Literature DB >> 30528901

Early ancient sublineages of Mycobacterium tuberculosis Beijing genotype: unexpected clues from phylogenomics of the pathogen and human history.

I Mokrousov1, A Vyazovaya2, O Pasechnik3, A Gerasimova2, M Dymova4, E Chernyaeva5, M Tatarintseva6, V Stasenko3.   

Abstract

OBJECTIVE: The Mycobacterium tuberculosis Beijing family is an epidemiologically important lineage subdivided into large-scale phylogenetic sublineages: ancient, endemic in East Asia, and global modern. Here, we analysed ancient sublineages of the Beijing genotype in the Omsk region of southwestern Siberia, an intriguing area at the intersection of European Russia, Siberia, and Central Asia.
METHODS: The study included 423 M. tuberculosis strains isolated in 2013-2017 and subjected to drug susceptibility testing, genotyping, and whole genome sequencing.
RESULTS: The Beijing genotype constituted 280 out of 423 strains. Forty Beijing strains belonged to the early ancient sublineage (wild type mutT4-48). Of these, 11 belonged to the 14717-15 MIRU-VNTR cluster and had intact RD181, 29 belonged to the 1071-32 cluster and had the RD181 deletion. Thirty-nine ancient strains were multidrug-resistant (MDR) and 20 pre-extensively drug resistant (XDR)/XDR. Comparison with global data demonstrated that these clones circulate mainly in Asian Russia with certain phylogenetic affinity to strains from Japan, Korea, and northeastern China. The genome-wide analysis revealed 29-37 single nucleotide polymorphism distances between isolates from different Russian regions within these two clusters.
CONCLUSIONS: Based on phylogenetic, phylogeographic, genomic, and historical data, we hypothesize that these two clones or their direct ancestors were probably brought to Russia ∼70 years ago after the Second World War with Japanese prisoners of war and, until recently, were mainly circulating in Siberia and the Far East. Their elevated prevalence in Omsk along with the extremely strong association with not only MDR but also pre-XDR/XDR also observed in other locations highlight their epidemic potential and the need for monitoring and attention from health authorities.
Copyright © 2018 European Society of Clinical Microbiology and Infectious Diseases. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Beijing genotype; Drug resistance; Evolution; Molecular epidemiology; Mycobacterium tuberculosis; Phylogenetics; Phylogeography; Siberia

Mesh:

Substances:

Year:  2018        PMID: 30528901     DOI: 10.1016/j.cmi.2018.11.024

Source DB:  PubMed          Journal:  Clin Microbiol Infect        ISSN: 1198-743X            Impact factor:   8.067


  4 in total

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Authors:  Yuttapong Thawornwattana; Surakameth Mahasirimongkol; Hideki Yanai; Htet Myat Win Maung; Zhezhe Cui; Virasakdi Chongsuvivatwong; Prasit Palittapongarnpim
Journal:  Microb Genom       Date:  2021-11

2.  Impact of pathobiological diversity of Mycobacterium tuberculosis on clinical features and lethal outcome of tuberculosis.

Authors:  Oksana Pasechnik; Anna Vyazovaya; Igor Mokrousov; Irina Yarusova; Alena Gerasimova; Aleksey Blokh; Viacheslav Zhuravlev
Journal:  BMC Microbiol       Date:  2022-02-08       Impact factor: 3.605

3.  Extremely lethal and hypervirulent Mycobacterium tuberculosis strain cluster emerging in Far East, Russia.

Authors:  Tatiana Vinogradova; Marine Dogonadze; Natalia Zabolotnykh; Maria Badleeva; Irina Yarusova; Anna Vyazovaya; Alena Gerasimova; Svetlana Zhdanova; Maria Vitovskaya; Natalia Solovieva; Oksana Pasechnik; Oleg Ogarkov; Igor Mokrousov
Journal:  Emerg Microbes Infect       Date:  2021-12       Impact factor: 7.163

4.  Practical approach to detection and surveillance of emerging highly resistant Mycobacterium tuberculosis Beijing 1071-32-cluster.

Authors:  Igor Mokrousov; Anna Vyazovaya; Viacheslav Sinkov; Alena Gerasimova; Panayotis Ioannidis; Weiwei Jiao; Polina Khromova; Dimitrios Papaventsis; Oksana Pasechnik; João Perdigão; Nalin Rastogi; Adong Shen; Yuriy Skiba; Natalia Solovieva; Philip Suffys; Silva Tafaj; Tatiana Umpeleva; Diana Vakhrusheva; Irina Yarusova; Svetlana Zhdanova; Viacheslav Zhuravlev; Oleg Ogarkov
Journal:  Sci Rep       Date:  2021-11-01       Impact factor: 4.379

  4 in total

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