Hey man, I couldn’t make the phylogenetic tree since you didn’t provide much information to propose a molecular clock hypothesis and also the whole DNA sequences you were working with are missing; so I used the ones in the character matrix constructed from the nucleotide sequences to create a similarity matrix (according to the number of positions with different nucleotides of each sequence and relative to the O sequence (also called external group)) and after that I created the following cladogram.
O |
A |
B |
C |
D |
E |
F |
G |
H |
I |
|
O |
0 |
|||||||||
A |
0 |
1 |
2 |
|||||||
B |
1 |
0 |
1 |
|||||||
C |
0 |
0 |
2 |
|||||||
D |
0 |
0 |
2 |
|||||||
E |
2 |
2 |
0 |
|||||||
F |
0 |
1 |
2 |
|||||||
G |
1 |
0 |
2 |
|||||||
H |
2 |
2 |
0 |
|||||||
I |
2 |
1 |
0 |
This is a part of the distance matrix I constructed; I don’t show all values (the important ones are highlighted) since when you calculate it you can see there are 3 particular groups always formed (you can see this much better in the character matrix you provided), these are: A-B-I, C-D-E and H-G-F, the position of the branches that connects them variates A LOT and that’s the reason why a bunch of trees can be fitted to a particular dataset.
This is the final cladogram:
TASK II DNA Sequence DNA was also collected (Table 1). You are going to use this...