Bayesian support for Evolution: detecting phylogenetic signal in a subset of the primate family

TL;DR

This paper introduces a Bayesian randomization method to detect phylogenetic signals in primate DNA, confirming their shared evolutionary history consistent with evolutionary theory.

Contribution

It presents a novel Bayesian approach using nested sampling to assess phylogenetic information in molecular data of primates.

Findings

Primates share significant phylogenetic signals in their DNA.

The Bayesian measure indicates a shared common ancestor among the studied primates.

Results support the theory of evolution through molecular evidence.

Abstract

The theory of evolution states that the diversity of species can be explained by descent with modification. Therefore, all living beings are related through a common ancestor. This evolutionary process must have left traces in our molecular composition. In this work, we present a randomization procedure in order to determine if a group of 5 species of the primate family, namely, macaque, guereza, orangutan, chimpanzee and human, has retained these traces in its molecules. Firstly, we present the randomization methodology through two toy examples, which allow to understand its logic. We then carry out a DNA data analysis to assess if the group of primates contains phylogenetic information which links them in a joint evolutionary history. This is carried out by monitoring a Bayesian measure, called marginal likelihood, which we estimate by using nested sampling. We found that it would be unusual to get the relationship observed in the data among these primate species if they had not shared a common ancestor. The results are in total agreement with the theory of evolution.