Literature DB >> 16446460

Chemosensing in Escherichia coli: two regimes of two-state receptors.

Juan E Keymer1, Robert G Endres, Monica Skoge, Yigal Meir, Ned S Wingreen.   

Abstract

The chemotaxis network in Escherichia coli is remarkable for its sensitivity to small relative changes in the concentrations of multiple chemical signals. We present a model for signal integration by mixed clusters of interacting two-state chemoreceptors. Our model results compare favorably to the results obtained by Sourjik and Berg with in vivo fluorescence resonance energy transfer. Importantly, we identify two distinct regimes of behavior, depending on the relative energies of the two states of the receptors. In regime I, coupling of receptors leads to high sensitivity, while in regime II, coupling of receptors leads to high cooperativity, i.e., high Hill coefficient. For homogeneous receptors, we predict an observable transition between regime I and regime II with increasing receptor methylation or amidation.

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Year:  2006        PMID: 16446460      PMCID: PMC1413630          DOI: 10.1073/pnas.0507438103

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  33 in total

Review 1.  Molecular information processing: lessons from bacterial chemotaxis.

Authors:  Robert B Bourret; Ann M Stock
Journal:  J Biol Chem       Date:  2002-01-04       Impact factor: 5.157

2.  Bacterial chemotaxis and the question of gain.

Authors:  Dennis Bray
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-08       Impact factor: 11.205

3.  Receptor sensitivity in bacterial chemotaxis.

Authors:  Victor Sourjik; Howard C Berg
Journal:  Proc Natl Acad Sci U S A       Date:  2001-12-11       Impact factor: 11.205

4.  Receptor methylation controls the magnitude of stimulus-response coupling in bacterial chemotaxis.

Authors:  Mikhail N Levit; Jeffry B Stock
Journal:  J Biol Chem       Date:  2002-07-15       Impact factor: 5.157

5.  A spatially extended stochastic model of the bacterial chemotaxis signalling pathway.

Authors:  Thomas S Shimizu; Sergej V Aksenov; Dennis Bray
Journal:  J Mol Biol       Date:  2003-05-30       Impact factor: 5.469

6.  Crosslinking snapshots of bacterial chemoreceptor squads.

Authors:  Claudia A Studdert; John S Parkinson
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-09       Impact factor: 11.205

7.  Binding of the Escherichia coli response regulator CheY to its target measured in vivo by fluorescence resonance energy transfer.

Authors:  Victor Sourjik; Howard C Berg
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-13       Impact factor: 11.205

8.  Functional interactions between receptors in bacterial chemotaxis.

Authors:  Victor Sourjik; Howard C Berg
Journal:  Nature       Date:  2004-03-25       Impact factor: 49.962

9.  Collaborative signaling by mixed chemoreceptor teams in Escherichia coli.

Authors:  Peter Ames; Claudia A Studdert; Rebecca H Reiser; John S Parkinson
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

10.  Quantitative modeling of sensitivity in bacterial chemotaxis: the role of coupling among different chemoreceptor species.

Authors:  Bernardo A Mello; Yuhai Tu
Journal:  Proc Natl Acad Sci U S A       Date:  2003-06-25       Impact factor: 12.779

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  111 in total

Review 1.  Responding to chemical gradients: bacterial chemotaxis.

Authors:  Victor Sourjik; Ned S Wingreen
Journal:  Curr Opin Cell Biol       Date:  2011-12-09       Impact factor: 8.382

2.  Trafficking coordinate description of intracellular transport control of signaling networks.

Authors:  Jose M G Vilar; Leonor Saiz
Journal:  Biophys J       Date:  2011-11-15       Impact factor: 4.033

3.  Noninvasive inference of the molecular chemotactic response using bacterial trajectories.

Authors:  Jean-Baptiste Masson; Guillaume Voisinne; Jerome Wong-Ng; Antonio Celani; Massimo Vergassola
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-17       Impact factor: 11.205

4.  Stochastic coordination of multiple actuators reduces latency and improves chemotactic response in bacteria.

Authors:  Michael W Sneddon; William Pontius; Thierry Emonet
Journal:  Proc Natl Acad Sci U S A       Date:  2011-12-27       Impact factor: 11.205

5.  A dynamic-signaling-team model for chemotaxis receptors in Escherichia coli.

Authors:  Clinton H Hansen; Victor Sourjik; Ned S Wingreen
Journal:  Proc Natl Acad Sci U S A       Date:  2010-09-20       Impact factor: 11.205

6.  Differences in signalling by directly and indirectly binding ligands in bacterial chemotaxis.

Authors:  Silke Neumann; Clinton H Hansen; Ned S Wingreen; Victor Sourjik
Journal:  EMBO J       Date:  2010-09-10       Impact factor: 11.598

Review 7.  Spatial organization in bacterial chemotaxis.

Authors:  Victor Sourjik; Judith P Armitage
Journal:  EMBO J       Date:  2010-08-18       Impact factor: 11.598

8.  Physical limits on cellular sensing of spatial gradients.

Authors:  Bo Hu; Wen Chen; Wouter-Jan Rappel; Herbert Levine
Journal:  Phys Rev Lett       Date:  2010-07-23       Impact factor: 9.161

9.  Statistical mechanics of Monod-Wyman-Changeux (MWC) models.

Authors:  Sarah Marzen; Hernan G Garcia; Rob Phillips
Journal:  J Mol Biol       Date:  2013-03-14       Impact factor: 5.469

10.  Modeling the chemotactic response of Escherichia coli to time-varying stimuli.

Authors:  Yuhai Tu; Thomas S Shimizu; Howard C Berg
Journal:  Proc Natl Acad Sci U S A       Date:  2008-09-23       Impact factor: 11.205

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