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Table 1 Multiple regression of genomic variables and protein evolutionary rates

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

  dN dN/dS dN/dS' Residuals dN-dS
Predictor YTN1 YTN2 YTN1 YTN2 YTN1 YTN2 YTN1 YTN2
Relationships between evolutionary rates and six predictor variables         
   Expression level -0.105 -0.022 -0.043 0.058 -0.051 0.061 -0.038 0.050
   Expression variability -0.047 -0.064 -0.010 -0.015 -0.011 -0.013 -0.019 -0.024
   CAI -0.096 -0.037 0.026 -0.060 -0.088 -0.046 -0.072 -0.055
   GO -0.135* -0.277 -0.149* -0.311 -0.165 -0.313 -0.168 -0.307
   Essentality -0.185 -0.104 -0.229 -0.121 -0.208 -0.122 -0.181 -0.121
   Centrality 0.162 0.199* 0.151* 0.191* 0.164 0.190* 0.164 0.201*
Relationships between evolutionary rates and seven predictor variables         
   Expression level -0.107 -0.030 -0.044 0.047 -0.053 0.050 -0.040 0.041
   Expression variability -0.053 -0.084 -0.016 -0.036 -0.020 -0.035 -0.028 -0.043
   CAI -0.111 -0.059 0.010 -0.083 -0.105 -0.069 -0.091 -0.077
   GO -0.113 -0.204* -0.129* -0.244 -0.142* -0.246 -0.145* -0.237
   Essentiality -0.177 -0.039 -0.222 -0.060 -0.199 -0.062 -0.173 -0.057
   k in 0.139* 0.291 0.132* 0.288 0.148* 0.288 0.152* 0.290
   k out 0.042 -0.165 0.032 -0.148 0.037 -0.147 0.031 -0.154
  1. Network, function and expression-related variables have independent effects on the rate of protein evolution. Entries show standardized regression coefficients. *P < 0.05, P < 0.01, P < 0.001.