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A quantitative and efficient approach to select MIRU–VNTR loci based on accumulation of the percentage differences of strains for discriminating divergent Mycobacterium tuberculosis sublineages

Although several optimal mycobacterial interspersed repetitive units–variable number tandem repeat (MIRU–VNTR) loci have been suggested for genotyping homogenous Mycobacterium tuberculosis, including the Beijing genotype, a more efficient and convenient selection strategy for identifying optimal VNT...

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Autores principales: Pan, Xin-Ling, Zhang, Chun-Lei, Nakajima, Chie, Fu, Jin, Shao, Chang-Xia, Zhao, Li-Na, Cui, Jia-Yi, Jiao, Na, Fan, Chang-Long, Suzuki, Yasuhiko, Hattori, Toshio, Li, Di, Ling, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5567172/
https://www.ncbi.nlm.nih.gov/pubmed/28745309
http://dx.doi.org/10.1038/emi.2017.58
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author Pan, Xin-Ling
Zhang, Chun-Lei
Nakajima, Chie
Fu, Jin
Shao, Chang-Xia
Zhao, Li-Na
Cui, Jia-Yi
Jiao, Na
Fan, Chang-Long
Suzuki, Yasuhiko
Hattori, Toshio
Li, Di
Ling, Hong
author_facet Pan, Xin-Ling
Zhang, Chun-Lei
Nakajima, Chie
Fu, Jin
Shao, Chang-Xia
Zhao, Li-Na
Cui, Jia-Yi
Jiao, Na
Fan, Chang-Long
Suzuki, Yasuhiko
Hattori, Toshio
Li, Di
Ling, Hong
author_sort Pan, Xin-Ling
collection PubMed
description Although several optimal mycobacterial interspersed repetitive units–variable number tandem repeat (MIRU–VNTR) loci have been suggested for genotyping homogenous Mycobacterium tuberculosis, including the Beijing genotype, a more efficient and convenient selection strategy for identifying optimal VNTR loci is needed. Here 281 M. tuberculosis isolates were analyzed. Beijing genotype and non-Beijing genotypes were identified, as well as Beijing sublineages, according to single nucleotide polymorphisms. A total of 22 MIRU–VNTR loci were used for genotyping. To efficiently select optimal MIRU–VNTR loci, we established accumulations of percentage differences (APDs) between the strains among the different genotypes. In addition, we constructed a minimum spanning tree for clustering analysis of the VNTR profiles. Our findings showed that eight MIRU–VNTR loci displayed disparities in h values of ≥0.2 between the Beijing genotype and non-Beijing genotype isolates. To efficiently discriminate Beijing and non-Beijing genotypes, an optimal VNTR set was established by adding loci with APDs ranging from 87.2% to 58.8%, resulting in the construction of a nine-locus set. We also found that QUB11a is a powerful locus for separating ST10s (including ST10, STF and STCH1) and ST22s (including ST22 and ST8) strains, whereas a combination of QUB11a, QUB4156, QUB18, Mtub21 and QUB26 could efficiently discriminate Beijing sublineages. Our findings suggested that two nine-locus sets were not only efficient for distinguishing the Beijing genotype from non-Beijing genotype strains, but were also suitable for sublineage genotyping with different discriminatory powers. These results indicate that APD represents a quantitative and efficient approach for selecting MIRU–VNTR loci to discriminate between divergent M. tuberculosis sublineages.
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spelling pubmed-55671722017-08-30 A quantitative and efficient approach to select MIRU–VNTR loci based on accumulation of the percentage differences of strains for discriminating divergent Mycobacterium tuberculosis sublineages Pan, Xin-Ling Zhang, Chun-Lei Nakajima, Chie Fu, Jin Shao, Chang-Xia Zhao, Li-Na Cui, Jia-Yi Jiao, Na Fan, Chang-Long Suzuki, Yasuhiko Hattori, Toshio Li, Di Ling, Hong Emerg Microbes Infect Original Article Although several optimal mycobacterial interspersed repetitive units–variable number tandem repeat (MIRU–VNTR) loci have been suggested for genotyping homogenous Mycobacterium tuberculosis, including the Beijing genotype, a more efficient and convenient selection strategy for identifying optimal VNTR loci is needed. Here 281 M. tuberculosis isolates were analyzed. Beijing genotype and non-Beijing genotypes were identified, as well as Beijing sublineages, according to single nucleotide polymorphisms. A total of 22 MIRU–VNTR loci were used for genotyping. To efficiently select optimal MIRU–VNTR loci, we established accumulations of percentage differences (APDs) between the strains among the different genotypes. In addition, we constructed a minimum spanning tree for clustering analysis of the VNTR profiles. Our findings showed that eight MIRU–VNTR loci displayed disparities in h values of ≥0.2 between the Beijing genotype and non-Beijing genotype isolates. To efficiently discriminate Beijing and non-Beijing genotypes, an optimal VNTR set was established by adding loci with APDs ranging from 87.2% to 58.8%, resulting in the construction of a nine-locus set. We also found that QUB11a is a powerful locus for separating ST10s (including ST10, STF and STCH1) and ST22s (including ST22 and ST8) strains, whereas a combination of QUB11a, QUB4156, QUB18, Mtub21 and QUB26 could efficiently discriminate Beijing sublineages. Our findings suggested that two nine-locus sets were not only efficient for distinguishing the Beijing genotype from non-Beijing genotype strains, but were also suitable for sublineage genotyping with different discriminatory powers. These results indicate that APD represents a quantitative and efficient approach for selecting MIRU–VNTR loci to discriminate between divergent M. tuberculosis sublineages. Nature Publishing Group 2017-07 2017-07-26 /pmc/articles/PMC5567172/ /pubmed/28745309 http://dx.doi.org/10.1038/emi.2017.58 Text en Copyright © 2017 The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Original Article
Pan, Xin-Ling
Zhang, Chun-Lei
Nakajima, Chie
Fu, Jin
Shao, Chang-Xia
Zhao, Li-Na
Cui, Jia-Yi
Jiao, Na
Fan, Chang-Long
Suzuki, Yasuhiko
Hattori, Toshio
Li, Di
Ling, Hong
A quantitative and efficient approach to select MIRU–VNTR loci based on accumulation of the percentage differences of strains for discriminating divergent Mycobacterium tuberculosis sublineages
title A quantitative and efficient approach to select MIRU–VNTR loci based on accumulation of the percentage differences of strains for discriminating divergent Mycobacterium tuberculosis sublineages
title_full A quantitative and efficient approach to select MIRU–VNTR loci based on accumulation of the percentage differences of strains for discriminating divergent Mycobacterium tuberculosis sublineages
title_fullStr A quantitative and efficient approach to select MIRU–VNTR loci based on accumulation of the percentage differences of strains for discriminating divergent Mycobacterium tuberculosis sublineages
title_full_unstemmed A quantitative and efficient approach to select MIRU–VNTR loci based on accumulation of the percentage differences of strains for discriminating divergent Mycobacterium tuberculosis sublineages
title_short A quantitative and efficient approach to select MIRU–VNTR loci based on accumulation of the percentage differences of strains for discriminating divergent Mycobacterium tuberculosis sublineages
title_sort quantitative and efficient approach to select miru–vntr loci based on accumulation of the percentage differences of strains for discriminating divergent mycobacterium tuberculosis sublineages
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5567172/
https://www.ncbi.nlm.nih.gov/pubmed/28745309
http://dx.doi.org/10.1038/emi.2017.58
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