ArticleScientific reports2021
A high-resolution genome-wide association study of the grain ionome and agronomic traits in rice Oryza sativa subsp. indica.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Unveiling genetic loci and natural alleles for seed iron accumulation in adzuki bean via genome-wide association study.BMC plant biology · 2026Article
- Hit me with your best shot: combining gene editing events to deliver iron and zinc biofortified rice.Frontiers in plant science · 2026Review
- Genetic mapping of a chickpea (Cicer arietinum L.) diversity panel for mineral biofortification towards human nutrition.The plant genome · 2025Article
- 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 association study of metabolic traits in the giant duckweed Spirodela polyrhiza.Plant biology (Stuttgart, Germany) · 2025Article
- Variation at the major facilitator superfamilyFrontiers in plant science · 2025Article
- Genome-wide association analysis of grain iron and zinc in rice grown under agroclimatic sites with contrasting soil iron status.Frontiers in plant science · 2025Article
- Quantitative trait loci for grain mineral element accumulation in Vietnamese rice landraces.PloS one · 2024Article
- Mapping QTL for Mineral Accumulation and Shoot Dry Biomass in Barley under Different Levels of Zinc Supply.International journal of molecular sciences · 2023Article
- Development of 12 sets of chromosome segment substitution lines that enhance allele mining in Asian cultivated rice.Breeding science · 2023Article
- Rice biofortification: breeding and genomic approaches for genetic enhancement of grain zinc and iron contents.Frontiers in plant science · 2023Review
- QTL mapping and analysis for drought tolerance in rice by genome-wide association study.Frontiers in plant science · 2023Article
- Identifying the Genetic Basis of Mineral Elements in Rice Grain Using Genome-Wide Association Mapping.Genes · 2022Article
- Genomic prediction of zinc-biofortification potential in rice gene bank accessions.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2022Article
- Ionomic Screening of BRRI dhan84 Mutagenized Population Identifies Candidate Genes Underlying High Arsenic and Low Zinc/Cadmium Accumulation.Physiologia plantarumArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study presents a comprehensive study of the genetic bases controlling variation in the rice ionome employing genome-wide association studies (GWAS) with a diverse panel of indica accessions, each genotyped with 5.2 million markers. GWAS was performed for twelve elements including B, Ca, Co, Cu, Fe, K, Mg, Mn, Mo, Na, P, and Zn and four agronomic traits including days to 50% flowering, grain yield, plant height and thousand grain weight. GWAS identified 128 loci associated with the grain elements and 57 associated with the agronomic traits. There were sixteen co-localization regions containing QTL for two or more traits. Fourteen grain element quantitative trait loci were stable across growing environments, which can be strong candidates to be used in marker-assisted selection to improve the concentrations of nutritive elements in rice grain. Potential candidate genes were revealed including OsNAS3 linked to the locus that controls the variation of Zn and Co concentrations. The effects of starch synthesis and grain filling on multiple grain elements were elucidated through the likely involvement of OsSUS1 and OsGSSB1 genes. Overall, our study provides crucial insights into the genetic basis of ionomic variations in rice and will facilitate improvement in breeding for trace mineral content.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.