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...

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Main Author: Leonardo G. Panunzi
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-02-01
Series:Frontiers in Microbiology
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fmicb.2020.00052/full
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spelling doaj-16fff701a25647eba283e0080063d9282020-11-25T03:43:00ZengFrontiers Media S.A.Frontiers in Microbiology1664-302X2020-02-011110.3389/fmicb.2020.00052499026sraX: A Novel Comprehensive Resistome Analysis ToolLeonardo G. Panunzi0Leonardo G. Panunzi1Institut Pasteur, Biodiversity and Epidemiology of Bacterial Pathogens, Paris, FranceInstitut Français de Bioinformatique, CNRS UMS 3601, Evry, FranceThe 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.https://www.frontiersin.org/article/10.3389/fmicb.2020.00052/fullantimicrobial resistanceantibiotic resistance generesistome profilingstand-alone softwaresequence analysisgene context visualization
collection DOAJ
language English
format Article
sources DOAJ
author Leonardo G. Panunzi
Leonardo G. Panunzi
spellingShingle Leonardo G. Panunzi
Leonardo G. Panunzi
sraX: A Novel Comprehensive Resistome Analysis Tool
Frontiers in Microbiology
antimicrobial resistance
antibiotic resistance gene
resistome profiling
stand-alone software
sequence analysis
gene context visualization
author_facet Leonardo G. Panunzi
Leonardo G. Panunzi
author_sort Leonardo G. Panunzi
title sraX: A Novel Comprehensive Resistome Analysis Tool
title_short 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_sort srax: a novel comprehensive resistome analysis tool
publisher Frontiers Media S.A.
series Frontiers in Microbiology
issn 1664-302X
publishDate 2020-02-01
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.
topic antimicrobial resistance
antibiotic resistance gene
resistome profiling
stand-alone software
sequence analysis
gene context visualization
url https://www.frontiersin.org/article/10.3389/fmicb.2020.00052/full
work_keys_str_mv AT leonardogpanunzi sraxanovelcomprehensiveresistomeanalysistool
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