ArticleBMC genomics2015
Targeted association mapping demonstrating the complex molecular genetics of fatty acid formation in soybean.
Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
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Who cites it
29 citing papers in PubMed, 69 citations in OpenAlex.
- Hyperspectral phenotyping and GWAS identify novel QTLs for soybean photosynthetic rate.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genome-wide association study and fine-mapping identify a major quantitative trait locus controlling hundred-seed weight in soybean.Frontiers in plant science · 2025Article
- Identification of candidate genes and genomic prediction of soybean fatty acid components in two soybean populations.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Identification and Genetic Dissection of Resistance to Red Crown Rot Disease in a Diverse Soybean Germplasm Population.Plants (Basel, Switzerland) · 2024Article
- Construction of Genetic Map and QTL Mapping for Seed Size and Quality Traits in Soybean (International journal of molecular sciences · 2024Article
- Genome-Wide Detection of Quantitative Trait Loci and Prediction of Candidate Genes for Seed Sugar Composition in Early Mature Soybean.International journal of molecular sciences · 2023Article
- QTL Mapping of Palmitic Acid Content Using Specific-Locus Amplified Fragment Sequencing (SLAF-Seq) Genotyping in Soybeans (International journal of molecular sciences · 2022Article
- Identification of Loci Governing Agronomic Traits and Mutation Hotspots via a GBS-Based Genome-Wide Association Study in a Soybean Mutant Diversity Pool.International journal of molecular sciences · 2022Article
- Natural variation and underlying genetic loci of γ-oryzanol in Asian cultivated rice seeds.The plant genome · 2022Article
- Machine-Learning-Based Genome-Wide Association Studies for Uncovering QTL Underlying Soybean Yield and Its Components.International journal of molecular sciences · 2022Article
- Genome-wide association analysis of sucrose and alanine contents in edamame beans.Frontiers in plant science · 2022Article
- Genome-Wide Identification of Candidate Genes Underlying Soluble Sugar Content in Vegetable Soybean (Frontiers in plant science · 2022Article
- Identification of QTN-by-environment interactions and their candidate genes for soybean seed oil-related traits using 3VmrMLM.Frontiers in plant science · 2022Article
- Article
- Identification of glutathione transferase gene associated with partial resistance to Sclerotinia stem rot of soybean using genome-wide association and linkage mapping.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Identification of SNP markers associated with soybean fatty acids contents by genome-wide association analyses.Molecular breeding : new strategies in plant improvement · 2021Article
- Genome-Wide Association Studies of Soybean Yield-Related Hyperspectral Reflectance Bands Using Machine Learning-Mediated Data Integration Methods.Frontiers in plant science · 2021Article
- Novel Genomic Regions ofFrontiers in plant science · 2021Article
- Genome-wide association analysis of sucrose concentration in soybean (Glycine max L.) seed based on high-throughput sequencing.The plant genome · 2020Article
- Quantitative trait loci analysis of seed oil content and composition of wild and cultivated soybean.BMC plant biology · 2020Article
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe relative abundance of five dominant fatty acids (FAs) (palmitic, stearic, oleic, linoleic and linolenic acids) is a major factor determining seed quality in soybean.
methodsTo clarify the currently poorly understood genetic architecture of FAs in soybean, targeted association analysis was conducted in 421 diverse accessions phenotyped in three environments and genotyped using 1536 pre-selected SNPs.
resultsThe population of 421 soybean accessions displayed significant genetic variation for each FA. Analysis of the molecular data revealed three subpopulations, which reflected a trend depending on latitude of cultivation. A total of 37 significant (p < 0.01) associations with FAs were identified by association mapping analysis. These associations were represented by 33 SNPs (occurring in 32 annotated genes); another four SNPs had a significant association with two different FAs due to pleiotropic interactions. The most significant associations were cross-verified by known genes/QTL or consistency across cultivation year and subpopulations.
conclusionThe detected marker-trait associations represent a first important step towards the implementation of molecular-marker-based selection of FA composition with the potential to substantially improve the seed quality of soybean with benefits for human health and for food processing.
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