Title
A novel method for the rapid and prospective identification of Beijing Mycobacterium tuberculosis strains by high-resolution melting analysis
Date Issued
01 January 2011
Access level
open access
Resource Type
journal article
Publisher(s)
Blackwell Publishing Ltd
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.
Start page
349
End page
357
Volume
17
Issue
3
Language
English
OCDE Knowledge area
Epidemiología Sistema respiratorio Enfermedades infecciosas
Scopus EID
2-s2.0-79751469866
PubMed ID
Source
Clinical Microbiology and Infection
ISSN of the container
1198743X
Sponsor(s)
This study was partially funded by the Fondo de Investigaciones Sanitarias (FIS060882; FIS061467; FIS06/90490; 06/90357) and the Instituto de Salud Carlos III (CIBER Enfermedades Respiratorias CB06/06/0058 and the Spanish Network for the Research in Infectious Diseases [REIPI RD06/0008]). M. Alonso is supported by a contract (REF CA09/00054) from the Instituto de Salud Carlos III (Fondo de Investigaciones Sanitarias) and provides technical support in the Unidad Central de Análisis Molecular of Hospital General Universitario Gregorio Marañón. Y. Navarro received a fellowship for International Cooperation from Fundación para la Investigación Biomédica del Hospital Gregorio Marañón. F. Barletta received a grant from Bacterial Net: Emerging Antimicrobial Resistance: Mechanisms, Management and control, AML 19.0901/06/18414/11-0531-FC-FA-FCD-FI. The LightCycler 2.0 equipment was acquired with a grant (REF IF08/36173) from Instituto de Salud Carlos III (Fondo de Investigaciones Sanitarias). None of the authors declares any conflicts of interest.
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