Table 1

Multiple regression of genomic variables and protein evolutionary rates

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

kin

0.139*

0.291

0.132*

0.288

0.148*

0.288

0.152*

0.290

kout

0.042

-0.165

0.032

-0.148

0.037

-0.147

0.031

-0.154


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.

Jovelin and Phillips Genome Biology 2009 10:R35   doi:10.1186/gb-2009-10-4-r35

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