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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).
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The calculation of bootstrap proportion values was conducted as described in Felsenstein (1985).
Bootstrap proportion values were calculated for internal branches of each tree using the CONSENSE program in PHYLIP.
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.
1000 iterations were conducted for bootstrap support, and bootstrap values are indicated at each node.
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