Skip to main content

Table 2 Characteristics of buffering and non-buffering yeast two-gene families

From: Buffering by gene duplicates: an analysis of molecular correlates and evolutionary conservation

Feature

Source

Buffering gene pair – average

Buffering gene pair – count

Non-buffering gene pair – average

Non-buffering gene pair – count

t-score

Across genes

      

mRNA abundance (molecules/cell)

[67]

4.948

91

0.906

14

4.04*

Protein abundance (molecules/cell)

[67]

35040

29

2116

4

2.84

Molecular weight (Da)

[66]

66299.9

99

91885.0

16

-2.33

Codon Adaptation Index

[66]

0.232

99

0.134

16

4.97*

Codon Bias Index

[66]

0.187

99

0.051

16

5.18*

Protein production rate (s -1 )

[68]

0.632

90

0.056

12

3.45*

Proteins produced per mRNA

[68]

5.733

85

1.388

11

4.07*

Transcription rate (s -1 )

[68]

0.109

85

0.040

11

2.87

Protein half-life (min)

[69]

108.5

74

177.1

13

-0.50

dN/dS

[70]

0.056

56

0.113

8

-1.95

No. orthologs in 14 organisms

[32]

8.1

94

5.8

15

1.52

No. protein-protein interactions

[71]

15.2

84

4.3

14

4.50*

Between genes

      

Sequence similarity (%)

BLAST output

54.3

50

32.5

8

4.91*

Shortest path – Functional network

[31]

1.27

48

1.63

8

-1.26

Vector similarity – Functional interactions

[31]

0.15

23

0.04

7

2.04

Vector similarity – Physical interactions

[30]

0.13

25

0.03

8

2.01

Vector similarity – Genetic interactions

See methods

0.01

26

0.07

7

-1.49

Vector similarity – KO phenotypes

[63]

0.17

10

0.11

2

0.27

Worm two-gene families (subset)

      

Length (nt)

[66]

1556

254

1359

32

1.10

Codon Adaptation Index

[64]

0.396

254

0.326

32

2.46

dN (Ka)

Analysis by [33]

0.34

 

0.50

  
  1. The table lists a selection of characteristics tested for the two sets of buffering and non-buffering yeast two-gene families, respectively. Also see Table 3 for description of the data. A small number of characteristics could also be tested for worm two-gene families, identified in published work [33]. Due to multiple hypothesis testing, a t-score > 3.26 should be considered significant at an adjusted P-value of 0.05 (Bonferroni); significant scores are marked with *. An E-value of '0' signifies an E-value that is smaller than 10-360.