Toxinome-the bacterial protein toxin database.

bacterial toxins database effectors microbial toxins protein toxins toxin-antitoxin toxins

Journal

mBio
ISSN: 2150-7511
Titre abrégé: mBio
Pays: United States
ID NLM: 101519231

Informations de publication

Date de publication:
20 Dec 2023
Historique:
medline: 20 12 2023
pubmed: 20 12 2023
entrez: 20 12 2023
Statut: aheadofprint

Résumé

Microbes use protein toxins as important tools to attack neighboring cells, microbial or eukaryotic, and for self-killing when attacked by viruses. These toxins work through different mechanisms to inhibit cell growth or kill cells. Microbes also use antitoxin proteins to neutralize the toxin activities. Here, we developed a comprehensive database called Toxinome of nearly two million toxins and antitoxins that are encoded in 59,475 bacterial genomes. We described the distribution of bacterial toxins and identified that they are depleted by bacteria that live in hot and cold temperatures. We found 5,161 cases in which toxins and antitoxins are densely clustered in bacterial genomes and termed these areas "Toxin Islands." The Toxinome database is a useful resource for anyone interested in toxin biology and evolution, and it can guide the discovery of new toxins.

Identifiants

pubmed: 38117054
doi: 10.1128/mbio.01911-23
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0191123

Auteurs

Aleks Danov (A)

Department of Plant Pathology and Microbiology, Institute of Environmental Science, The Faculty of Agriculture, Food, and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.

Ofir Segev (O)

Department of Plant Pathology and Microbiology, Institute of Environmental Science, The Faculty of Agriculture, Food, and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.

Avi Bograd (A)

Department of Plant Pathology and Microbiology, Institute of Environmental Science, The Faculty of Agriculture, Food, and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.

Yedidya Ben Eliyahu (Y)

Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, Israel.

Noam Dotan (N)

Department of Brain Sciences, Weizmann Institute of Science, Rehovot, Israel.

Tommy Kaplan (T)

School of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
Department of Developmental Biology and Cancer Research, Faculty of Medicine, The Hebrew University of Jerusalem, Jerusalem, Israel.

Asaf Levy (A)

Department of Plant Pathology and Microbiology, Institute of Environmental Science, The Faculty of Agriculture, Food, and Environment, The Hebrew University of Jerusalem, Rehovot, Israel.

Classifications MeSH