Phylodynamic analysis reveals disparate transmission dynamics of Mycobacterium tuberculosis complex lineages in Botswana

Tuberculosis epidemics have traditionally been conceptualized as arising from a single uniform pathogen. However, Mycobacterium tuberculosis complex (Mtbc), the pathogen causing tuberculosis in humans, encompasses multiple lineages exhibiting genetic and phenotypic diversity that may be responsible for heterogeneity in tuberculosis transmission. We analysed a population-based dataset of 1,354 Mtbc whole-genome sequences collected over four years in Botswana, a country with high HIV and tuberculosis burden. We identified Lineage 4 (L4) as the most prevalent (87.4%), followed by L1 (6.4%), L2 (5.3%), and L3 (0.9%). Within L4, multiple sublineages were identified, with L4.3.4 being the predominant sublineage. Phylodynamic analysis revealed that L4.3.4 expanded steadily from the late 1800s to early 2000s. Conversely, L1, L4.4, and L4.3.2 showed population trajectories closely aligned with the HIV epidemic. Meanwhile, L2 saw rapid expansion throughout most of the 20th century but declined sharply in the early 1990s. Additionally, pairwise genome comparison of Mtbc highlighted differences in clustering proportions due to recent transmission at the sublineage level. These findings emphasize the diverse transmission dynamics of strains of different Mtbc lineages and highlight the potential for phylodynamic analysis of routine sequences to refine our understanding of lineage-specific behaviors.

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Publication Details

Journal
Scientific Reports
Published
2025-12-23
DOI
https://doi.org/10.1038/s41598-025-31425-z
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
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article

Phylodynamic analysis reveals disparate transmission dynamics of Mycobacterium tuberculosis complex lineages in Botswana

Q. Wang, Ivan Barilar, Patrick K. Moonan, Alyssa Finlay et al.
Scientific Reports
Tuberculosis Research and Epidemiology
article

Phylodynamic analysis reveals disparate transmission dynamics of Mycobacterium tuberculosis complex lineages in Botswana

Q. Wang, Ivan Barilar, Patrick K. Moonan, Alyssa Finlay, Chawangwa Modongo, Timothy F. Brewer, Sanghyuk S. Shin, Tuduetso Molefi, Nicola M. Zetola, John E. Oeltmann, Stefan Niemann, Vladimir N. Minin, Rosanna Boyd
article en

Abstract

Tuberculosis epidemics have traditionally been conceptualized as arising from a single uniform pathogen. However, Mycobacterium tuberculosis complex (Mtbc), the pathogen causing tuberculosis in humans, encompasses multiple lineages exhibiting genetic and phenotypic diversity that may be responsible for heterogeneity in tuberculosis transmission. We analysed a population-based dataset of 1,354 Mtbc whole-genome sequences collected over four years in Botswana, a country with high HIV and tuberculosis burden. We identified Lineage 4 (L4) as the most prevalent (87.4%), followed by L1 (6.4%), L2 (5.3%), and L3 (0.9%). Within L4, multiple sublineages were identified, with L4.3.4 being the predominant sublineage. Phylodynamic analysis revealed that L4.3.4 expanded steadily from the late 1800s to early 2000s. Conversely, L1, L4.4, and L4.3.2 showed population trajectories closely aligned with the HIV epidemic. Meanwhile, L2 saw rapid expansion throughout most of the 20th century but declined sharply in the early 1990s. Additionally, pairwise genome comparison of Mtbc highlighted differences in clustering proportions due to recent transmission at the sublineage level. These findings emphasize the diverse transmission dynamics of strains of different Mtbc lineages and highlight the potential for phylodynamic analysis of routine sequences to refine our understanding of lineage-specific behaviors.

Scientific ReportsVol. 16(1)
Centers for Disease Control and Prevention (US), University of California, Los Angeles (US), University of California, Irvine (US), Augusta University (US), German Center for Infection Research (DE), Research Center Borstel - Leibniz Lung Center (DE), Irvine University (US), Ministry of Health (BW)
Good health and well-being
Openalex Percentile: Top 31%
Tuberculosis Research and Epidemiology
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