Topological estimation biases with covarion evolution.

Abstract:

:Covarion processes allow changes in evolutionary rates at sites along the branches of a phylogenetic tree. Covarion-like evolution is increasingly recognized as an important mode of protein evolution. Several recent reports suggest that maximum likelihood estimation employing covarion models may support different optimal topologies than estimation using standard rates-across-sites (RAS) models. However, it remains to be demonstrated that ignoring covarion evolution will generally result in topological misestimation. In this study we performed analytical and theoretical studies of limiting distances under the covarion model and four-taxon tree simulations to investigate the extent to which the covarion process impacts on phylogenetic estimation. In particular, we assessed the limits of an RAS model-based maximum likelihood method to recover the phylogenies when the sequence data were simulated under the covarion processes. We find that, when ignored, covarion processes can induce systematic errors in phylogeny reconstruction. Surprisingly, when sequences are evolved under a covarion process but an RAS model is used for estimation, we find that a long branch repel bias occurs.

journal_name

J Mol Evol

authors

Wang HC,Susko E,Spencer M,Roger AJ

doi

10.1007/s00239-007-9062-4

subject

Has Abstract

pub_date

2008-01-01 00:00:00

pages

50-60

issue

1

eissn

0022-2844

issn

1432-1432

journal_volume

66

pub_type

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