ArticleTAG. Theoretical and applied genetics. Theoretische und angewandte Genetik2023
Identification of major quantitative trait loci and candidate genes for seed weight in soybean.
Article in TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 17 citations in OpenAlex.
- Genome-wide signatures of selection and genetic diversity reveal the impact of modern breeding on Brazilian soybean.Molecular breeding : new strategies in plant improvement · 2026Article
- Genome-Wide Identification of the Phosphoglycerate Kinases and Functional Analysis ofPlants (Basel, Switzerland) · 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
- Unravelling the genetics of heat-responsive fruit traits in pepper [Capsicum annuum L.] via GWAS under subtropical climates.BMC plant biology · 2026Article
- 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
- Mining genes, genomic selection and simulation breeding on hundred-seed weight using a four-way RIL population.Frontiers in plant science · 2026Article
- Natural variation of theFrontiers in plant science · 2026Article
- Identification of quantitative trait loci qPL6 for petiole length in soybean.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025Article
- Genetic Mapping and Transcriptomic Analysis of Sepal-Derived Seed Shape in Spinach.International journal of molecular sciences · 2025Article
- Image-based GWAS identifies the genetic architecture of seed-related traits in a soybean mutant population.Molecular breeding : new strategies in plant improvement · 2025Article
- A R2R3-MYB Transcription Factor ofInternational journal of molecular sciences · 2025Article
- Combined BSA-seq and RNA-seq approaches reveal candidate genes associated with seed weight inFrontiers 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
- Genome-wide association study and fine-mapping identify a major quantitative trait locus controlling hundred-seed weight in soybean.Frontiers in plant science · 2025Article
- Co-localization of quantitative trait loci for pod and kernel traits and development of molecular marker for kernel weight on chromosome Arahy05 in peanut (Arachis hypogaea L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2024Article
- Genome-wide association analysis was used to discover genes related to soybean grain weight per plant and 100-grain weight.Breeding science · 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
- Construction of a genetic map and QTL mapping of seed size traits in soybean.Frontiers in genetics · 2023Article
- Molecular, genetic, and genomic basis of seed size and yield characteristics in soybean.Frontiers in plant science · 2023Review
Corrections and comments
- Erratum issued
Authors and funding
10 authors at 1 institution in 1 country.
Funding
Abstract
key messageFour major quantitative trait loci for 100-seed weight were identified in a soybean RIL population under five environments, and the most likely candidate genes underlying these loci were identified. Seed weight is an important target of soybean breeding. However, the genes underlying the major quantitative trait loci (QTL) controlling seed weight remain largely unknown. In this study, a soybean population of 300 recombinant inbred lines (RILs) derived from a cross between PI595843 (PI) and WH was used to map the QTL and identify candidate genes for seed weight. The RIL population was genotyped through whole genome resequencing, and phenotyped for 100-seed weight under five environments. A total of 38 QTL were detected, and four major QTL, each explained at least 10% of the variation in 100-seed weight, were identified. Six candidate genes within these four major QTL regions were identified by analyses of their tissue expression patterns, gene annotations, and differential gene expression levels in soybean seeds during four developmental stages between two parental lines. Further sequence variation analyses revealed a C to T substitution in the first exon of the Glyma.19G143300, resulting in an amino acid change between PI and WH, and thus leading to a different predicted kinase domain, which might affect its protein function. Glyma.19G143300 is highly expressed in soybean seeds and encodes a leucine-rich repeat receptor-like protein kinase (LRR-RLK). Its predicted protein has typical domains of LRR-RLK family, and phylogenetic analyses reveled its similarity with the known LRR-RLK protein XIAO (LOC_Os04g48760), which is involved in controlling seed size. The major QTL and candidate genes identified in this study provide useful information for molecular breeding of new soybean cultivars with desirable seed weight.
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