ArticleBiology letters2011
On measuring selection in experimental evolution.
Article in Biology letters, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers, 1 of them a synthesis that pooled it.
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.
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Who cites it
89 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evolution of thermal performance curves: A meta-analysis of selection experiments.Journal of evolutionary biology · 2023Pooled it
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- Sequential gene loss promotes expansion of monophasic Salmonella Typhimurium ST34.Nature microbiology · 2026Article
- The shape of fitness functions and the distribution of mutational effect sizes jointly limit adaptation by regulatory mutations.Nature ecology & evolution · 2026Article
- Effect of cellular nutrient economy on the evolution of genome size in phytoplankton.Science advances · 2026Article
- Dispersal, adaptation and persistence of H5N1 in the sub-Antarctic and Antarctica.bioRxiv : the preprint server for biology · 2026Article
- A recurrent adaptive mutation in the transmembrane 2B protein of an insect picorna-like virus in a nonnative host.Journal of virology · 2026Article
- Review
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- Resolving discrepancies between chimeric and multiplicative measures of higher-order epistasis.Nature communications · 2025Article
- The evolution of antibiotic resistance in Europe, 1998-2019.PLoS pathogens · 2025Article
- Quantifying Competitive Fitness in Yeast with High-Throughput Fluorescence Microscopy Imaging.Current protocols · 2025Article
- Quantifying the strength of viral fitness trade-offs between hosts: a meta-analysis of pleiotropic fitness effects.Evolution letters · 2024Article
- Linking selection to demography in experimental evolution of active death in a unicellular organism.Proceedings. Biological sciences · 2024Article
- Emergence and maintenance of stable coexistence during a long-term multicellular evolution experiment.Nature ecology & evolution · 2024Article
- Ancient and recent origins of shared polymorphisms in yeast.Nature ecology & evolution · 2024Article
- Fluctuating selection facilitates the discovery of broadly effective but difficult to reach adaptive outcomes in yeast.Evolution letters · 2024Article
- Measuring differential fitness costs and interactions between genetic cassettes using fluorescent spectrophotometry.Applied and environmental microbiology · 2024Article
- Changing fitness effects of mutations through long-term bacterial evolution.Science (New York, N.Y.) · 2024Article
- Evolutionary "Crowdsourcing": Alignment of Fitness Landscapes Allows for Cross-species Adaptation of a Horizontally Transferred Gene.Molecular biology and evolution · 2023Article
29 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Distributions of mutation fitness effects from evolution experiments are available in an increasing number of species, opening the way for a vast array of applications in evolutionary biology. However, comparison of estimated distributions among studies is hampered by inconsistencies in the definitions of fitness effects and selection coefficients. In particular, the use of ratios of Malthusian growth rates as 'relative fitnesses' leads to wrong inference of the strength of selection. Scaling Malthusian fitness by the generation time may help overcome this shortcoming, and allow accurate comparison of selection coefficients across species. For species reproducing by binary fission (neglecting cellular death), ln2 can be used as a correction factor, but in general, the growth rate and generation time of the wild-type should be provided in studies reporting distribution of mutation fitness effects. I also discuss how density and frequency dependence of population growth affect selection and its measurement in evolution experiments.
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