English

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

Populations and Evolution 2018-05-03 v1

Abstract

In phylogenetic studies, biologists often wish to estimate the ancestral discrete character state at an interior vertex vv of an evolutionary tree TT 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 vv to be any state that minimises the number of state changes in TT required to explain its evolution on TT. 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 rr--state characters (r>2r>2). 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

Cite

@article{arxiv.1805.00548,
  title  = {Quantifying the accuracy of ancestral state prediction in a phylogenetic tree under maximum parsimony},
  author = {Lina Herbst and Thomas Li and Mike Steel},
  journal= {arXiv preprint arXiv:1805.00548},
  year   = {2018}
}

Comments

26 pages, 4 figures