Literature DB >> 20855582

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

Clinton H Hansen1, Victor Sourjik, Ned S Wingreen.   

Abstract

The chemotaxis system of Escherichia coli is sensitive to small relative changes in ambient chemoattractant concentrations over a broad range. Interactions among receptors are crucial to this sensitivity, as is precise adaptation, the return of chemoreceptor activity to prestimulus levels in a constant chemoeffector environment through methylation and demethylation of receptors. Signal integration and cooperativity have been attributed to strongly coupled, mixed teams of receptors, but receptors become individually methylated according to their ligand occupancy states. Here, we present a model of dynamic signaling teams that reconciles strong coupling among receptors with receptor-specific methylation. Receptor trimers of dimers couple to form a honeycomb lattice, consistent with cryo-electron microscopy (cryoEM) tomography, within which the boundaries of signaling teams change rapidly. Our model helps explain the inferred increase in signaling team size with receptor modification, and indicates that active trimers couple more strongly than inactive trimers.

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Year:  2010        PMID: 20855582      PMCID: PMC2951395          DOI: 10.1073/pnas.1005017107

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


  37 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.  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

3.  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

4.  Stabilization of polar localization of a chemoreceptor via its covalent modifications and its communication with a different chemoreceptor.

Authors:  Daisuke Shiomi; Satomi Banno; Michio Homma; Ikuro Kawagishi
Journal:  J Bacteriol       Date:  2005-11       Impact factor: 3.490

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.  Osmotic stress mechanically perturbs chemoreceptors in Escherichia coli.

Authors:  Ady Vaknin; Howard C Berg
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-06       Impact factor: 11.205

7.  Insights into the organization and dynamics of bacterial chemoreceptor clusters through in vivo crosslinking studies.

Authors:  Claudia A Studdert; John S Parkinson
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-17       Impact factor: 11.205

8.  Robustness in simple biochemical networks.

Authors:  N Barkai; S Leibler
Journal:  Nature       Date:  1997-06-26       Impact factor: 49.962

9.  Adaptation of retinal processing to image contrast and spatial scale.

Authors:  S M Smirnakis; M J Berry; D K Warland; W Bialek; M Meister
Journal:  Nature       Date:  1997-03-06       Impact factor: 49.962

10.  Multiple time scales of adaptation in auditory cortex neurons.

Authors:  Nachum Ulanovsky; Liora Las; Dina Farkas; Israel Nelken
Journal:  J Neurosci       Date:  2004-11-17       Impact factor: 6.167

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  23 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.  Ultrasensitivity in independent multisite systems.

Authors:  Shane Ryerson; Germán A Enciso
Journal:  J Math Biol       Date:  2013-09-18       Impact factor: 2.259

Review 3.  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

4.  Lateral density of receptor arrays in the membrane plane influences sensitivity of the E. coli chemotaxis response.

Authors:  Cezar M Khursigara; Ganhui Lan; Silke Neumann; Xiongwu Wu; Suchie Ravindran; Mario J Borgnia; Victor Sourjik; Jacqueline Milne; Yuhai Tu; Sriram Subramaniam
Journal:  EMBO J       Date:  2011-03-25       Impact factor: 11.598

5.  Universal response-adaptation relation in bacterial chemotaxis.

Authors:  Anna K Krembel; Silke Neumann; Victor Sourjik
Journal:  J Bacteriol       Date:  2014-11-03       Impact factor: 3.490

6.  Protein logic: a statistical mechanical study of signal integration at the single-molecule level.

Authors:  Wiet de Ronde; Pieter Rein ten Wolde; Andrew Mugler
Journal:  Biophys J       Date:  2012-09-05       Impact factor: 4.033

7.  The source of high signal cooperativity in bacterial chemosensory arrays.

Authors:  Germán E Piñas; Vered Frank; Ady Vaknin; John S Parkinson
Journal:  Proc Natl Acad Sci U S A       Date:  2016-03-07       Impact factor: 11.205

8.  Multiple sources of slow activity fluctuations in a bacterial chemosensory network.

Authors:  Remy Colin; Christelle Rosazza; Ady Vaknin; Victor Sourjik
Journal:  Elife       Date:  2017-12-12       Impact factor: 8.140

9.  Fundamental constraints on the abundances of chemotaxis proteins.

Authors:  Anne-Florence Bitbol; Ned S Wingreen
Journal:  Biophys J       Date:  2015-03-10       Impact factor: 4.033

10.  Defining a key receptor-CheA kinase contact and elucidating its function in the membrane-bound bacterial chemosensory array: a disulfide mapping and TAM-IDS Study.

Authors:  Kene N Piasta; Caleb J Ulliman; Peter F Slivka; Brian R Crane; Joseph J Falke
Journal:  Biochemistry       Date:  2013-05-23       Impact factor: 3.162

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