AI Article Synopsis

  • Biologists aim to estimate the ancestral states at internal vertices of evolutionary trees based on observed states at the leaves.
  • The maximum parsimony method is a quick way to do this, choosing states that minimize changes along the tree.
  • The paper explores the accuracy of this method using a symmetric model of state change, revealing new insights for both 2-state and r-state characters through a novel approach involving 'coin toss' reasoning.

Article 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.

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Source
http://dx.doi.org/10.1007/s00285-019-01330-xDOI Listing

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