emily B Gogol; Virgil A Rhodius; Kai Papenfort; Jörg Vogel; Carol A Gross
Journal:  Proc Natl Acad Sci U S A       Date:  2011-07-18       Impact factor: 11.205

9.  Discriminating tastes: physiological contributions of the Hfq-binding small RNA Spot 42 to catabolite repression.

Authors:  Chase L Beisel; Gisela Storz
Journal:  RNA Biol       Date:  2011-07-26       Impact factor: 4.652

10.  Functional characterization of bacterial sRNAs using a network biology approach.

Authors:  Sheetal R Modi; Diogo M Camacho; Michael A Kohanski; Graham C Walker; James J Collins
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-29       Impact factor: 11.205

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