Microbial Genomics· 2026Q1
UShER-TB: scalable, comprehensive, accessible phylogenomic analysis of Mycobacterium tuberculosis
- 3citations
- Q1SCImago
- 2026year
Short summary
UShER-TB is a new computational pipeline that enables scalable, comprehensive phylogenomic analysis of Mycobacterium tuberculosis (MTB) genomes, overcoming previous computational limitations.
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Key points
- UShER-TB is a comprehensive pipeline for scalable phylogenomic analysis of Mycobacterium tuberculosis (MTB).
- It processed 129,312 MTB genomes to create a global phylogeny with high accuracy in transmission cluster reconstruction.
- The pipeline identified putative novel lineages and sublineages, and successfully placed ancient DNA samples.
- UShER-TB enables real-time analysis to reveal global transmission hotspots and introduction patterns.
AI-generated from the title and abstract; the full text is not read.
Abstract
Abstract Mycobacterium tuberculosis, the bacterium responsible for the Tuberculosis (TB) disease, remains a leading global infectious disease killer, and genomic epidemiology is essential for understanding its transmission dynamics. Computational limitations prevent comprehensive phylogenetic analysis of the publicly available Mycobacterium tuberculosis genomes. Here, we create UShER-TB, a comprehensive pipeline for scalable phylogenomic MTB analysis. We processed 129,312 MTB genomes to construct a comprehensive global phylogeny capturing unprecedented genomic diversity. UShER-TB achieved high accuracy in transmission cluster reconstruction. The comprehensive phylogeny also facilitated identification of putative novel lineages and sublineages, and successful placement of ancient DNA samples. The UShER-TB platform enables real-time phylogenomic analysis of new genomes, revealing transmission hotspots and introduction patterns at global scales. Our approach overcomes longstanding computational barriers, providing researchers with efficient tools for TB genomic surveillance especially for resource-limited settings where TB burden is highest.
The authors' abstract, as published at the source. Microbial Genomics, 2026 · DOI ↗
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Field: Infectious Diseases
Infectious DiseasesMedicine