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Multi-Drug Resistance in Bacterial Genomes—A Comprehensive Bioinformatic Analysis

Antimicrobial resistance is presently one of the greatest threats to public health. The excessive and indiscriminate use of antibiotics imposes a continuous selective pressure that triggers the emergence of multi-drug resistance. We performed a large-scale analysis of closed bacterial genomes to ide...

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Autores principales: Domingues, Célia P. F., Rebelo, João S., Dionisio, Francisco, Nogueira, Teresa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10380340/
https://www.ncbi.nlm.nih.gov/pubmed/37511196
http://dx.doi.org/10.3390/ijms241411438
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author Domingues, Célia P. F.
Rebelo, João S.
Dionisio, Francisco
Nogueira, Teresa
author_facet Domingues, Célia P. F.
Rebelo, João S.
Dionisio, Francisco
Nogueira, Teresa
author_sort Domingues, Célia P. F.
collection PubMed
description Antimicrobial resistance is presently one of the greatest threats to public health. The excessive and indiscriminate use of antibiotics imposes a continuous selective pressure that triggers the emergence of multi-drug resistance. We performed a large-scale analysis of closed bacterial genomes to identify multi-drug resistance considering the ResFinder antimicrobial classes. We found that more than 95% of the genomes harbor genes associated with resistance to disinfectants, glycopeptides, macrolides, and tetracyclines. On average, each genome encodes resistance to more than nine different classes of antimicrobial drugs. We found higher-than-expected co-occurrences of resistance genes in both plasmids and chromosomes for several classes of antibiotic resistance, including classes categorized as critical according to the World Health Organization (WHO). As a result of antibiotic-resistant priority pathogens, higher-than-expected co-occurrences appear in plasmids, increasing the potential for resistance dissemination. For the first time, co-occurrences of antibiotic resistance have been investigated for priority pathogens as defined by the WHO. For critically important pathogens, co-occurrences appear in plasmids, not in chromosomes, suggesting that the resistances may be epidemic and probably recent. These results hint at the need for new approaches to treating infections caused by critically important bacteria.
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spelling pubmed-103803402023-07-29 Multi-Drug Resistance in Bacterial Genomes—A Comprehensive Bioinformatic Analysis Domingues, Célia P. F. Rebelo, João S. Dionisio, Francisco Nogueira, Teresa Int J Mol Sci Article Antimicrobial resistance is presently one of the greatest threats to public health. The excessive and indiscriminate use of antibiotics imposes a continuous selective pressure that triggers the emergence of multi-drug resistance. We performed a large-scale analysis of closed bacterial genomes to identify multi-drug resistance considering the ResFinder antimicrobial classes. We found that more than 95% of the genomes harbor genes associated with resistance to disinfectants, glycopeptides, macrolides, and tetracyclines. On average, each genome encodes resistance to more than nine different classes of antimicrobial drugs. We found higher-than-expected co-occurrences of resistance genes in both plasmids and chromosomes for several classes of antibiotic resistance, including classes categorized as critical according to the World Health Organization (WHO). As a result of antibiotic-resistant priority pathogens, higher-than-expected co-occurrences appear in plasmids, increasing the potential for resistance dissemination. For the first time, co-occurrences of antibiotic resistance have been investigated for priority pathogens as defined by the WHO. For critically important pathogens, co-occurrences appear in plasmids, not in chromosomes, suggesting that the resistances may be epidemic and probably recent. These results hint at the need for new approaches to treating infections caused by critically important bacteria. MDPI 2023-07-14 /pmc/articles/PMC10380340/ /pubmed/37511196 http://dx.doi.org/10.3390/ijms241411438 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
Domingues, Célia P. F.
Rebelo, João S.
Dionisio, Francisco
Nogueira, Teresa
Multi-Drug Resistance in Bacterial Genomes—A Comprehensive Bioinformatic Analysis
title Multi-Drug Resistance in Bacterial Genomes—A Comprehensive Bioinformatic Analysis
title_full Multi-Drug Resistance in Bacterial Genomes—A Comprehensive Bioinformatic Analysis
title_fullStr Multi-Drug Resistance in Bacterial Genomes—A Comprehensive Bioinformatic Analysis
title_full_unstemmed Multi-Drug Resistance in Bacterial Genomes—A Comprehensive Bioinformatic Analysis
title_short Multi-Drug Resistance in Bacterial Genomes—A Comprehensive Bioinformatic Analysis
title_sort multi-drug resistance in bacterial genomes—a comprehensive bioinformatic analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10380340/
https://www.ncbi.nlm.nih.gov/pubmed/37511196
http://dx.doi.org/10.3390/ijms241411438
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