Literature DB >> 29563202

Next-Generation Sequencing for Characterizing Drug Resistance-Conferring Mycobacterium tuberculosis Genes from Clinical Isolates in the Ukraine.

L T Daum1, O S Konstantynovska2, O S Solodiankin3, O O Liashenko2, P I Poteiko2, V I Bolotin3, I I Hrek2, A V Rohozhyn2, J D Rodriguez4, G W Fischer4, J P Chambers4, A P Gerilovych3.   

Abstract

The Ukraine ranks among the top 20 countries with the highest number of multidrug-resistant (MDR) and extensively drug resistant (XDR) Mycobacterium tuberculosis cases in the world. However, little is known of the genetic diversity, i.e., resistance signatures, in clinical isolates from this region. We analyzed seven of most prevalent MDR/XDR antibiotic resistance-conferring genes from clinical isolates (n = 75) collected from geographically diverse Ukrainian oblasts and the southern Crimean peninsula. Genomic analysis revealed that 6 (8%) were sensitive, 3 (4%) were resistant to at least one antibiotic but were not MDR, 40 (53%) were MDR, and 26 (35%) were XDR. The majority of isolates (81%) were of the Beijing-like lineage. This is the first study to use next-generation sequencing (NGS) of clinical isolates from the Ukraine to characterize mutations in genes conferring M. tuberculosis drug resistance. Several isolates harbored drug resistance signatures that have not been observed in other countries with high-burden tuberculosis. Most notably, the absence of inhA gene promoter mutations, a diversity of mutation types in the rpoB resistance-determining region, and detection of heteroresistance provide a broader understanding of MDR/XDR from this area of the world.
Copyright © 2018 American Society for Microbiology.

Entities:  

Keywords:  MTB; Mycobacterium tuberculosis paratuberculosis; NGS; XDR; multidrug resistance; next-generation sequencing; tuberculosis

Mesh:

Substances:

Year:  2018        PMID: 29563202      PMCID: PMC5971536          DOI: 10.1128/JCM.00009-18

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  31 in total

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