ArticleFrontiers in plant science2019
Genome Wide Association Study and Genomic Selection of Amino Acid Concentrations in Soybean Seeds.
Article in Frontiers in plant science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 59 citations in OpenAlex.
- Phenotypic and genetic dissection of seed shape related traits in soybean (Frontiers in plant science · 2026Article
- Advancements in Molecular Breeding Techniques for Soybeans.Plants (Basel, Switzerland) · 2025Review
- Pod Dehiscence in Soybean: Genome Wide Association Study and Genomic Prediction.Plants (Basel, Switzerland) · 2025Article
- Genomic and Transcriptomic Profiling of Amino Acid Compositions in Common Carp Fillets.Animals : an open access journal from MDPI · 2025Article
- Improving genomic prediction of vitamin C content in spinach using GWAS-derived markers.BMC genomics · 2025Article
- Network analysis combined with genome-wide association study helps identification of genes related to amino acid contents in soybean.BMC genomics · 2025Article
- Genome and GWAS analyses for soybean cyst nematode resistance in USDA world-wide common bean (Frontiers in plant science · 2025Article
- Article
- Genome-Wide Association Study for Seed Yield of Tepary Bean Using Whole-Genome Resequencing.International journal of molecular sciences · 2024Article
- New Insights into the Genetic Basis of Lysine Accumulation in Rice Revealed by Multi-Model GWAS.International journal of molecular sciences · 2024Article
- Selective Genotyping and Phenotyping for Optimization of Genomic Prediction Models for Populations with Different Diversity.Plants (Basel, Switzerland) · 2024Article
- Soybean genetics, genomics, and breeding for improving nutritional value and reducing antinutritional traits in food and feed.The plant genome · 2023Review
- Mapping Genetic Variation in Arabidopsis in Response to Plant Growth-Promoting BacteriumMicroorganisms · 2023Article
- Genetic dissection reveals the complex architecture of amino acid composition in soybean seeds.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Ensuring Global Food Security by Improving Protein Content in Major Grain Legumes Using Breeding and 'Omics' Tools.International journal of molecular sciences · 2022Review
- Genomic prediction models for traits differing in heritability for soybean, rice, and maize.BMC plant biology · 2022Article
- Genome-Wide Association Study and Genomic Selection for Proteinogenic Methionine in Soybean Seeds.Frontiers in plant science · 2022Article
- Multi-Trait Multi-Environment Genomic Prediction for End-Use Quality Traits in Winter Wheat.Frontiers in genetics · 2022Article
- Recent advancement in OMICS approaches to enhance abiotic stress tolerance in legumes.Frontiers in plant science · 2022Review
- Genetic variation and marker-trait association affect the genomic selection prediction accuracy of soybean protein and oil content.Frontiers in plant science · 2022Article
Corrections and comments
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Authors and funding
10 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soybean is a major source of protein for human consumption and animal feed. Releasing new cultivars with high nutritional value is one of the major goals in soybean breeding. To achieve this goal, genome-wide association studies of seed amino acid contents were conducted based on 249 soybean accessions from China, US, Japan, and South Korea. The accessions were evaluated for 15 amino acids and genotyped by sequencing. Significant genetic variation was observed for amino acids among the accessions. Among the 231 single nucleotide polymorphisms (SNPs) significantly associated with variations in amino acid contents, fifteen SNPs localized near 14 candidate genes involving in amino acid metabolism. The amino acids were classified into two groups with five in one group and seven amino acids in the other. Correlation coefficients among the amino acids within each group were high and positive, but the correlation coefficients of amino acids between the two groups were negative. Twenty-five SNP markers associated with multiple amino acids can be used to simultaneously improve multi-amino acid concentration in soybean. Genomic selection analysis of amino acid concentration showed that selection efficiency of amino acids based on the markers significantly associated with all 15 amino acids was higher than that based on random markers or markers only associated with individual amino acid. The identified markers could facilitate selection of soybean varieties with improved seed quality.
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