Identification of novel single nucleotide variants in the drug resistance mechanism of Mycobacterium tuberculosis isolates by whole-genome analysis

被引:2
作者
Qian, Weiye [1 ]
Ma, Nan [1 ]
Zeng, Xi [2 ,3 ]
Shi, Mai [4 ]
Wang, Mingqiang [5 ]
Yang, Zhiyuan [1 ,4 ]
Tsui, Stephen Kwok-Wing [4 ,6 ]
机构
[1] Hangzhou Dianzi Univ, Sch Artificial Intelligence, Hangzhou 310018, Peoples R China
[2] Huazhong Agr Univ, Coll Informat, Agr Bioinformat Key Lab Hubei Prov, Wuhan 430070, Peoples R China
[3] Huazhong Agr Univ, Coll Informat, 3D Genom Res Ctr, Wuhan 430070, Peoples R China
[4] Chinese Univ Hong Kong, Sch Biomed Sci, Hong Kong, Peoples R China
[5] Stanford Univ, Sch Med, Stanford Cardiovasc Inst, Stanford, CA 94305 USA
[6] Chinese Univ Hong Kong, Hong Kong Bioinformat Ctr, Hong Kong, Peoples R China
基金
中国国家自然科学基金;
关键词
Mycobacterium tuberculosis; Single nucleotide variant; Whole-genome sequencing;
D O I
10.1186/s12864-024-10390-3
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
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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