
Hierarchical clustering (Ward's minimum variance method) of mapped pseudosamples (A), unmapped pseudosamples (B), and whole samples (C), respectively. If a sample is marked by * in A, then its corresponding whole sample is again marked by * in C. For a selected pair of subclusters, we used a Kruskal–Wallis test to check whether there is a significant difference between within-group distances and between-group distances for the pair of subclusters.











