Exploring the macroevolutionary signature of asymmetric inheritance at speciation

Popular comparative phylogenetic models such as Brownian Motion, Ornstein-Ulhenbeck, and their extensions, assume that, at speciation, a trait value is inherited identically by two descendant species. This assumption contrasts with models of speciation at a micro-evolutionary scale where descendants’ phenotypic distributions are sub-samples of the ancestral distribution. Different speciation mechanisms can lead to a displacement of the ancestral phenotypic mean among descendants and an asymmetric inheritance of the ancestral phenotypic variance. In contrast, even macro-evolutionary models that account for intraspecific variance assume symmetrically conserved inheritance of ancestral phenotypic distribution at speciation. Here we develop an Asymmetric Brownian Motion model (ABM) that relaxes the assumption of symmetric and conserved inheritance of the ancestral distribution at the time of speciation. The ABM jointly models the evolution of both intra- and inter-specific phenotypic variat..., , , # Exploring the macroevolutionary signature of asymmetric inheritance at speciation

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This dataset contains what is needed to reproduce the application of the ABM model on the Coerebinae dataset.

## Description of the Data and file structure

Data/Coerebinae.csv: Trait dataset in a .csv format. This file contains individual measurements of 4 beak traits as well as information about the measured individual (Species name, specimen ring number, sex, and whether the individual was a juvenile or not). Bill total culmen (cm) refers to the length of the upper part of the beak from the tip to the skull. Bill nares (cm) refers to the length of the upper part of the beak from the tip to the nares. Bill width (cm) refers to the width of the upper part of the beak at the nares. Bill depth (cm) refers to the height of the beak at the nares. Missing data is marked as NA.

Data/Coerebinae.tre. Phylogenetic tree file in Newick format with branch lengths representing divergence time in my.

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