Cargando…

Systematic In Silico Assessment of Antimicrobial Resistance Dissemination across the Global Plasmidome

The emergence of pathogenic strains resistant to multiple antimicrobials is a pressing problem in modern healthcare. Antimicrobial resistance is mediated primarily by dissemination of resistance determinants via horizontal gene transfer. The dissemination of some resistance genes has been well docum...

Descripción completa

Detalles Bibliográficos
Autores principales: Sánchez-Osuna, Miquel, Barbé, Jordi, Erill, Ivan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951915/
https://www.ncbi.nlm.nih.gov/pubmed/36830192
http://dx.doi.org/10.3390/antibiotics12020281
_version_ 1784893498830356480
author Sánchez-Osuna, Miquel
Barbé, Jordi
Erill, Ivan
author_facet Sánchez-Osuna, Miquel
Barbé, Jordi
Erill, Ivan
author_sort Sánchez-Osuna, Miquel
collection PubMed
description The emergence of pathogenic strains resistant to multiple antimicrobials is a pressing problem in modern healthcare. Antimicrobial resistance is mediated primarily by dissemination of resistance determinants via horizontal gene transfer. The dissemination of some resistance genes has been well documented, but few studies have analyzed the patterns underpinning the dissemination of antimicrobial resistance genes. Analyzing the %GC content of plasmid-borne antimicrobial resistance genes relative to their host genome %GC content provides a means to efficiently detect and quantify dissemination of antimicrobial resistance genes. In this work we automate %GC content analysis to perform a comprehensive analysis of known antimicrobial resistance genes in publicly available plasmid sequences. We find that the degree to which antimicrobial resistance genes are disseminated depends primarily on the resistance mechanism. Our analysis identifies conjugative plasmids as primary dissemination vectors and indicates that most broadly disseminated genes have spread from single genomic backgrounds. We show that resistance dissemination profiles vary greatly among antimicrobials, oftentimes reflecting stewardship measures. Our findings establish %GC content analysis as a powerful, intuitive and scalable method to monitor the dissemination of resistance determinants using publicly available sequence data.
format Online
Article
Text
id pubmed-9951915
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-99519152023-02-25 Systematic In Silico Assessment of Antimicrobial Resistance Dissemination across the Global Plasmidome Sánchez-Osuna, Miquel Barbé, Jordi Erill, Ivan Antibiotics (Basel) Article The emergence of pathogenic strains resistant to multiple antimicrobials is a pressing problem in modern healthcare. Antimicrobial resistance is mediated primarily by dissemination of resistance determinants via horizontal gene transfer. The dissemination of some resistance genes has been well documented, but few studies have analyzed the patterns underpinning the dissemination of antimicrobial resistance genes. Analyzing the %GC content of plasmid-borne antimicrobial resistance genes relative to their host genome %GC content provides a means to efficiently detect and quantify dissemination of antimicrobial resistance genes. In this work we automate %GC content analysis to perform a comprehensive analysis of known antimicrobial resistance genes in publicly available plasmid sequences. We find that the degree to which antimicrobial resistance genes are disseminated depends primarily on the resistance mechanism. Our analysis identifies conjugative plasmids as primary dissemination vectors and indicates that most broadly disseminated genes have spread from single genomic backgrounds. We show that resistance dissemination profiles vary greatly among antimicrobials, oftentimes reflecting stewardship measures. Our findings establish %GC content analysis as a powerful, intuitive and scalable method to monitor the dissemination of resistance determinants using publicly available sequence data. MDPI 2023-02-01 /pmc/articles/PMC9951915/ /pubmed/36830192 http://dx.doi.org/10.3390/antibiotics12020281 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Sánchez-Osuna, Miquel
Barbé, Jordi
Erill, Ivan
Systematic In Silico Assessment of Antimicrobial Resistance Dissemination across the Global Plasmidome
title Systematic In Silico Assessment of Antimicrobial Resistance Dissemination across the Global Plasmidome
title_full Systematic In Silico Assessment of Antimicrobial Resistance Dissemination across the Global Plasmidome
title_fullStr Systematic In Silico Assessment of Antimicrobial Resistance Dissemination across the Global Plasmidome
title_full_unstemmed Systematic In Silico Assessment of Antimicrobial Resistance Dissemination across the Global Plasmidome
title_short Systematic In Silico Assessment of Antimicrobial Resistance Dissemination across the Global Plasmidome
title_sort systematic in silico assessment of antimicrobial resistance dissemination across the global plasmidome
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951915/
https://www.ncbi.nlm.nih.gov/pubmed/36830192
http://dx.doi.org/10.3390/antibiotics12020281
work_keys_str_mv AT sanchezosunamiquel systematicinsilicoassessmentofantimicrobialresistancedisseminationacrosstheglobalplasmidome
AT barbejordi systematicinsilicoassessmentofantimicrobialresistancedisseminationacrosstheglobalplasmidome
AT erillivan systematicinsilicoassessmentofantimicrobialresistancedisseminationacrosstheglobalplasmidome