Literature DB >> 21277396

Mutations in the regulatory network underlie the recent clonal expansion of a dominant subclone of the Mycobacterium tuberculosis Beijing genotype.

Anita C Schürch1, Kristin Kremer, Robin M Warren, Nguyen V Hung, Yanlin Zhao, Kanglin Wan, Martin J Boeree, Roland J Siezen, Noel H Smith, Dick van Soolingen.   

Abstract

The Beijing genotype family is an epidemiologically important sub-group of Mycobacterium tuberculosis. It has been suggested that the high frequency of the Beijing isolates in some areas could be explained by selective advantages. Some evidence suggests that the emerging and most frequently isolated "Typical Beijing" lineage has the ability to circumvent BCG-induced immunity. To investigate the phylogeny of the Beijing genotype of M. tuberculosis, the genome of six Beijing strains from three different countries was sequenced with next-generation sequencing. The phylogeny of these strains was established using single nucleotide polymorphisms (SNPs). The three Typical Beijing strains clustered very tightly in the Beijing phylogeny suggesting that Typical Beijing strains represent a monophyletic lineage and resulted from recent diversification. Typing of 150 M. tuberculosis strains with a subset of the SNPs and comparison of the IS6110 restriction-fragment length polymorphism (RFLP) patterns of these strains to a database of 1522 Beijing RFLP patterns revealed that about 80% of all Beijing strains belong to the Typical Beijing subclone, which indicates clonal expansion. To identify the genomic changes that are characteristic for all Typical Beijing strains and to reconstruct their most recent common ancestor, the presence of SNPs was assayed in other Beijing strains. We identified 51 SNPs that define the minimal set of polymorphisms for all Typical Beijing strains. Nonsynonymous polymorphisms in genes coding for the regulatory network were over-represented in this set of mutations. We suggest that alterations in the response to environmental signals may have enabled Typical Beijing strains to develop the emerging phenotype.
Copyright © 2011 Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21277396     DOI: 10.1016/j.meegid.2011.01.009

Source DB:  PubMed          Journal:  Infect Genet Evol        ISSN: 1567-1348            Impact factor:   3.342


  15 in total

1.  Consequences of whiB7 (Rv3197A) mutations in Beijing genotype isolates of the Mycobacterium tuberculosis complex.

Authors:  Claudio U Köser; Josephine M Bryant; Julian Parkhill; Sharon J Peacock
Journal:  Antimicrob Agents Chemother       Date:  2013-07       Impact factor: 5.191

2.  Polymorphisms in isoniazid and prothionamide resistance genes of the Mycobacterium tuberculosis complex.

Authors:  Michaela Projahn; Claudio U Köser; Susanne Homolka; David K Summers; John A C Archer; Stefan Niemann
Journal:  Antimicrob Agents Chemother       Date:  2011-06-27       Impact factor: 5.191

3.  Assessment of Bactericidal Drug Activity and Treatment Outcome in a Mouse Tuberculosis Model Using a Clinical Beijing Strain.

Authors:  Bas C Mourik; Gerjo J de Knegt; Annelies Verbon; Johan W Mouton; Hannelore I Bax; Jurriaan E M de Steenwinkel
Journal:  Antimicrob Agents Chemother       Date:  2017-09-22       Impact factor: 5.191

4.  Disclosure of selective advantages in the "modern" sublineage of the Mycobacterium tuberculosis Beijing genotype family by quantitative proteomics.

Authors:  Jeroen de Keijzer; Petra E de Haas; Arnoud H de Ru; Peter A van Veelen; Dick van Soolingen
Journal:  Mol Cell Proteomics       Date:  2014-07-14       Impact factor: 5.911

5.  Microevolution of extensively drug-resistant tuberculosis in Russia.

Authors:  Nicola Casali; Vladyslav Nikolayevskyy; Yanina Balabanova; Olga Ignatyeva; Irina Kontsevaya; Simon R Harris; Stephen D Bentley; Julian Parkhill; Sergey Nejentsev; Sven E Hoffner; Rolf D Horstmann; Timothy Brown; Francis Drobniewski
Journal:  Genome Res       Date:  2012-01-31       Impact factor: 9.043

6.  Low induction of proinflammatory cytokines parallels evolutionary success of modern strains within the Mycobacterium tuberculosis Beijing genotype.

Authors:  Arjan van Laarhoven; Jornt J Mandemakers; Johanneke Kleinnijenhuis; Mimount Enaimi; Ekta Lachmandas; Leo A B Joosten; Tom H M Ottenhoff; Mihai G Netea; Dick van Soolingen; Reinout van Crevel
Journal:  Infect Immun       Date:  2013-07-29       Impact factor: 3.441

7.  SNP/RD typing of Mycobacterium tuberculosis Beijing strains reveals local and worldwide disseminated clonal complexes.

Authors:  Anita C Schürch; Kristin Kremer; Amber C A Hendriks; Benthe Freyee; Christopher R E McEvoy; Reinout van Crevel; Martin J Boeree; Paul van Helden; Robin M Warren; Roland J Siezen; Dick van Soolingen
Journal:  PLoS One       Date:  2011-12-05       Impact factor: 3.240

8.  Multiplexed Strain Phenotyping Defines Consequences of Genetic Diversity in Mycobacterium tuberculosis for Infection and Vaccination Outcomes.

Authors:  Allison F Carey; Xin Wang; Nico Cicchetti; Caitlin N Spaulding; Qingyun Liu; Forrest Hopkins; Jessica Brown; Jaimie Sixsmith; Rujapak Sutiwisesak; Samuel M Behar; Thomas R Ioerger; Sarah M Fortune
Journal:  mSystems       Date:  2022-04-18       Impact factor: 7.324

9.  Mapping of genotype-phenotype diversity among clinical isolates of mycobacterium tuberculosis by sequence-based transcriptional profiling.

Authors:  Graham Rose; Teresa Cortes; Iñaki Comas; Mireia Coscolla; Sebastien Gagneux; Douglas B Young
Journal:  Genome Biol Evol       Date:  2013       Impact factor: 3.416

10.  Combined species identification, genotyping, and drug resistance detection of Mycobacterium tuberculosis cultures by MLPA on a bead-based array.

Authors:  Indra Bergval; Sarah Sengstake; Nadia Brankova; Viktoria Levterova; Edgar Abadía; Nino Tadumaze; Nino Bablishvili; Maka Akhalaia; Kiki Tuin; Anja Schuitema; Stefan Panaiotov; Elizabeta Bachiyska; Todor Kantardjiev; Rina de Zwaan; Anita Schürch; Dick van Soolingen; Anja van 't Hoog; Frank Cobelens; Rusudan Aspindzelashvili; Christophe Sola; Paul Klatser; Richard Anthony
Journal:  PLoS One       Date:  2012-08-20       Impact factor: 3.240

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