Literature DB >> 15451661

An allosteric model for transmembrane signaling in bacterial chemotaxis.

Christopher V Rao1, Michael Frenklach, Adam P Arkin.   

Abstract

Bacteria are able to sense chemical gradients over a wide range of concentrations. However, calculations based on the known number of receptors do not predict such a range unless receptors interact with one another in a cooperative manner. A number of recent experiments support the notion that this remarkable sensitivity in chemotaxis is mediated by localized interactions or crosstalk between neighboring receptors. A number of simple, elegant models have proposed mechanisms for signal integration within receptor clusters. What is a lacking is a model, based on known molecular mechanisms and our accumulated knowledge of chemotaxis, that integrates data from multiple, heterogeneous sources. To address this question, we propose an allosteric mechanism for transmembrane signaling in bacterial chemotaxis based on the "trimer of dimers" model, where three receptor dimers form a stable complex with CheW and CheA. The mechanism is used to integrate a diverse set of experimental data in a consistent framework. The main predictions are: (1) trimers of receptor dimers form the building blocks for the signaling complexes; (2) receptor methylation increases the stability of the active state and retards the inhibition arising from ligand-bound receptors within the signaling complex; (3) trimer of dimer receptor complexes aggregate into clusters through their mutual interactions with CheA and CheW; (4) cooperativity arises from neighboring interaction within these clusters; and (5) cluster size is determined by the concentration of receptors, CheA, and CheW. The model is able to explain a number of seemingly contradictory experiments in a consistent manner and, in the process, explain how bacteria are able to sense chemical gradients over a wide range of concentrations by demonstrating how signals are integrated within the signaling complex.

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Year:  2004        PMID: 15451661     DOI: 10.1016/j.jmb.2004.08.046

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  14 in total

1.  An allosteric model for heterogeneous receptor complexes: understanding bacterial chemotaxis responses to multiple stimuli.

Authors:  Bernardo A Mello; Yuhai Tu
Journal:  Proc Natl Acad Sci U S A       Date:  2005-11-17       Impact factor: 11.205

2.  Physical responses of bacterial chemoreceptors.

Authors:  Ady Vaknin; Howard C Berg
Journal:  J Mol Biol       Date:  2006-12-15       Impact factor: 5.469

3.  Effects of adaptation in maintaining high sensitivity over a wide range of backgrounds for Escherichia coli chemotaxis.

Authors:  Bernardo A Mello; Yuhai Tu
Journal:  Biophys J       Date:  2007-01-05       Impact factor: 4.033

Review 4.  Information processing in bacteria: memory, computation, and statistical physics: a key issues review.

Authors:  Ganhui Lan; Yuhai Tu
Journal:  Rep Prog Phys       Date:  2016-04-08

5.  Characterization of the adaptation module of the signaling network in bacterial chemotaxis by measurement of step responses.

Authors:  Junhua Yuan; Howard C Berg
Journal:  Biophys J       Date:  2012-09-19       Impact factor: 4.033

6.  The relation of signal transduction to the sensitivity and dynamic range of bacterial chemotaxis.

Authors:  Toshinori Namba; Masatoshi Nishikawa; Tatsuo Shibata
Journal:  Biophys J       Date:  2012-09-19       Impact factor: 4.033

7.  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

8.  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

Review 9.  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

10.  An agent-based model of signal transduction in bacterial chemotaxis.

Authors:  Jameson Miller; Miles Parker; Robert B Bourret; Morgan C Giddings
Journal:  PLoS One       Date:  2010-05-13       Impact factor: 3.240

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