ArticleJournal of evolutionary biology2012
The effects of stochastic and episodic movement of the optimum on the evolution of the G-matrix and the response of the trait mean to selection.
Article in Journal of evolutionary biology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Rules of teeth development align microevolution with macroevolution in extant and extinct primates.Nature ecology & evolution · 2023Article
- Decomposing phenotypic skew and its effects on the predicted response to strong selection.Nature ecology & evolution · 2022Article
- On the importance of evolving phenotype distributions on evolutionary diversification.PLoS computational biology · 2021Article
- How does the strength of selection influence genetic correlations?Evolution letters · 2020Article
- Eco-Evolutionary Feedbacks and the Maintenance of Metacommunity Diversity in a Changing Environment.Genes · 2020Article
- Antagonistic selection and pleiotropy constrain the evolution of plant chemical defenses.Evolution; international journal of organic evolution · 2019Article
- Directional Selection Rather Than Functional Constraints Can Shape the G Matrix in Rapidly Adapting Asexuals.Genetics · 2019Article
- The G-matrix Simulator Family: Software for Research and Teaching.The Journal of heredity · 2018Article
- Rethinking Living Fossils.Bioscience · 2018Article
- Adaptive radiation along a deeply conserved genetic line of least resistance inEvolution letters · 2018Article
- Selection on skewed characters and the paradox of stasis.Evolution; international journal of organic evolution · 2017Article
- Modularity: genes, development and evolution.Annual review of ecology, evolution, and systematics · 2016Article
- Catch Me if You Can: Adaptation from Standing Genetic Variation to a Moving Phenotypic Optimum.Genetics · 2015Article
- Effect of diet on the structure of animal personality.Frontiers in zoology · 2015Review
- Fisher's geometric model with a moving optimum.Evolution; international journal of organic evolution · 2014Article
- Genetic regulatory network motifs constrain adaptation through curvature in the landscape of mutational (co)variance.Evolution; international journal of organic evolution · 2014Article
- The evolution of multivariate maternal effects.PLoS computational biology · 2014Article
- Genomics and the origin of species.Nature reviews. Genetics · 2014Review
- Rapid evolution of quantitative traits: theoretical perspectives.Evolutionary applications · 2014Article
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.
Funding
Abstract
Theoretical and empirical results demonstrate that the G-matrix, which summarizes additive genetic variances and covariances of quantitative traits, changes over time. Such evolution and fluctuation of the G-matrix could potentially have wide-ranging effects on phenotypic evolution. Nevertheless, no studies have yet addressed G-matrix stability and evolution when movement of an intermediate optimum includes large, episodic jumps or stochasticity. Here, we investigate such scenarios by using simulation-based models of G-matrix evolution. These analyses yield four important insights regarding the evolution and stability of the G-matrix. (i) Regardless of the model of peak movement, a moving optimum causes the G-matrix to orient towards the direction of net peak movement, so that genetic variance is enhanced in that direction (the variance enhancement effect). (ii) Peak movement skews the distribution of breeding values in the direction of movement, which impedes the response to selection. (iii) The stability of the G-matrix is affected by the overall magnitude and direction of peak movement, but modes and rates of peak movement have surprisingly small effects (the invariance principle). (iv) Both episodic and stochastic peak movement increase the probability that a population will fall below its carrying capacity and go extinct. We also present novel equations for the response of the trait mean to multivariate selection, which take into account the higher moments of the distribution of breeding values.
Indexed as
Identifiers
What OpenQuestion holds
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.