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We performed maximum likelihood searches of the combined fHANT-AC dataset using mixed protein models in RaxML-VI-HPC (see above) for the optimal topology and also for the best topology in which ascomycete sequences were constrained to be monophyletic.
We also performed (D) maximum likelihood searches of a combined rDNA dataset and an RPB2 dataset in RaxML-VI-HPC ver. 2.2.3 [53] (mixed GTR and protein models) for the optimal topologies and also for the best topology in which T. reesei sequences were constrained to form a clade with U. maydis.
Fifty maximum likelihood searches were performed.
The phylogenetic relationships among taxa were inferred using Bayesian inference (BI) and maximum likelihood searches (ML).
A search combining 200 separate maximum likelihood searches to find the optimal tree was conducted.
Statistical distributions were based on 20 maximum likelihood searches of 100 data simulations.
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It is shown that the sequential method also outperforms the maximum likelihood search-based parameter estimation in cases where the initial positions of the targets is not precisely known.
The alignment was submitted to the RAxML [50] web server hosted by the Cyberinfrastructure for Phylogenetic Research, CIPRES PORTAL v1.14 (http://www.phylo.org/) for maximum likelihood tree analysis with specified parameters: Substitution matrix = JTT; Maximum likelihood search; Random seed for bootstrapping = 12345; Number of bootstrapping runs = 100).
Tree searches were conducted for 1000 bootstraps with a final maximum likelihood search.
To find best tree using maximum likelihood search, bootstrapping halted automatically and printed branch lengths.
Trees were obtained using empirical base frequencies and a maximum likelihood search.
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