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We therefore tested multiple differently partitioned model schemes to identify which best fit the multilocus dataset.
Tree topologies were highly concordant between different partitioned model schemes, with only a single topological inconsistency between models.
PartitionFinderProtein 1.0.1 [ 79], using the greedy option and Bayesian Information Criterion BICC), tested the best partitioning scheme of our dataset, which was chosen for subsequent analysis, as well as the concatenated alignment and the completely partitioned model.
Second, for each of the 100 concatenated bootstrap data sets, MCMCMC sampling of trees was performed as previously described for the original data under the six GTR + Γ8 partitioned model, except that trees were sampled every 100 generations for only 500,000 generations.
For datasets #10 12, we analyzed either both genes under the same (Likelihood and Bayesian, respectively) or independent (Bayesian partitioned) model parameters (Tables 2 & S4, Additional file 1).
With the smaller dataset a partitioned model optimization was done in that we partitioned the dataset according to the 12 genes.
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In order to accommodate different substitution rates among codon positions, we used partitioned models of evolution (e.g. [56], [57]).
For ML and BI analyses, partitioned models were applied.
Second, we applied codon and partitioned models in likelihood-based tree comparisons (see Section II.5).
Akaike weights (Aw) [ 46] were also used to identify best-fit partitioned models [ 17].
Fig. 1 Channel partition model.
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