Iterative character weighting based on mutation frequency: a new method for constructing phyletic trees.

Abstract:

:In this paper we present an iterative character weighting method for the construction of phyletic trees. An initial tree is used to calculate the character weights, which are the number of mutations normalized so that the possible range is corrected for. The weights obtained are used to adjust the tree; this process is iterated until a stable tree is found. Using data generated according to a model tree, we show that the trees constructed by the iterative character weighting method converge to the true underlying tree. Using biological data, the trees become closer to the systematic classification of the species concerned, and patterns conflicting with the phylogenetic pattern can be singled out. The method involves a combination of minimal length methods and similarity methods, whereby the strict parsimony criterion is relaxed.

journal_name

J Mol Evol

authors

van Ooyen A,Hogeweg P

doi

10.1007/BF02101127

subject

Has Abstract

pub_date

1990-10-01 00:00:00

pages

330-42

issue

4

eissn

0022-2844

issn

1432-1432

journal_volume

31

pub_type

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