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Table 2 Bioinformatics analysis of candidate genes

From: Genome-wide association study of rust traits in orchardgrass using SLAF-seq technology

SLAF marker

E_value

Nearest gene

Predict Function

Marker10747

5.00E-18

Cytochrome P450

Resist pathogenic bacterial

Marker11029

2.00E-12

Cytochrome P450

Resist pathogenic bacterial

Marker13729a

2.00E-17

Cytochrome P450

Resist pathogenic bacterial

Marker1700a

5.00E-13

Cytochrome P450

Resist pathogenic bacterial

Marker3124

5.00E-18

Cytochrome P450

Resist pathogenic bacterial

Marker33680

5.00E-18

Cytochrome P450

Resist pathogenic bacterial

Marker40081

2.00E-11

Cytochrome P450

Resist pathogenic bacterial

Marker4015

2.00E-27

Cytochrome P450

Resist pathogenic bacterial

Marker4728

2.00E-27

Cytochrome P450

Resist pathogenic bacterial

Marker5389

1.00E-08

Cytochrome P450

Resist pathogenic bacterial

Marker12565

6.00E-22

Pc68LrkC4

Activate chemical reactions

Marker2312943

8.00E-16

Pc68LrkC4

Activate chemical reactions

Marker2649

1.00E-24

Prolamin gene

Regulate stripe rust resistance

Marker10408a

1.00E-08

Prolamin gene

Regulate stripe rust resistance

Marker21044

8.00E-21

TaCab1

Regulate stripe rust resistance

  1. Note: ameans that makers have also been found in bulk analysis