Table 10_Respiratory chain gene mutations associated with global phylogenetic clustering o

13,402 isolates of Mycobacterium tuberculosis were analyzed using whole-genome sequencing to identify mutations associated with drug resistance. The study identified specific single nucleotide polymorphisms (SNPs) in respiratory chain genes linked to multidrug-resistant (MDR) and single-drug resistant (SDR) isolates. Author Qiang Ji published this data under a CC-BY-4.0 license on figshare in May 2026.

Use Cases

• Identifying genetic markers for drug-resistant tuberculosis based on the reported single nucleotide polymorphisms (SNPs).
• Training predictive models for drug resistance classification using the mutation data described.
• Analyzing phylogenetic clustering patterns of resistant isolates based on the associated respiratory chain gene mutations.

Strengths

• Includes data from 13,402 Mycobacterium tuberculosis isolates, providing a substantial sample size.
• Identifies specific SNPs in genes like atpH, cydA, and qcrA that are significantly associated with drug resistance.
• Published under a permissive CC-BY-4.0 license, facilitating reuse and redistribution.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is very small (16.9 KB), suggesting it likely contains summary or processed results rather than raw sequencing data.

Provenance

Source

figshare, uploaded by author Qiang Ji.

Collection Method

Whole-genome sequencing was 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 04:38:22; freshness should be verified.

Geography

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