Measuring tree balance using symmetry nodes — A new balance index and its extremal properties

• Main Authors: Fischer, M. (Author), Kersting, S.J (Author)
• Format: Article
• Language: English
• Published: Elsevier Inc. 2021
• Subjects: article; cherry; Cherry index; computer language; Degree of asymmetry; Evolutionary tree; Extremal; fertility; human; human experiment; Node indices; nonhuman; numerical model; Phylogenetic; phylogenetic tree; phylogenetics; Phylogenetics; population dynamics; Property; Roger J; Rogers J; software; specialization; symmetry; Symmetry node; Tree balance; Trees (mathematics)
• Online Access: View Fulltext in Publisher

 Effects like selection in evolution as well as fertility inheritance in the development of populations can lead to a higher degree of asymmetry in evolutionary trees than expected under a null hypothesis. To identify and quantify such influences, various balance indices were proposed in the phylogenetic literature and have been in use for decades. However, so far no balance index was based on the number of symmetry nodes, even though symmetry nodes play an important role in other areas of mathematical phylogenetics and despite the fact that symmetry nodes are a quite natural way to measure balance or symmetry of a given tree. The aim of this manuscript is thus twofold: First, we will introduce the symmetry nodes index as an index for measuring balance of phylogenetic trees and analyze its extremal properties. We also show that this index can be calculated in linear time. This new index turns out to be a generalization of a simple and well-known balance index, namely the cherry index, as well as a specialization of another, less established, balance index, namely Rogers’ J index. Thus, it is the second objective of the present manuscript to compare the new symmetry nodes index to these two indices and to underline its advantages. In order to do so, we will derive some extremal properties of the cherry index and Rogers’ J index along the way and thus complement existing studies on these indices. Moreover, we used the programming language R to implement all three indices in the software package symmeTree, which has been made publicly available. © 2021 Elsevier Inc.