Feb 23, 2016

Bayesian Inference of the Evolution of a Phenotype Distribution on a Phylogenetic Tree

BioRxiv : the Preprint Server for Biology
M Azim Ansari, Xavier Didelot

Abstract

The distribution of a phenotype on a phylogenetic tree is often a quantity of interest. Many phenotypes have imperfect heritability, so that a measurement of the phenotype for an individual can be thought of as a single realisation from the phenotype distribution of that individual. If all individuals in a phylogeny had the same phenotype distribution, measured phenotypes would be randomly distributed on the tree leaves. This is however often not the case, implying that the phenotype distribution evolves over time. Here we propose a new model based on this principle of evolving phenotype distribution on the branches of a phylogeny, which is different from ancestral state reconstruction where the phenotype itself is assumed to evolve. We develop an efficient Bayesian inference method to estimate the parameters of our model and to test the evidence for changes in the phenotype distribution. We use multiple simulated datasets to show that our algorithm has good sensitivity and specificity properties. Since our method identifies branches on the tree on which the phenotype distribution has changed, it is able to break down a tree into components for which this distribution is unique and constant. We present two applications of our m...Continue Reading

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Mentioned in this Paper

Computer Software
Trees (plant)
Reconstructive Surgical Procedures
Salmonella enterica
Phylogenetic Analysis
HLA Antigens
HIV Infections
Histocompatibility Antigens Class I
Phenotype Determination
Branching (Qualifier Value)

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