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

  • Valencia Region TB Working Group
  • Instituto de Biomedicina de Valencia (IBV-CSIC)
  • University of Valencia
  • Sequencing and Bioinformatics Genomic Core Unit
  • European Bioinformatics Institute
  • University of Oxford
  • NIHR Oxford Biomedical Research Centre
  • Hospital Universitari i Politècnic La Fe
  • Hospital de Denia
  • Hospital Universitario de La Ribera
  • Hospital Virgen de los Lírios
  • Hospital General Universitario de Alicante
  • Hospital General Universitario de Elche
  • ISCIII
  • Hospital Francesc de Borja
  • Hospital Universitario Doctor Peset
  • Departamento de Microbiología. Facultad de Medicina. Universidad de Valencia
  • Consorcio Hospital General Universitario de Valencia
  • Hospital Clínico Universitario
  • Hospital General Universitario de Castellón
  • Consortium for Biomedical Research in Epidemiology and Public Health

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number7242
Number of pages20
JournalNature Communications
Volume17
Issue number1
Early online date6 Jun 2026
DOIs
Publication statusE-pub ahead of print - 6 Jun 2026

Data Availability Statement

All data generated or analysed during this study have been deposited in the European Nucleotide Archive under accession codes PRJEB29604, PRJEB38719, PRJEB65844, PRJEB89456, PRJEB89397, PRJEB70424, and PRJEB89421 and are publicly available. The accession numbers for each sample are included in Supplementary Data 1, 2, and 10. Source data are provided with this paper.

Funding

This project received funding from the European Research Council under the European Union’s Horizon 2020 Research and Innovation Programme (Grant 101001038, TB-RECONNECT) awarded to I.C. Additional support was provided by the Spanish Ministry of Science and Innovation (PID2022-137607OB-I00) and the Generalitat Valenciana (Project CIPROM/2023/30), both also awarded to I.C., and PID2021-127919OB-I00 and PID2024-155977OB-I00 to FGC. AGM has been supported by a ‘Formación de Profesorado Universitario’ (FPU) grant (FPU19/04562) from the Spanish Ministry of Universities, and the Health Research 2021 Programme (TB-TARGET_HR21-00415) by LaCaixa Foundation. Work in IC’s laboratory is further supported by the European Union’s Next Generation, through CSIC’s Global Health Platform (PTI Salud Global). JAR is hired under the Generation D initiative, promoted by Red.es, an organisation attached to the Ministry for Digital Transformation and the Civil Service, for the attraction and retention of talent through grants and training contracts (MMT24-PTI-SG-01), financed by the Recovery, Transformation, and Resilience Plan through the European Union’s Next Generation funds.

FundersFunder number
'la Caixa' Foundation
European Research Council
Ministerio de Ciencia e InnovaciónPID2022-137607OB-I00
Horizon 2020 Framework Programme101001038
Ministerio de UniversidadesTB-TARGET_HR21-00415
Civil ServiceMMT24-PTI-SG-01
Generalitat ValencianaPID2024-155977OB-I00, FPU19/04562, PID2021-127919OB-I00, CIPROM/2023/30

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

ASJC Scopus subject areas

  • General Chemistry
  • General Biochemistry,Genetics and Molecular Biology
  • General
  • General Physics and Astronomy

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