Literature DB >> 9449320

Origins of individual swimming behavior in bacteria.

M D Levin1, C J Morton-Firth, W N Abouhamad, R B Bourret, D Bray.   

Abstract

Cells in a cloned population of coliform bacteria exhibit a wide range of swimming behaviors--a form of non-genetic individuality. We used computer models to examine the proposition that these variations are due to differences in the number of chemotaxis signaling molecules from one cell to the next. Simulations were run in which the concentrations of seven gene products in the chemotaxis pathway were changed either deterministically or stochastically, with the changes derived from independent normal distributions. Computer models with two adaptation mechanisms were compared with experimental results from observations on individuals drawn from genetically identical populations. The range of swimming behavior predicted for cells with a standard deviation of protein copy number per cell of 10% of the mean was found to match closely the experimental range of the wild-type population. We also make predictions for the swimming behaviors of mutant strains lacking the adaptational mechanism that can be tested experimentally.

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Year:  1998        PMID: 9449320      PMCID: PMC1299372          DOI: 10.1016/S0006-3495(98)77777-X

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


  23 in total

1.  Role of the CheW protein in bacterial chemotaxis: overexpression is equivalent to absence.

Authors:  D A Sanders; B Mendez; D E Koshland
Journal:  J Bacteriol       Date:  1989-11       Impact factor: 3.490

2.  Correlated measurements of DNA, RNA, and protein in individual cells by flow cytometry.

Authors:  H A Crissman; Z Darzynkiewicz; R A Tobey; J A Steinkamp
Journal:  Science       Date:  1985-06-14       Impact factor: 47.728

3.  Non-genetic individuality: chance in the single cell.

Authors:  J L Spudich; D E Koshland
Journal:  Nature       Date:  1976-08-05       Impact factor: 49.962

4.  A model of excitation and adaptation in bacterial chemotaxis.

Authors:  P A Spiro; J S Parkinson; H G Othmer
Journal:  Proc Natl Acad Sci U S A       Date:  1997-07-08       Impact factor: 11.205

5.  A mechanism for exact sensory adaptation based on receptor modification.

Authors:  L A Segel; A Goldbeter; P N Devreotes; B E Knox
Journal:  J Theor Biol       Date:  1986-05-21       Impact factor: 2.691

6.  Chemotaxis in Escherichia coli analysed by three-dimensional tracking.

Authors:  H C Berg; D A Brown
Journal:  Nature       Date:  1972-10-27       Impact factor: 49.962

7.  Cell heterogeneity during the cell cycle.

Authors:  Z Darzynkiewicz; H Crissman; F Traganos; J Steinkamp
Journal:  J Cell Physiol       Date:  1982-12       Impact factor: 6.384

8.  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

9.  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

10.  Partition of protein (mass) to sister cell pairs at mitosis: a re-evaluation.

Authors:  R Sennerstam
Journal:  J Cell Sci       Date:  1988-06       Impact factor: 5.285

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  33 in total

Review 1.  Single-cell microbiology: tools, technologies, and applications.

Authors:  Byron F Brehm-Stecher; Eric A Johnson
Journal:  Microbiol Mol Biol Rev       Date:  2004-09       Impact factor: 11.056

2.  Stochastic processes influence stationary-phase decisions in Bacillus subtilis.

Authors:  Heather Maughan; Wayne L Nicholson
Journal:  J Bacteriol       Date:  2004-04       Impact factor: 3.490

3.  Bridging the gap between stochastic and deterministic regimes in the kinetic simulations of the biochemical reaction networks.

Authors:  Jacek Puchałka; Andrzej M Kierzek
Journal:  Biophys J       Date:  2004-03       Impact factor: 4.033

4.  Collective bacterial dynamics revealed using a three-dimensional population-scale defocused particle tracking technique.

Authors:  Mingming Wu; John W Roberts; Sue Kim; Donald L Koch; Matthew P DeLisa
Journal:  Appl Environ Microbiol       Date:  2006-07       Impact factor: 4.792

5.  Cellular asymmetry and individuality in directional sensing.

Authors:  Azadeh Samadani; Jerome Mettetal; Alexander van Oudenaarden
Journal:  Proc Natl Acad Sci U S A       Date:  2006-07-24       Impact factor: 11.205

6.  Input output robustness in simple bacterial signaling systems.

Authors:  Guy Shinar; Ron Milo; María Rodríguez Martínez; Uri Alon
Journal:  Proc Natl Acad Sci U S A       Date:  2007-12-06       Impact factor: 11.205

7.  Bacterial strategies for chemotaxis response.

Authors:  Antonio Celani; Massimo Vergassola
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-04       Impact factor: 11.205

8.  Robustness in Escherichia coli glutamate and glutamine synthesis studied by a kinetic model.

Authors:  Aníbal Lodeiro; Augusto Melgarejo
Journal:  J Biol Phys       Date:  2008-08-30       Impact factor: 1.365

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.  Single-copy green fluorescent protein gene fusions allow accurate measurement of Salmonella gene expression in vitro and during infection of mammalian cells.

Authors:  Isabelle Hautefort; Maria José Proença; Jay C D Hinton
Journal:  Appl Environ Microbiol       Date:  2003-12       Impact factor: 4.792

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