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Related Experiment Videos

Predicting temporal fluctuations in an intracellular signalling pathway

C J Morton-Firth1, D Bray

  • 1Department of Zoology, University of Cambridge, U.K..

Journal of Theoretical Biology
|June 17, 1998
PubMed
Summary

This study models fluctuations in bacterial chemotaxis signaling molecules. Results suggest a simple threshold model doesn't explain motor switching, but filtering CheYp fluctuations may align with observed swimming behavior.

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Area of Science:

  • Microbiology
  • Biophysics
  • Computational Biology

Background:

  • Coliform bacteria use chemotaxis signaling pathways to navigate chemical gradients.
  • The CheYp protein plays a crucial role in regulating flagellar motor rotation direction.
  • Understanding molecular fluctuations is key to deciphering bacterial motility.

Purpose of the Study:

  • To predict molecular number fluctuations in bacterial chemotaxis signaling.
  • To investigate the temporal dynamics of CheYp molecules.
  • To assess the role of molecular noise in flagellar motor switching.

Main Methods:

  • Developed a novel stochastic-based computational program.
  • Simulated individual signaling molecules as interacting software objects.

Related Experiment Videos

  • Derived interaction probabilities from experimental concentration and rate constants.

    • Main Results:

    • Simulated CheYp molecules exhibited random fluctuations around deterministic averages.
    • Fluctuation amplitude and duration increased with reduced simulated volume.
    • Fluctuation duration (80.7 ms at 10% bacterial volume) was shorter than observed motor switching times (2.6 s).

    Conclusions:

    • Results challenge a simple threshold-crossing model for bacterial flagellar motor switching.
    • Filtering CheYp fluctuations can yield temporal distributions resembling observed swimming behavior.
    • Further research is needed to understand the implications for motor rotation control.