Data from: A hybrid phylogenetic–phylogenomic approach for species tree estimation in African Agama lizards with applications to biogeography, character evolution, and diversification

Africa is renowned for its biodiversity and endemicity, yet little is known about the factors shaping them across the continent. African Agama lizards (45 species) have a pan-continental distribution, making them an ideal model for investigating biogeography. Many species have evolved conspicuous sexually dimorphic traits, including extravagant breeding coloration in adult males, large adult male body sizes, and variability in social systems among colorful versus drab species. We present a comprehensive time-calibrated species tree for Agama, and their close relatives, using a hybrid phylogenetic-phylogenomic approach that combines traditional Sanger sequence data from five loci for 57 species (146 samples) with anchored phylogenomic data from 215 nuclear genes for 23 species. The Sanger data are analyzed using coalescent-based species tree inference using *BEAST, and the resulting posterior distribution of species trees is attenuated using the phylogenomic tree as a backbone constraint. The result is a time-calibrated species tree for Agama that includes 95% of all species, multiple samples for most species, strong support for the major clades, and strong support for most of the initial divergence events. Diversification within Agama began approximately 23 million years ago (Ma), and separate radiations in Southern, East, West, and Northern Africa have been diversifying for > 10 Myr. A suite of traits (morphological, coloration, and sociality) are tightly correlated and show a strong signal of high morphological disparity within clades, whereby the subsequent evolution of convergent phenotypes has accompanied diversification into new biogeographic areas

Hybrid Phylogeny

The final hybrid species tree for African Agama lizards (Newick format). The Sanger data (mtDNA and four nuclear genes) were used to estimate a time-calibrated species tree using *BEAST. This posterior distribution of species trees was then filtered using the anchored phylogenomics tree as a backbone constraint

Sanger Sequence Data

Mitochondrial and nuclear loci in nexus format, with data partitioning

Sequence Capture Loci

Sequence capture loci (a.k.a. anchored phylogenomics data). The data are in Nexus format (partitioned)

Sequence Capture Gene Trees

Maximum likelihood (ML) trees for each sequence capture gene used for species tree analyses. ML analyses were run with RAxML