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ACCURACY OF PHYLOGENETIC‐ESTIMATION METHODS UNDER UNEQUAL EVOLUTIONARY RATES
Author(s) -
Kim Junhyong,
Burgman Mark A.
Publication year - 1988
Publication title -
evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.84
H-Index - 199
eISSN - 1558-5646
pISSN - 0014-3820
DOI - 10.1111/j.1558-5646.1988.tb04163.x
Subject(s) - biology , phylogenetic tree , maximum parsimony , maximum likelihood , cluster analysis , evolutionary biology , population , statistics , phylogenetics , mathematics , genetics , clade , gene , demography , sociology
A comparative study of the accuracy of three different approaches to phylogenetic estimation was made on simulated data with differing rates of change in different lineages. The three approaches were maximum likelihood, maximum parsimony, and phenetic clustering. The data were generated by simulating genetic drift with different population sizes over a simple four‐species tree topology. Although the accuracy of all three approaches was found to be dependent on the number of loci (characters), maximum likelihood was found to perform considerably and consistently better than maximum parsimony or phenetic clustering.