Both methods build trees by searching the genetic distance matrix for the most similar populations, and then connecting these populations at a node. The main difference between the algorithms is ...

Extensive genetic variability was detected and partitioned ... The relationship between the (Φ ST) distance matrix and the matrix of geographic distances was analysed using a Mantel type matrix ...

How were these plots generated? In short what these really are are visual representations of a matrix of genetic distances (those distances being general FST), which L. L. Cavalli-Sforza and ...

Remember, the value within Fst shows the proportion of the genetic variance in the two populations which can be partitioned across them, but not within them. So it's a rough measure of genetic ...