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Bootstrap proportion values were calculated for internal branches of each tree using the CONSENSE program in PHYLIP.
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The calculation of bootstrap proportion values was conducted as described in Felsenstein (1985).
Bootstrap proportion values are given for each node.
Figures 6 and 7 indicate that although both reconstructions are consistent with each other, bootstrap proportion values are higher for the tree based on 9-tuples.
The tree resulting from the Bayesian analysis is presented in Figure 5 and the maximum likelihood bootstrap proportion values are added to this tree (Additional files 6 and 7 present separate trees resulting from maximum likelihood and Bayesian analyses, respectively).
Given that bootstrap proportion values (BP values) are a conservative measure of a clade support [71] and that Bayesian posterior probabilities (PP values) might overestimate node support [72], PP values >95% and BP values >85% were interpreted as giving significant support to the respective clades.
For both 5-tuple trees and LPS9-based trees, low bootstrap proportion values (less than 30%) were observed in those clades inconsistent with the true tree.
Third, a direct calculation of bootstrap proportion values for individual nodes of the resulting tree is possible rather than their empirical estimation.
The value is 100 replicates of bootstrapping proportion values (> 50%) using ML analyses.
The first value is 100 replicates of bootstrapping proportion values (> 50%) using ML analyses.
ML bootstrapping analysis was conducted from 100 replicated sequences with a TreeFinder program (version October 2008; http://www.treefinder.de/) [67], in which consensus ML trees and bootstrap proportion (BP) supporting values were calculated from the 100 ML trees by a majority ruling law.
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