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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