Cargando…

sraX: A Novel Comprehensive Resistome Analysis Tool

The accurate identification of the assortment of antibiotic resistance genes within a collection of genomes enables the discernment of intricate antimicrobial resistance (AMR) patterns while depicting the diversity of resistome profiles of the analyzed samples. The availability of large amount of se...

Descripción completa

Detalles Bibliográficos
Autor principal: Panunzi, Leonardo G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025521/
https://www.ncbi.nlm.nih.gov/pubmed/32117104
http://dx.doi.org/10.3389/fmicb.2020.00052
_version_ 1783498527692816384
author Panunzi, Leonardo G.
author_facet Panunzi, Leonardo G.
author_sort Panunzi, Leonardo G.
collection PubMed
description The accurate identification of the assortment of antibiotic resistance genes within a collection of genomes enables the discernment of intricate antimicrobial resistance (AMR) patterns while depicting the diversity of resistome profiles of the analyzed samples. The availability of large amount of sequence data, owing to the advancement of novel sequencing technologies, have conceded exciting possibilities for developing suitable AMR exploration tools. However, the level of complexity of bioinformatic analyses has raised as well, since the achievement of desired results involves executing several challenging steps. Here, sraX is proposed as a fully automated analytical pipeline for performing a precise resistome analysis. Our nominated tool is capable of scrutinizing hundreds of bacterial genomes in-parallel for detecting and annotating putative resistant determinants. Particularly, sraX presents unique features: genomic context analysis, validation of known mutations conferring resistance, illustration of drug classes and type of mutated loci proportions and integration of results into a single hyperlinked navigable HTML-formatted file. Furthermore, sraX also exhibits relevant operational features since the complete analysis is accomplished by executing a single-command step. The capacity and efficacy of sraX was demonstrated by re-analyzing 197 strains belonging to Enterococcus spp., from which we confirmed 99.15% of all detection events that were reported in the original study. sraX can be downloaded from https://github.com/lgpdevtools/srax.
format Online
Article
Text
id pubmed-7025521
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-70255212020-02-28 sraX: A Novel Comprehensive Resistome Analysis Tool Panunzi, Leonardo G. Front Microbiol Microbiology The accurate identification of the assortment of antibiotic resistance genes within a collection of genomes enables the discernment of intricate antimicrobial resistance (AMR) patterns while depicting the diversity of resistome profiles of the analyzed samples. The availability of large amount of sequence data, owing to the advancement of novel sequencing technologies, have conceded exciting possibilities for developing suitable AMR exploration tools. However, the level of complexity of bioinformatic analyses has raised as well, since the achievement of desired results involves executing several challenging steps. Here, sraX is proposed as a fully automated analytical pipeline for performing a precise resistome analysis. Our nominated tool is capable of scrutinizing hundreds of bacterial genomes in-parallel for detecting and annotating putative resistant determinants. Particularly, sraX presents unique features: genomic context analysis, validation of known mutations conferring resistance, illustration of drug classes and type of mutated loci proportions and integration of results into a single hyperlinked navigable HTML-formatted file. Furthermore, sraX also exhibits relevant operational features since the complete analysis is accomplished by executing a single-command step. The capacity and efficacy of sraX was demonstrated by re-analyzing 197 strains belonging to Enterococcus spp., from which we confirmed 99.15% of all detection events that were reported in the original study. sraX can be downloaded from https://github.com/lgpdevtools/srax. Frontiers Media S.A. 2020-02-05 /pmc/articles/PMC7025521/ /pubmed/32117104 http://dx.doi.org/10.3389/fmicb.2020.00052 Text en Copyright © 2020 Panunzi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Panunzi, Leonardo G.
sraX: A Novel Comprehensive Resistome Analysis Tool
title sraX: A Novel Comprehensive Resistome Analysis Tool
title_full sraX: A Novel Comprehensive Resistome Analysis Tool
title_fullStr sraX: A Novel Comprehensive Resistome Analysis Tool
title_full_unstemmed sraX: A Novel Comprehensive Resistome Analysis Tool
title_short sraX: A Novel Comprehensive Resistome Analysis Tool
title_sort srax: a novel comprehensive resistome analysis tool
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7025521/
https://www.ncbi.nlm.nih.gov/pubmed/32117104
http://dx.doi.org/10.3389/fmicb.2020.00052
work_keys_str_mv AT panunzileonardog sraxanovelcomprehensiveresistomeanalysistool