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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.