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Frequent transmission of the Mycobacterium tuberculosis Beijing lineage and positive selection for the EsxW Beijing variant in Vietnam.

  • Kathryn E. Holt
  • , Paul McAdam
  • , Phan Vuong Khac Thai
  • , Nguyen Thuy Thuong Thuong
  • , Dang Thi Minh Ha
  • , Nguyen Ngoc Lan
  • , Nguyen Huu Lan
  • , Nguyen Thi Quynh Nhu
  • , Hoang Thanh Hai
  • , Vu Thi Ngoc Ha
  • , Guy Thwaites
  • , David J. Edwards
  • , Artika P. Nath
  • , Kym Pham
  • , David B. Ascher
  • , Jeremy Farrar
  • , Chiea Chuen Khor
  • , Yik Ying Teo
  • , Michael Inouye
  • , Maxine Caws
  • Sarah J. Dunstan
  • University of Melbourne
  • Pham Ngoc Thach Hospital
  • University of Oxford
  • Baker Heart and Diabetes Institute
  • Agency for Science, Technology and Research, Singapore
  • Singapore National Eye Center
  • National University of Singapore
  • University of Cambridge
  • Birat Nepal Medical Trust

Research output: Contribution to journalArticlepeer-review

163 Citations (Scopus)

Abstract

To examine the transmission dynamics of Mycobacterium tuberculosis (Mtb) isolated from tuberculosis patients in Ho Chi Minh City, Vietnam, we sequenced the whole genomes of 1,635 isolates and compared these with 3,144 isolates from elsewhere. The data identify an underlying burden of disease caused by the endemic Mtb lineage 1 associated with the activation of long-term latent infection, and a threefold higher burden associated with the more recently introduced Beijing lineage and lineage 4 Mtb strains. We find that Beijing lineage Mtb is frequently transferred between Vietnam and other countries, and detect higher levels of transmission of Beijing lineage strains within this host population than the endemic lineage 1 Mtb. Screening for parallel evolution of Beijing lineage-associated SNPs in other Mtb lineages as a signal of positive selection, we identify an alteration in the ESX-5 type VII-secreted protein EsxW, which could potentially contribute to the enhanced transmission of Beijing lineage Mtb in Vietnamese and other host populations.

Original languageEnglish
Pages (from-to)849-856
Number of pages8
JournalNature Genetics
Volume50
Issue number6
Early online date21 May 2018
DOIs
Publication statusPublished - 1 Jun 2018

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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