Skip Navigation

Systematic Biology 2007 56(1):68-82; doi:10.1080/10635150601175578
This Article
Right arrow Full Text Freely available
Right arrow FREE Full Text (PDF) Freely available
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrow Search for citing articles in:
ISI Web of Science (7)
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Ruano-Rubio, V.
Right arrow Articles by Fares, M. A.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Ruano-Rubio, V.
Right arrow Articles by Fares, M. A.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© 2007 Society of Systematic Biologists

Artifactual Phylogenies Caused by Correlated Distribution of Substitution Rates among Sites and Lineages: The Good, the Bad, and the Ugly

Valentin Ruano-Rubio1,2 and Mario A. Fares1,2

1 Molecular Evolution and Bioinformatics Laboratory, Department of Biology, National University of Ireland Maynooth, Ireland

Edited by Tim Collins: Associate Editor


   Abstract

Despite the advances in understanding molecular evolution, current phylogenetic methods barely take account of a fraction of the complexity of evolution. We are chiefly constrained by our incomplete knowledge of molecular evolutionary processes and the limits of computational power. These limitations lead to the establishment of either biologically simplistic models that rarely account for a fraction of the complexity involved or overfitting models that add little resolution to the problem. Such oversimplified models may lead us to assign high confidence to an incorrect tree (inconsistency). Rate-across-site (RAS) models are commonly used evolutionary models in phylogenetic studies. These account for heterogeneity in the evolutionary rates among sites but do not account for changing within-site rates across lineages (heterotachy). If heterotachy is common, using RAS models may lead to systematic errors in tree inference. In this work we show possible misleading effects in tree inference when the assumption of constant within-site rates across lineages is violated using maximum likelihood. Using a simulation study, we explore the ways in which gamma stationary models can lead to wrong topology or to deceptive bootstrap support values when the within-site rates change across lineages. More precisely, we show that different degrees of heterotachy mislead phylogenetic inference when the model assumed is stationary. Finally, we propose a geometry-based approach to visualize and to test for the possible existence of bias due to heterotachy.

Keywords: Covarions; heterotachy; maximum likelihood; phylogenetic bias; rate-across-site; systematic error

Received November 2, 2005; Revised January 6, 2006; Accepted August 25, 2006


2 Present Address: Evolutionary Genetics and Bioinformatics Laboratory, Department of Genetics, Smurfit Institute of Genetics, University of Dublin, Trinity College, Dublin 2, Ireland; E-mail: faresm{at}tcd.ie (M.A.F.)


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
Syst BiolHome page
N. C. Sheffield, H. Song, S. L. Cameron, and M. F. Whiting
Nonstationary Evolution and Compositional Heterogeneity in Beetle Mitochondrial Phylogenomics
Syst Biol, August 1, 2009; 58(4): 381 - 394.
[Abstract] [Full Text] [PDF]


Home page
Syst BiolHome page
F. A. Matsen and M. Steel
Phylogenetic Mixtures on a Single Tree Can Mimic a Tree of Another Topology
Syst Biol, October 1, 2007; 56(5): 767 - 775.
[Abstract] [Full Text] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.