Title | Signal Transduction Network Principles Underlying Bacterial Collective Behaviors. |
Publication Type | Journal Article |
Year of Publication | 2022 |
Authors | Bridges, AA, Prentice, JA, Wingreen, NS, Bassler, BL |
Journal | Annu Rev Microbiol |
Volume | 76 |
Pagination | 235-257 |
Date Published | 2022 Sep 08 |
ISSN | 1545-3251 |
Keywords | Bacteria, Bacterial Proteins, Biofilms, Cyclic GMP, Gene Expression Regulation, Bacterial, Mass Gatherings, Quorum Sensing, Signal Transduction |
Abstract | <p>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.</p> |
DOI | 10.1146/annurev-micro-042922-122020 |
Alternate Journal | Annu Rev Microbiol |
PubMed ID | 35609948 |
PubMed Central ID | PMC9463083 |
Grant List | K99 AI158939 / AI / NIAID NIH HHS / United States R37 GM065859 / GM / NIGMS NIH HHS / United States / HHMI / Howard Hughes Medical Institute / United States R01 GM082938 / GM / NIGMS NIH HHS / United States R21 AI146223 / AI / NIAID NIH HHS / United States |