論文

査読有り
2015年3月

Clonality and Micro-Diversity of a Nationwide Spreading Genotype of Mycobacterium tuberculosis in Japan

PLOS ONE
  • Takayuki Wada
  • ,
  • Tomotada Iwamoto
  • ,
  • Aki Tamaru
  • ,
  • Junji Seto
  • ,
  • Tadayuki Ahiko
  • ,
  • Kaori Yamamoto
  • ,
  • Atushi Hase
  • ,
  • Shinji Maeda
  • ,
  • Taro Yamamoto

10
3
開始ページ
e0118495
終了ページ
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1371/journal.pone.0118495
出版者・発行元
PUBLIC LIBRARY SCIENCE

Mycobacterium tuberculosis transmission routes can be estimated from genotypic analysis of clinical isolates from patients. In Japan, still a middle-incidence country of TB, a unique genotype strain designated as 'M-strain' has been isolated nationwide recently. To ascertain the history of the wide spread of the strain, 10 clinical isolates from different areas were subjected to genome-wide analysis based on deep sequencers. Results show that all isolates possessed common mutations to those of referential strains. The greatest number of accumulated single nucleotide variants (SNVs) from the oldest coalescence was 13 nucleotides, indicating high clonality of these isolates. When an SNV common to the isolates was used as a surrogate marker of the clone, authentic clonal isolates with variation in a reliable subset of variable number of tandem repeat (VNTR) genotyping method can be selected successfully from clinical isolates populations of M. tuberculosis. When the authentic clones can also be assigned to sub-clonal groups by SNVs derived from the genomic comparison, they are classifiable into three sub-clonal groups with a bias of geographical origins. Feedback from genomic analysis of clinical isolates of M. tuberculosis to genotypic markers will be an efficient strategy for the big data in various settings for public health actions against TB.

リンク情報
DOI
https://doi.org/10.1371/journal.pone.0118495
PubMed
https://www.ncbi.nlm.nih.gov/pubmed/25734518
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000350314700034&DestApp=WOS_CPL
ID情報
  • DOI : 10.1371/journal.pone.0118495
  • ISSN : 1932-6203
  • PubMed ID : 25734518
  • Web of Science ID : WOS:000350314700034

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