Evolutionary risk analysis of mutators for the development of nitrofurantoin resistance
Kettlewell, R.; Forsyth, J. H.; Gifford, D. R.
Show abstract
Antimicrobial resistance is a significant global health crisis, with many antibiotics losing effectiveness within a decade of their introduction. The antibiotic nitrofurantoin, however, counters this trend, as it has sustained low resistance rates despite prolonged and widespread use. A key factor behind nitrofurantoins success is that resistance requires two independent inactivating mutations in separate genes, nfsA and nfsB. However, this inherent safeguard may be undermined by elevated mutation rates, a risk that remains unquantified for this antibiotic. Here, we investigated how mutation rates influence nitrofurantoin resistance in Escherichia coli using experimental evolution with both low-level and high-level mutator strains, alongside genomic analyses of uropathogenic nitrofurantoin-resistant clinical isolates. Under experimental conditions, increasing mutation rates increased the development of nitrofurantoin resistnace. Moreover, changes in the mutations that occurred also shifted the spectrum of resistance mutations from broad-impact frameshifts and indels to specific amino acid substitutions in the proteins active sites. Of the nitrofurantoin-resistant clinical isolates we analysed, nearly 40% harboured disruptive variants in DNA replication fidelity and repair genes--a prevalence at the higher end of what is typically observed in uropathogenic E. coli. These findings indicate that elevated mutation rates pose a risk to the continued efficacy of nitrofurantoin, highlighting the need for increased monitoring of mutator-driven resistance.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Exploring the in-situ evolution of Nitrofurantoin resistance in clinically derived Uropathogenic Escherichia coli isolates. 94%
- Emergence of a cephalosporin reduced susceptible Neisseria gonorrhoeae clone between 2014-2019 in Amsterdam, the Netherlands, revealed by a genomic population analysis 93%
- Consideration of within-patient diversity highlights transmission pathways and antimicrobial resistance gene variability in vancomycin resistant Enterococcus faecium 93%
Similar papers in this journal
- Mechanisms involved in the active secretion of CTX-M-15 β-lactamase by pathogenic E. coli ST131 94%
- Evolution of β-lactam resistance causes fitness reductions and several cases of collateral sensitivities in the human pathogen Haemophilus influenzae 94%
- A large-scale comparison shows that genetic changes causing antibiotic resistance in experimentally evolved Pseudomonas aeruginosa predict those in naturally evolved bacteria 94%
Similar papers in this journal
- Prevalence of antimicrobial resistance phenotypes and genes in stable fly- and manure-derived bacterial isolates from clinically relevant taxa in dairy settings 95%
- Predicting clinical phage therapy outcomes in vitro: results using mixed versus single isolates from an MRSA case study 92%
- An evaluation of screening methods for the detection of extended-spectrum beta-lactamase-producing Escherichia coli and Klebsiella pneumoniae in environmental samples from healthcare settings 90%
Similar papers in this journal
- Presence of the Hmq system and production of 4-hydroxy-3-methyl-2-alkylquinolines is heterogeneously distributed between Burkholderia cepacia complex species and more prevalent among environmental than clinical isolates 94%
- Mutations in ampD cause hyperproduction of AmpC and CphA beta-lactamases and high resistance to beta-lactam antibiotics in Chromobacterium violaceum 94%
- Selective pressure by rifampicin modulates mutation rates and evolutionary trajectories of mycobacterial genomes 93%
"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.