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Sound Colless-like balance indices for multifurcating trees.
Arnau Mir1,2, Lucía Rotger3, Francesc Rosselló1,2
1Dept. of Mathematics and Computer Science, University of the Balearic Islands, E-07122 Palma, Spain.
Plos One
|September 26, 2018
Summary
We introduce Colless-like balance indices to measure phylogenetic tree balance for multifurcating trees. Specific weight functions ensure these indices are sound, revealing how tree balance depends on growth pace.
Area of Science:
- Phylogenetics
- Computational Biology
- Tree Theory
Background:
- The Colless index is a standard balance measure for bifurcating phylogenetic trees.
- This index is not applicable to multifurcating phylogenetic trees, limiting balance assessment in broader evolutionary contexts.
Purpose of the Study:
- To generalize the Colless index for multifurcating phylogenetic trees.
- To introduce a family of Colless-like balance indices, denoted as [Formula: see text], adaptable to various dissimilarities and weight functions.
- To identify sound Colless-like indices and analyze the balance properties of multifurcating trees.
Main Methods:
- Proposed a family of Colless-like indices [Formula: see text] defined by a dissimilarity D and a weight function [Formula: see text].
- Proved the soundness of [Formula: see text] for specific weight functions f(n) = ln(n + e) and f(n) = en.
- Analyzed the most unbalanced trees for these sound indices across different dissimilarities and leaf numbers (n).
- Developed the R package "CollessLike" for computing and comparing these indices.
Main Results:
- Identified sound Colless-like indices using logarithmic and exponential weight functions.
- Demonstrated that the growth pace of the weight function influences the definition of tree balance.
- Found that trees in TreeBASE do not conform to the uniform or α-γ models for multifurcating trees.
Conclusions:
- The proposed Colless-like indices provide a robust framework for assessing balance in multifurcating phylogenetic trees.
- The choice of weight function significantly impacts the interpretation of tree balance.
- Empirical analysis suggests that real-world phylogenetic data may deviate from common theoretical models.
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