ArticleMolecular breeding : new strategies in plant improvement2022
Identification of major genomic regions for soybean seed weight by genome-wide association study.
Article in Molecular breeding : new strategies in plant improvement, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed.
- Integrative genomics and zero-shot deep learning-based phenotyping reveal the genetic architecture of seed traits in mungbean (Vigna radiata L.).The plant genome · 2026Article
- Genetic architecture of phenological, morphological, and phytochemical traits in Cannabis landraces.The plant genome · 2026Article
- Fine mapping and candidate gene analysis of a major QTL qHSW_11 for seed weight in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Genetic and epigenetic mechanisms underlying cadmium (Cd) stress responses in soybean cultivars.Plant cell reports · 2026Article
- Transcriptome-Wide Association Uncovers LncRNAs Controlling Seed Weight in Soybean.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Identification of candidate genes for watermelon (Molecular breeding : new strategies in plant improvement · 2025Article
- A R2R3-MYB Transcription Factor ofInternational journal of molecular sciences · 2025Article
- GWAS analysis revealed genomic loci and candidate genes associated with the 100-seed weight in high-latitude-adapted soybean germplasm.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- 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 development of KASP markers for soybean pod-related traits using GWAS.Frontiers in plant science · 2025Article
- Identification of superior haplotypes and candidate gene for seed size-related traits in soybean (Molecular breeding : new strategies in plant improvement · 2025Article
- Article
- Candidate genes for alkali tolerance identified by genome-wide association study at the seedling stage in rice (Oryza sativa L.).Scientific reports · 2024Article
- Genome-Wide Association Analysis of Yield-Related Traits and Candidate Genes in Vegetable Soybean.Plants (Basel, Switzerland) · 2024Article
- Identification of the domestication gene GmCYP82C4 underlying the major quantitative trait locus for the seed weight in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Identification of Single Nucleotide Polymorphic Loci and Candidate Genes for Seed Germination Percentage in Okra under Salt and No-Salt Stresses by Genome-Wide Association Study.Plants (Basel, Switzerland) · 2024Article
- Novel genetic resources associated with sucrose and stachyose content through genome-wide association study in soybean (Frontiers in plant science · 2023Article
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6 authors.
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Abstract
The hundred-seed weight (HSW) is an important yield component and one of the principal breeding traits in soybean. More than 250 quantitative trait loci (QTL) for soybean HSW have been identified. However, most of them have a large genomic region or are environmentally sensitive, which provide limited information for improving the phenotype in marker-assisted selection (MAS) and identifying the candidate genes. Here, we utilized 281 soybean accessions with 58,112 single nucleotide polymorphisms (SNPs) to dissect the genetic basis of HSW in across years in the northern Shaanxi province of China through one single-locus (SL) and three multi-locus (ML) genome-wide association study (GWAS) models. As a result, one hundred and fifty-four SNPs were detected to be significantly associated with HSW in at least one environment via SL-GWAS model, and 27 of these 154 SNPs were detected in all (three) environments and located within 7 linkage disequilibrium (LD) block regions with the distance of each block ranged from 40 to 610 Kb. A total of 15 quantitative trait nucleotides (QTNs) were identified by three ML-GWAS models. Combined with the results of different GWAS models, the 7 LD block regions associated with HSW detected by SL-GWAS model could be verified directly or indirectly by the results of ML-GWAS models. Eleven candidate genes underlying the stable loci that may regulate seed weight in soybean were predicted. The significantly associated SNPs and the stable loci as well as predicted candidate genes may be of great importance for marker-assisted breeding, polymerization breeding, and gene discovery for HSW in soybean. Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-022-01310-y.
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