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Updated: Jan 7, 2026

Obtaining High-Quality Transcriptome Data from Cereal Seeds by a Modified Method for Gene Expression Profiling
Published on: May 21, 2020
Identification of Novel Genetic Loci Related to 100-Seed Weight in the Korean Soybean Core Collection Using a
Ju Yeon Moon1, Sangjun Park2, Soo-Kwon Park2
1Digital Breeding Convergence Division, Department of Agricultural Biotechnology, National Institute of Agricultural Science, Rural Development Administration, Jeonju 54874, Republic of Korea.
Abstract:
Soybean [Glycine max (L.) Merr.] is a commercially important oil and protein-producing crop. This study explored genetic variation in seed traits to improve soybean productivity. Phenotypic data, including seed size, length, width, thickness, and weight, were analyzed across 344 Korean soybean accessions, identifying 100-seed weight (100SW) as one of the important yield components in soybean. Using 4,472,823 high-density single-nucleotide polymorphism (SNP) markers, a genome-wide association study detected 10 novel loci associated with 100SW on chromosomes 3, 4, and 19. Haplotype analysis revealed that the accessions with alternative alleles at nine candidate loci displayed significant variation in 100SW, either increasing or decreasing weight. Allele stacking analysis further highlighted that favorable variants, particularly on chromosomes 3 and 19, had additive genetic effects on 100SW. Functional annotations suggest these genes influence seed weight through gibberellin synthesis and developmental pathways. By leveraging high-density genomic data, this study overcomes the limitations of previous studies relying on low-density markers, offering a foundation for more efficient soybean breeding strategies. These findings offer valuable insight into marker-assisted selection, providing a foundation to enhance soybean yield and adaptability under diverse environmental conditions and addressing the growing global demand for sustainable food production.
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