Literature DB >> 22995512

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

Toshinori Namba1, Masatoshi Nishikawa, Tatsuo Shibata.   

Abstract

Complex networks of interacting molecular components of living cells are responsible for many important processes, such as signal processing and transduction. An important challenge is to understand how the individual properties of these molecular interactions and biochemical transformations determine the system-level properties of biological functions. Here, we address the issue of the accuracy of signal transduction performed by a bacterial chemotaxis system. The chemotaxis sensitivity of bacteria to a chemoattractant gradient has been measured experimentally from bacterial aggregation in a chemoattractant-containing capillary. The observed precision of the chemotaxis depended on environmental conditions such as the concentration and molecular makeup of the chemoattractant. In a quantitative model, we derived the chemotactic response function, which is essential to describing the signal transduction process involved in bacterial chemotaxis. In the presence of a gradient, an analytical solution is derived that reveals connections between the chemotaxis sensitivity and the characteristics of the signaling system, such as reaction rates. These biochemical parameters are integrated into two system-level parameters: one characterizes the efficiency of gradient sensing, and the other is related to the dynamic range of chemotaxis. Thus, our approach explains how a particular signal transduction property affects the system-level performance of bacterial chemotaxis. We further show that the two parameters can be derived from published experimental data from a capillary assay, which successfully characterizes the performance of bacterial chemotaxis.
Copyright © 2012 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2012        PMID: 22995512      PMCID: PMC3446718          DOI: 10.1016/j.bpj.2012.08.034

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


  44 in total

1.  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

2.  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

3.  How white noise generates power-law switching in bacterial flagellar motors.

Authors:  Yuhai Tu; G Grinstein
Journal:  Phys Rev Lett       Date:  2005-05-25       Impact factor: 9.161

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

Authors:  Juan E Keymer; Robert G Endres; Monica Skoge; Yigal Meir; Ned S Wingreen
Journal:  Proc Natl Acad Sci U S A       Date:  2006-01-30       Impact factor: 11.205

5.  Precise adaptation in bacterial chemotaxis through "assistance neighborhoods".

Authors:  Robert G Endres; Ned S Wingreen
Journal:  Proc Natl Acad Sci U S A       Date:  2006-08-21       Impact factor: 11.205

6.  A method for measuring chemotaxis and use of the method to determine optimum conditions for chemotaxis by Escherichia coli.

Authors:  J Adler
Journal:  J Gen Microbiol       Date:  1973-01

7.  Chemotaxis of Salmonella typhimurium to amino acids and some sugars.

Authors:  T Melton; P E Hartman; J P Stratis; T L Lee; A T Davis
Journal:  J Bacteriol       Date:  1978-02       Impact factor: 3.490

8.  Acquisition of maltose chemotaxis in Salmonella typhimurium by the introduction of the Escherichia coli chemosensory transducer gene.

Authors:  T Mizuno; N Mutoh; S M Panasenko; Y Imae
Journal:  J Bacteriol       Date:  1986-03       Impact factor: 3.490

9.  Quantitative analysis of cell motility and chemotaxis in Dictyostelium discoideum by using an image processing system and a novel chemotaxis chamber providing stationary chemical gradients.

Authors:  P R Fisher; R Merkl; G Gerisch
Journal:  J Cell Biol       Date:  1989-03       Impact factor: 10.539

10.  Variable sizes of Escherichia coli chemoreceptor signaling teams.

Authors:  Robert G Endres; Olga Oleksiuk; Clinton H Hansen; Yigal Meir; Victor Sourjik; Ned S Wingreen
Journal:  Mol Syst Biol       Date:  2008-08-05       Impact factor: 11.429

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  3 in total

1.  The Flux of Euglena gracilis Cells Depends on the Gradient of Light Intensity.

Authors:  Takuma Ogawa; Erika Shoji; Nobuhiko J Suematsu; Hiraku Nishimori; Shunsuke Izumi; Akinori Awazu; Makoto Iima
Journal:  PLoS One       Date:  2016-12-29       Impact factor: 3.240

Review 2.  Experimental and theoretical bases for mechanisms of antigen discrimination by T cells.

Authors:  Masashi K Kajita; Ryo Yokota; Kazuyuki Aihara; Tetsuya J Kobayashi
Journal:  Biophysics (Nagoya-shi)       Date:  2015-03-26

3.  Cytoskeleton polarity is essential in determining orientational order in basal bodies of multi-ciliated cells.

Authors:  Toshinori Namba; Shuji Ishihara
Journal:  PLoS Comput Biol       Date:  2020-02-21       Impact factor: 4.475

  3 in total

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