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Bayesian inference of phylogenetic relationships was carried out using the general time reversal model with gamma-shaped rate variation and a proportion of invariable sites (GTR+I+G) as implemented in MrBayes 3.12 [3.12
We allowed mixed models with invariant sites and gamma-shaped rate variation with four rate categories.
Morphological characters were treated with the standard discrete model assuming gamma-shaped rate variation and variable coding bias.
The morphological data were modeled under the assumption that only the variable characters among taxa were included, and gamma-shaped rate variation was enforced.
A general time-reversible model (GTR [ 43]) of DNA evolution was used, with a gamma-shaped rate variation with a proportion of invariable sites.
We ran M ODELTEST V.3.7[ 50] on this extended dataset and selected a GTR+R+I model, assuming a gamma-shaped rate variation and invariant sites.
A uniform distribution on the interval (0.05, 50) was used in the model of gamma-shaped rate variation across sites, and the parameter of the symmetric Dirichlet distribution was fixed to infinity.
Elucidating the mechanistic forces that shape mutation rate variation should represent a high priority in the field of plant mitochondrial genomics.
d α, Gamma shape parameter of rate variation among sites.
LRT θ: 2 log-likelihood-ratio against the null hypothesis of θ = 0. α ML: Gamma shape parameter for rate variation among sites.
Flat priors were assumed for the model parameters including the proportion of invariable sites and the gamma shape parameter of rate variation among sites.
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