Published January 26, 2023 | Version v1
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Age-dependent genetic variation in aggression

  • 1. University of Alabama, Tuscaloosa

Description

Understanding the extent to which behavioural variance is underlain by genotypic, environmental and genotype-by-environment effects is important for predicting how behavioural traits might respond to selection and evolve. How behaviour varies both within and among individuals can change across ontogeny, leading to differences in the relative contribution of genetic and environmental effects to phenotypic variation across ages. We investigated among-individual and among-genotype variation in aggression across ontogeny by measuring, twice as juveniles and twice as adults, both approaches and attacks against a three-dimensional-printed model opponent in eight individuals from each of eight genotypes ( N = 64). Aggression was only significantly repeatable and heritable in juveniles. Additionally, how aggression changed between juvenile and adult life-history stages varied significantly among individuals and genotypes. These results suggest that juvenile aggression is likely to evolve more rapidly via natural selection than adult aggression and that the trajectory of behavioural change across the lifespan has the potential to evolve. Determining when genetic variation explains (or does not explain) behavioural variation can further our understanding of key life-history stages during which selection might drive the strongest or swiftest evolutionary response.

Notes

We used R studio (R version 3.4) to analyze the data. We used lmer from the R package lme4 to analyze our data with linear models. We used the rptGaussian function from the R package rptR to obtain heritability and repeatability. 

Funding provided by: Sigma Xia
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100011084
Award Number: G2018031596030532

Funding provided by: Sigma Xi
Award Number: G2018031596030532

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Additional details

Related works

Is cited by
10.1098/rsbl.2022.0456 (DOI)
Is source of
10.5061/dryad.k0p2ngfcd (DOI)