Table 4 |
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|
Principal component regression analysis: principal components PC5 to PC8 |
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|
PC5 |
PC6 |
PC7 |
PC8 |
|||||
|
|
|
|
|
|||||
|
YTN1 |
YTN2 |
YTN1 |
YTN2 |
YTN1 |
YTN2 |
YTN1 |
YTN2 |
|
|
|
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|
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 |
|
|
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|
No single variable dominates the rate of protein evolution. *P < 0.05. PC, principal component. |
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|
Jovelin and Phillips Genome Biology 2009 10:R35 doi:10.1186/gb-2009-10-4-r35 |
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