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Table 2 Results of Multiple Matrix Regression with Randomization (MMRR) analysis for each of our three molecular datasets

From: Population genetic structure is shaped by historical, geographic, and environmental factors in the leguminous shrub Caragana microphylla on the Inner Mongolia Plateau of China

  Model IBD PC1 PC2 PC3 IBE  
  R2 p β p β p β p β p β p
SSR 0.685 <0.01 0.260 <0.01 0.549 <0.01 0.006 0.94 0.159 0.31 0.702 <0.01
cpDNA 0.696 <0.01 0.361 0.02 0.383 <0.01 0.080 0.30 0.211 0.08 0.515 <0.01
GBS 0.888 <0.01 0.444 <0.01 0.563 <0.01 0.059 0.36 0.060 0.50 0.564 <0.01
  1. The overall model fit (R2) and significance (p), regression coefficients (β) and p-values for each predictor variable (geographic distance [IBD] and environmental PCs [PC1, PC2, and PC3]), and cumulative coefficient of IBE (for all PCs) are shown. Significant values are in bold