ArticleNature genetics2011
Genome-wide association study of flowering time and grain yield traits in a worldwide collection of rice germplasm.
Article in Nature genetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 526 papers.
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Who cites it
526 citing papers in PubMed.
- Review
- Genomic Insights into the Genetic Diversity, Selection Signals, and Agronomic Traits of Rice (Plants (Basel, Switzerland) · 2026Article
- Genome-wide association studies for identifying SNPs and candidate genes associated with grain quality traits in rice (Oryza sativa L.).The plant genome · 2026Article
- Application of NGS Technology, Association Mapping, and Physical Mapping Technologies to Identify Candidate Genes Associated with Maize (International journal of molecular sciences · 2026Article
- Integrative multi-omics analysis reveals the domestication mechanism of black rice.National science review · 2026Article
- FAD-Linked Oxidoreductase Protein 1 (FLO1) Coordinates Grain Development and Drought Tolerance in Rice.Plants (Basel, Switzerland) · 2026Article
- GWAS and Regularised Regression Identify SNPs Associated with Candidate Genes for Stage-Specific Salinity Tolerance in Rice.Plants (Basel, Switzerland) · 2026Article
- Protein structure and selection pressure in plants: using mutation to understand the functional importance of protein structure.BMC genomics · 2026Article
- Identification of candidate genes for heat tolerance in rice by genome-wide association study and transcriptome sequencing.BMC plant biology · 2026Article
- Unraveling the Genetic Architecture of Photoperiod Sensitivity in Myanmar Rice Landraces Through Integrated GWAS and Transcriptome Analysis.International journal of molecular sciences · 2026Article
- Multi-model genome-wide association studies identify stable QTLs and candidate genes for lodging resistance inFrontiers in plant science · 2026Article
- Integrating predictive models and GWAS to identify candidate loci and genes for agronomic traits in rice.Frontiers in plant science · 2026Article
- The heterotrimeric G protein γ3 subunit, RGG3/GS3, integrates sugar-starvation and hormone-responsive signaling pathways to promote coleoptile elongation during anaerobic germination in rice.Plant molecular biology · 2025Article
- Genome-wide association study to identification of candidate genes influencing key seed traits in Perilla frutescens.BMC plant biology · 2025Article
- Integrated genomic analysis of a diverse maize population reveals novel genes and superior predictive models for ear diameter.BMC genomics · 2025Article
- Identification of major loci governing 13 agronomic traits and the fine-mapping of CaSUN29 regulating fruit length in pepper.Molecular horticulture · 2025Article
- Using Genome-Wide Association Studies to Reveal DArTseq and SNP Loci Associated with Agronomic Traits and Yield in Maize.Current issues in molecular biology · 2025Article
- Marker Metabolite-Based Multi-Omics Analysis Identifies New Loci Controlling Thousand Seed Weight in Brassica Napus.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Natural variation of GNP2 enhances grain number to benefit rice yield.Nature communications · 2025Article
- Mapping of low-nitrogen tolerance genes in Japonica rice at seedling stage by genome-wide association study.Scientific reports · 2025Article
466 more citing papers are in PubMed but not listed here.
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Authors and funding
24 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A high-density haplotype map recently enabled a genome-wide association study (GWAS) in a population of indica subspecies of Chinese rice landraces. Here we extend this methodology to a larger and more diverse sample of 950 worldwide rice varieties, including the Oryza sativa indica and Oryza sativa japonica subspecies, to perform an additional GWAS. We identified a total of 32 new loci associated with flowering time and with ten grain-related traits, indicating that the larger sample increased the power to detect trait-associated variants using GWAS. To characterize various alleles and complex genetic variation, we developed an analytical framework for haplotype-based de novo assembly of the low-coverage sequencing data in rice. We identified candidate genes for 18 associated loci through detailed annotation. This study shows that the integrated approach of sequence-based GWAS and functional genome annotation has the potential to match complex traits to their causal polymorphisms in rice.
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