Literature DB >> 12519202

Linkage disequilibrium between minisatellite loci supports clonal evolution of Mycobacterium tuberculosis in a high tuberculosis incidence area.

Philip Supply1, Robin M Warren, Anne-Laure Bañuls, Sarah Lesjean, Gian D Van Der Spuy, Lee-Anne Lewis, Michel Tibayrenc, Paul D Van Helden, Camille Locht.   

Abstract

Deciphering the structure of pathogen populations is instrumental for the understanding of the epidemiology and history of infectious diseases and for their control. Although Mycobacterium tuberculosis is the most widespread infectious agent in humans, its actual population structure has remained hypothetical until now because: (i) its structural genes are poorly polymorphic; (ii) adequate samples and appropriate statistics for population genetic analysis have not been considered. To investigate this structure, we analysed the statistical associations (linkage disequilibrium) between 12 independent M. tuberculosis minisatellite-like loci by high-throughput genotyping within a model population of 209 isolates representative of the genetic diversity in an area with a very high incidence of tuberculosis. These loci contain variable number tandem repeats (VNTRs) of genetic elements named mycobacterial interspersed repetitive units (MIRUs). Highly significant linkage disequilibrium was detected among the MIRU-VNTR loci in this model. This linkage disequilibrium was also evident when the MIRU-VNTR types were compared with the IS6110 restriction fragment length polymorphism types. These results support a predominant clonal evolution of M. tuberculosis.

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Year:  2003        PMID: 12519202     DOI: 10.1046/j.1365-2958.2003.03315.x

Source DB:  PubMed          Journal:  Mol Microbiol        ISSN: 0950-382X            Impact factor:   3.501


  87 in total

1.  Criteria for identification of cross-contamination of cultures of Mycobacterium tuberculosis in routine microbiology laboratories.

Authors:  Nora M Carroll; Madalene Richardson; Paul D van Helden
Journal:  J Clin Microbiol       Date:  2003-05       Impact factor: 5.948

2.  Analysis of the allelic diversity of the mycobacterial interspersed repetitive units in Mycobacterium tuberculosis strains of the Beijing family: practical implications and evolutionary considerations.

Authors:  Igor Mokrousov; Olga Narvskaya; Elena Limeschenko; Anna Vyazovaya; Tatiana Otten; Boris Vyshnevskiy
Journal:  J Clin Microbiol       Date:  2004-06       Impact factor: 5.948

3.  Microevolution of Mycobacterium tuberculosis in a tuberculosis patient.

Authors:  Sahal A M Al-Hajoj; Onno Akkerman; Ida Parwati; Saad al-Gamdi; Zeaur Rahim; Dick van Soolingen; Jakko van Ingen; Philip Supply; Adri G M van der Zanden
Journal:  J Clin Microbiol       Date:  2010-08-04       Impact factor: 5.948

4.  Comparison of multilocus variable-number tandem-repeat analysis and multilocus sequence typing for differentiation of hemolytic-uremic syndrome-associated Escherichia coli (HUSEC) collection strains.

Authors:  Christian Jenke; Björn Arne Lindstedt; Dag Harmsen; Helge Karch; Lin Thorstensen Brandal; Alexander Mellmann
Journal:  J Clin Microbiol       Date:  2011-08-10       Impact factor: 5.948

5.  Characterization of ancestral Mycobacterium tuberculosis by multiple genetic markers and proposal of genotyping strategy.

Authors:  Yong-Jiang Sun; Ann S G Lee; Sze Ta Ng; Sindhu Ravindran; Kristin Kremer; Richard Bellamy; Sin-Yew Wong; Dick van Soolingen; Philip Supply; Nicholas I Paton
Journal:  J Clin Microbiol       Date:  2004-11       Impact factor: 5.948

6.  Neutral microepidemic evolution of bacterial pathogens.

Authors:  Christophe Fraser; William P Hanage; Brian G Spratt
Journal:  Proc Natl Acad Sci U S A       Date:  2005-01-31       Impact factor: 11.205

7.  Mycobacterium tuberculosis Beijing genotype and mycobacterial interspersed repetitive unit typing.

Authors:  Igor Mokrousov
Journal:  J Clin Microbiol       Date:  2006-04       Impact factor: 5.948

8.  Assessment of mycobacterial interspersed repetitive unit-QUB markers to further discriminate the Beijing genotype in a population-based study of the genetic diversity of Mycobacterium tuberculosis clinical isolates from Okinawa, Ryukyu Islands, Japan.

Authors:  Julie Millet; Chika Miyagi-Shiohira; Nobuhisa Yamane; Christophe Sola; Nalin Rastogi
Journal:  J Clin Microbiol       Date:  2007-09-26       Impact factor: 5.948

9.  Key experimental evidence of chromosomal DNA transfer among selected tuberculosis-causing mycobacteria.

Authors:  Eva C Boritsch; Varun Khanna; Alexandre Pawlik; Nadine Honoré; Victor H Navas; Laurence Ma; Christiane Bouchier; Torsten Seemann; Philip Supply; Timothy P Stinear; Roland Brosch
Journal:  Proc Natl Acad Sci U S A       Date:  2016-08-15       Impact factor: 11.205

10.  Mathematical modelling of Mycobacterium tuberculosis VNTR loci estimates a very slow mutation rate for the repeats.

Authors:  Andrew Grant; Catherine Arnold; Nicola Thorne; Saheer Gharbia; Anthony Underwood
Journal:  J Mol Evol       Date:  2008-05-06       Impact factor: 2.395

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