Title: New Methods of Species Tree Inference Under the Multispecies Coalescent
Abstract: The inference of the evolutionary relationships between species is a central question in biology. This inference is difficult to perform as the abundance of data and high dimensionality of the problem lead to long computational times. We have developed a new fast and accurate algorithm for inference in the presence of incomplete lineage sorting (ILS), commonly modeled by the multispecies coalescent. This work builds upon Chifman and Kubatko (2015), who derived the likelihood of a four-taxon species tree under the coalescent process. We use Bayes’s Rule to derive posterior probabilities of four-taxon species trees, and use them in supertree assembly algorithms to estimate the final n-taxon tree. We show results for both simulated data and real data.
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Video: https://osu.box.com/s/sewq3i12iajl0i2398a9ovalw210hkda