ArticleGenetics2014
The fates of mutant lineages and the distribution of fitness effects of beneficial mutations in laboratory budding yeast populations.
Article in Genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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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.
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Who cites it
30 citing papers in PubMed.
- Linkage-aware inference of fitness from short-read time-series genomic data.bioRxiv : the preprint server for biology · 2026Article
- Linkage-aware inference of fitness from short-read time-series genomic data.Virus evolution · 2026Article
- Evolution of evolvability in rapidly adapting populations.Nature ecology & evolution · 2024Article
- Mutations in yeast are deleterious on average regardless of the degree of adaptation to the testing environment.Proceedings. Biological sciences · 2024Article
- A dynamical limit to evolutionary adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Genetic Architecture of Flowering Time Differs Between Populations With Contrasting Demographic and Selective Histories.Molecular biology and evolution · 2023Article
- A dynamical limit to evolutionary adaptation.bioRxiv : the preprint server for biology · 2023Article
- Hybrid fitness effects modify fixation probabilities of introgressed alleles.G3 (Bethesda, Md.) · 2022Article
- Stochastic establishment of β-lactam-resistantProceedings. Biological sciences · 2022Article
- Exploring a Local Genetic Interaction Network Using Evolutionary Replay Experiments.Molecular biology and evolution · 2021Article
- Molecular Origins of Complex Heritability in Natural Genotype-to-Phenotype Relationships.Cell systems · 2019Article
- Mathematical modeling of movement on fitness landscapes.BMC systems biology · 2019Article
- Experimental Design, Population Dynamics, and Diversity in Microbial Experimental Evolution.Microbiology and molecular biology reviews : MMBR · 2018Review
- Experimental Studies of Evolutionary Dynamics in Microbes.Trends in genetics : TIG · 2018Review
- Adaptive genome duplication affects patterns of molecular evolution in Saccharomyces cerevisiae.PLoS genetics · 2018Article
- Sign of selection on mutation rate modifiers depends on population size.Proceedings of the National Academy of Sciences of the United States of America · 2018Article
- The Influence of Polyploidy on the Evolution of Yeast Grown in a Sub-Optimal Carbon Source.Molecular biology and evolution · 2017Article
- Parallel reorganization of protein function in the spindle checkpoint pathway through evolutionary paths in the fitness landscape that appear neutral in laboratory experiments.PLoS genetics · 2017Article
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Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The outcomes of evolution are determined by which mutations occur and fix. In rapidly adapting microbial populations, this process is particularly hard to predict because lineages with different beneficial mutations often spread simultaneously and interfere with one another's fixation. Hence to predict the fate of any individual variant, we must know the rate at which new mutations create competing lineages of higher fitness. Here, we directly measured the effect of this interference on the fates of specific adaptive variants in laboratory Saccharomyces cerevisiae populations and used these measurements to infer the distribution of fitness effects of new beneficial mutations. To do so, we seeded marked lineages with different fitness advantages into replicate populations and tracked their subsequent frequencies for hundreds of generations. Our results illustrate the transition between strongly advantageous lineages that decisively sweep to fixation and more moderately advantageous lineages that are often outcompeted by new mutations arising during the course of the experiment. We developed an approximate likelihood framework to compare our data to simulations and found that the effects of these competing beneficial mutations were best approximated by an exponential distribution, rather than one with a single effect size. We then used this inferred distribution of fitness effects to predict the rate of adaptation in a set of independent control populations. Finally, we discuss how our experimental design can serve as a screen for rare, large-effect beneficial mutations.
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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.