ReviewEvolutionary applications2015
Costs of antibiotic resistance - separating trait effects and selective effects.
Review in Evolutionary applications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
24 citing papers in PubMed.
- Higher Purity of Phosphatidylserine Improves Human Cortical Neuron Function by Modulating SIRT1-PGC-1α Pathways.Brain sciences · 2026Article
- Ecology-based approach to predict no-effect antibiotic concentrations for minimizing environmental selection of resistance.The ISME journal · 2025Article
- The emergence of nonlinear evolutionary trade-offs and the maintenance of genetic polymorphisms.Biology letters · 2024Article
- The Emergence of Non-Linear Evolutionary Trade-offs and the Maintenance of Genetic Polymorphisms.bioRxiv : the preprint server for biology · 2024Article
- Costs of antibiotic resistance genes depend on host strain and environment and can influence community composition.Proceedings. Biological sciences · 2024Article
- Modulation of Virulence Gene Expression in Salmonella enterica subsp. enterica typhimurium by Synthetic Milk-Derived Peptides.Probiotics and antimicrobial proteins · 2022Article
- Collateral Sensitivity Interactions between Antibiotics Depend on Local Abiotic Conditions.mSystems · 2021Article
- Nanopore-based metagenomics analysis reveals prevalence of mobile antibiotic and heavy metal resistome in wastewater.Ecotoxicology (London, England) · 2021Article
- Using ecological coexistence theory to understand antibiotic resistance and microbial competition.Nature ecology & evolution · 2021Review
- Strong Environment-Genotype Interactions Determine the Fitness Costs of Antibiotic ResistanceAntimicrobial agents and chemotherapy · 2020Article
- Dysbiosis individualizes the fitness effect of antibiotic resistance in the mammalian gut.Nature ecology & evolution · 2020Article
- Evolution of drug-resistant and virulent small colonies in phenotypically diverse populations of the human fungal pathogenProceedings. Biological sciences · 2020Article
- Cross-resistance of the pathogenic fungus Alternaria alternata to fungicides with different modes of action.BMC microbiology · 2019Article
- Metal impacts on the persistence and proliferation of β-lactam resistance genes in Xiangjiang River, China.Environmental science and pollution research international · 2019Article
- Urban metagenomics uncover antibiotic resistance reservoirs in coastal beach and sewage waters.Microbiome · 2019Article
- On-Chip Isoniazid Exposure ofMicromachines · 2018Article
- Evolution of bacteria specialization along an antibiotic dose gradient.Evolution letters · 2018Article
- Slow and temperature-mediated pathogen adaptation to a nonspecific fungicide in agricultural ecosystem.Evolutionary applications · 2018Article
- The impact of within-host ecology on the fitness of a drug-resistant parasite.Evolution, medicine, and public health · 2018Article
- Persistence of a sugar-rejecting cockroach genotype under various dietary regimes.Scientific reports · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antibiotic resistance can impair bacterial growth or competitive ability in the absence of antibiotics, frequently referred to as a 'cost' of resistance. Theory and experiments emphasize the importance of such effects for the distribution of resistance in pathogenic populations. However, recent work shows that costs of resistance are highly variable depending on environmental factors such as nutrient supply and population structure, as well as genetic factors including the mechanism of resistance and genetic background. Here, we suggest that such variation can be better understood by distinguishing between the effects of resistance mechanisms on individual traits such as growth rate or yield ('trait effects') and effects on genotype frequencies over time ('selective effects'). We first give a brief overview of the biological basis of costs of resistance and how trait effects may translate to selective effects in different environmental conditions. We then review empirical evidence of genetic and environmental variation of both types of effects and how such variation may be understood by combining molecular microbiological information with concepts from evolution and ecology. Ultimately, disentangling different types of costs may permit the identification of interventions that maximize the cost of resistance and therefore accelerate its decline.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.