Evidence map›Paper›PMID 42251028›Full record

ArticleNature communications2026

Complete genomes reveal a refined map of Mycobacterium tuberculosis genetic diversity across evolutionary scales.

Ana María García-Marín, Manuela Torres-Puente, Llúcia Martinez-Priego, Griselda De Marco, Miguel Moreno-Molina, Martin Hunt, Zamin Iqbal, Ana Gil-Brusola, Valencia Region TB Working Group, Mariana G López and 3 more

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Ana María García-MarínTuberculosis Genomics Unit, Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain.ORCID http://orcid.org/0000-0003-2830-9555
Manuela Torres-PuenteTuberculosis Genomics Unit, Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain.ORCID http://orcid.org/0000-0002-8352-180X
Llúcia Martinez-PriegoSequencing and Bioinformatics Genomic Core Unit, FISABIO-Salut Pública, València, Spain.ORCID http://orcid.org/0000-0002-1073-269X
Griselda De MarcoSequencing and Bioinformatics Genomic Core Unit, FISABIO-Salut Pública, València, Spain.
Miguel Moreno-MolinaTuberculosis Genomics Unit, Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain.ORCID http://orcid.org/0000-0003-0305-4445
Martin HuntEuropean Bioinformatics Institute, Hinxton, UK.
Zamin IqbalEuropean Bioinformatics Institute, Hinxton, UK.ORCID http://orcid.org/0000-0001-8466-7547
Ana Gil-BrusolaMicrobiology Service, Hospital Universitari i Politècnic La Fe, Valencia, Spain.ORCID http://orcid.org/0000-0002-4418-3676
Valencia Region TB Working Group
Mariana G LópezTuberculosis Genomics Unit, Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain.ORCID http://orcid.org/0000-0002-2216-9232
Fernando González-CandelasJoint Research Unit 'Infección y Salud Pública' FISABIO, University of Valencia-I2SysBio, Valencia, Spain.ORCID http://orcid.org/0000-0002-0879-5798
Javier Alonso-Del-RealTuberculosis Genomics Unit, Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain.
Iñaki ComasTuberculosis Genomics Unit, Instituto de Biomedicina de Valencia (IBV-CSIC), Valencia, Spain. icomas@ibv.csic.es.ORCID http://orcid.org/0000-0001-5504-9408

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 101001038Generalitat Valenciana (Regional Government of Valencia) CIPROM/2023/30"la Caixa" Foundation (Caixa Foundation) TB-TARGET_HR21-00415
6 · The paper itself

Abstract

Elucidating the evolution and epidemiology of Mycobacterium tuberculosis requires comprehensive characterization of its genomic diversity; however, short-read sequencing fails to resolve part of this variation. Here, we assembled 216 complete genomes from clinical isolates in the Valencia Region, Spain, using long-read sequencing. This dataset, mostly encompassing Lineage 4, provides a refined map of M. tuberculosis genetic diversity across evolutionary scales. Complete genomes uncover a median of 312 (-1 to 792) additional SNPs per pairwise comparison, revealing an estimated evolutionary rate 1.44-fold higher than that inferred from short-read mapping. This diversity is concentrated in discrete hotspots, particularly within the pe/ppe gene family, where gene conversion is a major driver of nucleotide diversity. While most PE/PPE epitopes remain highly conserved, suggesting strong purifying selection, some involved in vaccine candidates are affected by gene conversion, with unknown consequences. At the epidemiological scale, additional resolution is gained from SNPs previously masked and newly resolved indels and structural variation, refining genetic transmission networks. Finally, at the within-host level, the use of patient-specific reference genomes allows us to capture genuine diversity during infection, showing that previous approaches led to false positive calls. Together, these findings delineate the landscape of M. tuberculosis genomic diversity and provide a framework for more accurate inference of pathogen evolution, host-pathogen interactions, and transmission dynamics.

Indexed as

Evolution, MolecularGenetic VariationGenome, BacterialMycobacterium tuberculosisHumansPhylogenyPolymorphism, Single NucleotideSpainTuberculosis

Identifiers

PMID42251028
PMCPMC13396471

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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.