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Individual-Based Modeling of Bacterial Foraging with Quorum Sensing in a Time-Varying Environment

  • W. J. Tang
  • Q. H. Wu
  • J. R. Saunders
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4447)

Abstract

“Quorum sensing” has been described as “the most consequential molecular microbiology story of the last decade” [1][2]. The purpose of this paper is to study the mechanism of quorum sensing, in order to obtain a deeper understanding of how and when this mechanism works. Our study focuses on the use of an Individual-based Modeling (IbM) method to simulate this phenomenon of “cell-to-cell communication” incorporated in bacterial foraging behavior, in both intracellular and population scales. The simulation results show that this IbM approach can reflect the bacterial behaviors and population evolution in time-varying environments, and provide plausible answers to the emerging question regarding to the significance of this phenomenon of bacterial foraging behaviors.

Keywords

Quorum Sensing Gene Expression Program Population Evolution Gravity Center Core Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • W. J. Tang
    • 1
  • Q. H. Wu
    • 1
  • J. R. Saunders
    • 2
  1. 1.Department of Electrical Engineering and Electronics 
  2. 2.School of Biological Sciences The University of Liverpool, Liverpool L69 3GJU.K.

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