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Whole-Genome Sequencing for Investigating a Health Care-Associated Outbreak of Carbapenem-Resistant Acinetobacter baumannii
Carbapenem-resistant Acinetobacter baumannii (CRAB) outbreaks in hospital settings challenge the treatment of patients and infection control. Understanding the relatedness of clinical isolates is important in distinguishing outbreak isolates from sporadic cases. This study investigated 11 CRAB isola...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910894/ https://www.ncbi.nlm.nih.gov/pubmed/33573077 http://dx.doi.org/10.3390/diagnostics11020201 |
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author | Hwang, Sang Mee Cho, Hee Won Kim, Tae Yeul Park, Jeong Su Jung, Jongtak Song, Kyoung-Ho Lee, Hyunju Kim, Eu Suk Kim, Hong Bin Park, Kyoung Un |
author_facet | Hwang, Sang Mee Cho, Hee Won Kim, Tae Yeul Park, Jeong Su Jung, Jongtak Song, Kyoung-Ho Lee, Hyunju Kim, Eu Suk Kim, Hong Bin Park, Kyoung Un |
author_sort | Hwang, Sang Mee |
collection | PubMed |
description | Carbapenem-resistant Acinetobacter baumannii (CRAB) outbreaks in hospital settings challenge the treatment of patients and infection control. Understanding the relatedness of clinical isolates is important in distinguishing outbreak isolates from sporadic cases. This study investigated 11 CRAB isolates from a hospital outbreak by whole-genome sequencing (WGS), utilizing various bioinformatics tools for outbreak analysis. The results of multilocus sequence typing (MLST), single nucleotide polymorphism (SNP) analysis, and phylogenetic tree analysis by WGS through web-based tools were compared, and repetitive element polymerase chain reaction (rep-PCR) typing was performed. Through the WGS of 11 A. baumannii isolates, three clonal lineages were identified from the outbreak. The coexistence of bla(OXA-23), bla(OXA-66), bla(ADC-25), and armA with additional aminoglycoside-inactivating enzymes, predicted to confer multidrug resistance, was identified in all isolates. The MLST Oxford scheme identified three types (ST191, ST369, and ST451), and, through whole-genome MLST and whole-genome SNP analyses, different clones were found to exist within the MLST types. wgSNP showed the highest discriminatory power with the lowest similarities among the isolates. Using the various bioinformatics tools for WGS, CRAB outbreak analysis was applicable and identified three discrete clusters differentiating the separate epidemiologic relationships among the isolates. |
format | Online Article Text |
id | pubmed-7910894 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79108942021-02-28 Whole-Genome Sequencing for Investigating a Health Care-Associated Outbreak of Carbapenem-Resistant Acinetobacter baumannii Hwang, Sang Mee Cho, Hee Won Kim, Tae Yeul Park, Jeong Su Jung, Jongtak Song, Kyoung-Ho Lee, Hyunju Kim, Eu Suk Kim, Hong Bin Park, Kyoung Un Diagnostics (Basel) Article Carbapenem-resistant Acinetobacter baumannii (CRAB) outbreaks in hospital settings challenge the treatment of patients and infection control. Understanding the relatedness of clinical isolates is important in distinguishing outbreak isolates from sporadic cases. This study investigated 11 CRAB isolates from a hospital outbreak by whole-genome sequencing (WGS), utilizing various bioinformatics tools for outbreak analysis. The results of multilocus sequence typing (MLST), single nucleotide polymorphism (SNP) analysis, and phylogenetic tree analysis by WGS through web-based tools were compared, and repetitive element polymerase chain reaction (rep-PCR) typing was performed. Through the WGS of 11 A. baumannii isolates, three clonal lineages were identified from the outbreak. The coexistence of bla(OXA-23), bla(OXA-66), bla(ADC-25), and armA with additional aminoglycoside-inactivating enzymes, predicted to confer multidrug resistance, was identified in all isolates. The MLST Oxford scheme identified three types (ST191, ST369, and ST451), and, through whole-genome MLST and whole-genome SNP analyses, different clones were found to exist within the MLST types. wgSNP showed the highest discriminatory power with the lowest similarities among the isolates. Using the various bioinformatics tools for WGS, CRAB outbreak analysis was applicable and identified three discrete clusters differentiating the separate epidemiologic relationships among the isolates. MDPI 2021-01-29 /pmc/articles/PMC7910894/ /pubmed/33573077 http://dx.doi.org/10.3390/diagnostics11020201 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Hwang, Sang Mee Cho, Hee Won Kim, Tae Yeul Park, Jeong Su Jung, Jongtak Song, Kyoung-Ho Lee, Hyunju Kim, Eu Suk Kim, Hong Bin Park, Kyoung Un Whole-Genome Sequencing for Investigating a Health Care-Associated Outbreak of Carbapenem-Resistant Acinetobacter baumannii |
title | Whole-Genome Sequencing for Investigating a Health Care-Associated Outbreak of Carbapenem-Resistant Acinetobacter baumannii |
title_full | Whole-Genome Sequencing for Investigating a Health Care-Associated Outbreak of Carbapenem-Resistant Acinetobacter baumannii |
title_fullStr | Whole-Genome Sequencing for Investigating a Health Care-Associated Outbreak of Carbapenem-Resistant Acinetobacter baumannii |
title_full_unstemmed | Whole-Genome Sequencing for Investigating a Health Care-Associated Outbreak of Carbapenem-Resistant Acinetobacter baumannii |
title_short | Whole-Genome Sequencing for Investigating a Health Care-Associated Outbreak of Carbapenem-Resistant Acinetobacter baumannii |
title_sort | whole-genome sequencing for investigating a health care-associated outbreak of carbapenem-resistant acinetobacter baumannii |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7910894/ https://www.ncbi.nlm.nih.gov/pubmed/33573077 http://dx.doi.org/10.3390/diagnostics11020201 |
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