Literature DB >> 17208965

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

Bernardo A Mello1, Yuhai Tu.   

Abstract

An allosteric model is developed to study the cooperative kinase response of wild-type (wt) Escherichia coli cells to the chemoattractant MeAsp in different ambient MeAsp concentrations. The model, together with wt dose response data, reveals the underlying mechanism for E. coli's ability to maintain high sensitivity over a wide range of backgrounds. We find: 1), Adaptation tunes the system to the steepest part of the dose response curve, where the sensitivity to a given type of stimulus is amplified by the number of corresponding receptors in the (mixed) functional receptor complex. A lower bound on the number of Tar receptor dimers (Na) in the complex Na>approximately 6 is obtained from the measured sensitivity. 2), Accurate adaptation synchronizes the kinase activities from different (uncoupled) receptor complexes in a single cell and is crucial in maintaining the high Hill coefficient in the (population averaged) kinase response curve. 3), The wide dynamic range of the high sensitivity can be explained in our model by either having a very small ratio between ligand dissociation constants of the inactive and the active receptors C=0.006, Na=6, and a (methylation level independent) dissociation constant for the inactive Tar receptor K=18.2 microM or by having K and/or Na increase with receptor methylation level together with a larger value of C>0.01. Specific experiments are suggested to distinguish these two scenarios. 4), The receptor occupancy in a wt cell should also adapt and exhibit a slow (approximately logarithmic) dependence on the ligand concentration in the adapted state; this general prediction can be tested experimentally to verify/falsify our model.

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Year:  2007        PMID: 17208965      PMCID: PMC1864821          DOI: 10.1529/biophysj.106.097808

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  28 in total

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Authors:  G Li; R M Weis
Journal:  Cell       Date:  2000-02-04       Impact factor: 41.582

3.  Receptor sensitivity in bacterial chemotaxis.

Authors:  Victor Sourjik; Howard C Berg
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5.  Receptor methylation controls the magnitude of stimulus-response coupling in bacterial chemotaxis.

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Journal:  J Biol Chem       Date:  2002-07-15       Impact factor: 5.157

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

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Journal:  J Mol Biol       Date:  2003-05-30       Impact factor: 5.469

7.  Functional interactions between receptors in bacterial chemotaxis.

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

8.  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

9.  Evidence that both ligand binding and covalent adaptation drive a two-state equilibrium in the aspartate receptor signaling complex.

Authors:  J A Bornhorst; J J Falke
Journal:  J Gen Physiol       Date:  2001-12       Impact factor: 4.086

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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  51 in total

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

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Journal:  EMBO J       Date:  2010-09-10       Impact factor: 11.598

Review 2.  Genetic control of morphogenesis in Dictyostelium.

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Review 3.  Bacterial chemoreceptors: high-performance signaling in networked arrays.

Authors:  Gerald L Hazelbauer; Joseph J Falke; John S Parkinson
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4.  Chemoreceptors in Caulobacter crescentus: trimers of receptor dimers in a partially ordered hexagonally packed array.

Authors:  Cezar M Khursigara; Xiongwu Wu; Sriram Subramaniam
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5.  The chemoreceptor dimer is the unit of conformational coupling and transmembrane signaling.

Authors:  Divya N Amin; Gerald L Hazelbauer
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6.  Molecular modeling of flexible arm-mediated interactions between bacterial chemoreceptors and their modification enzyme.

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Journal:  Protein Sci       Date:  2009-08       Impact factor: 6.725

Review 7.  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

8.  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

9.  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 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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