Literature DB >> 27188249

The space of ultrametric phylogenetic trees.

Alex Gavryushkin1, Alexei J Drummond2.   

Abstract

The reliability of a phylogenetic inference method from genomic sequence data is ensured by its statistical consistency. Bayesian inference methods produce a sample of phylogenetic trees from the posterior distribution given sequence data. Hence the question of statistical consistency of such methods is equivalent to the consistency of the summary of the sample. More generally, statistical consistency is ensured by the tree space used to analyse the sample. In this paper, we consider two standard parameterisations of phylogenetic time-trees used in evolutionary models: inter-coalescent interval lengths and absolute times of divergence events. For each of these parameterisations we introduce a natural metric space on ultrametric phylogenetic trees. We compare the introduced spaces with existing models of tree space and formulate several formal requirements that a metric space on phylogenetic trees must possess in order to be a satisfactory space for statistical analysis, and justify them. We show that only a few known constructions of the space of phylogenetic trees satisfy these requirements. However, our results suggest that these basic requirements are not enough to distinguish between the two metric spaces we introduce and that the choice between metric spaces requires additional properties to be considered. Particularly, that the summary tree minimising the square distance to the trees from the sample might be different for different parameterisations. This suggests that further fundamental insight is needed into the problem of statistical consistency of phylogenetic inference methods.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Keywords:  CAT(0); Curvature; Geodesic; Phylogenetic inference; Phylogenetic tree; Posterior distribution summary; Simplicial complex; Time-tree; Ultrametric tree

Mesh:

Year:  2016        PMID: 27188249     DOI: 10.1016/j.jtbi.2016.05.001

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  6 in total

1.  Bayesian Total-Evidence Dating Reveals the Recent Crown Radiation of Penguins.

Authors:  Alexandra Gavryushkina; Tracy A Heath; Daniel T Ksepka; Tanja Stadler; David Welch; Alexei J Drummond
Journal:  Syst Biol       Date:  2017-01-01       Impact factor: 15.683

2.  Discrete coalescent trees.

Authors:  Lena Collienne; Kieran Elmes; Mareike Fischer; David Bryant; Alex Gavryushkin
Journal:  J Math Biol       Date:  2021-11-05       Impact factor: 2.259

3.  Counting and sampling gene family evolutionary histories in the duplication-loss and duplication-loss-transfer models.

Authors:  Cedric Chauve; Yann Ponty; Michael Wallner
Journal:  J Math Biol       Date:  2020-02-15       Impact factor: 2.259

4.  The combinatorics of discrete time-trees: theory and open problems.

Authors:  Alex Gavryushkin; Chris Whidden; Frederick A Matsen
Journal:  J Math Biol       Date:  2017-07-29       Impact factor: 2.259

5.  The geometry of partial fitness orders and an efficient method for detecting genetic interactions.

Authors:  Caitlin Lienkaemper; Lisa Lamberti; James Drain; Niko Beerenwinkel; Alex Gavryushkin
Journal:  J Math Biol       Date:  2018-05-07       Impact factor: 2.259

6.  Computing nearest neighbour interchange distances between ranked phylogenetic trees.

Authors:  Lena Collienne; Alex Gavryushkin
Journal:  J Math Biol       Date:  2021-01-25       Impact factor: 2.259

  6 in total

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