Bacterial Quorum Sensing and Microbial Community Interactions

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Issue Date
2018-05-22Author
Abisado, Rhea G.
Benomar, Saida
Klaus, Jennifer R.
Dandekar, Ajai A.
Josephine R. Chandler
Publisher
American Society for Microbiology
Type
Article
Article Version
Scholarly/refereed, publisher version
Rights
Copyright © 2018 Abisado et al. This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.
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Show full item recordAbstract
Many bacteria use a cell-cell communication system called quorum sensing to coordinate population density-dependent changes in behavior. Quorum sensing involves production of and response to diffusible or secreted signals, which can vary substantially across different types of bacteria. In many species, quorum sensing modulates virulence functions and is important for pathogenesis. Over the past half-century, there has been a significant accumulation of knowledge of the molecular mechanisms, signal structures, gene regulons, and behavioral responses associated with quorum-sensing systems in diverse bacteria. More recent studies have focused on understanding quorum sensing in the context of bacterial sociality. Studies of the role of quorum sensing in cooperative and competitive microbial interactions have revealed how quorum sensing coordinates interactions both within a species and between species. Such studies of quorum sensing as a social behavior have relied on the development of “synthetic ecological” models that use nonclonal bacterial populations. In this review, we discuss some of these models and recent advances in understanding how microbes might interact with one another using quorum sensing. The knowledge gained from these lines of investigation has the potential to guide studies of microbial sociality in natural settings and the design of new medicines and therapies to treat bacterial infections.
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Citation
Abisado, R. G., Benomar, S., Klaus, J. R., Dandekar, A. A., & Chandler, J. R. (2018). Bacterial Quorum Sensing and Microbial Community Interactions. mBio, 9(3), e02331–17. http://doi.org/10.1128/mBio.02331-17
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