Respiratory Chain Gene Mutations Associated with Drug-Resistant Mycobacterium Tuberculosis

A dataset of 13,402 Mycobacterium tuberculosis isolates analyzed via whole-genome sequencing to identify respiratory chain gene mutations linked to multidrug resistance. The study, authored by Qiang Ji and uploaded in 2026, identified specific single nucleotide polymorphisms (SNPs) significantly associated with phylogenetic clustering and the formation of multidrug-resistant (MDR) and single-drug-resistant (SDR) isolates.

Use Cases

• Identify genetic markers for drug resistance based on the reported significant SNPs in genes like atpH, cydA, and qcrB.
• Train predictive models for multidrug-resistant (MDR) tuberculosis classification based on the mutation patterns described.
• Analyze phylogenetic clustering of resistant strains using the associated SNP data mentioned in the results.
• Investigate the role of the respiratory chain in antibiotic resistance development as suggested by the study's focus.

Strengths

• Includes data from 13,402 Mycobacterium tuberculosis isolates, providing a substantial sample size.
• Identifies specific significant SNPs (e.g., atpH A428G, cydA C942A) associated with MDR and phylogenetic clustering.
• Uses multiple analytical methods (random forest, gradient boosting, generalized linear mixed models) as noted in the description.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the specific table is unknown, which may limit suitability assessment.
• Data may reflect geographic or sampling bias inherent to the source study on figshare.

Provenance

Source

Qiang Ji via figshare.

Collection Method

Whole-genome sequencing performed on analyzed strains, with statistical models applied to identify significant mutations.

Time Range

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Freshness

Last updated 2026-05-20 04:38:21; freshness should be verified.

Geography

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