ArticleNature communications2020
Dominant resistance and negative epistasis can limit the co-selection of de novo resistance mutations and antibiotic resistance genes.
Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Epistasis and co-adaptation in bacterial genome evolution.Nature reviews. Genetics · 2026Review
- Genome-wide identification of genetic determinants for gall midge resistance in rice using genic markers.Journal of applied genetics · 2026Article
- Evolutionary drivers of divergent collateral sensitivity responses during antibiotic therapy.Nature ecology & evolution · 2026Review
- Consequences of benzalkonium chloride tolerance for selection dynamics and de novo resistance evolution driven by antibiotics.npj antimicrobials and resistance · 2026Article
- Vacancy Engineered Zero-Valent Iron Steer Hydrogen Spillover toward Per- and Polychlorinated Organics Rapid Complete Dechlorination.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Selective silencing of antibiotic-tethered ribosomes as a resistance mechanism against aminoglycosides.Nature communications · 2025Article
- Antimicrobials in Livestock Farming and Resistance: Public Health Implications.Antibiotics (Basel, Switzerland) · 2025Review
- Coevolutionary history of predation constrains the evolvability of antibiotic resistance in prey bacteria.npj antimicrobials and resistance · 2025Article
- Integrating sequencing methods with machine learning for antimicrobial susceptibility testing in pediatric infections: current advances and future insights.Frontiers in microbiology · 2025Review
- Primed for Discovery.Biochemistry · 2024Review
- Environmental modulation of global epistasis in a drug resistance fitness landscape.Nature communications · 2023Article
- Machine learning and feature extraction for rapid antimicrobial resistance prediction ofFrontiers in microbiology · 2023Article
- The physiology and genetics of bacterial responses to antibiotic combinations.Nature reviews. Microbiology · 2022Review
- Article
- Mastering the control of the Rho transcription factor for biotechnological applications.Applied microbiology and biotechnology · 2021Review
- AAA: a rock and a hard place.British dental journal · 2021Article
- Integrating single-cobalt-site and electric field of boron nitride in dechlorination electrocatalysts by bioinspired design.Nature communications · 2021Article
- Knowledge and Awareness of Physicians About Rational Antibiotic Use and Antimicrobial Resistance Before and After Graduation: A Cross-Sectional Study Conducted in Malatya Province in Turkey.Infection and drug resistance · 2021Article
- Amino AcidBiology · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To tackle the global antibiotic resistance crisis, antibiotic resistance acquired either vertically by chromosomal mutations or horizontally through antibiotic resistance genes (ARGs) have been studied. Yet, little is known about the interactions between the two, which may impact the evolution of antibiotic resistance. Here, we develop a multiplexed barcoded approach to assess the fitness of 144 mutant-ARG combinations in Escherichia coli subjected to eight different antibiotics at 11 different concentrations. While most interactions are neutral, we identify significant interactions for 12% of the mutant-ARG combinations. The ability of most ARGs to confer high-level resistance at a low fitness cost shields the selective dynamics of mutants at low drug concentrations. Therefore, high-fitness mutants are often selected regardless of their resistance level. Finally, we identify strong negative epistasis between two unrelated resistance mechanisms: the tetA tetracycline resistance gene and loss-of-function nuo mutations involved in aminoglycoside tolerance. Our study highlights important constraints that may allow better prediction and control of antibiotic resistance evolution.
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