Evolutionary rates and centrality in the yeast gene regulatory network

Table 3 Principal component regression analysis: principal components PC1 to PC4

	PC1		PC2		PC3		PC4
	YTN1	YTN2	YTN1	YTN2	YTN1	YTN2	YTN1	YTN2
Percent variance explained by each PC	27	29	20	19	15	15	12	10
Effect of PCs on response variables
dN	0.118^†	-0.026	-0.172^‡	0.166*	0.015	0.199^†	-0.065	0.144
dS	-0.001	-0.009	-0.122*	-0.046	-0.161^†	-0.094	0.073	0.096
dS'	-0.014	-0.019	-0.053	-0.030	-0.108	-0.114	0.082	0.078
dN/dS	0.114^†	-0.028	-0.113*	0.194^†	0.106	0.240^†	-0.123*	0.117
dN/dS'	0.132^†	-0.025	-0.169^‡	0.190^†	0.064	0.248^†	-0.106	0.122
Residuals dN-dS	0.124^†	-0.024	-0.141^†	0.189^†	0.071	0.239^†	-0.093	0.120
Contribution of predictor variables to each PC
CAI	-0.095	0.228	0.535	-0.356	0.419	0.435	0.069	0.405
Expression level	0.008	0.289	0.515	-0.297	0.154	0.468	-0.596	-0.280
Expression variability	0.290	-0.105	-0.350	0.616	0.454	-0.050	0.132	-0.009
k_in	0.538	0.423	0.195	0.413	0.288	0.333	0.061	0.140
k_out	0.464	0.453	-0.047	0.052	-0.419	-0.353	-0.023	-0.157
Centrality	0.623	0.564	0.176	0.312	-0.095	-0.010	0.067	0.050
Essentiality	-0.115	0.230	0.415	-0.241	-0.102	-0.506	0.776	0.634
GO	0.011	0.314	0.287	-0.277	-0.562	-0.313	-0.109	-0.556

No single variable dominates the rate of protein evolution. *P < 0.05, ^†P < 0.01, ^‡P < 0.001. PC, principal component.

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