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Interdependence of behavioural variability and response to small stimuli in bacteria

Author

Listed:
  • Heungwon Park

    (The James Franck Institute, The Institute for Biophysical Dynamics, University of Chicago)

  • William Pontius

    (Cellular, Yale University)

  • Calin C. Guet

    (FAS Center for Systems Biology, and School of Engineering and Applied Sciences, Harvard University)

  • John F. Marko

    (Northwestern University)

  • Thierry Emonet

    (Cellular, Yale University)

  • Philippe Cluzel

    (FAS Center for Systems Biology, and School of Engineering and Applied Sciences, Harvard University)

Abstract

Bacterial reaction to small stimuli In his study of Brownian motion, Albert Einstein realized that the random molecular movements of a substance at rest should also affect, for example, the drag it opposes to a particle pushed through it. This was later generalized as the fluctuation-response theorem, but whether it applies to living cells, which operate far from equilibrium, remained an open question. Taking advantage of the fine-scale measurements possible in the study of bacterial chemotaxis, Park et al. show that the fluctuation-response theorem does apply in the relationship between the temporal fluctuations of cellular behaviour (noise) in single cells and the cellular response to an external stimulus. They suggest ways to determine which features in the biochemical network couple its internal states with its responses to external stimuli.

Suggested Citation

  • Heungwon Park & William Pontius & Calin C. Guet & John F. Marko & Thierry Emonet & Philippe Cluzel, 2010. "Interdependence of behavioural variability and response to small stimuli in bacteria," Nature, Nature, vol. 468(7325), pages 819-823, December.
    • Handle: RePEc:nat:nature:v:468:y:2010:i:7325:d:10.1038_nature09551
    DOI: 10.1038/nature09551
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    Cited by:

    1. Yann S Dufour & Sébastien Gillet & Nicholas W Frankel & Douglas B Weibel & Thierry Emonet, 2016. "Direct Correlation between Motile Behavior and Protein Abundance in Single Cells," PLOS Computational Biology, Public Library of Science, vol. 12(9), pages 1-25, September.

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