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Whole genome sequencing data of 1110 Mycobacterium tuberculosis isolates identifies insertions and deletions associated with drug resistance.
Zeng, Xi; Kwok, Jamie Sui-Lam; Yang, Kevin Yi; Leung, Kenneth Siu-Sing; Shi, Mai; Yang, Zhiyuan; Yam, Wing-Cheong; Tsui, Stephen Kwok-Wing.
Afiliación
  • Zeng X; School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Kwok JS; Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Yang KY; School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Leung KS; Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Shi M; School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Yang Z; Hong Kong Bioinformatics Centre, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Yam WC; School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Tsui SK; School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
BMC Genomics ; 19(1): 365, 2018 May 16.
Article en En | MEDLINE | ID: mdl-29769016
BACKGROUND: Drug resistance in Mycobacterium tuberculosis (MTB) is one of the major challenges in tuberculosis (TB) treatment. However, known mutations cannot explain all of the cases of resistance and little research has focused on the relationship between insertions / deletions (indels) and drug resistance. RESULTS: Here, we retrieved whole genome sequencing data of 743 drug-resistant MTB strains and 367 pan-susceptible strains from TB patients from the public domain to identify novel genomic markers of drug resistance. A total of 20 region markers containing genes and intergenic regions (IGRs) with significant statistical correlation with antibiotic resistance were revealed, four of which have been previously reported to be associated with drug resistance. In addition, 83 point markers containing frameshift (FS) mutations and IGR indels were also identified independently based on differences in their incidence rates between drug-sensitive and -resistant strains. Among the 83 point markers, eight indels were detected in known drug-associated genes or IGRs. Furthermore, the overlap between 20 region markers and 83 point markers further indicated their associations with drug resistance. The markers identified were involved in essential bacterial metabolic functions, including cell wall and transmembrane transporter functions. A strong correlation between FS mutations and mutations in DNA repair genes including I21V in alkA, R48G in mutT4 and P2R in nth was also found. CONCLUSIONS: This study identified a set of novel genetic markers with FS mutations and IGR indels associated with MTB drug resistance, which greatly broadens the pool of mutations related to MTB drug resistance. This insight may be important in identifying novel mechanisms of drug resistance in MTB.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Farmacorresistencia Bacteriana Múltiple / Mutación INDEL / Secuenciación Completa del Genoma / Mycobacterium tuberculosis Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2018 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Farmacorresistencia Bacteriana Múltiple / Mutación INDEL / Secuenciación Completa del Genoma / Mycobacterium tuberculosis Tipo de estudio: Risk_factors_studies Límite: Humans Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2018 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido