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Maximum Parsimony Inference of Phylogenetic Networks in the Presence of Polyploid Complexes

Zhi Yan, Zhen Cao, Yushu Liu, Luay Nakhleh
doi: https://doi.org/10.1101/2020.09.28.317651
Zhi Yan
Department of Computer Science, Rice University
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Zhen Cao
Department of Computer Science, Rice University
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Yushu Liu
Department of Computer Science, Rice University
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Luay Nakhleh
Department of Computer Science, Rice University
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  • For correspondence: nakhleh@rice.edu
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Abstract

Phylogenetic networks provide a powerful framework for modeling and analyzing reticulate evolutionary histories. While polyploidy has been shown to be prevalent not only in plants but also in other groups of eukaryotic species, most work done thus far on phylogenetic network inference assumes diploid hybridization. These inference methods have been applied, with varying degrees of success, to data sets with polyploid species, even though polyploidy violates the mathematical assumptions underlying these methods. Statistical methods were developed recently for handling specific types of polyploids and so were parsimony methods that could handle polyploidy more generally yet while excluding processes such as incomplete lineage sorting. In this paper, we introduce a new method for inferring most parsimonious phylogenetic networks on data that include polyploid species. Taking gene trees as input, the method seeks a phylogenetic network that minimizes deep coalescences while accounting for polyploidy. The method could also infer trees, thus potentially distinguishing between auto- and allo-polyploidy. We demonstrate the performance of the method on both simulated and biological data. The inference method as well as a method for evaluating given phylogenetic networks are implemented and publicly available in the PhyloNet software package.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted September 29, 2020.
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Maximum Parsimony Inference of Phylogenetic Networks in the Presence of Polyploid Complexes
Zhi Yan, Zhen Cao, Yushu Liu, Luay Nakhleh
bioRxiv 2020.09.28.317651; doi: https://doi.org/10.1101/2020.09.28.317651
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Maximum Parsimony Inference of Phylogenetic Networks in the Presence of Polyploid Complexes
Zhi Yan, Zhen Cao, Yushu Liu, Luay Nakhleh
bioRxiv 2020.09.28.317651; doi: https://doi.org/10.1101/2020.09.28.317651

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