MrBayes Analyzes The Fundulus Heteroclitus Data

And, the phylogenetic tree doesn't change much from what Kris published in his thesis using UPGMA. I'm trying to re-write the thesis for journal submission, and realized that we need another view or two of how a phylogenetic tree could be assembled from our DNA sequences. MrBayes uses Bayesian statistical techniques, different from other approaches in that it assumes one knows something about a data set and conditions, and that information can be woven in building a tree (in this case). I've been using it with my striped and longnose killifish data and it gives more plausible results than other approaches. I'll show those trees later. Anyway, with the mummichog dataset once again there is a strong north/south divide between populations, and the Virginia populations are distinct from those to the south. The larger numbers are a consensus value from the several thousand runs the program makes through the data, so 0.59 means that 59% of the program runs came up with the same solution. There are two outgroups in this tree, Rivulus (I forget which species) and Fundulus similis from Key West, FL.