Drug selection based on pan-genomics genetic features of Mycobacterium tuberculosis

Tuberculosis, caused by <i>Mycobacterium tuberculosis</i>, is a severe and persistent global public health issue, particularly exacerbated by the emergence of multidrug-resistant and extensively drug-resistant strains. This study employed pan-genomic approaches to analyze different strains with various resistance profiles, examining the diversity of bacterial genetic evolution in relation to mutations in resistance-related genes. The findings indicate that resistance-related genes are mostly core genes (94%), with a preference for base mutations closely associated with nonsynonymous mutations at resistance sites. Interestingly, while the majority of drugs induce positive selection in target genes, the tlyA gene under the influence of amikacin (AMI) undergoes passive selection. Cluster analysis of target genes suggests consistency between SNP clusters and drug-resistant clusters, revealing a strong correlation between bacterial evolutionary branches and resistance profiles. Consequently, based on pan-genome evolutionary characteristics, we identified the drug-resistant mutation pattern (DRMP) that can serve as a molecular fingerprint and indicator for drug sensitivity, aiding in the assessment and guidance of drug selection for treating different strains and the formulation of individualized treatment plans. This research not only enhances our understanding of the mechanisms of drug resistance in <i>M. tuberculosis</i> but also offers new perspectives for the development of new drugs, which is crucial for global tuberculosis control.

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Publication Details

Journal
Frontiers in Microbiology
Published
2025-09-02
DOI
https://doi.org/10.3389/fmicb.2025.1663069
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
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article

Drug selection based on pan-genomics genetic features of Mycobacterium tuberculosis

Panpan Xu, Yan Li, Ning Wang, Xiangcheng Sun et al.
Frontiers in Microbiology
Tuberculosis Research and Epidemiology
article

Drug selection based on pan-genomics genetic features of Mycobacterium tuberculosis

Panpan Xu, Yan Li, Ning Wang, Xiangcheng Sun, Yun Shi
article en

Abstract

Tuberculosis, caused by <i>Mycobacterium tuberculosis</i>, is a severe and persistent global public health issue, particularly exacerbated by the emergence of multidrug-resistant and extensively drug-resistant strains. This study employed pan-genomic approaches to analyze different strains with various resistance profiles, examining the diversity of bacterial genetic evolution in relation to mutations in resistance-related genes. The findings indicate that resistance-related genes are mostly core genes (94%), with a preference for base mutations closely associated with nonsynonymous mutations at resistance sites. Interestingly, while the majority of drugs induce positive selection in target genes, the tlyA gene under the influence of amikacin (AMI) undergoes passive selection. Cluster analysis of target genes suggests consistency between SNP clusters and drug-resistant clusters, revealing a strong correlation between bacterial evolutionary branches and resistance profiles. Consequently, based on pan-genome evolutionary characteristics, we identified the drug-resistant mutation pattern (DRMP) that can serve as a molecular fingerprint and indicator for drug sensitivity, aiding in the assessment and guidance of drug selection for treating different strains and the formulation of individualized treatment plans. This research not only enhances our understanding of the mechanisms of drug resistance in <i>M. tuberculosis</i> but also offers new perspectives for the development of new drugs, which is crucial for global tuberculosis control.

Frontiers in MicrobiologyVol. 16
Sichuan University (CN), West China Hospital of Sichuan University (CN)
Openalex Percentile: Top 72%
Tuberculosis Research and Epidemiology
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Drug selection based on pan-genomics genetic features of Mycobacterium tuberculosis — Panpan Xu, Yan Li, et al. · Frontiers in Microbiology (2025) | TGRS Research Map | TGRS