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Related Concept Videos

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Related Experiment Video

Updated: Apr 20, 2026

Investigating Flagella-Driven Motility in Escherichia coli by Applying Three Established Techniques in a Series
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The physics of bacterial decision making.

Eshel Ben-Jacob1, Mingyang Lu2, Daniel Schultz3

  • 1Center for Theoretical Biological Physics, Rice University Houston, TX, USA ; Department of Biosciences, Rice University Houston, TX, USA ; School of Physics and Astronomy and The Sagol School of Neuroscience, Tel-Aviv University Tel-Aviv, Israel.

Frontiers in Cellular and Infection Microbiology
|November 18, 2014
PubMed
Summary

Bacteria collectively decide between sporulation and competence using a gene network. Physics approaches reveal key modules like a stochastic switch and adaptable timer, highlighting noise

Keywords:
Bacillus subtiliscell communicationcell fate determinationcomputational modelinggene circuitsnoise managementsporulation and competence

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Area of Science:

  • Microbiology
  • Systems Biology
  • Biophysics

Background:

  • Bacteria exhibit collective cell fate determination (sporulation vs. competence) under stress.
  • This decision is regulated by a complex gene network, posing a challenge for understanding.

Purpose of the Study:

  • To simplify the bacterial decision-making gene network using physics-based approaches.
  • To identify fundamental modules and principles governing bacterial cell fate decisions.

Main Methods:

  • Applied physics principles to analyze the bacterial gene network.
  • Modeled key functional modules: stochastic switch, adaptable timer, sensing units, communication module, and oscillating gate.

Main Results:

  • Identified five core functional modules within the gene network.
  • Characterized an oscillating gate with unique noise management and temporal control features.
  • Demonstrated that cell-cell variability and noise play crucial roles in collective decision-making.

Conclusions:

  • A physics-based approach effectively simplifies and elucidates complex gene regulatory networks.
  • The bacterial decision-making network exhibits robust dynamics and noise filtering capabilities.
  • Stochasticity and variability are functionally important in collective bacterial behavior.