ArticleBMC genomics2021
Identification and allele mining of new candidate genes underlying rice grain weight and grain shape by genome-wide association study.
Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- GWAS meta-analysis using a graph-based pan-genome enhanced gene mining efficiency for agronomic traits in rice.Nature communications · 2025Pooled it
- Understanding complex genetic architecture of rice grain weight through QTL-meta analysis and candidate gene identification.Scientific reports · 2022Pooled it
- GWAS and Regularised Regression Identify SNPs Associated with Candidate Genes for Stage-Specific Salinity Tolerance in Rice.Plants (Basel, Switzerland) · 2026Article
- Article
- Rice QTL hotspots related with seed grain size, shape, weight, and color based on genome wide association study and linkage mapping.Scientific reports · 2025Article
- Genome-Wide Association-Based Identification of Alleles, Genes and Haplotypes Influencing Yield in Rice (International journal of molecular sciences · 2024Article
- Rice Seed Protrusion Quantitative Trait Loci Mapping through Genome-Wide Association Study.Plants (Basel, Switzerland) · 2024Article
- Identification, Fine Mapping and Application of Quantitative Trait Loci for Grain Shape Using Single-Segment Substitution Lines in Rice (Plants (Basel, Switzerland) · 2023Article
- Genome wide association analysis of root hair traits in rice reveals novel genomic regions controlling epidermal cell differentiation.BMC plant biology · 2023Article
- Genetic dissection of thousand-seed weight in linseed (Frontiers in plant science · 2023Article
- Detection of QTLs Regulating Six Agronomic Traits of Rice Based on Chromosome Segment Substitution Lines of Common Wild Rice (Biomolecules · 2022Article
- Whole genome sequencing of ASD 16 and ADT 43 to identify predominant grain size and starch associated alleles in rice.Molecular biology reports · 2022Article
- Identification of QTL for Stem Traits in Wheat (Frontiers in plant science · 2022Article
- Identification of QTLs for rice grain size and weight by high-throughput SNP markers in the IR64 x Sadri population.Frontiers in genetics · 2022Article
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Authors and funding
11 authors.
Funding
Abstract
backgroundGrain weight and grain shape are important agronomic traits that affect the grain yield potential and grain quality of rice. Both grain weight and grain shape are controlled by multiple genes. The 3,000 Rice Genomes Project (3 K RGP) greatly facilitates the discovery of agriculturally important genetic variants and germplasm resources for grain weight and grain shape.
resultsAbundant natural variations and distinct phenotic differentiation among the subgroups in grain weight and grain shape were observed in a large population of 2,453 accessions from the 3 K RGP. A total of 21 stable quantitative trait nucleotides (QTNs) for the four traits were consistently identified in at least two of 3-year trials by genome-wide association study (GWAS), including six new QTNs (qTGW3.1, qTGW9, qTGW11, qGL4/qRLW4, qGL10, and qRLW1) for grain weight and grain shape. We further predicted seven candidate genes (Os03g0186600, Os09g0544400, Os11g0163600, Os04g0580700, Os10g0399700, Os10g0400100 and Os01g0171000) for the six new QTNs by high-density association and gene-based haplotype analyses. The favorable haplotypes of the seven candidate genes and five previously cloned genes in elite accessions with high TGW and RLW are also provided.
conclusionsOur results deepen the understanding of the genetic basis of grain weight and grain shape in rice and provide valuable information for improving rice grain yield and grain quality through molecular breeding.
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