Phylogenetic studies based onmolecular sequence alignments are expected to becomemore accurate as the number of sites in the alignments increases.With the advent of genomic-scale data, where alignments have very large numbers of sites, bootstrap values close to 100%and posterior probabilities close to 1 are the norm, suggesting that the number of sites is now seldom a limiting factor on phylogenetic accuracy. This provokes the question, should we be fussy about the sites we choose to include in a genomic-scale phylogenetic analysis? If some sites contain missing data, ambiguous character states, or gaps, then why not just throw them away before conducting the phylogenetic analysis? Indeed, this is exactly the approach taken in many phylogenetic studies. Here, we present an example where the decision on howto treat sites withmissing data is of equal importance to decisions on taxon sampling and model choice, and we introduce a graphical method for illustrating this.
Funding
Australian Research Council
History
Publication title
Genome Biology and Evolution
Volume
5
Issue
4
Pagination
681-687
ISSN
1759-6653
Department/School
School of Natural Sciences
Publisher
Oxford University Press
Place of publication
United Kingdom
Rights statement
Licensed under Creative Commons Attribution-Non-Commercial 3.0 Unported (CC BY NC 3.0) http://creativecommons.org/licenses/by-nc/3.0/