Literature DB >> 20118262

Responses of Escherichia coli bacteria to two opposing chemoattractant gradients depend on the chemoreceptor ratio.

Yevgeniy Kalinin1, Silke Neumann, Victor Sourjik, Mingming Wu.   

Abstract

Escherichia coli chemotaxis has long served as a simple model of environmental signal processing, and bacterial responses to single chemical gradients are relatively well understood. Less is known about the chemotactic behavior of E. coli in multiple chemical gradients. In their native environment, cells are often exposed to multiple chemical stimuli. Using a recently developed microfluidic chemotaxis device, we exposed E. coli cells to two opposing but equally potent gradients of major attractants, methyl-aspartate and serine. The responses of E. coli cells demonstrated that chemotactic decisions depended on the ratio of the respective receptor number of Tar/Tsr. In addition, the ratio of Tar to Tsr was found to vary with cells' growth conditions, whereby it depended on the culture density but not on the growth duration. These results provide biological insights into the decision-making processes of chemotactic bacteria that are subjected to multiple chemical stimuli and demonstrate the importance of the cellular microenvironment in determining phenotypic behavior.

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Year:  2010        PMID: 20118262      PMCID: PMC2838042          DOI: 10.1128/JB.01507-09

Source DB:  PubMed          Journal:  J Bacteriol        ISSN: 0021-9193            Impact factor:   3.490


  16 in total

1.  A sensitive, versatile microfluidic assay for bacterial chemotaxis.

Authors:  Hanbin Mao; Paul S Cremer; Michael D Manson
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-18       Impact factor: 11.205

2.  Functional interactions between receptors in bacterial chemotaxis.

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

3.  A concentration-dependent switch in the bacterial response to temperature.

Authors:  Hanna Salman; Albert Libchaber
Journal:  Nat Cell Biol       Date:  2007-08-12       Impact factor: 28.824

Review 4.  Overview of mathematical approaches used to model bacterial chemotaxis II: bacterial populations.

Authors:  M J Tindall; P K Maini; S L Porter; J P Armitage
Journal:  Bull Math Biol       Date:  2008-07-19       Impact factor: 1.758

5.  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

6.  Collaborative signaling by mixed chemoreceptor teams in Escherichia coli.

Authors:  Peter Ames; Claudia A Studdert; Rebecca H Reiser; John S Parkinson
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

7.  Logarithmic sensing in Escherichia coli bacterial chemotaxis.

Authors:  Yevgeniy V Kalinin; Lili Jiang; Yuhai Tu; Mingming Wu
Journal:  Biophys J       Date:  2009-03-18       Impact factor: 4.033

8.  An agarose-based microfluidic platform with a gradient buffer for 3D chemotaxis studies.

Authors:  Ulrike Haessler; Yevgeniy Kalinin; Melody A Swartz; Mingming Wu
Journal:  Biomed Microdevices       Date:  2009-08       Impact factor: 2.838

9.  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

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

Authors:  Silke Neumann; Clinton H Hansen; Ned S Wingreen; Victor Sourjik
Journal:  EMBO J       Date:  2010-09-10       Impact factor: 11.598

Review 3.  Spatial organization in bacterial chemotaxis.

Authors:  Victor Sourjik; Judith P Armitage
Journal:  EMBO J       Date:  2010-08-18       Impact factor: 11.598

Review 4.  Live from under the lens: exploring microbial motility with dynamic imaging and microfluidics.

Authors:  Kwangmin Son; Douglas R Brumley; Roman Stocker
Journal:  Nat Rev Microbiol       Date:  2015-12       Impact factor: 60.633

5.  Linear conversion of pressure into concentration, rapid switching of concentration, and generation of linear ramps of concentration in a microfluidic device.

Authors:  Micha Adler; Alex Groisman
Journal:  Biomicrofluidics       Date:  2012-04-13       Impact factor: 2.800

Review 6.  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

7.  Precision and variability in bacterial temperature sensing.

Authors:  Anna Yoney; Hanna Salman
Journal:  Biophys J       Date:  2015-05-19       Impact factor: 4.033

8.  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

Review 9.  Microfluidics expanding the frontiers of microbial ecology.

Authors:  Roberto Rusconi; Melissa Garren; Roman Stocker
Journal:  Annu Rev Biophys       Date:  2014       Impact factor: 12.981

10.  Chemotactic response and adaptation dynamics in Escherichia coli.

Authors:  Diana Clausznitzer; Olga Oleksiuk; Linda Løvdok; Victor Sourjik; Robert G Endres
Journal:  PLoS Comput Biol       Date:  2010-05-20       Impact factor: 4.475

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