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Physical limits on bacterial navigation in dynamic environments.

Andrew M Hein1, Douglas R Brumley2, Francesco Carrara2

  • 1Department of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USA ahein@princeton.edu.

Journal of the Royal Society, Interface
|January 15, 2016
PubMed
Summary
This summary is machine-generated.

Bacteria navigate chemical pulses by sensing temporal gradients. Physical limits dictate accuracy, defining a dynamic region around hotspots where bacteria can detect cues above noise.

Keywords:
chemokinesischemotaxisheterogeneitymicrobial ecologynavigation

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Area of Science:

  • Microbiology
  • Biophysics
  • Environmental Science

Background:

  • Bacteria navigate chemical signals in dynamic environments.
  • Chemical signals often appear as localized pulses.
  • Environmental factors like diffusion and mixing alter chemical landscapes.

Purpose of the Study:

  • To investigate the physical limits of temporal gradient sensing in chemotactic bacteria.
  • To define the conditions under which bacteria can accurately measure chemical cues.
  • To explore the role of chemokinesis in enhancing bacterial chemotaxis in dynamic environments.

Main Methods:

  • Mathematical modeling of bacterial temporal gradient sensing.
  • Analysis of bacterial navigation within dynamic chemical landscapes.
  • Framework development for partitioning bacterial populations based on proximity to chemical hotspots.

Main Results:

  • Physical limits on temporal gradient sensing accuracy govern bacterial navigation.
  • Bacteria can only resolve chemical gradients above noise within a predictable dynamic region around pulses.
  • The boundary of this dynamic region expands with the square root of time before contracting.
  • Chemokinesis may enhance chemotactic accuracy and sensitivity in dynamic environments.

Conclusions:

  • Bacterial chemotaxis accuracy is fundamentally limited by physical constraints on gradient sensing.
  • A dynamic region defines the 'navigable' space around chemical hotspots.
  • Understanding these limits is crucial for predicting bacterial behavior in complex aquatic ecosystems.