Fig. 1: Association between genomic variation and climate variables for diamondback moth.
From: Large-scale genome-wide study reveals climate adaptive variability in a cosmopolitan pest
a Venn diagram showing the number of climate-associated SNPs identified by the three different models, Samβada, LFMM, and Bayenv 2. b Ranked importance of climatic and geographical variables based on generalized dissimilarity modelling (GDM), showing that the genomic variation can be mainly explained by climate variables. c GDM-predicted pattern of climate-associated genomic variation along environmental gradients across the world. Colors are based on the results of the principal components analysis (PCA) of transformed climate variables. The PCA-based biplot indicates the contribution of climate variables to the predicted pattern of genomic variation. Arrows (or vectors) show the loadings of climate variables on PCA.
