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ResFinderFG v2.0: a database of antibiotic resistance genes obtained by functional metagenomics

Metagenomics can be used to monitor the spread of antibiotic resistance genes (ARGs). ARGs found in databases such as ResFinder and CARD primarily originate from culturable and pathogenic bacteria, while ARGs from non-culturable and non-pathogenic bacteria remain understudied. Functional metagenomic...

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Autores principales: Gschwind, Rémi, Ugarcina Perovic, Svetlana, Weiss, Maja, Petitjean, Marie, Lao, Julie, Coelho, Luis Pedro, Ruppé, Etienne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320180/
https://www.ncbi.nlm.nih.gov/pubmed/37207327
http://dx.doi.org/10.1093/nar/gkad384
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author Gschwind, Rémi
Ugarcina Perovic, Svetlana
Weiss, Maja
Petitjean, Marie
Lao, Julie
Coelho, Luis Pedro
Ruppé, Etienne
author_facet Gschwind, Rémi
Ugarcina Perovic, Svetlana
Weiss, Maja
Petitjean, Marie
Lao, Julie
Coelho, Luis Pedro
Ruppé, Etienne
author_sort Gschwind, Rémi
collection PubMed
description Metagenomics can be used to monitor the spread of antibiotic resistance genes (ARGs). ARGs found in databases such as ResFinder and CARD primarily originate from culturable and pathogenic bacteria, while ARGs from non-culturable and non-pathogenic bacteria remain understudied. Functional metagenomics is based on phenotypic gene selection and can identify ARGs from non-culturable bacteria with a potentially low identity shared with known ARGs. In 2016, the ResFinderFG v1.0 database was created to collect ARGs from functional metagenomics studies. Here, we present the second version of the database, ResFinderFG v2.0, which is available on the Center of Genomic Epidemiology web server (https://cge.food.dtu.dk/services/ResFinderFG/). It comprises 3913 ARGs identified by functional metagenomics from 50 carefully curated datasets. We assessed its potential to detect ARGs in comparison to other popular databases in gut, soil and water (marine + freshwater) Global Microbial Gene Catalogues (https://gmgc.embl.de). ResFinderFG v2.0 allowed for the detection of ARGs that were not detected using other databases. These included ARGs conferring resistance to beta-lactams, cycline, phenicol, glycopeptide/cycloserine and trimethoprim/sulfonamide. Thus, ResFinderFG v2.0 can be used to identify ARGs differing from those found in conventional databases and therefore improve the description of resistomes.
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spelling pubmed-103201802023-07-06 ResFinderFG v2.0: a database of antibiotic resistance genes obtained by functional metagenomics Gschwind, Rémi Ugarcina Perovic, Svetlana Weiss, Maja Petitjean, Marie Lao, Julie Coelho, Luis Pedro Ruppé, Etienne Nucleic Acids Res Web Server Issue Metagenomics can be used to monitor the spread of antibiotic resistance genes (ARGs). ARGs found in databases such as ResFinder and CARD primarily originate from culturable and pathogenic bacteria, while ARGs from non-culturable and non-pathogenic bacteria remain understudied. Functional metagenomics is based on phenotypic gene selection and can identify ARGs from non-culturable bacteria with a potentially low identity shared with known ARGs. In 2016, the ResFinderFG v1.0 database was created to collect ARGs from functional metagenomics studies. Here, we present the second version of the database, ResFinderFG v2.0, which is available on the Center of Genomic Epidemiology web server (https://cge.food.dtu.dk/services/ResFinderFG/). It comprises 3913 ARGs identified by functional metagenomics from 50 carefully curated datasets. We assessed its potential to detect ARGs in comparison to other popular databases in gut, soil and water (marine + freshwater) Global Microbial Gene Catalogues (https://gmgc.embl.de). ResFinderFG v2.0 allowed for the detection of ARGs that were not detected using other databases. These included ARGs conferring resistance to beta-lactams, cycline, phenicol, glycopeptide/cycloserine and trimethoprim/sulfonamide. Thus, ResFinderFG v2.0 can be used to identify ARGs differing from those found in conventional databases and therefore improve the description of resistomes. Oxford University Press 2023-05-19 /pmc/articles/PMC10320180/ /pubmed/37207327 http://dx.doi.org/10.1093/nar/gkad384 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Web Server Issue
Gschwind, Rémi
Ugarcina Perovic, Svetlana
Weiss, Maja
Petitjean, Marie
Lao, Julie
Coelho, Luis Pedro
Ruppé, Etienne
ResFinderFG v2.0: a database of antibiotic resistance genes obtained by functional metagenomics
title ResFinderFG v2.0: a database of antibiotic resistance genes obtained by functional metagenomics
title_full ResFinderFG v2.0: a database of antibiotic resistance genes obtained by functional metagenomics
title_fullStr ResFinderFG v2.0: a database of antibiotic resistance genes obtained by functional metagenomics
title_full_unstemmed ResFinderFG v2.0: a database of antibiotic resistance genes obtained by functional metagenomics
title_short ResFinderFG v2.0: a database of antibiotic resistance genes obtained by functional metagenomics
title_sort resfinderfg v2.0: a database of antibiotic resistance genes obtained by functional metagenomics
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10320180/
https://www.ncbi.nlm.nih.gov/pubmed/37207327
http://dx.doi.org/10.1093/nar/gkad384
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