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Identification of novel single nucleotide variants in the drug resistance mechanism of Mycobacterium tuberculosis isolates by whole-genome analysis.
Qian, Weiye; Ma, Nan; Zeng, Xi; Shi, Mai; Wang, Mingqiang; Yang, Zhiyuan; Tsui, Stephen Kwok-Wing.
Afiliação
  • Qian W; School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou, 310018, China.
  • Ma N; School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou, 310018, China.
  • Zeng X; Agricultural Bioinformatics Key Laboratory of Hubei Province and 3D Genomics Research Centre, College of Informatics, Huazhong Agricultural University, Wuhan, 430070, China.
  • Shi M; School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China.
  • Wang M; Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, 94305, USA.
  • Yang Z; School of Artificial Intelligence, Hangzhou Dianzi University, Hangzhou, 310018, China. yangzhiyuan@link.cuhk.edu.hk.
  • Tsui SK; School of Biomedical Sciences, The Chinese University of Hong Kong, Hong Kong SAR, China. yangzhiyuan@link.cuhk.edu.hk.
BMC Genomics ; 25(1): 478, 2024 May 14.
Article em En | MEDLINE | ID: mdl-38745294
ABSTRACT

BACKGROUND:

Tuberculosis (TB) represents a major global health challenge. Drug resistance in Mycobacterium tuberculosis (MTB) poses a substantial obstacle to effective TB treatment. Identifying genomic mutations in MTB isolates holds promise for unraveling the underlying mechanisms of drug resistance in this bacterium.

METHODS:

In this study, we investigated the roles of single nucleotide variants (SNVs) in MTB isolates resistant to four antibiotics (moxifloxacin, ofloxacin, amikacin, and capreomycin) through whole-genome analysis. We identified the drug-resistance-associated SNVs by comparing the genomes of MTB isolates with reference genomes using the MuMmer4 tool.

RESULTS:

We observed a strikingly high proportion (94.2%) of MTB isolates resistant to ofloxacin, underscoring the current prevalence of drug resistance in MTB. An average of 3529 SNVs were detected in a single ofloxacin-resistant isolate, indicating a mutation rate of approximately 0.08% under the selective pressure of ofloxacin exposure. We identified a set of 60 SNVs associated with extensively drug-resistant tuberculosis (XDR-TB), among which 42 SNVs were non-synonymous mutations located in the coding regions of nine key genes (ctpI, desA3, mce1R, moeB1, ndhA, PE_PGRS4, PPE18, rpsA, secF). Protein structure modeling revealed that SNVs of three genes (PE_PGRS4, desA3, secF) are close to the critical catalytic active sites in the three-dimensional structure of the coding proteins.

CONCLUSION:

This comprehensive study elucidates novel resistance mechanisms in MTB against antibiotics, paving the way for future design and development of anti-tuberculosis drugs.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polimorfismo de Nucleotídeo Único / Sequenciamento Completo do Genoma / Mycobacterium tuberculosis Limite: Humans Idioma: En Revista: BMC Genomics Assunto da revista: GENETICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Polimorfismo de Nucleotídeo Único / Sequenciamento Completo do Genoma / Mycobacterium tuberculosis Limite: Humans Idioma: En Revista: BMC Genomics Assunto da revista: GENETICA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China