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We ran BI analyses for 3 × 106 generations using the default temperature (0.2) with four Markov chains per generation, sampling trees every 100 generations.
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Trees were generated for 1,000,000 generations, sampling every 100 generations.
We ran each Bayesian analysis for five million generations, sampling every 100 generations (i.e. 50,000 sampled trees).
Analyses were run for 80×107 generations, sampling every 5000 generations.
Double analyses were run with four chains for 1,000,000 generations, sampling every 100 generations.
The analysis ran for 1,000,000 generations, sampling every 100th generation, using the GTR+G+I model.
Each MCMC chain was run for 5×107 generations, sampling every 5×103 generations.
MrBayes was run with four chains for 5 million generations sampling every 1000 generations.
Two MCMC analyses were run for 10 million generations, sampling every 1000th generation.
Each analysis was conducted for 20 million generations sampling every 1000 generations.
These analyses were run for 5 million generations, sampling trees every 100 generations.
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