Host oxidative stress primes mycobacteria for rapid antibiotic resistance evolution
Pepper-Tunick, E.; Srinivas, V.; Mast, F. D.; Li, S.; Russ, S.; Hanson, W.; Zamora, A. D.; Wu, W.-J.; Silcocks, M.; Ha, D. T. M.; Dunstan, S. J.; Thuong, T. N. T.; Turkarslan, S.; Aitchison, J. D.; Arrieta-Ortiz, M. L.; Baliga, N. S.
Show abstract
The rapid emergence of multidrug-resistant Mycobacterium tuberculosis (Mtb) threatens global TB control, yet the mechanisms enabling rapid evolution of drug resistance in Mtb remain poorly understood. Here we reveal that pre-existing mutations in oxidative stress response genes create permissive genomic backgrounds that accelerate high-level isoniazid resistance (INHR) without fitness costs, challenging the paradigm that resistance mutations always precede their fitness compensatory adaptations. Using M. smegmatis mc2155 (Msm) as a model, we show that brief exposure to sublethal INH (2x IC50) enriches for "low-level resistance and tolerance" (LLRT) mutants in a single step. These LLRT mutants, particularly those with ohrR loss-of-function mutations, acquire high-level resistance (> 500x IC50) at 6-fold higher rates than wildtype, primarily through otherwise-deleterious mycothiol biosynthesis mutations that become tolerable in the oxidative stress-buffered background. Crucially, we demonstrate that sublethal oxidative stress alone, mimicking host immune pressure, nearly tripled the rate of INH resistance evolution in Msm. Bayesian analysis of 1,578 clinical Mtb isolates from Vietnam confirmed that mutations in oxidative stress response genes were significantly associated with the emergence of INHR strains (p-value = 1.09x10-7). Independently, reanalysis of genome-wide CRISPRi screens revealed that the OSR network and high Bayes probability genes are functionally associated with treatment escape and survival with multiple antibiotics, including isoniazid, rifampicin, ethambutol, bedaquiline, vancomycin, clarithromycin, linezolid, and streptomycin. Our findings that host-imposed oxidative stress and inadequate drug penetration may synergistically prime Mtb populations for rapid resistance evolution suggest that targeting pre-resistance mechanisms, such as oxidative stress defenses, could help slow the emergence of antibiotic resistance in tuberculosis.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Cyclic AMP is a critical mediator of intrinsic drug resistance and fatty acid metabolism in M. tuberculosis 97%
- The mutational signatures of poor treatment outcomes on the drug-susceptible Mycobacterium tuberculosis genome 96%
- The mycobacterial mutasome: composition and recruitment in live cells 95%
Similar papers in this journal
- Origin and dynamics of Mycobacterium tuberculosis subpopulations that predictably generate drug tolerance and resistance 96%
- A large European diversity panel reveals complex azole fungicide resistance gains of a major wheat pathogen 94%
- Antifungal tolerance and resistance emerge at distinct drug concentrations and rely upon different aneuploid chromosomes 94%
Similar papers in this journal
- Loss of RNase J leads to multi-drug tolerance and accumulation of highly structured mRNA fragments in Mycobacterium tuberculosis 97%
- The acquisition of clinically relevant amoxicillin resistance in Streptococcus pneumoniae requires ordered horizontal gene transfer of four loci 95%
- Defined roles for the Staphylococcus aureus POT transporter DtpT in di/tripeptide uptake and glutathione utilisation inside human macrophages 94%
Similar papers in this journal
- A Superfamily of T6SS Antibacterial Effectors Displaying L,D-carboxypeptidase Activity Towards Peptidoglycan 93%
- Intricate genetic programs controlling dormancy in Mycobacterium tuberculosis 93%
- MAPS integrates overlooked regulation of actin-targeting effector SteC into the virulence control network of Salmonella small RNA PinT 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.