Bridging Between Deviation Indices for Non-Tree-Based Phylogenetic Networks

Phylogenetic networks are a useful model that can represent reticulate evolution and complex biological data. In recent years, mathematical and computational aspects of tree-based networks have been well studied. However, not all phylogenetic networks are tree-based, so it is meaningful to consider how close a given network is to being tree-based; Francis-Steel-Semple (2018) proposed several different indices to measure the degree of deviation of a phylogenetic network from being tree-based. One is the minimum number of leaves that need to be added to convert a given network to tree-based, and another is the number of vertices that are not included in the largest subtree covering its leaf-set. Both values are zero if and only if the network is tree-based. Both deviation indices can be computed efficiently, but the relationship between the above two is unknown, as each has been studied using different approaches. In this study, we derive a tight inequality for the values of the two measures and also give a characterisation of phylogenetic networks such that they coincide. This characterisation yields a new efficient algorithm for the Maximum Covering Subtree Problem based on the maximal zig-zag trail decomposition.

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Journal
IEEE/ACM Transactions on Computational Biology and Bioinformatics
Published
2024-09-09
DOI
https://doi.org/10.1109/tcbb.2024.3456575
Primary Topic
Genomics and Phylogenetic Studies
Type
article
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article

Bridging Between Deviation Indices for Non-Tree-Based Phylogenetic Networks

Takatora Suzuki, Momoko Hayamizu, Han Guo
IEEE/ACM Transactions on Computational Biology and Bioinformatics
Genomics and Phylogenetic Studies
article

Bridging Between Deviation Indices for Non-Tree-Based Phylogenetic Networks

Takatora Suzuki, Momoko Hayamizu, Han Guo
article en

Abstract

Phylogenetic networks are a useful model that can represent reticulate evolution and complex biological data. In recent years, mathematical and computational aspects of tree-based networks have been well studied. However, not all phylogenetic networks are tree-based, so it is meaningful to consider how close a given network is to being tree-based; Francis-Steel-Semple (2018) proposed several different indices to measure the degree of deviation of a phylogenetic network from being tree-based. One is the minimum number of leaves that need to be added to convert a given network to tree-based, and another is the number of vertices that are not included in the largest subtree covering its leaf-set. Both values are zero if and only if the network is tree-based. Both deviation indices can be computed efficiently, but the relationship between the above two is unknown, as each has been studied using different approaches. In this study, we derive a tight inequality for the values of the two measures and also give a characterisation of phylogenetic networks such that they coincide. This characterisation yields a new efficient algorithm for the Maximum Covering Subtree Problem based on the maximal zig-zag trail decomposition.

IEEE/ACM Transactions on Computational Biology and BioinformaticsVol. 21(6)
Waseda University (JP)
Openalex Percentile: Top 87%
Genomics and Phylogenetic Studies
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Bridging Between Deviation Indices for Non-Tree-Based Phylogenetic Networks — Takatora Suzuki, Momoko Hayamizu, et al. · IEEE/ACM Transactions on Computational Biology and Bioinformatics (2024) | TGRS Research Map | TGRS