ArticleBMC genomics2019
Genome wide association mapping and candidate gene analysis for hundred seed weight in soybean [Glycine max (L.) Merrill].
Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed, 36 citations in OpenAlex.
- Genome-Wide Association Study and Candidate Gene Mining for Plant Height and Main Stem Node Number in Soybean from Northwest China.Plants (Basel, Switzerland) · 2026Article
- Genome-Wide Identification of Candidate Loci Associated with the Regulation of the Protein, Oil, and Carbohydrate Content in Soybean.Plants (Basel, Switzerland) · 2026Article
- Expression genome-wide association analysis (eGWAS) identifies a candidate gene influencing fatty acid composition in soybeans.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026Article
- Natural variation of theFrontiers 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 study and fine-mapping identify a major quantitative trait locus controlling hundred-seed weight in soybean.Frontiers in plant science · 2025Article
- Salt tolerance characterization and genome-wide association study ofFrontiers in plant science · 2025Article
- Article
- Genome-Wide Association and RNA-Seq Analyses Reveal a Potential Candidate Gene Related to Oil Content in Soybean Seeds.International journal of molecular sciences · 2024Article
- Genome-wide association analysis was used to discover genes related to soybean grain weight per plant and 100-grain weight.Breeding science · 2024Article
- Genome-Wide Association Analysis of Yield-Related Traits and Candidate Genes in Vegetable Soybean.Plants (Basel, Switzerland) · 2024Article
- GWAS and WGCNA Analysis Uncover Candidate Genes Associated with Oil Content in Soybean.Plants (Basel, Switzerland) · 2024Article
- Integrating Genome-Wide Association Study, Transcriptome and Metabolome Reveal Novel QTL and Candidate Genes That Control Protein Content in Soybean.Plants (Basel, Switzerland) · 2024Article
- Molecular, genetic, and genomic basis of seed size and yield characteristics in soybean.Frontiers in plant science · 2023Review
- Genome-wide association study of soybean (Frontiers in plant science · 2023Article
- Genetic regulatory networks of soybean seed size, oil and protein contents.Frontiers in plant science · 2023Review
- 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
- Genome-wide association studies reveal novel QTLs, QTL-by-environment interactions and their candidate genes for tocopherol content in soybean seed.Frontiers in plant science · 2022Article
- Linkage and association study discovered loci and candidate genes for glycinin and β-conglycinin in soybean (Glycine max L. Merr.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe hundred seed weight (HSW) is one of the yield components of soybean [Glycine max (L.) Merrill] and is especially critical for various soybean food types. In this study, a representative sample consisting of 185 accessions was selected from Northeast China and analysed in three tested environments to determine the quantitative trait nucleotide (QTN) of HSW through a genome-wide association study (GWAS).
resultA total of 24,180 single nucleotide polymorphisms (SNPs) with minor allele frequencies greater than 0.2 and missing data less than 3% were utilized to estimate linkage disequilibrium (LD) levels in the tested association panel. Thirty-four association signals were identified as associated with HSW via GWAS. Among them, nineteen QTNs were novel, and another fifteen QTNs were overlapped or located near the genomic regions of known HSW QTL. A total of 237 genes, derived from 31 QTNs and located near peak SNPs from the three tested environments in 2015 and 2016, were considered candidate genes, were related to plant growth regulation, hormone metabolism, cell, RNA, protein metabolism, development, starch accumulation, secondary metabolism, signalling, and the TCA cycle, some of which have been found to participate in the regulation of HSW. A total of 106 SNPs from 16 candidate genes were significantly associated with HSW in soybean.
conclusionsThe identified loci with beneficial alleles and candidate genes might be valuable for the molecular network and MAS of HSW.
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