Soybean GWAS networks for agronomy
Large-scale soybean resequencing GWAS maps genetic networks underlying major agronomic traits.
Source
Genome-wide association studies dissect the genetic networks underlying agronomical traits in soybean
Study at a glance
- Design
- Computational / modelling — GWAS of diverse soybean landraces/cultivars phenotyped across locations and years
- N
- N=809 · 809 accessions; >10 million SNPs/indels after imputation
- Population
- Diverse Glycine max landraces and cultivars
- Outcome
- Genetic networks underlying agronomical traits including flowering and yield components
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Soybean GWAS networks for agronomy
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Soybean (Glycine max).
Background Soybean ( Glycine max [L.] Merr.) is a major crop of agronomic importance as a predominant source of protein and oil [].
809 diverse accessions.
Molecular breeding has been proposed to be a powerful and effective approach for crop breeding, but requires a better understanding of the genetic architecture and networks underlying agronomical traits [, ].
What they did
Sequenced/phenotyped 809 diverse landraces and cultivars and associated millions of SNPs with traits.
What they found
GWAS loci connect into networks explaining flowering, yield components, and related agronomy.
The limits
What it doesn't show
Association is not proof of every causal polymorphism.
Key terms
- Soybean
- Glycine max crop.
- Landrace
- Traditional locally adapted variety.
- GWAS network
- Linked loci/traits graph.
- Resequencing
- Whole-genome sequencing of many lines.
- Agronomic trait
- Breeding-relevant phenotype.
- QTL
- Quantitative trait locus.
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Common questions
Accessions?
809.
Crop?
Soybean.
Variants?
Millions of SNPs.
Goal?
Genetic networks.
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