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Application of whole genome sequence analysis to the study of Mycobacterium tuberculosis in Nunavut, Canada
Canada has one of the lowest rates of tuberculosis (TB) in the world, however, among certain sub-populations, disease incidence rates approach those observed in sub-Saharan Africa, and other high incidence regions. In this study, we applied mycobacterial interspersed repetitive unit (MIRU) variable...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628838/ https://www.ncbi.nlm.nih.gov/pubmed/28982116 http://dx.doi.org/10.1371/journal.pone.0185656 |
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author | Tyler, Andrea D. Randell, Elaine Baikie, Maureen Antonation, Kym Janella, Debra Christianson, Sara Tyrrell, Gregory J. Graham, Morag Van Domselaar, Gary Sharma, Meenu K. |
author_facet | Tyler, Andrea D. Randell, Elaine Baikie, Maureen Antonation, Kym Janella, Debra Christianson, Sara Tyrrell, Gregory J. Graham, Morag Van Domselaar, Gary Sharma, Meenu K. |
author_sort | Tyler, Andrea D. |
collection | PubMed |
description | Canada has one of the lowest rates of tuberculosis (TB) in the world, however, among certain sub-populations, disease incidence rates approach those observed in sub-Saharan Africa, and other high incidence regions. In this study, we applied mycobacterial interspersed repetitive unit (MIRU) variable number of tandem repeat (VNTR) and whole genome sequencing (WGS) to the analysis of Mycobacterium tuberculosis isolates obtained from Northern communities in the territory of Nunavut. WGS was carried out using the Illumina MiSeq, with identified variants used to infer phylogenetic relationships and annotated to infer functional implications. Additionally, the sequencing data from these isolates were augmented with publically available WGS to evaluate data from the Nunavut outbreak in the broader Canadian context. In this study, isolates could be classified into four major clusters by MIRU-VNTR analysis. These could be further resolved into sub-clusters using WGS. No evidence for antimicrobial resistance, either genetic or phenotypic, was observed in this cohort. Among most subjects with multiple samples, reactivation/incomplete treatment likely contributed to recurrence. However, isolates from two subjects appeared more likely to have occurred via reinfection, based on the large number of genomic single nucleotide variants detected. Finally, although quite distinct from previously reported Canadian MTB strains, isolates obtained from Nunavut clustered most closely with a cohort of samples originating in the Nunavik region of Northern Quebec. This study demonstrates the benefit of using WGS for discriminatory analysis of MTB in Canada, especially in high incidence regions. It further emphasizes the importance of focusing epidemiological intervention efforts on interrupting transmission chains of endemic TB throughout Northern communities, rather than relying on strategies applied in regions where the majority of TB cases result from importation of foreign strains. |
format | Online Article Text |
id | pubmed-5628838 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-56288382017-10-20 Application of whole genome sequence analysis to the study of Mycobacterium tuberculosis in Nunavut, Canada Tyler, Andrea D. Randell, Elaine Baikie, Maureen Antonation, Kym Janella, Debra Christianson, Sara Tyrrell, Gregory J. Graham, Morag Van Domselaar, Gary Sharma, Meenu K. PLoS One Research Article Canada has one of the lowest rates of tuberculosis (TB) in the world, however, among certain sub-populations, disease incidence rates approach those observed in sub-Saharan Africa, and other high incidence regions. In this study, we applied mycobacterial interspersed repetitive unit (MIRU) variable number of tandem repeat (VNTR) and whole genome sequencing (WGS) to the analysis of Mycobacterium tuberculosis isolates obtained from Northern communities in the territory of Nunavut. WGS was carried out using the Illumina MiSeq, with identified variants used to infer phylogenetic relationships and annotated to infer functional implications. Additionally, the sequencing data from these isolates were augmented with publically available WGS to evaluate data from the Nunavut outbreak in the broader Canadian context. In this study, isolates could be classified into four major clusters by MIRU-VNTR analysis. These could be further resolved into sub-clusters using WGS. No evidence for antimicrobial resistance, either genetic or phenotypic, was observed in this cohort. Among most subjects with multiple samples, reactivation/incomplete treatment likely contributed to recurrence. However, isolates from two subjects appeared more likely to have occurred via reinfection, based on the large number of genomic single nucleotide variants detected. Finally, although quite distinct from previously reported Canadian MTB strains, isolates obtained from Nunavut clustered most closely with a cohort of samples originating in the Nunavik region of Northern Quebec. This study demonstrates the benefit of using WGS for discriminatory analysis of MTB in Canada, especially in high incidence regions. It further emphasizes the importance of focusing epidemiological intervention efforts on interrupting transmission chains of endemic TB throughout Northern communities, rather than relying on strategies applied in regions where the majority of TB cases result from importation of foreign strains. Public Library of Science 2017-10-05 /pmc/articles/PMC5628838/ /pubmed/28982116 http://dx.doi.org/10.1371/journal.pone.0185656 Text en © 2017 Tyler 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 Tyler, Andrea D. Randell, Elaine Baikie, Maureen Antonation, Kym Janella, Debra Christianson, Sara Tyrrell, Gregory J. Graham, Morag Van Domselaar, Gary Sharma, Meenu K. Application of whole genome sequence analysis to the study of Mycobacterium tuberculosis in Nunavut, Canada |
title | Application of whole genome sequence analysis to the study of Mycobacterium tuberculosis in Nunavut, Canada |
title_full | Application of whole genome sequence analysis to the study of Mycobacterium tuberculosis in Nunavut, Canada |
title_fullStr | Application of whole genome sequence analysis to the study of Mycobacterium tuberculosis in Nunavut, Canada |
title_full_unstemmed | Application of whole genome sequence analysis to the study of Mycobacterium tuberculosis in Nunavut, Canada |
title_short | Application of whole genome sequence analysis to the study of Mycobacterium tuberculosis in Nunavut, Canada |
title_sort | application of whole genome sequence analysis to the study of mycobacterium tuberculosis in nunavut, canada |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5628838/ https://www.ncbi.nlm.nih.gov/pubmed/28982116 http://dx.doi.org/10.1371/journal.pone.0185656 |
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