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Profiling mycobacterial communities in pulmonary nontuberculous mycobacterial disease

The diagnosis of pulmonary non-tuberculous mycobacterial disease (pNTM) is dependent on the isolation of NTM in culture, which is prone to overgrowth and contamination and may not capture the diversity of mycobacteria present, including rare or unidentified species. This study aimed to develop a cul...

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Autores principales: Cowman, Steven A., James, Phillip, Wilson, Robert, Cookson, William O. C., Moffatt, Miriam F., Loebinger, Michael R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289444/
https://www.ncbi.nlm.nih.gov/pubmed/30533049
http://dx.doi.org/10.1371/journal.pone.0208018
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author Cowman, Steven A.
James, Phillip
Wilson, Robert
Cookson, William O. C.
Moffatt, Miriam F.
Loebinger, Michael R.
author_facet Cowman, Steven A.
James, Phillip
Wilson, Robert
Cookson, William O. C.
Moffatt, Miriam F.
Loebinger, Michael R.
author_sort Cowman, Steven A.
collection PubMed
description The diagnosis of pulmonary non-tuberculous mycobacterial disease (pNTM) is dependent on the isolation of NTM in culture, which is prone to overgrowth and contamination and may not capture the diversity of mycobacteria present, including rare or unidentified species. This study aimed to develop a culture independent method of detecting and identifying mycobacteria from sputum samples using partial sequencing of the hsp65 gene. DNA was extracted from sputum samples from subjects with pNTM and disease controls. Multiplexed partial sequencing of the hsp65 gene was performed using the Illumina MiSeq and custom primers. A reference database of hsp65 sequences was created for taxonomy assignment. Sequencing results were obtained from 42 subjects (31 cases, 11 controls). Mycobacterial sequences were identified in all subjects. In 90.5% of samples more than one species was found (median 5.5). The species isolated in culture was detected by sequencing in 81% of subjects and was the most abundant species in 62%. The sequencing of NTM from clinical samples reveals a far greater diversity than conventional culture and suggests NTM are present as communities rather than a single species. NTM were found to be present even in the absence of isolation in culture or clinical disease.
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spelling pubmed-62894442018-12-28 Profiling mycobacterial communities in pulmonary nontuberculous mycobacterial disease Cowman, Steven A. James, Phillip Wilson, Robert Cookson, William O. C. Moffatt, Miriam F. Loebinger, Michael R. PLoS One Research Article The diagnosis of pulmonary non-tuberculous mycobacterial disease (pNTM) is dependent on the isolation of NTM in culture, which is prone to overgrowth and contamination and may not capture the diversity of mycobacteria present, including rare or unidentified species. This study aimed to develop a culture independent method of detecting and identifying mycobacteria from sputum samples using partial sequencing of the hsp65 gene. DNA was extracted from sputum samples from subjects with pNTM and disease controls. Multiplexed partial sequencing of the hsp65 gene was performed using the Illumina MiSeq and custom primers. A reference database of hsp65 sequences was created for taxonomy assignment. Sequencing results were obtained from 42 subjects (31 cases, 11 controls). Mycobacterial sequences were identified in all subjects. In 90.5% of samples more than one species was found (median 5.5). The species isolated in culture was detected by sequencing in 81% of subjects and was the most abundant species in 62%. The sequencing of NTM from clinical samples reveals a far greater diversity than conventional culture and suggests NTM are present as communities rather than a single species. NTM were found to be present even in the absence of isolation in culture or clinical disease. Public Library of Science 2018-12-11 /pmc/articles/PMC6289444/ /pubmed/30533049 http://dx.doi.org/10.1371/journal.pone.0208018 Text en © 2018 Cowman et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Cowman, Steven A.
James, Phillip
Wilson, Robert
Cookson, William O. C.
Moffatt, Miriam F.
Loebinger, Michael R.
Profiling mycobacterial communities in pulmonary nontuberculous mycobacterial disease
title Profiling mycobacterial communities in pulmonary nontuberculous mycobacterial disease
title_full Profiling mycobacterial communities in pulmonary nontuberculous mycobacterial disease
title_fullStr Profiling mycobacterial communities in pulmonary nontuberculous mycobacterial disease
title_full_unstemmed Profiling mycobacterial communities in pulmonary nontuberculous mycobacterial disease
title_short Profiling mycobacterial communities in pulmonary nontuberculous mycobacterial disease
title_sort profiling mycobacterial communities in pulmonary nontuberculous mycobacterial disease
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6289444/
https://www.ncbi.nlm.nih.gov/pubmed/30533049
http://dx.doi.org/10.1371/journal.pone.0208018
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