Mycobacterium Tuberculosis Respiratory Chain Gene Mutations Linked to Drug Resistance

13,402 isolates of Mycobacterium tuberculosis were analyzed via whole-genome sequencing to identify mutations linked to drug resistance. The study, authored by Qiang Ji and last updated in May 2026, identified specific SNPs in genes like atpH, cydA, and qcrB significantly associated with multidrug-resistant (MDR) and single-drug resistant (SDR) isolates. These findings provide insights into the genetic basis of drug resistance clustering and development.

Use Cases

• Identifying genetic markers for multidrug-resistant tuberculosis based on whole-genome sequencing data.
• Training predictive models for drug resistance classification using identified SNP patterns.
• Analyzing phylogenetic clustering of resistant strains based on mutations in respiratory chain genes.

Strengths

• Includes data from 13,402 Mycobacterium tuberculosis isolates, providing a substantial sample size.
• Identifies specific SNPs in 14 respiratory chain genes (e.g., atpH A428G, cydA C942A) with reported statistical significance.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for specific modeling tasks.
• The dataset is very small (15.7 KB), indicating it likely contains summary results rather than raw genomic data.

Provenance

Source

figshare, author Qiang Ji.

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

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Freshness

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

Geography

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