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Signal Transduction Network Principles Underlying Bacterial Collective Behaviors

期刊

ANNUAL REVIEW OF MICROBIOLOGY
卷 76, 期 -, 页码 235-257

出版社

ANNUAL REVIEWS
DOI: 10.1146/annurev-micro-042922-122020

关键词

bacterial group behavior; signal transduction; quorum sensing; c-di-GMP; specificity; sensitivity; feedback

资金

  1. National Science Foundation (NSF) through the Center for the Physics of Biological Function [PHY-1734030]
  2. NSF [MCB-2043238, MCB-1853602]
  3. National Institutes ofHealth grants [1R21AI144223, 2R37GM065859, GM082938, 1K99AI158939]
  4. Howard Hughes Medical Institute

向作者/读者索取更多资源

This article discusses the network features and mechanisms of bacterial collective behaviors, including quorum sensing and second-messenger cyclic dimeric GMP (c-di-GMP) signal transduction. The article emphasizes ligand specificity and sensitivity, signal integration mechanisms, single-input sensory systems versus coincidence detectors, and tuning of input-output dynamics via feedback regulation. It summarizes how different features of signal transduction systems allow groups of bacteria to successfully interpret and collectively react to dynamically changing environments.
Bacteria orchestrate collective behaviors and accomplish feats that would be unsuccessful if carried out by a lone bacterium. Processes undertaken by groups of bacteria include bioluminescence, biofilm formation, virulence factor production, and release of public goods that are shared by the community. Collective behaviors are controlled by signal transduction networks that integrate sensory information and transduce the information internally. Here, we discuss network features and mechanisms that, even in the face of dramatically changing environments, drive precise execution of bacterial group behaviors. We focus on representative quorum-sensing and second-messenger cyclic dimeric GMP (c-di-GMP) signal relays. We highlight ligand specificity versus sensitivity, how small-molecule ligands drive discrimination of kin versus nonkin, signal integration mechanisms, single-input sensory systems versus coincidence detectors, and tuning of input-output dynamics via feedback regulation. We summarize how different features of signal transduction systems allow groups of bacteria to successfully interpret and collectively react to dynamically changing environments.

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