Data from: Quality and quantity of genetic relatedness data affect the analysis of social structure
Foroughirad, Vivienne, Duke University
Levengood, Alexis, University of the Sunshine Coast
Mann, Janet, Georgetown University
Frère, Celine H., University of the Sunshine Coast
Published Apr 19, 2019 on Dryad.
Cite this dataset
Foroughirad, Vivienne; Levengood, Alexis; Mann, Janet; Frère, Celine H. (2019). Data from: Quality and quantity of genetic relatedness data affect the analysis of social structure [Dataset]. Dryad. https://doi.org/10.5061/dryad.rq2dg6m
Kinship plays a fundamental role in the evolution of social systems and is considered a key driver of group living. To understand the role of kinship in the formation and maintenance of social bonds, accurate measures of genetic relatedness are critical. Genotype-by-sequencing technologies are rapidly advancing the accuracy and precision of genetic relatedness estimates for wild populations. The ability to assign kinship from genetic data varies depending on a species’ or population’s mating system and pattern of dispersal, and empirical data from longitudinal studies are crucial to validate these methods. We use data from a long-term behavioral study of a polygynandrous, bisexually philopatric marine mammal to measure accuracy and precision of parentage and genetic relatedness estimation against a known partial pedigree. We show that with moderate but obtainable sample sizes of approximately 4235 SNPs and 272 individuals, highly accurate parentage assignments and genetic relatedness coefficients can be obtained. Additionally, we subsample our data to quantify how data availability affects relatedness estimation and kinship assignment. Lastly, we conduct a social network analysis to investigate the extent to which accuracy and precision of relatedness estimation improve statistical power to detect an effect of relatedness on social structure. Our results provide practical guidance for minimum sample sizes and sequencing depth for future studies, as well as thresholds for post hoc interpretation of previous analyses.
Genotypes for 272 individual Tursiops aduncus at 4235 loci
Genotypes simulated using the program Conancestry (Wang 2011) for 100 pairs at each of 6 levels of relatedness. Allele frequencies and genotyping error are set to match those found in the real dolphin genotype data in the study.
All pairwise variables included in the social network model: the association strength (simple ratio index), the total number of sightings of both individuals, home range overlap (volume of intersection), age difference in years, and the sexes of the pair