ArticlePloS one2014
Genome wide association mapping of grain arsenic, copper, molybdenum and zinc in rice (Oryza sativa L.) grown at four international field sites.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
78 citing papers in PubMed.
- A comparative approach for selecting orthologous candidate genes in genome-wide association studies across multiple species.Plant physiology · 2026Article
- 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
- Multi-Experiment and Multi-Locus Genome-Wide Association Mapping for Grain Arsenic in Rice Population.Plant direct · 2025Article
- Deciphering the genetic basis of agronomic, yield, and nutritional traits in rice (Oryza sativa L.) using a saturated GBS-based SNP linkage map.Scientific reports · 2024Article
- Article
- Stability of grain zinc concentrations across lowland rice environments favors zinc biofortification breeding.Frontiers in plant science · 2024Article
- Quantitative trait loci for grain mineral element accumulation in Vietnamese rice landraces.PloS one · 2024Article
- Article
- Metabolic-GWAS provides insights into genetic architecture of seed metabolome in buckwheat.BMC plant biology · 2023Article
- Identification of Genetic Loci for Rice Seedling Mesocotyl Elongation in Both Natural and Artificial Segregating Populations.Plants (Basel, Switzerland) · 2023Article
- Unraveling the genetics underlying micronutrient signatures of diversity panel present in brown rice through genome-ionome linkages.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
- Genome-wide association analysis to delineate high-quality SNPs for seed micronutrient density in chickpea (Cicer arietinum L.).Scientific reports · 2022Article
- Genomic prediction of zinc-biofortification potential in rice gene bank accessions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Genome-Wide Association Analysis for Salt-Induced Phenotypic and Physiologic Responses in Rice at Seedling and Reproductive Stages.Frontiers in plant science · 2022Article
- Identification of QTLs/ Candidate Genes for Seed Mineral Contents in Common Bean (Frontiers in genetics · 2022Article
- Genome-Wide Association Study Reveals Genomic Regions Associated With Molybdenum Accumulation in Wheat Grains.Frontiers in plant science · 2022Article
- Potato biofortification: an effective way to fight global hidden hunger.Physiology and molecular biology of plants : an international journal of functional plant biology · 2021Review
- A high-resolution genome-wide association study of the grain ionome and agronomic traits in rice Oryza sativa subsp. indica.Scientific reports · 2021Article
- Genetic architecture of root and shoot ionomes in rice (Oryza sativa L.).TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2021Article
18 more citing papers are in PubMed but not listed here.
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Authors and funding
17 authors.
Funding
Abstract
The mineral concentrations in cereals are important for human health, especially for individuals who consume a cereal subsistence diet. A number of elements, such as zinc, are required within the diet, while some elements are toxic to humans, for example arsenic. In this study we carry out genome-wide association (GWA) mapping of grain concentrations of arsenic, copper, molybdenum and zinc in brown rice using an established rice diversity panel of ∼ 300 accessions and 36.9 k single nucleotide polymorphisms (SNPs). The study was performed across five environments: one field site in Bangladesh, one in China and two in the US, with one of the US sites repeated over two years. GWA mapping on the whole dataset and on separate subpopulations of rice revealed a large number of loci significantly associated with variation in grain arsenic, copper, molybdenum and zinc. Seventeen of these loci were detected in data obtained from grain cultivated in more than one field location, and six co-localise with previously identified quantitative trait loci. Additionally, a number of candidate genes for the uptake or transport of these elements were located near significantly associated SNPs (within 200 kb, the estimated global linkage disequilibrium previously employed in this rice panel). This analysis highlights a number of genomic regions and candidate genes for further analysis as well as the challenges faced when mapping environmentally-variable traits in a highly genetically structured diversity panel.
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