bioRxivBioinformaticsPreprint
On the correctness of gene tree tagging under a unified model of gene duplication, loss, and coalescence
Rachel A. ParsonsiD, Yunzhuo Liu, Parth Dua, Alexey MarkiniD, Erin K. MolloyiD
Abstract
AO_SCPLOWBSTRACTC_SCPLOWASTRAL-pro is the leading method for reconstructing species trees under complex evolutionary scenarios involving gene duplication, loss, and coalescence, commonly modeled by DLCoal. A unique aspect of A-pro is that it utilizes rooted gene trees, with internal vertices labeled as duplications or speciations, to modify its objective function compared to the traditional ASTRAL method. Although there is a natural event-based definition of correct tagging when genes evolve with only gene duplications and losses, it cannot be applied when there is deep coalescence. Here, we introduce a definition of correct tagging that is broadly applicable, proposing that a gene tree vertex is correctly tagged as a duplication if it is the most recent common ancestor of at least one pair of gene copies related via a duplication event. Using this definition, we study some statistical properties of ASTRAL-pros objective function under the DLCoal model and evaluate the accuracy of ASTRAL-pros tagging algorithm in simulations.
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