ArticleGenetics2007
Experimental estimate of the abundance and effects of nearly neutral mutations in the RNA virus phi 6.
Article in Genetics, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 36 citations in OpenAlex.
- Experimental Evolution Studies in Φ6 Cystovirus.Viruses · 2024Review
- Quantifying the Evolutionary Constraints and Potential of Hepatitis C Virus NS5A Protein.mSystems · 2021Article
- Uniparental Inheritance Promotes Adaptive Evolution in Cytoplasmic Genomes.Molecular biology and evolution · 2017Article
- The evolutionarily stable distribution of fitness effects.Genetics · 2015Article
- Quantifying the Determinants of Evolutionary Dynamics Leading to Drug Resistance.PLoS biology · 2015Article
- The fates of mutant lineages and the distribution of fitness effects of beneficial mutations in laboratory budding yeast populations.Genetics · 2014Article
- Dominance effects of deleterious and beneficial mutations in a single gene of the RNA virus ϕ6.PloS one · 2014Article
- Deconvolution estimation of mixture distributions with boundaries.Electronic journal of statistics · 2013Article
- The three faces of riboviral spontaneous mutation: spectrum, mode of genome replication, and mutation rate.PLoS genetics · 2012Article
- Tempo and mode of plant RNA virus escape from RNA interference-mediated resistance.Journal of virology · 2011Article
- Analysis and implications of mutational variation.Genetica · 2009Review
- Molecular evolution of a viral non-coding sequence under the selective pressure of amiRNA-mediated silencing.PLoS pathogens · 2009Article
- Quasi-species evolution in subdivided populations favours maximally deleterious mutations.Proceedings. Biological sciences · 2007Article
- Article
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 at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Although the frequency and effects of neutral and nearly neutral mutations are critical to evolutionary patterns and processes governed by genetic drift, the small effects of such mutations make them difficult to study empirically. Here we present the results of a mutation-accumulation experiment designed to assess the frequencies of deleterious mutations with undetectable effects. We promoted the accumulation of spontaneous mutations by subjecting independent lineages of the RNA virus 6 to repeated population bottlenecks of a single individual. We measured fitness following every bottleneck to obtain a complete picture of the timing and effects of the accumulated mutations with detectable effects and sequenced complete genomes to determine the number of mutations that were undetected by the fitness assays. To estimate the effects of the undetected mutations, we implemented a likelihood model developed for quantitative trait locus (QTL) data (Otto and Jones 2000) to estimate the number and effects of the undetected mutations from the measured number and effects of the detected mutations. Using this method we estimated a deleterious mutation rate of U = 0.03 and a gamma effects distribution with mean s=0.093 and coefficient of variation = 0.204. Although our estimates of U and s fall within the range of recent mutation rate and effect estimates in eukaryotes, the fraction of mutations with detectable effects on laboratory fitness (39%) appears to be far higher in 6 than in eukaryotes.
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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.