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Bayesian Phylogeny For Very Divergent Dataset?

A reviewer asked me to complement a maximum likelihood phylogeny with a Bayesian tree. Intuitively I think Bayes has problems with large divergent datasets (similarity below 25%), but intuition does not build papers. Can anybody comment on this? If applicable, which software should I use, MrBayes or Phylobayes? The idea is not to swap, but rather to substantiate the ML trees and provide better statistical support.

Cheers Arjen

phylogeny

You can translate ML bootstrap values on to a Bayesian tree or any given tree, using RAxML. It will work even if the RAxML tree looks different in topology. I am not sure if the reverse way would work. But theoretically you can translate a Bayesian .t or .trees file onto an ML tree, too.

1 answer

My question is more directed at whether it will work for divergent datasets...

Try phylobayes, for multigene analysis

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