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Whole-genome sequencing analysis of serially isolated multi-drug and extensively drug resistant Mycobacterium tuberculosis from Thai patients
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Metadata
Document Title
Whole-genome sequencing analysis of serially isolated multi-drug and extensively drug resistant Mycobacterium tuberculosis from Thai patients
Author
Faksri K.,Tan J.H.,Disratthakit A.,Xia E.,Prammananan T.,Suriyaphol P.,Khor C.C.,Teo Y.-Y.,Ong R.T.-H.,Chaiprasert A.
Name from Authors Collection
Affiliations
Department of Microbiology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand; Research and Diagnostic Center for Emerging Infectious Diseases (RCEID), Khon Kaen University, Khon Kaen, Thailand; Saw Swee Hock School of Public Health, National University of Singapore, Singapore; Department of Microbiology, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, Thailand; NUS Graduate School for Integrative Sciences and Engineering, National University of Singapore, Singapore; National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Ministry of Science and Technology, Pathum Thani, Thailand; Bioinformatics and Data Management for Research Unit, Office for Research and Development, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand; Genome Institute of Singapore, Singapore; Department of Statistics and Applied Probability, National University of Singapore, Singapore; Life Sciences Institute, National University of Singapore, Singapore
Type
Article
Source Title
PLoS ONE
ISSN
19326203
Year
2016
Volume
11
Issue
8
Open Access
All Open Access, Gold, Green
Publisher
Public Library of Science
DOI
10.1371/journal.pone.0160992
Abstract
Multi-drug and extensively drug-resistant tuberculosis (MDR and XDR-TB) are problems that threaten public health worldwide. Only some genetic markers associated with drugresistant TB are known. Whole-genome sequencing (WGS) is a promising tool for distinguishing between re-infection and persistent infection in isolates taken at different times from a single patient, but has not yet been applied in MDR and XDR-TB. We aim to detect genetic markers associated with drug resistance and distinguish between reinfection and persistent infection from MDR and XDR-TB patients based on WGS analysis. Samples of Mycobacterium tuberculosis (n = 7), serially isolated from 2 MDR cases and 1 XDR-TB case, were retrieved from Siriraj Hospital, Bangkok. TheWGS analysis used an Illumina Miseq sequencer. In cases of persistent infection, MDR-TB isolates differed at an average of 2 SNPs across the span of 2-9 months whereas in the case of reinfection, isolates differed at 61 SNPs across 2 years. Known genetic markers associated with resistance were detected from strains susceptible to streptomycin (2/7 isolates), p-aminosalicylic acid (3/7 isolates) and fluoroquinolone drugs. Among fluoroquinolone drugs, ofloxacin had the highest phenotype-genotype concordance (6/7 isolates), whereas gatifloxcain had the lowest (3/7 isolates). A putative candidate SNP in Rv2477c associated with kanamycin and amikacin resistance was suggested for further validation. WGS provided comprehensive results regarding molecular epidemiology, distinguishing between persistent infection and reinfection in M/XDR-TB and potentially can be used for detection of novel mutations associated with drug resistance. © 2016 Faksri et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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License
CC BY
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Publication Source
Scopus