Figure 2.

Bayesian cluster analysis using STRUCTURE. A: estimates of ΔK, based on the second order rate of change of the likelihood function with respect to K, to determine the most likely number of clusters (K) in the data set. In this case K = 3. B: graphical representation of the data set for the most likely K = 3, where each colour corresponds to a suggested cluster and each individual is represented by a vertical bar. The numbers in the X-axis correspond to a specific sample: 1- Annobón, 2- Bata, 3- Malabo, 4- Ngonamanga, 5- Sácriba and 6- Libreville. The Y-axis represents the probability of assignment of an individual to each cluster.