ArticlePlants (Basel, Switzerland)2024
GWAS and WGCNA Analysis Uncover Candidate Genes Associated with Oil Content in Soybean.
Article in Plants (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- 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
- Betaine Downregulates RARRES1 to Alleviate Cartilage Fibrosis and Promote Hyaline Cartilage Repair.International journal of molecular sciences · 2026Article
- Soybean MYB transcription factors GmMYB73 and GmMYB85 regulate lipid biosynthesis through lncRNA-mediated mechanisms.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Integrated WGCNA and TO-GCN analysis reveals pathways and genes underlying salt tolerance in Sesbania cannabina.BMC plant biology · 2026Article
- Integration of GWAS and WGCNA reveals novel candidate genes for cottonseed oil content in Gossypium hirsutum L.BMC plant biology · 2026Article
- Impact of Varying Soybean Oil Concentrations on the Cytokine Profile of Skeletal Muscle and Liver of Pigs: A Systems Biology Approach.Animal genetics · 2026Article
- Transcriptomic and DNA methylation insights into polyploidy-enhanced heat tolerance in rice (Oryza sativa L.).Plant physiology · 2026Article
- Genome-wide detection of superior haplotypes for seed oil and protein content in Northeast China soybean (Frontiers in plant science · 2026Article
- Genome-wide association mapping and haplotype analysis reveal genetic architecture of seed fatty acid compositions in 1,550 diverse soybean accessions.BMC plant biology · 2025Article
- Genome-Wide Identification and Analysis of the Fatty Acid Export Family Revealed the Role ofPlants (Basel, Switzerland) · 2025Article
- Isolation and identification of core-genes in barley roots under low phosphorus stress.Molecular biology reports · 2025Article
- Integration of GWAS and transcriptome and haplotype analyses to identify QTNs and candidate genes controlling oil content in soybean seeds.Scientific reports · 2025Article
- Identification of candidate genes associated with resistance to aflatoxin production in peanut through genetic mapping and transcriptome analysis.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genome-Wide Association Study on Imputed Genotypes of 180 Eurasian SoybeanPlants (Basel, Switzerland) · 2025Article
- Using WGCNA and transcriptome profiling to identify hub genes for salt stress tolerance in germinating soybean seeds.Frontiers in plant science · 2025Article
- Genome-wide association study revealed some new candidate genes associated with flowering and maturity time of soybean in Central and West Siberian regions of Russia.Frontiers in plant science · 2024Article
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8 authors.
Funding
Abstract
Soybean vegetable oil is an important source of the human diet. However, the analysis of the genetic mechanism leading to changes in soybean oil content is still incomplete. In this study, a total of 227 soybean materials were applied and analyzed by a genome-wide association study (GWAS). There are 44 quantitative trait nucleotides (QTNs) that were identified as associated with oil content. A total of six, four, and 34 significant QTN loci were identified in Xiangyang, Hulan, and Acheng, respectively. Of those, 26 QTNs overlapped with or were near the known oil content quantitative trait locus (QTL), and 18 new QTNs related to oil content were identified. A total of 594 genes were located near the peak single nucleotide polymorphism (SNP) from three tested environments. These candidate genes exhibited significant enrichment in tropane, piperidine, and pyridine alkaloid biosynthesiss (ko00960), ABC transporters (ko02010), photosynthesis-antenna proteins (ko00196), and betalain biosynthesis (ko00965). Combined with the GWAS and weighted gene co-expression network analysis (WGCNA), four candidate genes (
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