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Table 6 Principal component regression analysis on six predictor variables and protein evolutionary rate for 639 yeast proteins in the "LC-multiple" dataset.

From: Understanding protein evolutionary rate by integrating gene co-expression with protein interactions

 

Principal Components

 

1

2

3

4

5

6

All

Percent variance explained in dN

27.43***

6.90***

1.40*

0.94#

0.32

0.26

37.24***

Percent contributions

       

mRNA abundance

21.4

22.0

50.1

6.0

0.0

0.5

 

protein abundance

20.7

21.7

44.3

6.3

1.6

5.3

 

gene dispensability

13.0

0.0

0.4

65.6

19.9

1.1

 

gene pleiotropy

2.8

25.6

0.8

22.0

48.6

0.2

 

ePPID

25.9

10.4

3.6

0.1

6.8

53.2

 

betweenness

16.3

20.3

0.7

0.0

23.0

39.7

 
  1. Note: #P < 0.01; *P < 10-3; **P < 10-6; ***P < 10-9. Bold indicates that the predictor variable contributes at least 20% to the corresponding principal component.