Genomics, proteomics & bioinformatics · 2026
NTM-DB: A Comprehensive Non-tuberculosis Mycobacteria Genomic Database.
СтатьяНазвание и аннотация: Перевод в очереди
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Lu Tianyi, Li Cuidan, Wei Haobin, Zhang Yadong, Fan Zhuojing, Jiang Xiaoyuan, Wang Jie, Wang Peihan, Shang Kang, Huang Yuting, Yang Hongwei, Tuohetaerbaike Bahetibieke, Li Ying, Niu Haitao, Zhang Wenbao, Wen Hao, Sheng Yongjie, Xiao Jingfa, Chen Fei
Аннотация
Non-tuberculous mycobacteria (NTM) are a major group of environmental bacteria, approximately one-third of which cause serious human infections, particularly respiratory diseases. The global rise in the prevalence and severity of NTM infections has posed a major public health challenge. While high-throughput sequencing has generated vast genomic data on NTM, there remains a lack of comprehensive resources for cross-species genomic analysis. To address these limitations, we developed a specialized database, the Non-tuberculosis Mycobacteria Genomic Database (NTM-DB), tailored for NTM researchers and clinicians. NTM-DB offers the most comprehensive collection of NTM genomic and bioinformatic resources, including 16,469 genome assemblies (13,134 newly assembled genomes), 189 type/standard strain genomes representing 177 species and 12 subspecies, 705 multi-locus sequence typing (MLST) types, 33,240 resistance genes, and 74,315 virulence genes. A user-friendly interactive website was constructed to enable efficient browsing, MLST profiling, searching, online analysis, and downloading of the aforementioned data. Notably, with online analysis tools, users can perform customized genotyping, cross-species phylogeny, pan-genome, and virulence and drug resistance gene annotation analyses using our data and/or their uploaded data. Overall, with its comprehensive data, intuitive interface, and powerful analysis tools, NTM-DB serves as an important resource and reference for NTM researchers and clinicians, thereby improving the diagnosis and treatment of various NTM-related diseases and supporting both scientific discovery and clinical practice. NTM-DB is publicly accessible at https://ngdc.cncb.ac.cn/ntmdb.