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Table 6 Principal component regression analysis on six predictor variables and protein evolutionary rate for 639 yeast proteins in the "LC-multiple" dataset.

From: Understanding protein evolutionary rate by integrating gene co-expression with protein interactions

  Principal Components
  1 2 3 4 5 6 All
Percent variance explained in dN 27.43*** 6.90*** 1.40* 0.94# 0.32 0.26 37.24***
Percent contributions        
mRNA abundance 21.4 22.0 50.1 6.0 0.0 0.5  
protein abundance 20.7 21.7 44.3 6.3 1.6 5.3  
gene dispensability 13.0 0.0 0.4 65.6 19.9 1.1  
gene pleiotropy 2.8 25.6 0.8 22.0 48.6 0.2  
ePPID 25.9 10.4 3.6 0.1 6.8 53.2  
betweenness 16.3 20.3 0.7 0.0 23.0 39.7  
  1. Note: #P < 0.01; *P < 10-3; **P < 10-6; ***P < 10-9. Bold indicates that the predictor variable contributes at least 20% to the corresponding principal component.