DocumentCode
1648
Title
On the Number of Ranked Species Trees Producing Anomalous Ranked Gene Trees
Author
Disanto, Filippo ; Rosenberg, Noah A.
Author_Institution
Dept. of Biol., Stanford Univ., Stanford, CA, USA
Volume
11
Issue
6
fYear
2014
fDate
Nov.-Dec. 1 2014
Firstpage
1229
Lastpage
1238
Abstract
Analysis of probability distributions conditional on species trees has demonstrated the existence of anomalous ranked gene trees (ARGTs), ranked gene trees that are more probable than the ranked gene tree that accords with the ranked species tree. Here, to improve the characterization of ARGTs, we study enumerative and probabilistic properties of two classes of ranked labeled species trees, focusing on the presence or avoidance of certain subtree patterns associated with the production of ARGTs. We provide exact enumerations and asymptotic estimates for cardinalities of these sets of trees, showing that as the number of species increases without bound, the fraction of all ranked labeled species trees that are ARGT-producing approaches 1. This result extends beyond earlier existence results to provide a probabilistic claim about the frequency of ARGTs.
Keywords
evolution (biological); genetics; probability; trees (mathematics); ARGT-producing approaches; anomalous ranked gene trees; asymptotic estimates; probabilistic properties; probability distribution analysis; ranked species trees; subtree patterns; Bioinformatics; Computational biology; Genetics; Labeling; Phylogeny; Vegetation; Enumeration; gene trees; labeled histories; mathematical phylogenetics; species trees;
fLanguage
English
Journal_Title
Computational Biology and Bioinformatics, IEEE/ACM Transactions on
Publisher
ieee
ISSN
1545-5963
Type
jour
DOI
10.1109/TCBB.2014.2343977
Filename
6867321
Link To Document