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Assessment of Dictyostelium discoideum Response to Acute Mechanical Stimulation
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Published on: November 9, 2017

Adaptation dynamics in densely clustered chemoreceptors.

William Pontius1, Michael W Sneddon, Thierry Emonet

  • 1Department of Physics, Yale University, New Haven, Connecticut, United States of America ; Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, Connecticut, United States of America.

Plos Computational Biology
|September 27, 2013
PubMed
Summary

Spatial organization of bacterial chemotaxis receptors is crucial for adaptation. Distributive methylation leads to fluctuations, enabling robust signaling and enhanced environmental exploration.

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Area of Science:

  • Cellular Biology
  • Biophysics
  • Systems Biology

Background:

  • Transmembrane receptors often cluster in sensory systems, potentially aiding signal amplification and integration.
  • Receptor clustering impacts signaling kinetics due to the necessary localization of cytoplasmic enzymes for modification.

Purpose of the Study:

  • To investigate how spatial organization of receptors influences signaling dynamics at rest and during stimuli.
  • To model the chemotaxis pathway in Escherichia coli, focusing on adaptation mechanisms.

Main Methods:

  • Utilized a novel stochastic simulation approach.
  • Developed an analytical model to explain observed phenomena.

Main Results:

  • Demonstrated that distributive receptor methylation is essential for successful adaptation to stimuli.
  • Showed that this process leads to significant fluctuations in receptor activity in the steady state.
  • Explained how saturated enzyme kinetics and fluctuations coexist with a robustly adapted state, independent of constituent expression levels.

Conclusions:

  • Spatial clustering and distributive methylation are key for robust adaptation and functional robustness in bacterial chemotaxis.
  • Large fluctuations in receptor activity, arising from enzyme localization and saturated kinetics, may enhance cellular exploration and gradient tracking.