Literature DB >> 20384709

A novel method for the rapid and prospective identification of Beijing Mycobacterium tuberculosis strains by high-resolution melting analysis.

M Alonso1, Y Navarro, F Barletta, M Martínez Lirola, E Gotuzzo, E Bouza, D García de Viedma.   

Abstract

Genotypic analysis of Mycobacterium tuberculosis (MTB) has enabled the definition of several lineages. The Beijing family, which is considered highly virulent and transmissible, has been associated with resistance in certain settings and involved in severe outbreaks, making it one of the most closely-monitored lineages. Therefore, rapid prospective identification of Beijing MTB strains could be relevant. In the present study, we evaluate a real-time PCR followed by high-resolution melting (HRM) based on the identification of a single nucleotide polymorphism (SNP) in the Rv2629 gene which defines Beijing lineage (A191C for Beijing genotype and A191A for non-Beijing genotype). This combined methodology efficiently differentiated Beijing and non-Beijing strains in 100% of the isolates from a collection of reference strains without requiring specific DNA probes. Additionally, HRM was able to assign a Beijing/non-Beijing genotype in 90.9% of the respiratory specimens assayed. Its applicability was tested on a Peruvian sample of circulating MTB strains, in which it identified 10.7% as belonging to the Beijing genotype; this proportion reached 20% in the North Lima area. HRM analysis of the A191C SNP is a rapid, reliable, and sensitive method for the efficient prospective survey of high-risk Beijing MTB strains, even in developing settings where MTB culture is often not available.
© 2010 The Authors. Journal Compilation © 2010 European Society of Clinical Microbiology and Infectious Diseases.

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Year:  2011        PMID: 20384709     DOI: 10.1111/j.1469-0691.2010.03234.x

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


  8 in total

1.  Rapid test for identification of a highly transmissible Mycobacterium tuberculosis Beijing strain of sub-Saharan origin.

Authors:  María Isabel Millán-Lou; Henar Alonso; Patricia Gavín; Melissa Hernández-Febles; María Isolina Campos-Herrero; Rodolfo Copado; Fernando Cañas; Kristin Kremer; José Antonio Caminero; Carlos Martín; Sofía Samper
Journal:  J Clin Microbiol       Date:  2011-11-23       Impact factor: 5.948

Review 2.  Importance of the genetic diversity within the Mycobacterium tuberculosis complex for the development of novel antibiotics and diagnostic tests of drug resistance.

Authors:  Claudio U Köser; Silke Feuerriegel; David K Summers; John A C Archer; Stefan Niemann
Journal:  Antimicrob Agents Chemother       Date:  2012-09-24       Impact factor: 5.191

3.  A novel method of identifying Mycobacterium tuberculosis Beijing strains by detecting SNPs in Rv0444c and Rv2629.

Authors:  Lu Zhang; Wenxi Xu; Zhenling Cui; Yanyan Liu; Wenjie Wang; Jie Wang; Ding Hu; Dingqian Liu; Honghai Wang
Journal:  Curr Microbiol       Date:  2013-11-12       Impact factor: 2.188

4.  Analysis of mutations in streptomycin-resistant strains reveals a simple and reliable genetic marker for identification of the Mycobacterium tuberculosis Beijing genotype.

Authors:  Cristina Villellas; Liselotte Aristimuño; María-Asunción Vitoria; Cristina Prat; Silvia Blanco; Darío García de Viedma; José Domínguez; Sofía Samper; José A Aínsa
Journal:  J Clin Microbiol       Date:  2013-04-24       Impact factor: 5.948

5.  Multicenter Study of the Emergence and Genetic Characteristics of Pyrazinamide-Resistant Tuberculosis in China.

Authors:  Dange Li; Yi Hu; Jim Werngren; Mikael Mansjö; Xubin Zheng; Francis Drobniewski; Sven Hoffner; Biao Xu
Journal:  Antimicrob Agents Chemother       Date:  2016-08-22       Impact factor: 5.191

6.  Persistent Infection by a Mycobacterium tuberculosis Strain That Was Theorized To Have Advantageous Properties, as It Was Responsible for a Massive Outbreak.

Authors:  Laura Pérez-Lago; Yurena Navarro; Pedro Montilla; Iñaki Comas; Marta Herranz; Carlos Rodríguez-Gallego; María Jesús Ruiz Serrano; Emilio Bouza; Darío García de Viedma
Journal:  J Clin Microbiol       Date:  2015-08-12       Impact factor: 5.948

7.  Rv2629 Overexpression Delays Mycobacterium smegmatis and Mycobacteria tuberculosis Entry into Log-Phase and Increases Pathogenicity of Mycobacterium smegmatis in Mice.

Authors:  Dan Liu; Kewei Hao; Wenjie Wang; Chao Peng; Yue Dai; Ruiliang Jin; Wenxi Xu; Lei He; Hongyan Wang; Honghai Wang; Lu Zhang; Qingzhong Wang
Journal:  Front Microbiol       Date:  2017-11-15       Impact factor: 5.640

Review 8.  Modern clinical microbiology: new challenges and solutions.

Authors:  Pierre-Edouard Fournier; Michel Drancourt; Philippe Colson; Jean-Marc Rolain; Bernard La Scola; Didier Raoult
Journal:  Nat Rev Microbiol       Date:  2013-08       Impact factor: 60.633

  8 in total

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