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Given the open-ended and time-consuming nature of our simulations, we could not be exhaustive in the search for optimal evolutionary parameters.
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These software search for an optimal evolutionary scenario for the association between hosts and their symbionts (for example, parasites).
The best partitioning schemes and the optimal evolutionary models for each of the partitioned dataset for the RaxML analyse are listed in Additional file 2: Table S2.
Modeltest was used to determine the optimal evolutionary model for the dataset [48].
The optimal evolutionary model for the family was calculated from this alignment with ProtTest [ 64].
ModelTest [ 45] was used to select the optimal evolutionary model for each dataset, based on hierarchical likelihood ratio tests.
ProTest [ 114] was used to predict optimal evolutionary models for maximum likelihood analysis using Akaike Information Criteria (AIC) [ 115].
Ideally, a good marker would have an optimal evolutionary rate for the given phylogenetic question, equilibrated and homogeneous base frequencies [ 30, 31], and homogeneous distribution of site variability [ 11].
The optimal evolutionary model was selected for each gene based upon the Akaike information criterion (corrected) ranking implemented in jModelTest.
The optimal evolutionary model was GTR+I+Γ, both for the combined data and the individual gene fragments.
The optimal evolutionary model was identified in Treefinder [ 60] and was used in all subsequent analyses to reconstruct maximum-likelihood trees for aa and nt data.
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