Respiratory Chain Gene Mutations Associated with Drug-Resistant Mycobacterium Tuberculosis

13,402 isolates of Mycobacterium tuberculosis were analyzed via whole-genome sequencing to identify mutations in respiratory chain genes linked to multidrug resistance. The study, authored by Qiang Ji and last updated in May 2026, used random forest and gradient boosting models to find significant associations between specific SNPs and the phylogenetic clustering and formation of MDR isolates. Results highlight specific mutations in genes like atpH, cydA, and qcrB.

Use Cases

• Identify genetic markers for multidrug-resistant tuberculosis based on whole-genome sequencing data.
• Analyze associations between single nucleotide polymorphisms in respiratory chain genes and drug resistance.
• Build predictive models for phylogenetic clustering of resistant isolates using mutation data.
• Investigate potential therapeutic targets by studying mutations in genes like ndhA, cydA, and nuoG.

Strengths

• Includes data from 13,402 Mycobacterium tuberculosis isolates, providing a substantial sample size.
• Identifies specific SNPs (e.g., atpH A428G, cydA C942A) significantly associated with MDR, offering concrete genetic targets.
• Released under a CC-BY-4.0 license, permitting open reuse and adaptation.

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.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Qiang Ji via figshare

Collection Method

Whole-genome sequencing performed on analyzed strains, with analysis using random forest, gradient boosting decision tree, and generalized linear mixed models.

Time Range

null

Freshness

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

Geography

null