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Genome-wide association studies for identification of QTLs and key candidate genes to improve grain quality in rice (Oryza sativa L.)

Title: Genome-wide association studies for identification of QTLs and key candidate genes to improve grain quality in rice (Oryza sativa L.)
Authors: Sachdeva, Supriya; Singh, Rakesh; Bharadwaj, Rakesh; Jain, Antil; Singh, Vikas K.; Singh, Uma Maheshwar; Kumar, Arvind; Singh, Gyanendra Pratap
Source: Sachdeva, Supriya, Rakesh Singh, Harshita Singh, Rakesh Bharadwaj, Antil Jain, Vikas K. Singh, Uma Maheshwar Singh, Arvind Kumar, and Gyanendra Pratap Singh. "Genome-wide association studies for identification of QTLs and key candidate genes to improve grain quality in rice (Oryza sativa L.)." Food Chemistry: Molecular Sciences 11 (2025): 100313.
Publisher Information: Elsevier
Publication Year: 2026
Collection: CGIAR CGSpace (Consultative Group on International Agricultural Research)
Subject Terms: rice; genome-wide association studies; grain quality; candidate genes; molecular genetics
Description: Grain quality is the key concern for rice breeders and is paramount to consumer acceptability. We characterized a diverse subset of 198 rice accessions of 3 K Rice Genome Project (RGP) for grain quality attributes, specifically glycemic index %, total dietary fibre, oil %, protein, amylose, moisture %, phytate, phenol, and starch content. A set of 5,53,229 single nucleotide polymorphism (SNP) markers obtained from the 3 K RG 1 M filtered SNP dataset used for genome wide association studies (GWAS). Consequently, we discovered 200 Quantitative trait nucleotides (QTNs) associated with the traits mentioned above distributed across the genome. These QTNs were grouped into 26 Quantitative Trait Loci (QTL) clusters, of which 20 clusters validated with at least three GWAS methods were considered reliable. Furthermore, 869 putative candidate genes were identified, many of which overlapped between quality traits. Integrating the GWAS, RNA-seq and qRT-PCR results, we finally identified two important genes (LOC_Os11g303700 and LOC_Os11g30500) associated with rice quality, and they may affect the grain quality by regulating the textural properties, appearance and eating quality. The findings of our study highlighted the role of molecular machinery in future rice breeding.
Document Type: article in journal/newspaper
File Description: application/pdf
Language: English
Relation: https://hdl.handle.net/10568/179455
Availability: https://hdl.handle.net/10568/179455
Rights: Open Access
Accession Number: edsbas.D61501AC
Database: BASE