Soybean Breeding Array
"东农豆芯"系列大豆育种芯片由东北农业大学大豆遗传改良团队研发, 包括液相育种芯片(20K)固相育种芯片(10K)两大产品体系, 覆盖产量、品质、抗病、抗虫等6大育种模块共35个性状。
液相育种芯片 — 20K Liquid-phase Chip

靶向测序基因型分型(GBTS)技术,与博瑞迪生物合作研发。 通过对目标位点高深度重测序精准检测基因型,检测成本较进口芯片降低30–50%。

Type#%
SNP21,35999.24
INDEL1630.76
Total21,522100
Region#%
CDS7,74736.00
Promoter6,29429.24
Intergenic4,75222.08
Intron2,25810.49
3' UTR4632.15
5' UTR80.04
Category#%
Background14,03965.23
Functional3,95318.37
GWAS1,9138.89
Selected1,1015.12
QTL4291.99
Authenticity650.30
Wild220.10
Transgenic100.05

Performance

Detection Rate100%
Replicate Consistency99.1% – 99.5% (avg 99.2%)
Sequencing vs Chip Concordance92% – 98% (avg 97%)
固相育种芯片 — 10K Solid-state Chip

国内首款自主研发的大豆固相育种芯片,与拉索生物合作研发。 基于1700份东北地区大豆核心种质资源开发,单样本成本极低,检测周期仅需3天。

Solid-state chip architecture
Solid-state Chip BeadArray Technology — 25 mm × 75 mm substrate with microbead array
Type#%
SNP10,64098.45
INDEL1451.34
Transgenic220.20
Total10,807100
Region#%
Promoter3,89336.02
Intergenic2,69024.89
CDS2,55023.60
Intron1,31412.16
3' UTR3333.08
5' UTR50.05
Category#%
Functional3,33630.87
Background2,99327.70
GWAS2,13719.77
Selected1,21411.23
Wild6385.90
QTL4053.75
Authenticity650.30
Transgenic22

Performance

Detection Rate95.03% – 99.35% (avg 98.05%)
Sequencing vs Chip Concordance94.53% – 99.34% (avg 98.59%)
Breeding Module Design — 育种模块化设计

"东农豆芯"围绕大豆育种核心需求建立6大育种模块、共计35个性状, 推动育种从"经验型"向"设计型"转型。

Quality 5
  • Oil content
  • Protein content
  • Nutritional composition
  • Isoflavone
  • Seed characteristics
Yield 6
  • Seed weight
  • Plant architecture
  • Seed size
  • Chlorophyll content
  • Pod number
  • Leaf senescence
Disease Resistance 5
  • Phytophthora root rot
  • SMV
  • Fusarium root rot
  • Sclerotinia blight
  • Sudden Death Syndrome
Insect Resistance 6
  • SCN
  • Aphid
  • Pod borer
  • Japanese beetle
  • Root-knot nematode
  • Cutworm / Bollworm
Abiotic Stress 6
  • Drought
  • Salt
  • Flooding
  • Heavy metal
  • UV-B radiation
  • Low phosphorus
Other 6
  • Dormancy
  • Pod shattering
  • Flowering
  • Nodulation
  • Fertility
  • Regeneration
Application Scenarios
🧬 Variety Authenticity
🔬 Transgenic Detection
🌱 Marker-assisted Breeding
📊 Genomic Selection
🔗 QTL Mapping
🧑‍🌾 Derived Variety Diagnosis
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