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From single cells to communities: Mathematical perspectives on bacterial quorum sensing
Sara Sadr1, Bahram Zargar2, Marc G Aucoin1
1Department of Chemical Engineering, University of Waterloo, Waterloo, Ontario, Canada.
Computational and Structural Biotechnology Journal
|October 27, 2025
Summary
Quorum sensing (QS) allows bacteria to communicate and coordinate behaviors using signaling molecules. Mathematical models are crucial for understanding QS dynamics and developing new applications in medicine and industry.
Area of Science:
- Microbiology
- Systems Biology
- Computational Biology
Background:
- Microbial communities exhibit complex social behaviors, including communication and cooperation, essential for survival.
- Quorum sensing (QS) is a key bacterial communication mechanism involving autoinducer (AI) signaling molecules to regulate gene expression based on population density.
Purpose of the Study:
- To provide an overview of mathematical models used to study Quorum Sensing (QS) dynamics.
- To highlight the contributions and limitations of various modeling approaches in understanding QS.
- To explore the future potential of QS modeling in diverse applications.
Main Methods:
- Review of deterministic, stochastic, non-spatial, and spatial mathematical modeling frameworks applied to QS.
- Analysis of how these models elucidate QS mechanisms and dynamics at single-cell and population levels.
Main Results:
- Mathematical modeling is indispensable for unraveling the quantitative challenges in QS dynamics.
- Different modeling approaches offer unique insights into the complexities of bacterial communication.
Conclusions:
- QS modeling is vital for advancing synthetic biology, antimicrobial strategies, and environmental management.
- Future research using QS models can lead to novel ways to manipulate bacterial behavior for biotechnological and medical benefits.
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