GARLI_1 |
The numbers on the branches are the bootstrap result. In this trial, I set a bootstrap repetition of 50. Basically, the bigger the number is, the greater support we have for that particular branch, with the greatest number of 50. Though overall the tree looks pretty decent, notice that in this tree we have only little support for myc 1,2,5,23,16, and 30.
Next, I moved on to run the samples with RAxML. The branch lengths varied significantly and I am still understanding the implication of it. The maximum bootstrap number is 100. While most of them were pretty big, the numbers for were still very small (splitto the extreme). This lack of support was due to the same sequences. myc01 is identical to myc02 where as myc16 is identical to myc23.
Therefore, the next thing I did was to run both GARLI and RAxML again with identical sequences eliminated so that they wouldn't confuse the program.
GARLI_3 with identical samples eliminated. |
RAxML_2 with identical samples eliminated. |
The next thing I am going to do it is to run the samples with MrBayes and compare the result topologies. I am finally meeting with my mentor this coming Friday, and hopefully we'll discuss more about the results!