Literature DB >> 8334303

Computer simulation of the phosphorylation cascade controlling bacterial chemotaxis.

D Bray1, R B Bourret, M I Simon.   

Abstract

We have developed a computer program that simulates the intracellular reactions mediating the rapid (nonadaptive) chemotactic response of Escherichia coli bacteria to the attractant aspartate and the repellent Ni2+ ions. The model is built from modular units representing the molecular components involved, which are each assigned a known value of intracellular concentration and enzymatic rate constant wherever possible. The components are linked into a network of coupled biochemical reactions based on a compilation of widely accepted mechanisms but incorporating several novel features. The computer motor shows the same pattern of runs, tumbles and pauses seen in actual bacteria and responds in the same way as living bacteria to sudden changes in concentration of aspartate or Ni2+. The simulated network accurately reproduces the phenotype of more than 30 mutants in which components of the chemotactic pathway are deleted and/or expressed in excess amounts and shows a rapidity of response to a step change in aspartate concentration similar to living bacteria. Discrepancies between the simulation and real bacteria in the phenotype of certain mutants and in the gain of the chemotactic response to aspartate suggest the existence of additional as yet unidentified interactions in the in vivo signal processing pathway.

Entities:  

Mesh:

Substances:

Year:  1993        PMID: 8334303      PMCID: PMC300951          DOI: 10.1091/mbc.4.5.469

Source DB:  PubMed          Journal:  Mol Biol Cell        ISSN: 1059-1524            Impact factor:   4.138


  62 in total

Review 1.  The bacterial flagellum and flagellar motor: structure, assembly and function.

Authors:  C J Jones; S Aizawa
Journal:  Adv Microb Physiol       Date:  1991       Impact factor: 3.517

2.  The role of a signaling protein in bacterial sensing: behavioral effects of increased gene expression.

Authors:  D O Clegg; D E Koshland
Journal:  Proc Natl Acad Sci U S A       Date:  1984-08       Impact factor: 11.205

3.  Adaptation kinetics in bacterial chemotaxis.

Authors:  S M Block; J E Segall; H C Berg
Journal:  J Bacteriol       Date:  1983-04       Impact factor: 3.490

4.  Two-state model for bacterial chemoreceptor proteins. The role of multiple methylation.

Authors:  S Asakura; H Honda
Journal:  J Mol Biol       Date:  1984-07-05       Impact factor: 5.469

5.  Impulse responses in bacterial chemotaxis.

Authors:  S M Block; J E Segall; H C Berg
Journal:  Cell       Date:  1982-11       Impact factor: 41.582

6.  Signal processing times in bacterial chemotaxis.

Authors:  J E Segall; M D Manson; H C Berg
Journal:  Nature       Date:  1982-04-29       Impact factor: 49.962

7.  Molecular cloning of chemotaxis genes and overproduction of gene products in the bacterial sensing system.

Authors:  A L DeFranco; D E Koshland
Journal:  J Bacteriol       Date:  1981-08       Impact factor: 3.490

8.  Simple molecular model for sensing and adaptation based on receptor modification with application to bacterial chemotaxis.

Authors:  A Goldbeter; D E Koshland
Journal:  J Mol Biol       Date:  1982-11-05       Impact factor: 5.469

9.  Membrane receptors for aspartate and serine in bacterial chemotaxis.

Authors:  S Clarke; D E Koshland
Journal:  J Biol Chem       Date:  1979-10-10       Impact factor: 5.157

10.  Chemotactic signaling in filamentous cells of Escherichia coli.

Authors:  J E Segall; A Ishihara; H C Berg
Journal:  J Bacteriol       Date:  1985-01       Impact factor: 3.490

View more
  58 in total

1.  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

2.  Response tuning in bacterial chemotaxis.

Authors:  R Jasuja; Y Lin; D R Trentham; S Khan
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-28       Impact factor: 11.205

3.  Computation, prediction, and experimental tests of fitness for bacteriophage T7 mutants with permuted genomes.

Authors:  D Endy; L You; J Yin; I J Molineux
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

4.  Isolation and characterization of nonchemotactic CheZ mutants of Escherichia coli.

Authors:  K C Boesch; R E Silversmith; R B Bourret
Journal:  J Bacteriol       Date:  2000-06       Impact factor: 3.490

5.  Cell signaling pathways as control modules: complexity for simplicity?

Authors:  D A Lauffenburger
Journal:  Proc Natl Acad Sci U S A       Date:  2000-05-09       Impact factor: 11.205

6.  Robust perfect adaptation in bacterial chemotaxis through integral feedback control.

Authors:  T M Yi; Y Huang; M I Simon; J Doyle
Journal:  Proc Natl Acad Sci U S A       Date:  2000-04-25       Impact factor: 11.205

7.  Bacterial chemotaxis and the question of gain.

Authors:  Dennis Bray
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-08       Impact factor: 11.205

8.  Multi-stage regulation, a key to reliable adaptive biochemical pathways.

Authors:  G Almogy; L Stone; N Ben-Tal
Journal:  Biophys J       Date:  2001-12       Impact factor: 4.033

9.  Perfect and near-perfect adaptation in a model of bacterial chemotaxis.

Authors:  Bernardo A Mello; Yuhai Tu
Journal:  Biophys J       Date:  2003-05       Impact factor: 4.033

10.  Model of bacterial band formation in aerotaxis.

Authors:  B C Mazzag; I B Zhulin; A Mogilner
Journal:  Biophys J       Date:  2003-12       Impact factor: 4.033

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.