Open AccessMolecular typing of Mycobacterium tuberculosis isolates from Yaoundé reveals RIF resistance markers, clonal relatedness and mutation patterns
Author(s) -
Tedom,
Véronique Penlap,
Rudo Kieft,
Andrew G. McArthur,
Wilfred Fon Mbacham,
David B. Mark Welch,
SL Hajduk,
V. P. K. Titanji
Publication year - 2012
Publication title -
asian pacific journal of tropical disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.208
H-Index - 33
ISSN - 2222-1808
DOI - 10.1016/s2222-1808(12)60075-9
Subject(s) - rpob , rapd , typing , mycobacterium tuberculosis , biology , tuberculosis , genetics , molecular epidemiology , drug resistance , mycobacterium tuberculosis complex , virology , genotype , gene , population , medicine , genetic diversity , environmental health , pathology
Objective: To understand the spread of drug resistance and identifying diagnostic probes among\udthe local tuberculosis (TB) strains in order to design rational control tools for tuberculosis controls.\udMethods: TA cloning and sequencing were used to characterize mutation associated with RIF\udresistance in 69 bp region of the gene, rpoB. The analysis identified two regions of mutations\udbut no unusual insertion and deletion. No mutation was observed in RIF sensitive strains.\udResults: We employed Random Amplified Polymorphic DNA (RAPD) analysis for typing strains\udof M. tuberculosis to determine whether new strains were present among M. tuberculosis isolates\udcirculating in Yaounde. Three groups (I to III) of M. tuberculosis were identified among 93 isolates\udrandomly selected. RAPD analysis provided a rapid and easy means of identifying polymorphism\udin M. tuberculosis isolates, and it was found to be a valuable alternative epidemiological tool.\udRAPD was used to select the new site of diagnostic by PCR. Also single nucleotide polymorphisms\udbetween M. tuberculosis and M. bovis were found, suggesting that RAPD can be a useful technique\udfor distinguishing between species. Conclusions: Molecular typing is defined as the integration\udof conventional epidemiological approach to track specific strains of pathogens in order to\udunderstand the distribution of disease in populations