TASmania: A bacterial Toxin-Antitoxin Systems database.


Journal

PLoS computational biology
ISSN: 1553-7358
Titre abrégé: PLoS Comput Biol
Pays: United States
ID NLM: 101238922

Informations de publication

Date de publication:
04 2019
Historique:
received: 03 10 2018
accepted: 11 03 2019
revised: 07 05 2019
pubmed: 26 4 2019
medline: 13 11 2019
entrez: 26 4 2019
Statut: epublish

Résumé

Bacterial Toxin-Antitoxin systems (TAS) are involved in key biological functions including plasmid maintenance, defense against phages, persistence and virulence. They are found in nearly all phyla and classified into 6 different types based on the mode of inactivation of the toxin, with the type II TAS being the best characterized so far. We have herein developed a new in silico discovery pipeline named TASmania, which mines the >41K assemblies of the EnsemblBacteria database for known and uncharacterized protein components of type I to IV TAS loci. Our pipeline annotates the proteins based on a list of curated HMMs, which leads to >2.106 loci candidates, including orphan toxins and antitoxins, and organises the candidates in pseudo-operon structures in order to identify new TAS candidates based on a guilt-by-association strategy. In addition, we classify the two-component TAS with an unsupervised method on top of the pseudo-operon (pop) gene structures, leading to 1567 "popTA" models offering a more robust classification of the TAs families. These results give valuable clues in understanding the toxin/antitoxin modular structures and the TAS phylum specificities. Preliminary in vivo work confirmed six putative new hits in Mycobacterium tuberculosis as promising candidates. The TASmania database is available on the following server https://shiny.bioinformatics.unibe.ch/apps/tasmania/.

Identifiants

pubmed: 31022176
doi: 10.1371/journal.pcbi.1006946
pii: PCOMPBIOL-D-18-01701
pmc: PMC6504116
doi:

Substances chimiques

Antitoxins 0
Bacterial Toxins 0

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1006946

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Hatice Akarsu (H)

Department of Biology, University of Fribourg & Swiss Institute of Bioinformatics, Fribourg, Switzerland.

Patricia Bordes (P)

Laboratoire de Microbiologie et de Génétique Moléculaires (LMGM), Centre de Biologie Intégrative (CBI), Université de Toulouse, CNRS, UPS, Toulouse, France.

Moise Mansour (M)

Laboratoire de Microbiologie et de Génétique Moléculaires (LMGM), Centre de Biologie Intégrative (CBI), Université de Toulouse, CNRS, UPS, Toulouse, France.

Donna-Joe Bigot (DJ)

Laboratoire de Microbiologie et de Génétique Moléculaires (LMGM), Centre de Biologie Intégrative (CBI), Université de Toulouse, CNRS, UPS, Toulouse, France.

Pierre Genevaux (P)

Laboratoire de Microbiologie et de Génétique Moléculaires (LMGM), Centre de Biologie Intégrative (CBI), Université de Toulouse, CNRS, UPS, Toulouse, France.

Laurent Falquet (L)

Department of Biology, University of Fribourg & Swiss Institute of Bioinformatics, Fribourg, Switzerland.

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