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Multiple sources of slow activity fluctuations in a bacterial chemosensory network

Cellular networks are intrinsically subject to stochastic fluctuations, but analysis of the resulting noise remained largely limited to gene expression. The pathway controlling chemotaxis of Escherichia coli provides one example where posttranslational signaling noise has been deduced from cellular...

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Autores principales: Colin, Remy, Rosazza, Christelle, Vaknin, Ady, Sourjik, Victor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809148/
https://www.ncbi.nlm.nih.gov/pubmed/29231168
http://dx.doi.org/10.7554/eLife.26796
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author Colin, Remy
Rosazza, Christelle
Vaknin, Ady
Sourjik, Victor
author_facet Colin, Remy
Rosazza, Christelle
Vaknin, Ady
Sourjik, Victor
author_sort Colin, Remy
collection PubMed
description Cellular networks are intrinsically subject to stochastic fluctuations, but analysis of the resulting noise remained largely limited to gene expression. The pathway controlling chemotaxis of Escherichia coli provides one example where posttranslational signaling noise has been deduced from cellular behavior. This noise was proposed to result from stochasticity in chemoreceptor methylation, and it is believed to enhance environment exploration by bacteria. Here we combined single-cell FRET measurements with analysis based on the fluctuation-dissipation theorem (FDT) to characterize origins of activity fluctuations within the chemotaxis pathway. We observed surprisingly large methylation-independent thermal fluctuations of receptor activity, which contribute to noise comparably to the energy-consuming methylation dynamics. Interactions between clustered receptors involved in amplification of chemotactic signals are also necessary to produce the observed large activity fluctuations. Our work thus shows that the high response sensitivity of this cellular pathway also increases its susceptibility to noise, from thermal and out-of-equilibrium processes.
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spelling pubmed-58091482018-02-14 Multiple sources of slow activity fluctuations in a bacterial chemosensory network Colin, Remy Rosazza, Christelle Vaknin, Ady Sourjik, Victor eLife Computational and Systems Biology Cellular networks are intrinsically subject to stochastic fluctuations, but analysis of the resulting noise remained largely limited to gene expression. The pathway controlling chemotaxis of Escherichia coli provides one example where posttranslational signaling noise has been deduced from cellular behavior. This noise was proposed to result from stochasticity in chemoreceptor methylation, and it is believed to enhance environment exploration by bacteria. Here we combined single-cell FRET measurements with analysis based on the fluctuation-dissipation theorem (FDT) to characterize origins of activity fluctuations within the chemotaxis pathway. We observed surprisingly large methylation-independent thermal fluctuations of receptor activity, which contribute to noise comparably to the energy-consuming methylation dynamics. Interactions between clustered receptors involved in amplification of chemotactic signals are also necessary to produce the observed large activity fluctuations. Our work thus shows that the high response sensitivity of this cellular pathway also increases its susceptibility to noise, from thermal and out-of-equilibrium processes. eLife Sciences Publications, Ltd 2017-12-12 /pmc/articles/PMC5809148/ /pubmed/29231168 http://dx.doi.org/10.7554/eLife.26796 Text en © 2017, Colin et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Computational and Systems Biology
Colin, Remy
Rosazza, Christelle
Vaknin, Ady
Sourjik, Victor
Multiple sources of slow activity fluctuations in a bacterial chemosensory network
title Multiple sources of slow activity fluctuations in a bacterial chemosensory network
title_full Multiple sources of slow activity fluctuations in a bacterial chemosensory network
title_fullStr Multiple sources of slow activity fluctuations in a bacterial chemosensory network
title_full_unstemmed Multiple sources of slow activity fluctuations in a bacterial chemosensory network
title_short Multiple sources of slow activity fluctuations in a bacterial chemosensory network
title_sort multiple sources of slow activity fluctuations in a bacterial chemosensory network
topic Computational and Systems Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5809148/
https://www.ncbi.nlm.nih.gov/pubmed/29231168
http://dx.doi.org/10.7554/eLife.26796
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