Literature DB >> 14597724

Motility of Escherichia coli cells in clusters formed by chemotactic aggregation.

Nikhil Mittal1, Elena O Budrene, Michael P Brenner, Alexander Van Oudenaarden.   

Abstract

Cells of Escherichia coli under conditions of certain cellular stresses excrete attractants. Cells of chemotactic strains respond to these excreted signaling molecules by moving up their local concentration gradients and forming different types of stable multicellular structures. Multicellular clusters are the simplest among these structures. Fluorescence microscopy was used to characterize the macroscopic properties of the clusters and to track individual E. coli cells in the clusters in real time. A quantitative analysis reveals that the equilibrium cluster size is only weakly dependent on the total number of cells in the cluster. The tumble frequency of an individual cell strongly depends on the position of the cell within the cluster and its direction of movement. In the central region of the cluster, tumbles are strongly suppressed whereas near the edge of the cluster, the tumble frequency is restored for exiting cells, thereby preventing them from leaving the cluster, resulting in the maintenance of sharp cluster boundaries. A simulation based on a model of the sensory memory of E. coli reproduces the experimental data and indicates that the tumble rate and consequently the morphology of the cluster are determined by the sensory memory of cells.

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Year:  2003        PMID: 14597724      PMCID: PMC263772          DOI: 10.1073/pnas.2233626100

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  19 in total

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  38 in total

1.  Chemotactic patterns without chemotaxis.

Authors:  Michael P Brenner
Journal:  Proc Natl Acad Sci U S A       Date:  2010-06-18       Impact factor: 11.205

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Authors:  Damon A Clark; Lars C Grant
Journal:  Proc Natl Acad Sci U S A       Date:  2005-06-20       Impact factor: 11.205

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-05-24       Impact factor: 11.205

5.  Phase separation explains a new class of self-organized spatial patterns in ecological systems.

Authors:  Quan-Xing Liu; Arjen Doelman; Vivi Rottschäfer; Monique de Jager; Peter M J Herman; Max Rietkerk; Johan van de Koppel
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-01       Impact factor: 11.205

6.  Three-dimensional two-component velocity measurement of the flow field induced by the Vorticella picta microorganism using a confocal microparticle image velocimetry technique.

Authors:  Moeto Nagai; Masamichi Oishi; Marie Oshima; Hiroshi Asai; Hiroyuki Fujita
Journal:  Biomicrofluidics       Date:  2009-03-26       Impact factor: 2.800

7.  The Intersection of Theory and Application in Elucidating Pattern Formation in Developmental Biology.

Authors:  Hans G Othmer; Kevin Painter; David Umulis; Chuan Xue
Journal:  Math Model Nat Phenom       Date:  2009-01-01       Impact factor: 4.157

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Authors:  Jaykrishna Singh; Fazle Hussain; Paolo Decuzzi
Journal:  Comput Methods Biomech Biomed Engin       Date:  2013-05-08       Impact factor: 1.763

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Authors:  P-G de Gennes
Journal:  Eur Biophys J       Date:  2004-07-15       Impact factor: 1.733

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Authors:  Chuan Xue; Hans G Othmer
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