LysG-driven transcriptional network rewiring underlies lineage-specific phenotypes in Mycobacterium tuberculosis

The Mycobacterium tuberculosis complex (MTBC) includes ten human-adapted lineages with varying geography and pathogenicity. Lineage 1 (L1) shows low virulence while Lineage 2 (L2) is hyper-virulent, more transmissible, and associated with drug-resistance. We performed comparative analyses integrating whole-genome sequencing with transcriptomic and proteomic profiling of L1 and L2 clinical strains under two in vitro growth conditions. Transcript-protein correlations varied by strain and gene category, suggesting lineage-specific post-translational regulation. Expression differences scaled with phylogenetic distance, one in three SNPs affected gene expression. A new transcriptional regulatory model identified master transcription factors, linked to the sigma factor network, whose targets were differentially expressed between L1 and L2. For instance, DosR regulon proteins had higher basal levels and exhibited a stronger nitric oxide response in L2. Time-course experiments involving LysG (Rv1985c) induction and wild-type H37Rv under hypoxia and subsequent reaeration confirmed that LysG contributes to reduced metabolic activity, thereby promoting increased tolerance to the novel tuberculosis drug bedaquiline in L2 strains relative to L1. Overall, our findings show how limited genetic variation in the MTBC can yield major phenotypic differences through differential regulation of key transcriptional networks.

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Publication Details

Journal
Nature Communications
Published
2026-03-23
DOI
https://doi.org/10.1038/s41467-026-70539-4
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
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article

LysG-driven transcriptional network rewiring underlies lineage-specific phenotypes in Mycobacterium tuberculosis

Tige R. Rustad, Olga T. Schubert, Ludovic Gillet, Andrej Trauner et al.
Nature Communications
Tuberculosis Research and Epidemiology
article

LysG-driven transcriptional network rewiring underlies lineage-specific phenotypes in Mycobacterium tuberculosis

Tige R. Rustad, Olga T. Schubert, Ludovic Gillet, Andrej Trauner, Julia Feldmann, Sebastian M. Gygli, Christian Beisel, Sònia Borrell, Amir Banaei-Esfahani, Sebastien Gagneux, Ruedi Aebersold, David R. Sherman, Ben C. Collins
article en

Abstract

The Mycobacterium tuberculosis complex (MTBC) includes ten human-adapted lineages with varying geography and pathogenicity. Lineage 1 (L1) shows low virulence while Lineage 2 (L2) is hyper-virulent, more transmissible, and associated with drug-resistance. We performed comparative analyses integrating whole-genome sequencing with transcriptomic and proteomic profiling of L1 and L2 clinical strains under two in vitro growth conditions. Transcript-protein correlations varied by strain and gene category, suggesting lineage-specific post-translational regulation. Expression differences scaled with phylogenetic distance, one in three SNPs affected gene expression. A new transcriptional regulatory model identified master transcription factors, linked to the sigma factor network, whose targets were differentially expressed between L1 and L2. For instance, DosR regulon proteins had higher basal levels and exhibited a stronger nitric oxide response in L2. Time-course experiments involving LysG (Rv1985c) induction and wild-type H37Rv under hypoxia and subsequent reaeration confirmed that LysG contributes to reduced metabolic activity, thereby promoting increased tolerance to the novel tuberculosis drug bedaquiline in L2 strains relative to L1. Overall, our findings show how limited genetic variation in the MTBC can yield major phenotypic differences through differential regulation of key transcriptional networks.

Nature Communications
Queen's University Belfast (GB), Swiss Tropical and Public Health Institute (CH), University of Basel (CH), University of Washington (US), ETH Zurich (CH), Swiss Finance Institute (CH)
Zero hunger
Openalex Percentile: Top 13%
Tuberculosis Research and Epidemiology
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