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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