ReviewGenomics2014
The spectrum of adaptive mutations in experimental evolution.
Review in Genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
47 citing papers in PubMed.
- The shape of fitness functions and the distribution of mutational effect sizes jointly limit adaptation by regulatory mutations.Nature ecology & evolution · 2026Article
- Epistatic impacts of cis- and trans-regulatory mutations on the distribution of mutational effects for gene expression in Saccharomyces cerevisiae.Molecular biology and evolution · 2026Article
- Enhanced methanol tolerance and utilization in Pichia pastoris revealed by adaptive laboratory evolution.Journal of biological engineering · 2025Article
- Understanding, inhibiting, and engineering membrane transporters with high-throughput mutational screens.Cell chemical biology · 2025Review
- Unlocking the potential of experimental evolution to study drug resistance in pathogenic fungi.npj antimicrobials and resistance · 2024Review
- yEvo: A modular eukaryotic genetics and evolution research experience for high school students.Ecology and evolution · 2024Article
- Microbial volatiles mediate bacterial evolutionary dynamics.The ISME journal · 2023Article
- Article
- Quantitative systems-based prediction of antimicrobial resistance evolution.NPJ systems biology and applications · 2023Review
- Article
- Analysis of the evolution of resistance to multiple antibiotics enables prediction of the Escherichia coli phenotype-based fitness landscape.PLoS biology · 2022Article
- Selection in a growing colony biases results of mutation accumulation experiments.Scientific reports · 2022Article
- Mesostats-A multiplexed, low-cost, do-it-yourself continuous culturing system for experimental evolution of mesocosms.PloS one · 2022Article
- Non-genetic and genetic rewiring underlie adaptation to hypomorphic alleles of an essential gene.The EMBO journal · 2021Article
- Setting the stage for evolution of a new enzyme.Current opinion in structural biology · 2021Review
- Intra-Population Competition during Adaptation to Increased Temperature in an RNA Bacteriophage.International journal of molecular sciences · 2021Article
- Community composition of microbial microcosms follows simple assembly rules at evolutionary timescales.Nature communications · 2021Article
- Clinically relevant mutations in core metabolic genes confer antibiotic resistance.Science (New York, N.Y.) · 2021Article
- Evolutionary dynamics and structural consequences of de novo beneficial mutations and mutant lineages arising in a constant environment.BMC biology · 2021Article
- Methods for measuring the evolutionary stability of engineered genomes to improve their longevity.Synthetic biology (Oxford, England) · 2021Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
A primary goal of recent work in experimental evolution is to probe the molecular basis of adaptation. This requires an understanding of the individual mutations in evolving populations: their identity, their physiological and fitness effects, and the interactions between them. The combination of high-throughput methods for laboratory evolution and next-generation sequencing methods now makes it possible to identify and quantify mutations in hundreds of replicate populations over thousands of generations, and to directly measure fitness effects and epistatic interactions. Many laboratories are now leveraging these tools to study the molecular basis of adaptation and the reproducibility of evolutionary outcomes across a variety of model systems. Genetic analyses on evolved populations are shedding light on the statistics of epistasis between evolved mutations. Here we review the current understanding of the spectrum of mutations observed across these systems, with a focus on epistatic interactions between beneficial mutations and constraints on evolutionary outcomes. We emphasize evolution in asexual microbes, where next generation sequencing methods have been widely applied.
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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.