ReviewCold Spring Harbor symposia on quantitative biology2009
Measuring natural selection on genotypes and phenotypes in the wild.
Review in Cold Spring Harbor symposia on quantitative biology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 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
28 citing papers in PubMed, 71 citations in OpenAlex.
- Fine-scale spatial variation in eastern grey squirrel melanism across a complex urban landscape.The Journal of animal ecology · 2026Article
- Detecting Positive Selection by Modeling Structure Within Images of Genetic Variation.Genome biology and evolution · 2026Article
- Article
- Eradication efforts catalyze rapid evolution in an invasive predatory fish.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Natural and sexual selection and functional roles influence colouration but not the amount of variation in butterfly wing colour patterns.BMC ecology and evolution · 2025Article
- Evolutionary adaptation under climate change:Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Article
- Evolutionary adaptation under climate change:bioRxiv : the preprint server for biology · 2024Article
- Operationalizing cultural adaptation to climate change: contemporary examples from United States agriculture.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Article
- Rural selection drives the evolution of an urban-rural cline in coat color in gray squirrels.Ecology and evolution · 2023Article
- Moving past the challenges and misconceptions in urban adaptation research.Ecology and evolution · 2022Article
- Avian Introgression Patterns are Consistent With Haldane's Rule.The Journal of heredity · 2022Review
- Experimental evolution of a more restrained clutch size when filial cannibalism is prevented in burying beetlesEcology and evolution · 2022Article
- Fitness maps to a large-effect locus in introduced stickleback populations.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Genomic insights into historical population dynamics, local adaptation, and climate change vulnerability of the East Asian Tertiary relictEvolutionary applications · 2020Article
- Selective sweeps on novel and introgressed variation shape mimicry loci in a butterfly adaptive radiation.PLoS biology · 2020Article
- Dynamic Evolution of Antimicrobial Peptides Underscores Trade-Offs Between Immunity and Ecological Fitness.Frontiers in immunology · 2019Article
- Fine-scale geographic patterns of gene flow and reproductive character displacement in Drosophila subquinaria and Drosophila recens.Molecular ecology · 2018Article
- Viral Fitness Correlates with the Magnitude and Direction of the Perturbation Induced in the Host's Transcriptome: The Tobacco Etch Potyvirus-Tobacco Case Study.Molecular biology and evolution · 2018Article
- The Evolutionary History of Nebraska Deer Mice: Local Adaptation in the Face of Strong Gene Flow.Molecular biology and evolution · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
A complete understanding of the role of natural selection in driving evolutionary change requires accurate estimates of the strength of selection acting in the wild. Accordingly, several approaches using a variety of data-including patterns of DNA variability, spatial and temporal changes in allele frequencies, and fitness estimates-have been developed to identify and quantify selection on both genotypes and phenotypes. Here, we review these approaches, drawing on both recent and classic examples to illustrate their utility and limitations. We then argue that by combining estimates of selection at multiple levels-from individual mutations to phenotypes-and at multiple timescales-from ecological to evolutionary-with experiments that demonstrate why traits are under selection, we can gain a much more complete picture of the adaptive process.
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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.