ArticleBMC plant biology2020
Genome-wide association studies of ionomic and agronomic traits in USDA mini core collection of rice and comparative analyses of different mapping methods.
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 23 papers.
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Who cites it
23 citing papers in PubMed.
- A Genome‑wide Association Study of the Grain Ionome in Rice Oryza Sativa Ssp. Japonica under Two Diverse Water Management Systems.Rice (New York, N.Y.) · 2025Article
- Genome-wide identification of QTNs and candidate genes in Ethiopian sorghum (Sorghum bicolor (L.) moench) landraces using SNP-based approaches.BMC genomic data · 2025Article
- Multi-locus genome-wide association mapping for major agronomic and yield-related traits in sorghum (Sorghum bicolor (L.) moench) landraces.BMC genomics · 2025Article
- Multi-locus genome wide association study uncovers genetics of fresh seed dormancy in groundnut.BMC plant biology · 2024Article
- Genetic background influences mineral accumulation in rice straw and grains under different soil pH conditions.Scientific reports · 2024Article
- Additive and Dominance Genome-Wide Association Studies Reveal the Genetic Basis of Heterosis Related to Growth Traits of Duhua Hybrid Pigs.Animals : an open access journal from MDPI · 2024Article
- Genome-wide association study of the loci and candidate genes associated with agronomic traits in Amomum villosum Lour.PloS one · 2024Article
- Genome-Wide Association Studies of Biluochun Tea Plant Populations in Dongting Mountain and Comprehensive Identification of Candidate Genes Associated with Core Agronomic Traits by Four Analysis Models.Plants (Basel, Switzerland) · 2023Article
- E-GWAS: an ensemble-like GWAS strategy that provides effective control over false positive rates without decreasing true positives.Genetics, selection, evolution : GSE · 2023Article
- Genome-wide association study reveals genomic loci influencing agronomic traits in Ethiopian sorghum (Molecular breeding : new strategies in plant improvement · 2023Article
- Integrated multi-locus genome-wide association studies and transcriptome analysis for seed yield and yield-related traits inFrontiers in plant science · 2023Article
- A genome-wide association study identifies novel players in Na and Fe homeostasis in Arabidopsis thaliana under alkaline-salinity stress.The Plant journal : for cell and molecular biology · 2023Article
- Identifying the Genetic Basis of Mineral Elements in Rice Grain Using Genome-Wide Association Mapping.Genes · 2022Article
- Genetic basis underlying tiller angle in rice (Oryza sativa L.) by genome-wide association study.Plant cell reports · 2022Article
- Temporal and environmental factors interact with rootstock genotype to shape leaf elemental composition in grafted grapevines.Plant direct · 2022Article
- Identification of genomic loci regulating grain iron content inFood and energy security · 2022Article
- Article
- Multi-locus genome-wide association studies for five yield-related traits in rice.BMC plant biology · 2021Article
- Genetic architecture of root and shoot ionomes in rice (Oryza sativa L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
- Ionomic Approaches for Discovery of Novel Stress-Resilient Genes in Plants.International journal of molecular sciences · 2021Review
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8 authors.
Funding
Abstract
backgroundRice is an important human staple food vulnerable to heavy metal contamination leading to serious concerns. High yield with low heavy metal contamination is a common but highly challenging goal for rice breeders worldwide due to lack of genetic knowledge and markers.
resultsTo identify candidate QTLs and develop molecular markers for rice yield and heavy metal content, a total of 191 accessions from the USDA Rice mini-core collection with over 3.2 million SNPs were employed to investigate the QTLs. Sixteen ionomic and thirteen agronomic traits were analyzed utilizing two univariate (GLM and MLM) and two multivariate (MLMM and FarmCPU) GWAS methods. 106, 47, and 97 QTLs were identified for ionomics flooded, ionomics unflooded, and agronomic traits, respectively, with the criterium of p-value < 1.53 × 10
conclusionsWhile 49 previously reported QTLs/genes were rediscovered, over 200 new QTLs for ionomic and agronomic traits were found in the rice genome. Moreover, multiple new candidate genes for agronomic and ionomic traits were identified. This research provides novel insights into the genetic basis of both ionomic and agronomic variations in rice, establishing the foundation for marker development in breeding and further investigation on reducing heavy-metal contamination and improving crop yields. Finally, the comparative analysis of the GWAS methods showed that each method has unique features and different methods can complement each other.
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