ArticleBMC plant biology2020
Identification of quantitative trait nucleotides and candidate genes for soybean seed weight by multiple models of genome-wide association study.
Article in BMC plant biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.
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Who cites it
30 citing papers in PubMed, 62 citations in OpenAlex.
- Identification of genetic loci and domestication gene GmZFP1 associated with soybean hypocotyl elongation in seedling stage by genome-wide association study.BMC plant biology · 2026Article
- Integrative haplotype and SNP-based GWAS supports the identification of stable genomic loci controlling yield-related traits in soybean.Frontiers in plant science · 2026Article
- Article
- Identification of candidate loci regulating seed-associated traits in soybean using genome-wide association study and image-based high-throughput phenotyping.Frontiers in plant science · 2026Article
- Identification of Novel Genetic Loci Related to 100-Seed Weight in the Korean Soybean Core Collection Using a Genome-Wide Association Study.International journal of molecular sciences · 2025Article
- Genome-wide association analyses for revealing QTN, QTN-by-environment and QTN-by-QTN interactions in soybean phenology.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- A R2R3-MYB Transcription Factor ofInternational journal of molecular sciences · 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
- Integrated Transcriptomic and Proteomic Characterization of a Chromosome Segment Substitution Line Reveals the Regulatory Mechanism Controlling the Seed Weight in 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
- Genome-Wide Association Study (GWAS) for Identifying SNPs and Genes Related to Phosphate-Induced Phenotypic Traits in Tomato (Plants (Basel, Switzerland) · 2024Article
- Comparative transcriptomic analysis reveals the molecular mechanism underlying seedling heterosis and its relationship with hybrid contemporary seeds DNA methylation in soybean.Frontiers in plant science · 2024Article
- Multi-environment QTL mapping identifies major genetic loci influencing soybean main stem node architecture.PeerJ · 2024Article
- Cloning of the SoybeanPlants (Basel, Switzerland) · 2023Article
- Genome-wide association study and high-quality gene mining related to soybean protein and fat.BMC genomics · 2023Article
- Genome-wide association study of soybean (Frontiers in plant science · 2023Article
- Identification of major quantitative trait loci and candidate genes for seed weight in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2023Article
- Identification of major genomic regions for soybean seed weight by genome-wide association study.Molecular breeding : new strategies in plant improvement · 2022Article
- Genetic mapping and genomic prediction of sclerotinia stem rot resistance to rapeseed/canola (Brassica napus L.) at seedling stage.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Genetic and Genomic Resources for Soybean Breeding Research.Plants (Basel, Switzerland) · 2022Review
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6 authors at 1 institution in 1 country.
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Abstract
backgroundSeed weight is a complex yield-related trait with a lot of quantitative trait loci (QTL) reported through linkage mapping studies. Integration of QTL from linkage mapping into breeding program is challenging due to numerous limitations, therefore, Genome-wide association study (GWAS) provides more precise location of QTL due to higher resolution and diverse genetic diversity in un-related individuals.
resultsThe present study utilized 573 breeding lines population with 61,166 single nucleotide polymorphisms (SNPs) to identify quantitative trait nucleotides (QTNs) and candidate genes for seed weight in Chinese summer-sowing soybean. GWAS was conducted with two single-locus models (SLMs) and six multi-locus models (MLMs). Thirty-nine SNPs were detected by the two SLMs while 209 SNPs were detected by the six MLMs. In all, two hundred and thirty-one QTNs were found to be associated with seed weight in YHSBLP with various effects. Out of these, seventy SNPs were concurrently detected by both SLMs and MLMs on 8 chromosomes. Ninety-four QTNs co-localized with previously reported QTL/QTN by linkage/association mapping studies. A total of 36 candidate genes were predicted. Out of these candidate genes, four hub genes (Glyma06g44510, Glyma08g06420, Glyma12g33280 and Glyma19g28070) were identified by the integration of co-expression network. Among them, three were relatively expressed higher in the high HSW genotypes at R5 stage compared with low HSW genotypes except Glyma12g33280. Our results show that using more models especially MLMs are effective to find important QTNs, and the identified HSW QTNs/genes could be utilized in molecular breeding work for soybean seed weight and yield.
conclusionApplication of two single-locus plus six multi-locus models of GWAS identified 231 QTNs. Four hub genes (Glyma06g44510, Glyma08g06420, Glyma12g33280 & Glyma19g28070) detected via integration of co-expression network among the predicted candidate genes.
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