ArticleMolecular genetics and genomics : MGG2019
Association mapping reveals multiple QTLs for grain protein content in rice useful for biofortification.
Article in Molecular genetics and genomics : MGG, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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Who cites it
21 citing papers in PubMed.
- Pyramiding QTLs for durable sheath blight resistance in the popular rice variety 'Maudamani'.Scientific reports · 2026Article
- From Gene to Plate: Molecular Insights into and Health Implications of Rice (International journal of molecular sciences · 2025Review
- Mapping Genomic Regions for Grain Protein Content and Quality Traits in Milled Rice (Plants (Basel, Switzerland) · 2025Article
- A Simple Narrative Review of Progress on the Processing and Utilization of Functional Rice.Foods (Basel, Switzerland) · 2024Review
- Profiling and Improvement of Grain Quality Traits for Consumer Preferable Basmati Rice in the United States.Plants (Basel, Switzerland) · 2024Review
- Transfer of Stress Resilient QTLs and Panicle Traits into the Rice Variety, Reeta through Classical and Marker-Assisted Breeding Approaches.International journal of molecular sciences · 2023Article
- Article
- Mapping the Genomic Regions Controlling Germination Rate and Early Seedling Growth Parameters in Rice.Genes · 2023Article
- Generation of High-Value Genomic Resource in Rice: A "Subgenomic Library" of Low-Light Tolerant Rice Cultivar Swarnaprabha.Biology · 2023Article
- Cloning and Molecular Characterization of theAntibiotics (Basel, Switzerland) · 2023Article
- Molecular Breeding for Incorporation of Submergence Tolerance and Durable Bacterial Blight Resistance into the Popular Rice Variety 'Ranidhan'.Biomolecules · 2023Article
- Association mapping for protein, total soluble sugars, starch, amylose and chlorophyll content in rice.BMC plant biology · 2022Article
- QTL and Candidate Genes: Techniques and Advancement in Abiotic Stress Resistance Breeding of Major Cereals.International journal of molecular sciences · 2022Review
- Detection of Genomic Regions Controlling the Antioxidant Enzymes, Phenolic Content, and Antioxidant Activities in Rice Grain through Association Mapping.Plants (Basel, Switzerland) · 2022Article
- Post-genomics revolution in the design of premium quality rice in a high-yielding background to meet consumer demands in the 21st century.Plant communications · 2022Review
- Unraveling the genomic regions controlling the seed vigour index, root growth parameters and germination per cent in rice.PloS one · 2022Article
- Population genetic structure and association mapping for iron toxicity tolerance in rice.PloS one · 2021Article
- Genome-wide association study uncovers genomic regions associated with grain iron, zinc and protein content in pearl millet.Scientific reports · 2020Article
- Genome-wide association mapping revealed numerous novel genomic loci for grain nutritional and yield-related traits in rice (3 Biotech · 2020Article
- Association of molecular markers with physio-biochemical traits related to seed vigour in rice.Physiology and molecular biology of plants : an international journal of functional plant biology · 2020Article
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Authors and funding
8 authors.
Funding
Abstract
Rice is the staple food for majority of the global population. But, rice grain has low protein content (PC). Mapping of QTLs controlling grain PC is essential for enhancement of the trait through breeding programs. A shortlisted panel population for grain protein content was studied for genetic diversity, population structure and association mapping for grain PC. Phenotyping results showed a wide variation for grain PC. The panel population showed a moderate level of genetic diversity estimated through 98 molecular markers. AMOVA and structure analysis indicated linkage disequilibrium for grain PC and deviation of Hardy-Weinberg's expectation. The analysis showed 15% of the variation among populations and 73% among individuals in the panel population. STRUCTURE analysis categorized the panel population into three subpopulations. The analysis also revealed a common primary ancestor for each subpopulation with few admix individuals. Marker-trait association using 98 molecular markers detected 7 strongly associated QTLs for grain PC by both MLM and GLM analysis. Three novel QTLs qPC3.1, qPC5.1 and qPC9.1 were detected for controlling the grain PC. Four reported QTLs viz., qPC3, QPC8, qPC6.1 and qPC12.1 were validated for use in breeding programs. Reported QTLs, qPC6, qPC6.1 and qPC6.2 may be same QTL controlling PC in rice. A very close marker RM407 near to protein controlling QTL, qProt8 and qPC8, was detected. The study provided clue for simultaneous improvement of PC with high grain yield in rice. The strongly associated markers with grain PC, namely qPC3, qPC3.1, qPC5.1, qPC6.1, qPC8, qPC9.1 and qPC12.1, will be useful for their pyramiding for developing protein rich high yielding rice.
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