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Minimum variance rooting of phylogenetic trees and implications for species tree reconstruction

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  • Uyen Mai
  • Erfan Sayyari
  • Siavash Mirarab

Abstract

Phylogenetic trees inferred using commonly-used models of sequence evolution are unrooted, but the root position matters both for interpretation and downstream applications. This issue has been long recognized; however, whether the potential for discordance between the species tree and gene trees impacts methods of rooting a phylogenetic tree has not been extensively studied. In this paper, we introduce a new method of rooting a tree based on its branch length distribution; our method, which minimizes the variance of root to tip distances, is inspired by the traditional midpoint rerooting and is justified when deviations from the strict molecular clock are random. Like midpoint rerooting, the method can be implemented in a linear time algorithm. In extensive simulations that consider discordance between gene trees and the species tree, we show that the new method is more accurate than midpoint rerooting, but its relative accuracy compared to using outgroups to root gene trees depends on the size of the dataset and levels of deviations from the strict clock. We show high levels of error for all methods of rooting estimated gene trees due to factors that include effects of gene tree discordance, deviations from the clock, and gene tree estimation error. Our simulations, however, did not reveal significant differences between two equivalent methods for species tree estimation that use rooted and unrooted input, namely, STAR and NJst. Nevertheless, our results point to limitations of existing scalable rooting methods.

Suggested Citation

  • Uyen Mai & Erfan Sayyari & Siavash Mirarab, 2017. "Minimum variance rooting of phylogenetic trees and implications for species tree reconstruction," PLOS ONE, Public Library of Science, vol. 12(8), pages 1-19, August.
  • Handle: RePEc:plo:pone00:0182238
    DOI: 10.1371/journal.pone.0182238
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    Cited by:

    1. Jerzy Tiuryn & Natalia Rutecka & Paweł Górecki, 2024. "Phylogenetic network-assisted rooting of unrooted gene trees," Journal of Combinatorial Optimization, Springer, vol. 47(5), pages 1-27, July.

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