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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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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. |
format | Online Article Text |
id | pubmed-10380340 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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