On joint subtree distributions under two evolutionary models

Wu, Taoyang ORCID: https://orcid.org/0000-0002-2663-2001 and Choi, Kwok Pui (2016) On joint subtree distributions under two evolutionary models. Theoretical Population Biology, 108. pp. 13-23. ISSN 1096-0325

[thumbnail of Pattern_stat_TPB_final]
PDF (Pattern_stat_TPB_final) - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

Download (381kB) | Preview


In population and evolutionary biology, hypotheses about micro-evolutionary and macroevolutionary processes are commonly tested by comparing the shape indices of empirical evolutionary trees with those predicted by neutral models. A key ingredient in this approach is the ability to compute and quantify distributions of various tree shape indices under random models of interest. As a step to meet this challenge, in this paper we investigate the joint distribution of cherries and pitchforks (that is, subtrees with two and three leaves) under two widely used null models: the Yule-Harding-Kingman (YHK) model and the proportional to distinguishable arrangements (PDA) model. Based on two novel recursive formulae, we propose a dynamic approach to numerically compute the exact joint distribution (and hence the marginal distributions) for trees of any size. We also obtained insights into the statistical properties of trees generated under these two models, including a constant correlation between the cherry and the pitchfork distributions under the YHK model, and the log-concavity and unimodality of the cherry distributions under both models. In addition, we show that there exists a unique change point for the cherry distributions between these two models.

Item Type: Article
Uncontrolled Keywords: phylogenetic tree,subtree distribution,yule-harding-kingman model,pda model,tree indices,joint distribution
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Computational Biology > Phylogenetics (former - to 2018)
Faculty of Science > Research Groups > Computational Biology
Depositing User: Pure Connector
Date Deposited: 02 Dec 2015 10:00
Last Modified: 14 Jun 2023 12:19
URI: https://ueaeprints.uea.ac.uk/id/eprint/55603
DOI: 10.1016/j.tpb.2015.11.004

Actions (login required)

View Item View Item