Literature DB >> 30758663

Quantifying the accuracy of ancestral state prediction in a phylogenetic tree under maximum parsimony.

Lina Herbst1, Heyang Li2, Mike Steel3.   

Abstract

In phylogenetic studies, biologists often wish to estimate the ancestral discrete character state at an interior vertex v of an evolutionary tree T from the states that are observed at the leaves of the tree. A simple and fast estimation method-maximum parsimony-takes the ancestral state at v to be any state that minimises the number of state changes in T required to explain its evolution on T. In this paper, we investigate the reconstruction accuracy of this estimation method further, under a simple symmetric model of state change, and obtain a number of new results, both for 2-state characters, and r-state characters ([Formula: see text]). Our results rely on establishing new identities and inequalities, based on a coupling argument that involves a simpler 'coin toss' approach to ancestral state reconstruction.

Keywords:  Coupling; Markov process; Maximum parsimony; Phylogenetic tree

Year:  2019        PMID: 30758663     DOI: 10.1007/s00285-019-01330-x

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  17 in total

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Journal:  PLoS One       Date:  2018-09-20       Impact factor: 3.240

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