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nph12247-sup-0001-FigS1-S4.docxWord document298K

Fig. S1 Spatial autocorrelation statistics for genome size (GS) for the maize landrace and teosinte data.

Fig. S2 Quantile regressions between genome size (GS) and elevation when the teosinte samples are considered by subspecies rather than by gradient.

Fig. S3 Comparison between the observed and predicted genome size (GS) for maize (cultivated) and teosintes (wild), based on the linear partial least-squares regression (PLSR) model fitted without latitudinal and longitudinal information.

Fig. S4 Principal component analysis (PCA) with the teosinte populations labeled by subspecies rather than by their gradient of origin.

nph12247-sup-0002-TableS1-S4.docxWord document43K

Table S1 Measures of genome size in pg/2C for individual populations

Table S2 Nonparametric multivariate analysis of variance (PERMANOVA) for teosinte subpopulations

Table S3 Spearman Rank correlations between genome size (GS) and bioclimatic variables for separate teosinte subspecies

Table S4 Environmental variables and their coefficients in the linear partial least-squares regression (PLSR) model without longitude and latitude included in the model