Unraveling Epistatic Interactions Between Sites Under Drug-Dependent Selection in the <i>Mycobacterium tuberculosis</i> Genome

Many Mycobacterium tuberculosis genome sites experience different selective forces depending on whether a patient is treated with antibiotics. Here, we searched for pairs of such sites that evolve interdependently. We reconstructed the phylogeny of more than 11,000 Mycobacterium tuberculosis clinical isolates with known phenotypes for at least one of the 13 antitubercular drugs. By analyzing the distributions of substitutions and phenotypic state changes on the phylogeny, we identified sites where substitutions were associated with the acquisition of drug resistance or occurred preferentially in resistant or susceptible lineages. Among these sites, we searched for concordantly and discordantly evolving site pairs, carefully accounting for the presence of drug-associated selection and other coordinated selective forces. We identified one concordantly evolving site pair and 14 discordantly evolving site pairs between sites that are known to be strongly associated with resistance to antitubercular drugs. The concordantly evolving site pair and five out of 14 discordantly evolving site pairs were between sites whose substitutions were associated with resistance to different drugs, while the other nine discordantly evolving site pairs were between sites located either in the same genes or in different genes involved in alternative adaptive pathways to the same drugs. Overall, our findings emphasize the dual role of epistasis, which can both promote and limit the acquisition of resistance to multiple drugs.

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Publication Details

Journal
Molecular Biology and Evolution
Published
2025-10-15
DOI
https://doi.org/10.1093/molbev/msaf264
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00

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article

Unraveling Epistatic Interactions Between Sites Under Drug-Dependent Selection in the Mycobacterium tuberculosis Genome

Dmitry Vyacheslavovich Bosov, Kirill Reshetnikov, Daria Bykova, Alexey D. Neverov et al.
Molecular Biology and Evolution
Tuberculosis Research and Epidemiology
article

Unraveling Epistatic Interactions Between Sites Under Drug-Dependent Selection in the Mycobacterium tuberculosis Genome

Dmitry Vyacheslavovich Bosov, Kirill Reshetnikov, Daria Bykova, Alexey D. Neverov, Anfisa V. Popova, Gennady G. Fedonin
article en

Abstract

Many Mycobacterium tuberculosis genome sites experience different selective forces depending on whether a patient is treated with antibiotics. Here, we searched for pairs of such sites that evolve interdependently. We reconstructed the phylogeny of more than 11,000 Mycobacterium tuberculosis clinical isolates with known phenotypes for at least one of the 13 antitubercular drugs. By analyzing the distributions of substitutions and phenotypic state changes on the phylogeny, we identified sites where substitutions were associated with the acquisition of drug resistance or occurred preferentially in resistant or susceptible lineages. Among these sites, we searched for concordantly and discordantly evolving site pairs, carefully accounting for the presence of drug-associated selection and other coordinated selective forces. We identified one concordantly evolving site pair and 14 discordantly evolving site pairs between sites that are known to be strongly associated with resistance to antitubercular drugs. The concordantly evolving site pair and five out of 14 discordantly evolving site pairs were between sites whose substitutions were associated with resistance to different drugs, while the other nine discordantly evolving site pairs were between sites located either in the same genes or in different genes involved in alternative adaptive pathways to the same drugs. Overall, our findings emphasize the dual role of epistasis, which can both promote and limit the acquisition of resistance to multiple drugs.

Molecular Biology and EvolutionVol. 42(11)
National Research University Higher School of Economics (RU), Lomonosov Moscow State University (RU), International University in Moscow (RU), Central Research Institute of Epidemiology (RU), Moscow State University (TJ), Columbia University (US)
Russian Science Foundation
Openalex Percentile: Top 65%
Tuberculosis Research and Epidemiology
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