Skip to main content

Table 5 Principal component regression analysis on six predictor variables and protein evolutionary rate for 723 yeast proteins in the "Combined-AP/MS" 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

27.26***

7.77***

1.11*

0.92#

0.83#

0.01

37.90***

Percent contributions

       

mRNA abundance

24.3

9.0

14.6

47.3

0.3

4.4

 

protein abundance

22.8

15.9

13.4

41.3

0.1

6.5

 

gene dispensability

8.7

2.5

20.8

1.0

63.2

3.8

 

gene pleiotropy

0.0

37.2

40.1

0.0

20.6

2.1

 

ePPID

24.5

16.6

4.3

7.5

0.0

47.0

 

betweenness

19.7

18.9

6.8

2.8

15.8

36.1

 
  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.