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Table 3 Principal component regression analysis: principal components PC1 to PC4

From: Evolutionary rates and centrality in the yeast gene regulatory network

  PC1 PC2 PC3 PC4
  YTN1 YTN2 YTN1 YTN2 YTN1 YTN2 YTN1 YTN2
Percent variance explained by each PC 27 29 20 19 15 15 12 10
Effect of PCs on response variables         
   dN 0.118 -0.026 -0.172 0.166* 0.015 0.199 -0.065 0.144
   dS -0.001 -0.009 -0.122* -0.046 -0.161 -0.094 0.073 0.096
   dS' -0.014 -0.019 -0.053 -0.030 -0.108 -0.114 0.082 0.078
   dN/dS 0.114 -0.028 -0.113* 0.194 0.106 0.240 -0.123* 0.117
   dN/dS' 0.132 -0.025 -0.169 0.190 0.064 0.248 -0.106 0.122
   Residuals dN-dS 0.124 -0.024 -0.141 0.189 0.071 0.239 -0.093 0.120
Contribution of predictor variables to each PC         
   CAI -0.095 0.228 0.535 -0.356 0.419 0.435 0.069 0.405
   Expression level 0.008 0.289 0.515 -0.297 0.154 0.468 -0.596 -0.280
   Expression variability 0.290 -0.105 -0.350 0.616 0.454 -0.050 0.132 -0.009
   k in 0.538 0.423 0.195 0.413 0.288 0.333 0.061 0.140
   k out 0.464 0.453 -0.047 0.052 -0.419 -0.353 -0.023 -0.157
   Centrality 0.623 0.564 0.176 0.312 -0.095 -0.010 0.067 0.050
   Essentiality -0.115 0.230 0.415 -0.241 -0.102 -0.506 0.776 0.634
   GO 0.011 0.314 0.287 -0.277 -0.562 -0.313 -0.109 -0.556
  1. No single variable dominates the rate of protein evolution. *P < 0.05, P < 0.01, P < 0.001. PC, principal component.