کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
3374667 1219641 2012 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Genomic sequence based scanning for drug resistance-associated mutations and evolutionary analysis of multidrug-resistant and extensively drug-resistant Mycobacterium tuberculosis
موضوعات مرتبط
علوم زیستی و بیوفناوری ایمنی شناسی و میکروب شناسی میکروبیولوژی و بیوتکنولوژی کاربردی
پیش نمایش صفحه اول مقاله
Genomic sequence based scanning for drug resistance-associated mutations and evolutionary analysis of multidrug-resistant and extensively drug-resistant Mycobacterium tuberculosis
چکیده انگلیسی

SummaryObjectiveTo better understand the molecular mechanisms and evolution of drug resistance in Mycobacterium tuberculosis (M. tuberculosis), we performed a genomic sequence based scanning of drug resistance-associated loci for multidrug-resistant (MDR) and extensively drug-resistant (XDR) M. tuberculosis strains.Materials and methodsForty-five pairs of primers covering known drug resistance-associated loci compiled in the TBDReaMDB database were designed to perform the analysis of drug resistance-associated mutations for 14 M. tuberculosis clinical isolates from TB patients in China. Genetic diversity and evolutionary analysis was done using concatenated nucleotide sequences of drug resistance-associated loci.ResultsForty-four types of mutations were identified in 14 M. tuberculosis clinical isolates. Average nucleotide diversity for drug resistance-associated loci increased in the M. tuberculosis isolates as the drug resistance increased (π = 0, π = 0.00021, and π = 0.00028 for susceptible, MDR, and XDR isolates, respectively). The dN/dS ratios for coding regions of drug resistance-associated genes in MDR and XDR isolates were 2.73 and 1.83, respectively. MDR and XDR isolates were distributed sporadically on different branches in the phylogenetic trees.ConclusionsOur study provides supporting evidence to demonstrate that the MDR- and XDR-M. tuberculosis strains have evolved independently driven by positive selection.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Infection - Volume 65, Issue 5, November 2012, Pages 412–422
نویسندگان
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