ArticleJournal of evolutionary biology2013
The effect of spontaneous mutations on competitive ability.
Article in Journal of evolutionary biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
13 citing papers in PubMed, 28 citations in OpenAlex.
- Exploring the ALS Multistep Model.Brain sciences · 2026Review
- Evolutionary Insights from a Large-Scale Survey of Population-Genomic Variation.Molecular biology and evolution · 2023Article
- Evolutionary Insights from a Large-scale Survey of Population-genomic Variation.bioRxiv : the preprint server for biology · 2023Article
- Are mutations usually deleterious? A perspective on the fitness effects of mutation accumulation.Evolutionary ecology · 2022Article
- Fitness effects of spontaneous mutations in a warming world.Evolution; international journal of organic evolution · 2021Article
- Increase in viability due to the accumulation of X chromosome mutations in Drosophila melanogaster males.Genetica · 2018Article
- Quantifying natural seasonal variation in mutation parameters with mutation accumulation lines.Ecology and evolution · 2018Article
- The Fitness Effects of Spontaneous Mutations Nearly Unseen by Selection in a Bacterium with Multiple Chromosomes.Genetics · 2016Article
- Fitness Effects of Spontaneous Mutations in Picoeukaryotic Marine Green Algae.G3 (Bethesda, Md.) · 2016Article
- Accelerating Mutational Load Is Not Due to Synergistic Epistasis or Mutator Alleles in Mutation Accumulation Lines of Yeast.Genetics · 2016Article
- Spontaneous mutation accumulation in multiple strains of the green alga, Chlamydomonas reinhardtii.Evolution; international journal of organic evolution · 2014Article
- Article
- Genomic background and generation time influence deleterious mutation rates in Daphnia.Genetics · 2013Article
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 4 institutions in 2 countries.
Funding
Abstract
Understanding the impact of spontaneous mutations on fitness has many theoretical and practical applications in biology. Although mutational effects on individual morphological or life-history characters have been measured in several classic genetic model systems, there are few estimates of the rate of decline due to mutation for complex fitness traits. Here, we estimate the effects of mutation on competitive ability, an important complex fitness trait, in a model system for ecological and evolutionary genomics, Daphnia. Competition assays were performed to compare fitness between mutation-accumulation (MA) lines and control lines from eight different genotypes from two populations of Daphnia pulicaria after 30 and 65 generations of mutation accumulation. Our results show a fitness decline among MA lines relative to controls as expected, but highlight the influence of genomic background on this effect. In addition, in some assays, MA lines outperform controls providing insight into the frequency of 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.