Evidence map›Paper›PMID 41315227›Full record

ArticleNature communications2025

Genome graphs reveal the importance of structural variation in Mycobacterium tuberculosis evolution and drug resistance.

Aleix Canalda-Baltrons, Matthew Silcocks, Michael B Hall, Derrick Theys, Xuling Chang 常戌灵, Linda T Viberg, Norelle L Sherry, Lachlan Coin, Sarah J Dunstan

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Lineage-associated small inversions disruptMicrobiology spectrum · 2026
    Article
  2. Article
  3. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Aleix Canalda-BaltronsDepartment of Infectious Diseases, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0001-8366-7377
Matthew SilcocksDepartment of Infectious Diseases, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-1527-5168
Michael B HallDepartment of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0003-3683-6208
Derrick TheysDepartment of Infectious Diseases, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.
Xuling Chang 常戌灵Department of Infectious Diseases, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0001-7471-4768
Linda T VibergVictorian Infectious Diseases Reference Laboratory, Melbourne Health at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-4174-1142
Norelle L SherryMicrobiological Diagnostic Unit Public Health Laboratory (MDU PHL), The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-7789-8360
Lachlan CoinDepartment of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia.ORCID http://orcid.org/0000-0002-4300-455X
Sarah J DunstanDepartment of Infectious Diseases, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia. sarah.dunstan@unimelb.edu.au.ORCID http://orcid.org/0000-0001-7873-933X

Funding

Systems Biology, Bioinformatics, & Data IntegrationU19AI162583 · NIAID · UNIVERSITY OF WASHINGTON · PI COX, JEFFERY S, HAWN, THOMAS R · 2021 to 2025
$13.0M
NIAID NIH HHS U19 AI162583
6 · The paper itself

Abstract

Structural variants (SVs) are increasingly recognized as key drivers of bacterial evolution, yet their role has not been explored thoroughly. This is due to limitations in traditional short-read sequencing and linear reference-based analyses, which can miss complex structural changes. Tuberculosis (TB), a disease caused by Mycobacterium tuberculosis (Mtb), remains a major global health concern. In this study, we harness long-read sequencing technologies and genome graph tools to construct a Mtb pangenome reference graph (PRG) from 859 high-quality, diverse, long-read assemblies. To enable accurate genotyping of SVs leveraging the PRG, we developed miniwalk, a tool that outperforms a traditional linear genome-based approach in precision for SV detection. We characterize patterns of structural variation genome-wide, revealing a virulence-associated ESX-5 deletion to be recurrent across the phylogeny, and fixed in a sub-lineage of L4. Systematic screens for additional genes that are recurrently affected by SVs implicated those related to metal homeostasis, including a copper exporter fixed in the widely distributed L1.2.1 sub-lineage. Lastly, we genotyped 41,134 isolates and found SVs putatively associated with resistance to various first and second-line drugs. These findings underscore the broader role of SVs in shaping Mtb diversity, highlighting their importance in both understanding evolution and designing strategies to combat drug-resistant TB.

Indexed as

Drug Resistance, BacterialEvolution, MolecularGenome, BacterialGenomic Structural VariationMycobacterium tuberculosisAntitubercular AgentsGenotypeHumansPhylogenyTuberculosisAntitubercular Agents

Identifiers

PMID41315227
PMCPMC12663572

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.