
In our previous work, the PhyPPL concept paper [1], we used the sequential Monte-Carlo algorithm in a probabilistic programming language framework to do a Bayes factor comparison for the diversification models CRBD, TDBD, BAMM, LSBDS (not shown, a weaker variation of BAMM), and the novel ClaDS on the 40 bird clades having more than 50 species, taken from https://birdtree.org/. We identified four patterns: ● Group 1 (small trees such as Alcedinidae): simple models are adequate (CRBD as good as the others); ● Group 2 (e.g. Muscicapidae-+): evidence for slowing down of diversification (TDBD outperforms others); ● Group 3 (e.g. Accipitridae): cladogenetic changes in diversification (ClaDS outperforms others); ● Group 4 (e.g. Anatinae): cladogenetic and punctuated anagenetic lineage-specific changes. (ClaDS and BAMM/ LSBDS best). We introduce two new models (AnaDS-GBM and AnaDS-GBM+LS) to investigate the effect of gradual and punctuated anagenetic changes in speciation rates. For this poster we tested AnaDS-GBM on one tree per group.
phylogenetics, diversification, geometric Brownian motion, bird evolution, probabilistic programming languages, C++
phylogenetics, diversification, geometric Brownian motion, bird evolution, probabilistic programming languages, C++
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