ArticleeLife2020
Predictable properties of fitness landscapes induced by adaptational tradeoffs.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 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
38 citing papers in PubMed, 81 citations in OpenAlex.
- Review
- D-LIM: A neural network for interpretable gene-gene interactions.PLoS computational biology · 2026Article
- Evolutionary pathways in epistatic mechanical networks.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Linezolid and levofloxacin: an uncommon pairing that suppresses evolution of resistance inFEMS microbes · 2026Article
- Investigating the consequences of the mating system for drug resistance evolution inProceedings. Biological sciences · 2025Article
- Experimental mapping of bacterial fitness landscapes reveals eco-evolutionary fingerprints.Scientific reports · 2025Article
- Longitudinal sequencing reveals polygenic and epistatic nature of genomic response to selection.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Fitness seascapes are necessary for realistic modeling of the evolutionary response to drug therapy.Science advances · 2025Article
- Review
- Epistasis-mediated compensatory evolution in a fitness landscape with adaptational tradeoffs.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Epistatic hotspots organize antibody fitness landscape and boost evolvability.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- The highly rugged yet navigable regulatory landscape of the bacterial transcription factor TetR.Nature communications · 2024Article
- The many dimensions of combination therapy: How to combine antibiotics to limit resistance evolution.Evolutionary applications · 2024Article
- Rapid evolution of colistin resistance in a bioreactor model of infection of Klebsiella pneumoniae.Communications biology · 2024Article
- Unpredictability of the Fitness Effects of Antimicrobial Resistance Mutations Across Environments in Escherichia coli.Molecular biology and evolution · 2024Article
- A low-footprint, fluorescence-based bacterial time-kill assay for estimating dose-dependent cell death dynamics.bioRxiv : the preprint server for biology · 2024Article
- Diverse mutant selection windows shape spatial heterogeneity in evolving populations.PLoS computational biology · 2024Article
- The evolution of resistance to synergistic multi-drug combinations is more complex than evolving resistance to each individual drug component.Evolutionary applications · 2023Article
- Evolutionary "Crowdsourcing": Alignment of Fitness Landscapes Allows for Cross-species Adaptation of a Horizontally Transferred Gene.Molecular biology and evolution · 2023Article
- Evolutionary rescue on genotypic fitness landscapes.Journal of the Royal Society, Interface · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
Fitness effects of mutations depend on environmental parameters. For example, mutations that increase fitness of bacteria at high antibiotic concentration often decrease fitness in the absence of antibiotic, exemplifying a tradeoff between adaptation to environmental extremes. We develop a mathematical model for fitness landscapes generated by such tradeoffs, based on experiments that determine the antibiotic dose-response curves of
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Registered trials
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.