Table 4

Principal component regression analysis: principal components PC5 to PC8

PC5

PC6

PC7

PC8





YTN1

YTN2

YTN1

YTN2

YTN1

YTN2

YTN1

YTN2


Percent variance explained by each PC

10

9

7

8

7

8

2

2

Effect of PCs on response variables

dN

-0.067

-0.170

-0.127

0.109

-0.144

-0.188

-0.088

-0.213

dS

0.055

0.078

-0.043

0.034

-0.131

-0.249

0.011

0.074

dS'

0.081

0.050

0.022

0.046

-0.195*

-0.251*

-0.014

-0.073

dN/dS

-0.045

-0.209*

-0.052

0.098

-0.167*

-0.106

-0.103

-0.147

dN/dS'

-0.081

-0.201*

-0.117

0.093

-0.114

-0.102

-0.083

-0.143

Residuals dN-dS

-0.089

-0.203*

-0.119

0.103

-0.108

-0.118

-0.089

-0.200

Contribution of predictor variables to each PC

CAI

0.194

0.624

0.501

-0.279

-0.485

0.027

-0.022

-0.025

Expression level

-0.255

-0.366

0.025

0.178

0.539

0.603

0.001

-0.032

Expression variability

0.400

0.447

0.377

0.098

0.518

0.630

-0.010

-0.020

kin

0.101

-0.060

-0.505

0.328

-0.139

-0.296

0.549

0.567

kout

-0.353

-0.090

0.584

-0.691

-0.062

0.177

0.370

0.354

Centrality

-0.026

-0.086

-0.102

-0.023

-0.083

-0.170

-0.741

-0.738

Essentiality

-0.192

-0.125

-0.022

0.367

0.402

0.277

-0.049

-0.063

GO

0.752

0.492

0.012

0.400

0.121

-0.119

0.098

0.047


No single variable dominates the rate of protein evolution. *P < 0.05. PC, principal component.

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

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