Literature DB >> 16924119

Precise adaptation in bacterial chemotaxis through "assistance neighborhoods".

Robert G Endres1, 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 over a broad range of ambient concentrations. Key to this sensitivity is an adaptation system that relies on methylation and demethylation (or deamidation) of specific modification sites of the chemoreceptors by the enzymes CheR and CheB, respectively. It was recently discovered that these enzymes can access five to seven receptors when tethered to a particular receptor. We show that these "assistance neighborhoods" are necessary for precise adaptation in a model for signaling by clusters of chemoreceptors. In agreement with experiment, model clusters composed of receptors of different types exhibit high sensitivity and precise adaptation over a wide range of chemical concentrations and the response of adapted clusters to addition/removal of attractant scales with free-energy change. We predict two limits of precise adaptation at large attractant concentrations: Either receptors reach full methylation and turn off, or receptors become saturated and cease to respond to attractant but retain their adapted activity.

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Year:  2006        PMID: 16924119      PMCID: PMC1559749          DOI: 10.1073/pnas.0603101103

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


  30 in total

1.  Efficient adaptational demethylation of chemoreceptors requires the same enzyme-docking site as efficient methylation.

Authors:  A N Barnakov; L A Barnakova; G L Hazelbauer
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-14       Impact factor: 11.205

2.  Heightened sensitivity of a lattice of membrane receptors.

Authors:  T A Duke; D Bray
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-31       Impact factor: 11.205

3.  Four-helical-bundle structure of the cytoplasmic domain of a serine chemotaxis receptor.

Authors:  K K Kim; H Yokota; S H Kim
Journal:  Nature       Date:  1999-08-19       Impact factor: 49.962

4.  ON THE NATURE OF ALLOSTERIC TRANSITIONS: A PLAUSIBLE MODEL.

Authors:  J MONOD; J WYMAN; J P CHANGEUX
Journal:  J Mol Biol       Date:  1965-05       Impact factor: 5.469

5.  Adaptational assistance in clusters of bacterial chemoreceptors.

Authors:  Mingshan Li; Gerald L Hazelbauer
Journal:  Mol Microbiol       Date:  2005-06       Impact factor: 3.501

6.  Carboxyl-terminal extensions beyond the conserved pentapeptide reduce rates of chemoreceptor adaptational modification.

Authors:  Wing-Cheung Lai; Gerald L Hazelbauer
Journal:  J Bacteriol       Date:  2005-08       Impact factor: 3.490

7.  Robustness in bacterial chemotaxis.

Authors:  U Alon; M G Surette; N Barkai; S Leibler
Journal:  Nature       Date:  1999-01-14       Impact factor: 49.962

8.  Receptor clustering as a cellular mechanism to control sensitivity.

Authors:  D Bray; M D Levin; C J Morton-Firth
Journal:  Nature       Date:  1998-05-07       Impact factor: 49.962

9.  Receptor-receptor coupling in bacterial chemotaxis: evidence for strongly coupled clusters.

Authors:  Monica L Skoge; Robert G Endres; Ned S Wingreen
Journal:  Biophys J       Date:  2006-03-24       Impact factor: 4.033

10.  Interactions between the methylation sites of the Escherichia coli aspartate receptor mediated by the methyltransferase.

Authors:  M J Shapiro; D Panomitros; D E Koshland
Journal:  J Biol Chem       Date:  1995-01-13       Impact factor: 5.157

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  71 in total

1.  Bacterial chemoreceptor arrays are hexagonally packed trimers of receptor dimers networked by rings of kinase and coupling proteins.

Authors:  Ariane Briegel; Xiaoxiao Li; Alexandrine M Bilwes; Kelly T Hughes; Grant J Jensen; Brian R Crane
Journal:  Proc Natl Acad Sci U S A       Date:  2012-02-21       Impact factor: 11.205

2.  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

3.  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

4.  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 5.  Spatial organization in bacterial chemotaxis.

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

6.  Construction of a genetic multiplexer to toggle between chemosensory pathways in Escherichia coli.

Authors:  Tae Seok Moon; Elizabeth J Clarke; Eli S Groban; Alvin Tamsir; Ryan M Clark; Matthew Eames; Tanja Kortemme; Christopher A Voigt
Journal:  J Mol Biol       Date:  2010-12-23       Impact factor: 5.469

7.  Evolutionary genomics reveals conserved structural determinants of signaling and adaptation in microbial chemoreceptors.

Authors:  Roger P Alexander; Igor B Zhulin
Journal:  Proc Natl Acad Sci U S A       Date:  2007-02-13       Impact factor: 11.205

8.  Relationship between cellular response and behavioral variability in bacterial chemotaxis.

Authors:  Thierry Emonet; Philippe Cluzel
Journal:  Proc Natl Acad Sci U S A       Date:  2008-02-25       Impact factor: 11.205

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

Review 10.  Quantitative modeling of bacterial chemotaxis: signal amplification and accurate adaptation.

Authors:  Yuhai Tu
Journal:  Annu Rev Biophys       Date:  2013-02-28       Impact factor: 12.981

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