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TASmania: A bacterial Toxin-Antitoxin Systems database
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504116/ https://www.ncbi.nlm.nih.gov/pubmed/31022176 http://dx.doi.org/10.1371/journal.pcbi.1006946 |
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author | Akarsu, Hatice Bordes, Patricia Mansour, Moise Bigot, Donna-Joe Genevaux, Pierre Falquet, Laurent |
author_facet | Akarsu, Hatice Bordes, Patricia Mansour, Moise Bigot, Donna-Joe Genevaux, Pierre Falquet, Laurent |
author_sort | Akarsu, Hatice |
collection | PubMed |
description | 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(.)10(6) 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/. |
format | Online Article Text |
id | pubmed-6504116 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-65041162019-05-09 TASmania: A bacterial Toxin-Antitoxin Systems database Akarsu, Hatice Bordes, Patricia Mansour, Moise Bigot, Donna-Joe Genevaux, Pierre Falquet, Laurent PLoS Comput Biol Research Article 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(.)10(6) 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/. Public Library of Science 2019-04-25 /pmc/articles/PMC6504116/ /pubmed/31022176 http://dx.doi.org/10.1371/journal.pcbi.1006946 Text en © 2019 Akarsu et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Akarsu, Hatice Bordes, Patricia Mansour, Moise Bigot, Donna-Joe Genevaux, Pierre Falquet, Laurent TASmania: A bacterial Toxin-Antitoxin Systems database |
title | TASmania: A bacterial Toxin-Antitoxin Systems database |
title_full | TASmania: A bacterial Toxin-Antitoxin Systems database |
title_fullStr | TASmania: A bacterial Toxin-Antitoxin Systems database |
title_full_unstemmed | TASmania: A bacterial Toxin-Antitoxin Systems database |
title_short | TASmania: A bacterial Toxin-Antitoxin Systems database |
title_sort | tasmania: a bacterial toxin-antitoxin systems database |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504116/ https://www.ncbi.nlm.nih.gov/pubmed/31022176 http://dx.doi.org/10.1371/journal.pcbi.1006946 |
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