ArticleBMC genomics2014
A genome-wide association study of seed protein and oil content in soybean.
Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 195 papers, 1 of them a synthesis that pooled it.
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Who cites it
195 citing papers in PubMed, 1 synthesis or guideline pooled it, 648 citations in OpenAlex.
- Pooled it
- GWAS-based identification of a candidate gene and development of a predictive KASP marker for seed protein and oil contents in soybean.Genes & genomics · 2026Article
- Article
- Genetic dissection of protein content in cowpea using custom-made NIRS equations and GWAS as a model for nutritional breeding and undergraduate research training.G3 (Bethesda, Md.) · 2026Article
- Uncovering superior alleles and genetic loci for yield-related traits in mungbean (Vigna radiata L. Wilczek) through a genome-wide association study.BMC plant biology · 2026Article
- Genomic Signatures of Artificial Selection Underlying Oil Content Differentiation in Chinese and Uruguayan Soybean Germplasm.Plants (Basel, Switzerland) · 2026Article
- Development of user-selectable diverse sets of cultivated and wild soybean germplasm for genetic and breeding applications.The plant genome · 2026Article
- Genome-wide association study and transcriptomic analysis reveal new genes for unsaturated fatty acid contents in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Joint analysis of GWAS and TILLING reveals the negative role of GLABRA2 in controlling seed oil content in Brassica napus.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Enhanced soybean salt tolerance and oil content via marker-assisted pyramiding of GmSALT3 and high-oil QTLs.BMC genomics · 2026Article
- QTL-seq analysis of seed protein quantity and quality traits in two soybean recombinant inbred line populations.Frontiers in plant science · 2026Article
- Using Structural Equation Models to Interpret Genome-Wide Association Studies for Morphological and Productive Traits in Soybean [Plants (Basel, Switzerland) · 2025Article
- Enhancing Oil Content in Oilseed Crops: Genetic Insights, Molecular Mechanisms, and Breeding Approaches.International journal of molecular sciences · 2025Review
- High resolution QTL mapping and candidate gene mining for seed oil content and fatty acid composition in soybean.BMC plant biology · 2025Article
- Innovative screening for mutants affected in seed oil/protein allocation identifies TRANSPARENT TESTA7 as a regulator of oil accumulation.The Plant journal : for cell and molecular biology · 2025Article
- Integration of GWAS and transcriptome and haplotype analyses to identify QTNs and candidate genes controlling oil content in soybean seeds.Scientific reports · 2025Article
- Soybean genome‑wide association study of seed weight, protein, and oil content in the southeastern USA.Molecular genetics and genomics : MGG · 2025Article
- Characterization of a G. max × G. soja nested association mapping population and identification of loci controlling seed composition traits from wild soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genomic and phenomic prediction for soybean seed yield, protein, and oil.The plant genome · 2025Article
- Balancing act: progress and prospects in breeding soybean varieties with high oil and seed protein content.Frontiers in plant science · 2025Review
135 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAssociation analysis is an alternative to conventional family-based methods to detect the location of gene(s) or quantitative trait loci (QTL) and provides relatively high resolution in terms of defining the genome position of a gene or QTL. Seed protein and oil concentration are quantitative traits which are determined by the interaction among many genes with small to moderate genetic effects and their interaction with the environment. In this study, a genome-wide association study (GWAS) was performed to identify quantitative trait loci (QTL) controlling seed protein and oil concentration in 298 soybean germplasm accessions exhibiting a wide range of seed protein and oil content.
resultsA total of 55,159 single nucleotide polymorphisms (SNPs) were genotyped using various methods including Illumina Infinium and GoldenGate assays and 31,954 markers with minor allele frequency >0.10 were used to estimate linkage disequilibrium (LD) in heterochromatic and euchromatic regions. In euchromatic regions, the mean LD (r2) rapidly declined to 0.2 within 360 Kbp, whereas the mean LD declined to 0.2 at 9,600 Kbp in heterochromatic regions. The GWAS results identified 40 SNPs in 17 different genomic regions significantly associated with seed protein. Of these, the five SNPs with the highest associations and seven adjacent SNPs were located in the 27.6-30.0 Mbp region of Gm20. A major seed protein QTL has been previously mapped to the same location and potential candidate genes have recently been identified in this region. The GWAS results also detected 25 SNPs in 13 different genomic regions associated with seed oil. Of these markers, seven SNPs had a significant association with both protein and oil.
conclusionsThis research indicated that GWAS not only identified most of the previously reported QTL controlling seed protein and oil, but also resulted in narrower genomic regions than the regions reported as containing these QTL. The narrower GWAS-defined genome regions will allow more precise marker-assisted allele selection and will expedite positional cloning of the causal gene(s).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.