Evidence map›Paper›PMID 26582016›Full record

ArticleProceedings. Biological sciences2015

Evolution of the additive genetic variance-covariance matrix under continuous directional selection on a complex behavioural phenotype.

Vincent Careau, Matthew E Wolak, Patrick A Carter, Theodore Garland

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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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

4 authors.

Vincent CareauCanada Research Chair in Functional Ecology, Department of Biology, University of Ottawa, Ottawa, Ontario, Canada vcareau@uottawa.ca.
Matthew E WolakSchool of Biological Sciences, University of Aberdeen, Aberdeen, UK.
Patrick A CarterSchool of Biological Sciences, Washington State University, Pullman, WA, USA.
Theodore GarlandDepartment of Biology, University of California, Riverside, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given the pace at which human-induced environmental changes occur, a pressing challenge is to determine the speed with which selection can drive evolutionary change. A key determinant of adaptive response to multivariate phenotypic selection is the additive genetic variance-covariance matrix ( G: ). Yet knowledge of G: in a population experiencing new or altered selection is not sufficient to predict selection response because G: itself evolves in ways that are poorly understood. We experimentally evaluated changes in G: when closely related behavioural traits experience continuous directional selection. We applied the genetic covariance tensor approach to a large dataset (n = 17 328 individuals) from a replicated, 31-generation artificial selection experiment that bred mice for voluntary wheel running on days 5 and 6 of a 6-day test. Selection on this subset of G: induced proportional changes across the matrix for all 6 days of running behaviour within the first four generations. The changes in G: induced by selection resulted in a fourfold slower-than-predicted rate of response to selection. Thus, selection exacerbated constraints within G: and limited future adaptive response, a phenomenon that could have profound consequences for populations facing rapid environmental change.

Indexed as

Behavior, AnimalGenetic VariationMotor ActivitySelection, GeneticAnalysis of VarianceAnimalsBiological EvolutionFemaleMaleMiceMice, Inbred ICRModels, GeneticBulmer effectexperimental evolutiongenetic covariance tensorG-matrixselection limitwheel running

Identifiers

PMID26582016
PMCPMC4685799

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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.