Contributions of genetic and non-genetic sources to variation in cooperative behaviour in a cooperative mammal
Houslay, Thomas; Nielsen, Johanna; Clutton-Brock, Tim (2021), Contributions of genetic and non-genetic sources to variation in cooperative behaviour in a cooperative mammal, Dryad, Dataset, https://doi.org/10.5061/dryad.cfxpnvx68
The evolution of cooperative behaviour is a major area of research among evolutionary biologists and behavioural ecologists, yet there are few estimates of its heritability or of its evolutionary potential and long-term studies of identifiable individuals are required to disentangle genetic and non-genetic components of cooperative behaviour. Here we use long-term data on over 1800 individually recognisable wild meerkats (Suricata suricatta) collected over 30 years and a multi-generational genetic pedigree to partition phenotypic variation in three cooperative behaviours (babysitting, pup feeding and sentinel behaviour) into individual, additive genetic and other sources, and to assess their repeatability and heritability. In addition to strong effects of sex, age and dominance status, we found significant repeatability in individual contributions to all three types of cooperative behaviour both within and across breeding seasons. Like most other studies of the heritability of social behaviour, we found that the heritability of cooperative behaviour was low. However, our analysis suggests that a substantial component of the repeatable individual differences in cooperative behaviour that we observed was a consequence of additive genetic variation. Our results consequently indicate that cooperative behaviour can respond to selection, and suggest scope for further exploration of the genetic basis of social behaviour.
All information regarding collection and processing of data is included in the associated paper.
.csv files contain processed phenotypic data and individual/group-level information.
.rds files are for the R processing environment. Those beginning 'ainv' contain relatedness information for animal models. Those beginning 'mcmc' are stored MCMCglmm animal model runs.
.R files are scripts for reproducing analyses in the paper ('Houslay-Evo-reproducemodels.R') and for reproducing the estimation of non-Gaussian heritabilities including fixed effects variance ('Houslay-Evo-EstnonGaussherit.R').
H2020 European Research Council, Award: 294494
H2020 European Research Council, Award: 742808
Human Frontier Science Program, Award: RGP0051/2017