Mechanisms of Virulence Reprogramming in Bacterial Pathogens.

c-di-GMP interkingdom cell–cell communication quorum sensing two-component system virulence programming

Journal

Annual review of microbiology
ISSN: 1545-3251
Titre abrégé: Annu Rev Microbiol
Pays: United States
ID NLM: 0372370

Informations de publication

Date de publication:
15 09 2023
Historique:
medline: 18 9 2023
pubmed: 5 7 2023
entrez: 5 7 2023
Statut: ppublish

Résumé

Bacteria are single-celled organisms that carry a comparatively small set of genetic information, typically consisting of a few thousand genes that can be selectively activated or repressed in an energy-efficient manner and transcribed to encode various biological functions in accordance with environmental changes. Research over the last few decades has uncovered various ingenious molecular mechanisms that allow bacterial pathogens to sense and respond to different environmental cues or signals to activate or suppress the expression of specific genes in order to suppress host defenses and establish infections. In the setting of infection, pathogenic bacteria have evolved various intelligent mechanisms to reprogram their virulence to adapt to environmental changes and maintain a dominant advantage over host and microbial competitors in new niches. This review summarizes the bacterial virulence programming mechanisms that enable pathogens to switch from acute to chronic infection, from local to systemic infection, and from infection to colonization. It also discusses the implications of these findings for the development of new strategies to combat bacterial infections.

Identifiants

pubmed: 37406345
doi: 10.1146/annurev-micro-032521-025954
doi:

Types de publication

Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

561-581

Auteurs

Jianuan Zhou (J)

Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Center, South China Agricultural University, Guangzhou, China; email: lhzhang01@scau.edu.cn.

Hongmei Ma (H)

Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Center, South China Agricultural University, Guangzhou, China; email: lhzhang01@scau.edu.cn.

Lianhui Zhang (L)

Guangdong Laboratory for Lingnan Modern Agriculture, Guangdong Province Key Laboratory of Microbial Signals and Disease Control, Integrative Microbiology Research Center, South China Agricultural University, Guangzhou, China; email: lhzhang01@scau.edu.cn.

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Classifications MeSH