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Cited by 218

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Quorum sensing and policing of Pseudomonas aeruginosa social cheaters

Open access
Wang, Meizhen, Schaefer, Amy L., Dandekar, Ajai A., Greenberg, E. Peter·2015·Proceedings of the National Academy of Sciences

Abstract

Significance: Cooperation is subject to social cheating. Cheats benefit from the activity of cooperators and gain a fitness advantage. One way higher organisms prevent infiltration by cheats is policing: Cooperators penalize cheats at some cost to themselves. Cooperating groups of bacteria are susceptible to social cheating, but little is known about bacterial policing. We have built on an understanding a quorum-sensing regulated cooperative activity in Pseudomonas aeruginosa to show that quorum sensing control of and resistance to cyanide production serves as a cheater policing mechanism. Understanding how bacteria cooperate and how they control social cheats has evolutionary implications, provides important insights about ways to control bacterial populations, and has ramifications with respect to synthetic system design.

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Crossref · 10.1073/pnas.1500704112

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Metadata

Authors
Wang, M., Schaefer, A. L., Dandekar, A. A., & Greenberg, E. P.
Venue
Proceedings of the National Academy of Sciences
Published
2015-02-02
Volume
112
Issue
7
Pages
2187-2191
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W1977809773
Cited by
218
References
2
FWCI
9.13
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Quorum sensing and policing of Pseudomonas aeruginosa social cheaters. https://app.cochat.ai/papers/10.1073/pnas.1500704112
The paper
Wang, M., Schaefer, A. L., Dandekar, A. A., & Greenberg, E. P. (2015). Quorum sensing and policing of Pseudomonas aeruginosa social cheaters. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1500704112

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.