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Differential Identification of Mycobacterial Species Using High-Resolution Melting Analysis
Infections caused by non-tuberculous mycobacteria (NTM) is increasing wordwide. Due to the difference in treatment of NTM infections and tuberculosis, rapid species identification of mycobacterial clinical isolates is necessary for the effective management of mycobacterial diseases treatment and the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5660063/ https://www.ncbi.nlm.nih.gov/pubmed/29109708 http://dx.doi.org/10.3389/fmicb.2017.02045 |
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author | Khosravi, Azar D. Hashemzadeh, Mohammad Hashemi Shahraki, Abdolrazagh Teimoori, Ali |
author_facet | Khosravi, Azar D. Hashemzadeh, Mohammad Hashemi Shahraki, Abdolrazagh Teimoori, Ali |
author_sort | Khosravi, Azar D. |
collection | PubMed |
description | Infections caused by non-tuberculous mycobacteria (NTM) is increasing wordwide. Due to the difference in treatment of NTM infections and tuberculosis, rapid species identification of mycobacterial clinical isolates is necessary for the effective management of mycobacterial diseases treatment and their control strategy. In this study, a cost-effective technique, real-time PCR coupled with high-resolution melting (HRM) analysis, was developed for the differentiation of Mycobacterial species using a novel rpoBC sequence. A total of 107 mycobacterial isolates (nine references and 98 clinical isolates) were subjected to differentiation using rpoBC locus sequence in a real-time PCR-HRM assay scheme. From 98 Mycobacterium clinical isolates, 88 species (89.7%), were identified at the species level by rpoBC locus sequence analysis as a gold standard method. M. simiae was the most frequently encountered species (41 isolates), followed by M. fortuitum (20 isolates), M. tuberculosis (15 isolates), M. kansassi (10 isolates), M. abscessus group (5 isolates), M. avium (5 isolates), and M. chelonae and M. intracellulare one isolate each. The HRM analysis generated six unique specific groups representing M. tuberculosis complex, M. kansasii, M. simiae, M. fortuitum, M. abscessus–M. chelonae group, and M. avium complex. In conclusion, this study showed that the rpoBC-based real-time PCR followed by HRM analysis could differentiate the majority of mycobacterial species that are commonly encountered in clinical specimens. |
format | Online Article Text |
id | pubmed-5660063 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-56600632017-11-06 Differential Identification of Mycobacterial Species Using High-Resolution Melting Analysis Khosravi, Azar D. Hashemzadeh, Mohammad Hashemi Shahraki, Abdolrazagh Teimoori, Ali Front Microbiol Microbiology Infections caused by non-tuberculous mycobacteria (NTM) is increasing wordwide. Due to the difference in treatment of NTM infections and tuberculosis, rapid species identification of mycobacterial clinical isolates is necessary for the effective management of mycobacterial diseases treatment and their control strategy. In this study, a cost-effective technique, real-time PCR coupled with high-resolution melting (HRM) analysis, was developed for the differentiation of Mycobacterial species using a novel rpoBC sequence. A total of 107 mycobacterial isolates (nine references and 98 clinical isolates) were subjected to differentiation using rpoBC locus sequence in a real-time PCR-HRM assay scheme. From 98 Mycobacterium clinical isolates, 88 species (89.7%), were identified at the species level by rpoBC locus sequence analysis as a gold standard method. M. simiae was the most frequently encountered species (41 isolates), followed by M. fortuitum (20 isolates), M. tuberculosis (15 isolates), M. kansassi (10 isolates), M. abscessus group (5 isolates), M. avium (5 isolates), and M. chelonae and M. intracellulare one isolate each. The HRM analysis generated six unique specific groups representing M. tuberculosis complex, M. kansasii, M. simiae, M. fortuitum, M. abscessus–M. chelonae group, and M. avium complex. In conclusion, this study showed that the rpoBC-based real-time PCR followed by HRM analysis could differentiate the majority of mycobacterial species that are commonly encountered in clinical specimens. Frontiers Media S.A. 2017-10-23 /pmc/articles/PMC5660063/ /pubmed/29109708 http://dx.doi.org/10.3389/fmicb.2017.02045 Text en Copyright © 2017 Khosravi, Hashemzadeh, Hashemi Shahraki and Teimoori. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Khosravi, Azar D. Hashemzadeh, Mohammad Hashemi Shahraki, Abdolrazagh Teimoori, Ali Differential Identification of Mycobacterial Species Using High-Resolution Melting Analysis |
title | Differential Identification of Mycobacterial Species Using High-Resolution Melting Analysis |
title_full | Differential Identification of Mycobacterial Species Using High-Resolution Melting Analysis |
title_fullStr | Differential Identification of Mycobacterial Species Using High-Resolution Melting Analysis |
title_full_unstemmed | Differential Identification of Mycobacterial Species Using High-Resolution Melting Analysis |
title_short | Differential Identification of Mycobacterial Species Using High-Resolution Melting Analysis |
title_sort | differential identification of mycobacterial species using high-resolution melting analysis |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5660063/ https://www.ncbi.nlm.nih.gov/pubmed/29109708 http://dx.doi.org/10.3389/fmicb.2017.02045 |
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