Cross‐continental transmission and host adaptation of <i>Mycobacterium tuberculosis</i> in China unveiled by population history reconstruction and adaptive evolution signal detection

The transmission history and adaptive evolution of <i>Mycobacterium tuberculosis</i> complex (MTBC) in China remain underexplored despite its remarkably low diversity and enduring public health burden. Here, we analyzed 23,873 whole genome sequences of MTBC to reconstruct its spread timeline and routes, population dynamics, and host adaptation patterns in China. The Bayesian coalescent models revealed the recurrent introductions of four MTBC sub-lineages (L2.2, L4.2, L4.4, and L4.5) during 1000-400 years ago, by European-Chinese transmission networks, which might have triggered the formation of their local genetic clades in China. These local clades underwent three rapid population expansions that temporally aligned with historical climate cooling events and warfare, and displayed convergent adaptation, including shared mutations and structural variations in macrophage-resistance genes and enhanced genetic diversity in T cell epitopes. The historical mutation rate estimations and neutral mutation simulations indicated that these local clades experienced pronounced macrophage-induced pressures, likely operative over the past two centuries. The DNA information entropy analysis further revealed their adaptive evolution signatures clustered within macrophage-resistance pathways. The gene <i>Rv0801</i>, computationally predicted to exhibit the most prominent adaptive signatures despite its uncharacterized function, was confirmed through recombinant strain infection to enhance intracellular survival in human macrophages. This integrative approach reveals MTBC's evolutionary trajectory in China, provides novel methods for quantifying selection pressures and detecting adaptive evolution signals in prokaryotes, and constructs a comprehensive framework for investigating pathogen transmission dynamics and host adaptation mechanisms.

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Publication Details

Journal
iMetaOmics.
Published
2025-09-20
DOI
https://doi.org/10.1002/imo2.70052
Citations
2
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
2.79
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article

Cross‐continental transmission and host adaptation of Mycobacterium tuberculosis in China unveiled by population history reconstruction and adaptive evolution signal detection

Yan Yu, Jianping Xie, Haiqi Chen, Qun Sun et al.
2 citations
iMetaOmics.
Tuberculosis Research and Epidemiology
2.79
article

Cross‐continental transmission and host adaptation of Mycobacterium tuberculosis in China unveiled by population history reconstruction and adaptive evolution signal detection

Yan Yu, Jianping Xie, Haiqi Chen, Qun Sun, Haibing Yuan, Zhonghua Jiang, Nalin Rastogi, Zhuochong Liu, Andong Zhang, Kangshan Mao, Robert S. Marks, András Dinnyés, Fan Zhang, Yiyang Zhang, Yuhan Tang, Zhiwei Zhou, Wei Wu
article en
2 citations

Abstract

The transmission history and adaptive evolution of <i>Mycobacterium tuberculosis</i> complex (MTBC) in China remain underexplored despite its remarkably low diversity and enduring public health burden. Here, we analyzed 23,873 whole genome sequences of MTBC to reconstruct its spread timeline and routes, population dynamics, and host adaptation patterns in China. The Bayesian coalescent models revealed the recurrent introductions of four MTBC sub-lineages (L2.2, L4.2, L4.4, and L4.5) during 1000-400 years ago, by European-Chinese transmission networks, which might have triggered the formation of their local genetic clades in China. These local clades underwent three rapid population expansions that temporally aligned with historical climate cooling events and warfare, and displayed convergent adaptation, including shared mutations and structural variations in macrophage-resistance genes and enhanced genetic diversity in T cell epitopes. The historical mutation rate estimations and neutral mutation simulations indicated that these local clades experienced pronounced macrophage-induced pressures, likely operative over the past two centuries. The DNA information entropy analysis further revealed their adaptive evolution signatures clustered within macrophage-resistance pathways. The gene <i>Rv0801</i>, computationally predicted to exhibit the most prominent adaptive signatures despite its uncharacterized function, was confirmed through recombinant strain infection to enhance intracellular survival in human macrophages. This integrative approach reveals MTBC's evolutionary trajectory in China, provides novel methods for quantifying selection pressures and detecting adaptive evolution signals in prokaryotes, and constructs a comprehensive framework for investigating pathogen transmission dynamics and host adaptation mechanisms.

iMetaOmics.Vol. 2(4)
Ben-Gurion University of the Negev (IL), Southwest University (CN), Sichuan University (CN), BioTalentum (Hungary) (HU), Institut Pasteur de la Guadeloupe (GP), Institute of Animal Physiology of the Slovak Academy of Sciences (SK)
Openalex Percentile: Top 9%
Tuberculosis Research and Epidemiology
2.79
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