Search bioRxiv⌕ Search

bioRxiv · 10.1101/2025.10.13.681998

Deciphering the transcriptomic landscape of pyrazinamide resistance in Mycobacterium tuberculosis

Abstract

Pyrazinamide resistance in Mycobacterium tuberculosis poses a major challenge to tuberculosis management and is primarily linked to pncA mutations, while the broader transcriptional adaptations underlying this resistance remain unclear. In this study, we performed a comparative analysis of the transcriptomic response of a mutant clinical strain and the drug-susceptible laboratory strain H37Rv under PZA exposure and non-exposure conditions. The clinical strain used for this analysis carried a 10-nucleotide deletion mutation in pncA (positions 118-127) that abolished PZA activation, identified in our previous study. The critical drug concentrations were established at 200 {micro}g/mL for the clinical strain (CST) and 12.5 {micro}g/mL for the H37Rv strain (RvT), with the untreated H37Rv strain (UTRv) used as a reference. RNA-sequence profiles from treated and untreated conditions were analyzed to identify differentially expressed genes, followed by functional enrichment, KEGG pathway mapping, and protein-protein interaction network analysis. Analysis revealed 3,413 differentially expressed genes (padj [≤] 0.05), including 1,428 upregulated and 1,360 downregulated genes. Functional enrichment was predominantly detected in CST vs. RvT followed by CST vs. UTRv, whereas no significant enrichment emerged in RvT vs. UTRv, underscoring the mutations dominant influence on the pyrazinamide response. The ribosomal machinery genes rplC, rplD, and rpsH were significantly enriched and strongly upregulated in the mutant strain under treatment but only mildly regulated in the laboratory strain. We observed that several anti-TB drug targets (katG, ethA, atpE, panD) were downregulated, and a few efflux pumps (Rv1258, Rv3008, Rv3756c) were upregulated, reflecting cross-resistance mechanisms. Network analysis identified 19 clusters, and prominent modules comprised polyketide synthases, PDIM synthesis genes, fatty acid {beta}-oxidation enzymes and ESX secretion system. These interconnected modules highlight the metabolic and structural strategies that support persistence under drug pressure. Collectively, our findings link mutation-driven and PZA-induced transcriptomic alterations to adaptive pathways and provide insights into the mechanisms underlying tolerance and potential therapeutic opportunities. Author summaryPyrazinamide is a vital anti-tuberculosis drug, which helps to shorten the treatment duration and while resistance is common, it is not completely understood. Our previous work identified a clinical strain of Mycobacterium tuberculosis that was resistant to pyrazinamide due to a mutation in target gene responsible for drug activity. In this study, we compared the gene expression pattern of this resistant strain with a standard laboratory strain under drug exposure. The resistant strain exhibited distinct gene expression patterns, specifically, the activated genes associated with cell damage repair, lipid biosynthesis for the cell envelope, and ATP maintenance for energy production while it repressed genes that promote dormancy and virulence. Our findings suggest that the resistant strain is actively and metabolically adapts to the drug stress, rather than simply becoming dormant. We also found notable gene alterations in the other anti-tuberculosis drug targets, indicating possible cross resistance with pyrazinamide. Collectively, our findings provide insights into how genetic mutations alter the gene expression of resistant strains that adapt to survive drug exposure.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Rajendran, A., Refaya, A. K., Palaniyandi, K.. 2025-10-14. Deciphering the transcriptomic landscape of pyrazinamide resistance in Mycobacterium tuberculosis. https://doi.org/10.1101/2025.10.13.681998

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Preclinical Development of Enterobacter ludwigii LS57, a Human-Derived Swarming Strain, as a Live Biotherapeutic Product for Inflammatory Bowel Disease

Inflammatory Bowel Disease (IBD) remains an area of major unmet need, and the undefined composition and manufacturing burden of fecal microbiota transplantation have motivated a shift toward single-strain Live Biotherapeutic Products (LBPs). Swarming bacteria are enriched in the stressed gut and limit mucosal damage, but no human-derived swarming strain has been developed as an LBP. We therefore report the complete preclinical development of Enterobacter ludwigii LS57, a swarming strain isolated from human feces. Chemistry, Manufacturing and Controls (CMC) covered a three-tier cell bank, 30 L fed-batch fermentation and a colon-targeted enteric-coated capsule, enabling consistent pilot-scale production. No treatment-related findings emerged in safety pharmacology (Sprague-Dawley rats) or in single-dose and Good Laboratory Practice (GLP)-compliant 1-week repeat-dose toxicity studies (Sprague-Dawley rats and Beagle dogs). LS57 was identified as E. ludwigii by 16S rRNA and whole-genome sequencing and produced metabolites with reported anti-inflammatory activity in culture. In Dextran Sulfate Sodium (DSS)-induced colitis, LS57 reduced weight loss, preserved colon length, lowered colonic pro-inflammatory cytokines and remodeled the gut microbiota. It also attenuated Trinitrobenzene Sulfonic Acid (TNBS)-induced colitis and enhanced the effect of ciclosporin A. In vitro, LS57 was non-hemolytic, non-cytotoxic, and acid-labile, formed no biofilm, and its resistance to aminopenicillins, cephamycins and imipenem was not transferable by conjugation. In vivo, LS57 colonized the inflamed colon without translocation in wild-type and interleukin-10-deficient mice, and experimental bacteremia was treatable with gentamicin or levofloxacin. LS57 combines efficacy across two mechanistically distinct colitis models with a safety package that addresses the principal regulatory concerns for LBPs, and a scalable manufacturing process, compatible with current good manufacturing practice, in which enteric coating overcomes the strain's poor gastric survival. These data support clinical development of LS57 in IBD.

microbiology↗

Characterization of Lactobacillus rhamnosus-Derived Extracellular Vesicles and Their Cellular Cytoprotective Effects Against Trimethylamine-Induced Oxidative Stress in Caco-2 Cells

Dietary trimethylamine (TMA) underwent gut microbiota-mediated catabolism and subsequent hepatic oxidation to generate trimethylamine N-oxide (TMAO), a key metabolic factor linked to vascular and colorectal diseases. While the systemic effects of circulating TMAO were heavily investigated, the direct localized cellular interactions of its precursor, TMA, at the intestinal epithelial level required further elucidation. This study characterized extracellular vesicles isolated from Lactobacillus rhamnosus (Lr-EVs) and evaluated their cytoprotective potential in an in vitro human intestinal Caco-2 cell model under TMA-induced stress. Exposure to a high concentration of TMA (20 mM) significantly reduced Caco-2 viability to 78.8%, triggered intracellular reactive oxygen species (ROS) accumulation, and compromised tight junction integrity as observed via the disruption of Zonula Occludens-1 (ZO-1) alignment. Co-treatment with Lr-EVs (100-300 g/mL) counteracted this cellular toxicity, enhancing cell survival up to 172%. Quantitative PCR analysis revealed that Lr-EVs suppressed the transcriptional upregulation of the pro-inflammatory gene IL-1{beta}, restored the expression of the metabolic regulator SIRT1, and stabilized transcript levels of key mitochondrial-encoded electron transport chain genes (ND6, CYTB, CO1, and ATP6). Additionally, Lr-EVs exhibited intrinsic radical scavenging activities in cell-free ABTS and DPPH assays. These preliminary in vitro findings demonstrated that Lr-EVs mitigated TMA-induced cellular injury, oxidative stress, and junctional disruption at the transcriptomic level, supporting further investigation of probiotic-derived EVs as prospective cell-free functional ingredients.

microbiology↗

Metagenomic Insights into the Fecal Microbiome, Resistome, and Mobilome of Beef Cattle in Cow-Calf Operations in Florida, United States

Food-producing animals are a focus of One Health approaches to antimicrobial resistance (AMR) as reservoirs of antimicrobial-resistant bacteria (ARB) and antimicrobial resistance genes (ARGs). We hypothesized that microbial composition, ARGs profiles, and mobile genetic element (MGE) profiles would differ by operation size and animal age group. Fecal samples from 162 cows and calves were combined into 54 composite samples, each comprising three animals of the same age group. Across operation sizes, Bacillota (51.4-64.9%), Bacteroidota (12.0-17.3%), Pseudomonadota (10.3-16.5%), and Actinomycetota (3.3-10.9%) were predominant phyla. Alpha diversity did not differ among operation sizes; however, cows exhibited greater observed richness, Shannon diversity, and Simpson diversity than calves (all P < 0.001). Microbial composition did not differ significantly among operation sizes (PERMANOVA, R{superscript 2} = 0.065, P = 0.609) but differed significantly between cows and calves (R{superscript 2} = 0.200, P < 0.001). Seventy-five ARGs representing 14 resistance classes were identified. Normalized ARG hit rates were higher in small operations (0.444) than in medium (0.278) and large operations (0.222; P = 0.088), whereas calves exhibited a higher estimated marginal mean normalized ARG hit rate than cows (0.383 vs. 0.247 hits/million reads; P < 0.001). Of 1,054 curated ARG hits, 23.9% occurred on predicted plasmid contigs, 0.9% on predicted viral contigs, and 7.1% on contigs containing insertion sequences. Overall findings demonstrate differences in fecal microbiome diversity and ARG abundance between cows and calves and indicate that predicted plasmids are associated with a notable proportion of ARG hits in Florida beef cow-calf operations.

microbiology↗