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  Multiple sources of slow activity fluctuations in a bacterial chemosensory network

Colin, R., Rosazza, C., Vaknin, A., & Sourjik, V. (2017). Multiple sources of slow activity fluctuations in a bacterial chemosensory network. eLife, 6:e26796. doi:10.7554/eLife.26796.

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Colin, Rémy1, Autor                 
Rosazza, Christelle, Autor
Vaknin, Ady, Autor
Sourjik, Victor2, 3, Autor                 
Affiliations:
1Department of Systems and Synthetic Microbiology, Max Planck Institute for Terrestrial Microbiology, Max Planck Society, ou_3266288              
2Microbial Networks, Department of Systems and Synthetic Microbiology, Max Planck Institute for Terrestrial Microbiology, Max Planck Society, ou_3266309              
3Center for Synthetic Microbiology (SYNMIKRO), ou_persistent22              

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 Zusammenfassung: 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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Sprache(n): eng - English
 Datum: 2017-12
 Publikationsstatus: Erschienen
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 Identifikatoren: eDoc: 735488
DOI: 10.7554/eLife.26796
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Titel: eLife
Genre der Quelle: Zeitschrift
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Seiten: - Band / Heft: - Artikelnummer: 6:e26796 Start- / Endseite: - Identifikator: -