Additional file 4 of MARPLE, a point-of-care, strain-level disease diagnostics and surveillance tool for complex fungal pathogens

Multivariate discriminant analysis of principal components (DAPC) performed on the 301 global Pst isolates. (a) The Bayesian information criterion (BIC) was calculated for combined DAPC analysis of all 301 global Pst isolates, which indicated an optimal clustering solution of K = 5. (b-f) Further DAPC analysis was carried on each of the initial five population clusters, and assessment of the BIC was used to determine the optimal clustering solution (red circle). The Y-axis corresponds to the BIC, a goodness-of-fit measurement calculated for each K value. (EPS 994 kb)