Skip to main content

Table 1 GO statistical analysis for analyzing transcript sequences

From: Transcription profile of soybean-root-knot nematode interaction reveals a key role of phythormones in the resistance reaction

Node

Term

Genes outside node

Genes in node

Significant

p value

GO:0055114

Oxidation-reduction process

1085

116

108

8.26E-005

GO:0006979

Response to oxidative stress

1127

74

63

0.0015

GO:0005975

Carbohydrate metabolic process

1090

111

61

0.0804

GO:0042538

Hyperosmotic salinity response

1184

17

17

0.0008

GO:0009414

Response to water deprivation

1172

29

13

0.0049

GO:0007010

Cytoskeleton organization

1148

53

8

0.0032

GO:0009813

Flavonoid biosynthetic process

1177

24

7

0.0029

GO:0009807

Lignan biosynthetic process

1195

6

6

0.0133

GO:0009266

Response to temperature stimulus

1122

79

6

0.0406

GO:0046274

Lignin catabolic process

1195

6

6

0.0675

GO:0009718

Anthocyanin biosynthetic process

1191

10

5

0.0006

GO:0009627

Systemic acquired resistance

1194

7

5

0.0073

GO:0000165

MAPK cascade

1196

5

5

0.0091

GO:0009741

Response to brassinosteroid stimulus

1195

6

5

0.0302

GO:0009699

Phenylpropanoid biosynthetic process

1165

36

3

9.85E-005

GO:0009850

Auxin metabolic process

1196

5

3

0.0154

GO:0000272

Polysaccharide catabolic process

1181

20

3

0.0485

GO:0009698

Phenylpropanoid metabolic process

1155

46

2

9.93E-005

GO:0009808

Lignin metabolic process

1185

16

2

0.01864

GO:0009938

Negative regulation of gibberellic acid mediated signaling pathway

1199

2

2

0.0624

GO:0009851

Auxin biosynthetic process

1199

2

1

0.0154

GO:0009861

Jasmonic acid and ethylene-dependent systemic resistance

1200

1

1

0.0749

  1. Gene Ontology (GO) terms identified to be enriched or depleted according to the comparison of the distribution of the gene-associated Log2FC among all differentially expressed genes classified in the GO category “biological process”. The value of Log2FC obtained by differential expression analysis (at p-value < =0.1) was used as the measure of choice to rank genes as “differentially expressed” or “not differentially expressed”. Then a Wilcoxon-rank test was performed with 1201 genes to compare the ranks of the genes in the tested GO term (Genes in node) with the ranks of the remaining genes in the top category (Genes not in node). For each comparison a p-value was obtained and a cut-off provided as the global test statistic to gauge the significance of the complete data set was used to establish the number of genes with relevant associations with each tested category (Significant).