Literature DB >> 23849021

The use of mycobacterial interspersed repetitive unit typing and whole genome sequencing to inform tuberculosis prevention and control activities.

Gwendolyn L Gilbert1, Vitali Sintchenko.   

Abstract

Molecular strain typing of Mycobacterium tuberculosis has been possible for only about 20 years; it has significantly improved our understanding of the evolution and epidemiology of Mycobacterium tuberculosis and tuberculosis disease. Mycobacterial interspersed repetitive unit typing, based on 24 variable number tandem repeat unit loci, is highly discriminatory, relatively easy to perform and interpret and is currently the most widely used molecular typing system for tuberculosis surveillance. Nevertheless, clusters identified by mycobacterial interspersed repetitive unit typing sometimes cannot be confirmed or adequately defined by contact tracing and additional methods are needed. Recently, whole genome sequencing has been used to identify single nucleotide polymorphisms and other mutations, between genotypically indistinguishable isolates from the same cluster, to more accurately trace transmission pathways. Rapidly increasing speed and quality and reduced costs will soon make large scale whole genome sequencing feasible, combined with the use of sophisticated bioinformatics tools, for epidemiological surveillance of tuberculosis.

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Year:  2013        PMID: 23849021     DOI: 10.1071/NB12106

Source DB:  PubMed          Journal:  N S W Public Health Bull        ISSN: 1034-7674


  2 in total

Review 1.  Current and emerging Legionella diagnostics for laboratory and outbreak investigations.

Authors:  Jeffrey W Mercante; Jonas M Winchell
Journal:  Clin Microbiol Rev       Date:  2015-01       Impact factor: 26.132

2.  Whole genome sequencing of Salmonella Typhimurium illuminates distinct outbreaks caused by an endemic multi-locus variable number tandem repeat analysis type in Australia, 2014.

Authors:  Anastasia Phillips; Cristina Sotomayor; Qinning Wang; Nadine Holmes; Catriona Furlong; Kate Ward; Peter Howard; Sophie Octavia; Ruiting Lan; Vitali Sintchenko
Journal:  BMC Microbiol       Date:  2016-09-15       Impact factor: 3.605

  2 in total

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