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Bacterial Signaling01:30

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Bacterial signaling can occur within bacteria (intracellular) or between bacteria (intercellular). At times, a group of bacteria behaves like a community. To achieve this, they engage in quorum sensing, the perception of higher cell density that causes changes in gene expression. Quorum sensing involves both extracellular and intracellular signaling. The signaling cascade starts with a molecule called an autoinducer (AI). Individual bacteria produce AIs that move out of the bacterial cell...
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Immunological memory, a pivotal pillar of the adaptive immune system, is responsible for the body's ability to remember and respond more swiftly and effectively to previously encountered pathogens. This remarkable feature is what makes vaccines so effective in preventing diseases.
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Related Experiment Video

Updated: Jun 21, 2025

Time-lapse Imaging of Bacterial Swarms and the Collective Stress Response
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Phenotypic memory in quorum sensing.

Ghazaleh Ostovar1, James Q Boedicker1,2

  • 1Department of Physics and Astronomy, University of Southern California, Los Angeles, California, United States of America.

Plos Computational Biology
|July 8, 2024
PubMed
Summary
This summary is machine-generated.

Bacteria use quorum sensing (QS) for group behavior. This study shows QS has a "phenotypic" memory, influencing future responses based on past cell density, not genetics.

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Area of Science:

  • Microbiology
  • Systems Biology
  • Computational Biology

Background:

  • Quorum sensing (QS) regulates bacterial group behaviors via cell-density-dependent signaling.
  • Bacterial cells use autoinducers to monitor population density and coordinate gene expression.
  • Persistence of QS-related biomolecules can lead to a form of cellular memory.

Purpose of the Study:

  • To investigate the presence and characteristics of phenotypic memory in bacterial quorum sensing.
  • To determine the conditions influencing the strength and impact of QS-mediated memory.
  • To understand how past stimuli affect future gene regulatory dynamics in QS systems.

Main Methods:

  • Theoretical study employing numerical simulations with ordinary differential equations.
  • Analytical modeling of gene expression in response to dynamic changes in cell density and autoinducer concentrations.
  • Examination of various cellular parameters influencing QS memory strength and regulatory dynamics.

Main Results:

  • Quorum sensing (QS) memory transiently affects the expression of QS-responsive genes.
  • The impact of QS memory is highly dependent on the nature of cell density perturbations.
  • Cellular parameters like gene expression fold change, autoinducer synthesis, activation threshold, and growth rate significantly modulate QS memory effects.

Conclusions:

  • Bacterial quorum sensing exhibits phenotypic memory, a non-genetic form of cellular memory.
  • This memory influences gene expression dynamics, with its effects varying based on perturbation type and cellular parameters.
  • Understanding QS memory is crucial for predicting bacterial responses to environmental changes and for developing novel antimicrobial strategies.