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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...

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Autores principales: Tyler, Andrea D., Randell, Elaine, Baikie, Maureen, Antonation, Kym, Janella, Debra, Christianson, Sara, Tyrrell, Gregory J., Graham, Morag, Van Domselaar, Gary, Sharma, Meenu K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
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.
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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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