Literature DB >> 29111155

Drift and Behavior of E. coli Cells.

Gabriele Micali1, Rémy Colin2, Victor Sourjik3, Robert G Endres4.   

Abstract

Chemotaxis of the bacterium Escherichia coli is well understood in shallow chemical gradients, but its swimming behavior remains difficult to interpret in steep gradients. By focusing on single-cell trajectories from simulations, we investigated the dependence of the chemotactic drift velocity on attractant concentration in an exponential gradient. Whereas maxima of the average drift velocity can be interpreted within analytical linear-response theory of chemotaxis in shallow gradients, limits in drift due to steep gradients and finite number of receptor-methylation sites for adaptation go beyond perturbation theory. For instance, we found a surprising pinning of the cells to the concentration in the gradient at which cells run out of methylation sites. To validate the positions of maximal drift, we recorded single-cell trajectories in carefully designed chemical gradients using microfluidics.
Copyright © 2017 Biophysical Society. All rights reserved.

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Year:  2017        PMID: 29111155      PMCID: PMC5768514          DOI: 10.1016/j.bpj.2017.09.031

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


  33 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.  Noninvasive inference of the molecular chemotactic response using bacterial trajectories.

Authors:  Jean-Baptiste Masson; Guillaume Voisinne; Jerome Wong-Ng; Antonio Celani; Massimo Vergassola
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-17       Impact factor: 11.205

3.  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

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.  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

7.  Response rescaling in bacterial chemotaxis.

Authors:  Milena D Lazova; Tanvir Ahmed; Domenico Bellomo; Roman Stocker; Thomas S Shimizu
Journal:  Proc Natl Acad Sci U S A       Date:  2011-08-01       Impact factor: 11.205

8.  Theoretical results for chemotactic response and drift of E. coli in a weak attractant gradient.

Authors:  Melissa Reneaux; Manoj Gopalakrishnan
Journal:  J Theor Biol       Date:  2010-06-15       Impact factor: 2.691

9.  Feedback between motion and sensation provides nonlinear boost in run-and-tumble navigation.

Authors:  Junjiajia Long; Steven W Zucker; Thierry Emonet
Journal:  PLoS Comput Biol       Date:  2017-03-06       Impact factor: 4.475

10.  Dependence of bacterial chemotaxis on gradient shape and adaptation rate.

Authors:  Nikita Vladimirov; Linda Løvdok; Dirk Lebiedz; Victor Sourjik
Journal:  PLoS Comput Biol       Date:  2008-12-19       Impact factor: 4.475

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  2 in total

1.  Production and Characterization of Motile and Chemotactic Bacterial Minicells.

Authors:  Bin Ni; Remy Colin; Victor Sourjik
Journal:  ACS Synth Biol       Date:  2021-06-03       Impact factor: 5.110

2.  Maximal information transmission is compatible with ultrasensitive biological pathways.

Authors:  Gabriele Micali; Robert G Endres
Journal:  Sci Rep       Date:  2019-11-15       Impact factor: 4.379

  2 in total

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