Evidence map›Paper›PMID 25002697›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2014

Evolutionary rates for multivariate traits: the role of selection and genetic variation.

William Pitchers, Jason B Wolf, Tom Tregenza, John Hunt, Ian Dworkin

Open access · bronzeAbstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
14.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 44 citations in OpenAlex.

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  12. Cliff-edge model of obstetric selection in humans.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  13. Article
  14. Article
  15. Integrated phenotypes: understanding trait covariation in plants and animals.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

William PitchersDepartment of Zoology, Program in Ecology Evolutionary Biology and Behavior, BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI 48824, USA College of Life and Environmental Sciences, Centre for Ecology and Conservation, University of Exeter, Tremough Campus, Penryn, Cornwall TR10 9EZ, UK.
Jason B WolfDepartment of Biology and Biochemistry, University of Bath, Claverton Down, Bath BA2 7AY, UK.
Tom TregenzaCollege of Life and Environmental Sciences, Centre for Ecology and Conservation, University of Exeter, Tremough Campus, Penryn, Cornwall TR10 9EZ, UK.
John HuntCollege of Life and Environmental Sciences, Centre for Ecology and Conservation, University of Exeter, Tremough Campus, Penryn, Cornwall TR10 9EZ, UK j.hunt@exeter.ac.uk.
Ian DworkinDepartment of Zoology, Program in Ecology Evolutionary Biology and Behavior, BEACON Center for the Study of Evolution in Action, Michigan State University, East Lansing, MI 48824, USA idworkin@msu.edu.
University of Exeter · GBMichigan State University · USUniversity of Bath · GB

Funding

Building, understanding and applying a dictionary of genetic effectsR01GM094424 · NIGMS · FLORIDA STATE UNIVERSITY · PI DWORKIN, IAN MICHAEL, HOULE, DAVID · 2010 to 2013
$1.6M
Biotechnology and Biological Sciences Research Council BB/C516936/1NIGMS NIH HHS 1R01GM094424
6 · The paper itself

Abstract

A fundamental question in evolutionary biology is the relative importance of selection and genetic architecture in determining evolutionary rates. Adaptive evolution can be described by the multivariate breeders' equation (Δz(-)=Gβ), which predicts evolutionary change for a suite of phenotypic traits (Δz(-)) as a product of directional selection acting on them (β) and the genetic variance-covariance matrix for those traits (G ). Despite being empirically challenging to estimate, there are enough published estimates of G and β to allow for synthesis of general patterns across species. We use published estimates to test the hypotheses that there are systematic differences in the rate of evolution among trait types, and that these differences are, in part, due to genetic architecture. We find some evidence that sexually selected traits exhibit faster rates of evolution compared with life-history or morphological traits. This difference does not appear to be related to stronger selection on sexually selected traits. Using numerous proposed approaches to quantifying the shape, size and structure of G, we examine how these parameters relate to one another, and how they vary among taxonomic and trait groupings. Despite considerable variation, they do not explain the observed differences in evolutionary rates.

Indexed as

Biological EvolutionGenetic VariationModels, BiologicalPhenotypeSelection, GeneticGenetics, PopulationSpecies Specificityconstraintevolutionary ratesevolvabilityG matrixnatural selectionquantitative genetics

Identifiers

PMID25002697
PMCPMC4084537
OpenAlexW2952828001

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.