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Simulation of the Dynamics of Bacterial Quorum Sensing

Content Provider	IEEE Xplore Digital Library
Author	Psarras, A.I. Karafyllidis, I.G.
Copyright Year	2002
Abstract	Quorum sensing (QS) is a signaling mechanism that pathogenic bacteria use to communicate and synchronize the production of exofactors to attack their hosts. Understanding and controlling QS is an important step towards a possible solution to the growing problem of antibiotic resistance. QS is a cooperative effort of a bacterial population in which some of the bacteria do not participate. This phenomenon is usually studied using game theory and the non-participating bacteria are modeled as cheaters that exploit the production of common goods (exofactors) by other bacteria. Here, we take a different approach to study the QS dynamics of a growing bacterial population. We model the bacterial population as a growing graph and use spectral graph theory to compute the evolution of its synchronizability. We also treat each bacterium as a source of signaling molecules and use the diffusion equation to compute the signaling molecule distribution. We formulate a cost function based on Lagrangian dynamics that combines the time-like synchronization with the space-like diffusion of signaling molecules. Our results show that the presence of non-participating bacteria improves the homogeneity of the signaling molecule distribution preventing thus an early onset of exofactor production and has a positive effect on the optimization of QS signaling and on attack synchronization.
Sponsorship	IEEE Engineering in Medicine and Biology Society IEEE Systems, Man, and Cybernetics Society IEEE Nanotechnology Council IEEE Computational Intelligence Society IEEE Robotics and Automation Society IEEE Computer Society
Starting Page	440
Ending Page	446
Page Count	7
File Size	1368583
File Format	PDF
ISSN	15361241
Volume Number	14
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Microorganisms Sociology Statistics Synchronization Mathematical model Eigenvalues and eigenfunctions Production systems biology Bacterial signaling quorum sensing
Content Type	Text
Resource Type	Article
Subject	Nanoscience and Nanotechnology Medicine Bioengineering Electrical and Electronic Engineering Biomedical Engineering Computer Science Applications Biotechnology Pharmaceutical Science

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