New NTM-DB maps thousands of non-tuberculous mycobacteria genomes

Non-tuberculous mycobacteria (NTM) are a diverse group of environmental bacteria, and roughly one-third of NTM species can cause serious human infections, especially in the lungs. In recent years the number and severity of NTM infections have risen worldwide, creating a growing public health challenge. At the same time, advances in high-throughput sequencing have produced huge amounts of genomic data on these organisms, but researchers and clinicians have lacked a single, comprehensive way to compare genomes across species. To fill that gap, a team led by corresponding author Fei Chen built NTM-DB, a dedicated database and web portal (https://ngdc.cncb.ac.cn/ntmdb) tailored to NTM research and clinical needs. NTM-DB aggregates a vast collection of genomic and bioinformatic resources into an accessible platform, consolidating 16,469 genome assemblies (13,134 newly assembled genomes), 189 type/standard strain genomes representing 177 species and 12 subspecies, 705 MLST types, 33,240 resistance genes, and 74,315 virulence genes. The project aims to make cross-species genomic comparison and clinical interpretation much easier for a wide range of users.

To create NTM-DB the team combined high-throughput sequencing data with large-scale genome assembly and annotation efforts, producing 13,134 newly assembled genomes and integrating previously available sequences to reach a total of 16,469 genome assemblies. The database includes 189 type/standard strain genomes representing 177 species and 12 subspecies, and catalogs 705 MLST types for multilocus sequence typing comparisons. Bioinformatic annotation identified 33,240 resistance genes and 74,315 virulence genes across the collection. The developers built a user-friendly interactive website that supports efficient browsing, MLST profiling, searching, online analysis, and downloading of these data. Notably, NTM-DB provides online analysis tools that allow users to run customized genotyping, cross-species phylogeny, pan-genome, and virulence and drug resistance gene annotation analyses using the database holdings and/or data uploaded by the user. The platform is positioned as both a reference repository and an analysis environment for NTM researchers and clinicians.

By gathering comprehensive genomic data and practical analysis tools in one place, NTM-DB addresses a key bottleneck in NTM research and clinical practice: the lack of resources for cross-species genomic comparison. Clinicians can consult the database to explore MLST profiles, search strain information, and examine annotated resistance and virulence genes that may inform diagnosis and management of NTM-related respiratory and other infections. Researchers gain a standardized dataset for pan-genome studies, comparative phylogeny, and investigations into the genetic basis of pathogenicity and drug resistance. The web-based tools also let users bring their own sequence data into the same analytic framework, supporting collaborative discovery and faster translation of genomic findings into practice. Overall, NTM-DB aims to improve both scientific understanding and patient care by making large-scale NTM genomics accessible, searchable, and analytically useful for a broad audience.