Levels of additive genetic variation vary substantially between species

This dataset contains all data, scripts, and model outputs used in the analyses for the manuscript “Levels of additive genetic variation vary substantially between species.” It includes raw evolvability (IA) and heritability (h²) estimates, phylogenetic and taxonomic information, predictor variables, and all R scripts used to run the interspecific variation models, predictor analyses, and bivariate models described in the paper.

The repository is organised into five main components:

00_input_data - Raw input files, including IA and h² estimates (QGV_data.csv), the phylogeny (Species_final.nwk), taxonomic information (Taxonomy.csv), and continuous/categorical predictor variables (Supplementary_Table_1.csv).

01_IA_interspecific_variation - Scripts and model outputs for the IA interspecific variation analyses, including full MCMCglmm model objects, taxonomic subset models, and CSV files underlying Figures 1, 2, S1–S5.

02_h2_interspecific_variation - Scripts and model outputs for the h² interspecific variation analyses, including full model objects, taxonomic subset models, and CSV files underlying Figures 3, S5–S6.

03_predictor_analysis_IA - Scripts and model outputs for continuous and categorical predictor analyses for IA, including all model RDS files and summary tables (Table 3).

04_predictor_analysis_h2 - Scripts and model outputs for predictor analyses for h², including all model RDS files and summary tables (Table 5).

05_bivariate_models - Scripts and model outputs for bivariate PGLMMs testing relationships between IA, h², and IR, including CSV files underlying Figures S7–S10.

All analyses were conducted in R using MCMCglmm and phylogenetic generalized linear mixed models (PGLMMs). A full README file describing the folder structure, scripts, and outputs is included in the upload.