ArticleRice (New York, N.Y.)2025
Metabolite Quantitative Trait Loci Mapping for Fragrance and Fatty Acid Composition in Rice (Oryza Sativa L.).
Article in Rice (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Developing Quick Screening Method to Identify Rice Cultivars with Unique Aromatic Features.ACS omega · 2026Article
- Impacts of high-temperature and humidity transportation on rice quality: an integrated analysis of microbial community succession and flavor compound alterations.Frontiers in nutrition · 2026Article
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Authors and funding
3 authors.
Funding
Abstract
backgroundFragrance is a premium trait of grain quality in the traditional, Jasmine-style rice (Oryza sativa L.) variety Phka Rumduol (PRD). Rice fragrance is a combination of various volatile compounds with characteristic odours and flavours that can be traced back to fatty acids. Given the complexity of fragrance phenotype, the use of a robust phenotyping platform in identifying metabolite quantitative trait loci (mQTL) is essential to providing the most suitable set of genetic markers associated with desirable fragrance metabolites and their fatty acid origins in PRD-derived rice breeding lines.
resultsUsing combined untargeted metabolomics via GC×GC-TOF-MS, targeted fatty acid analysis with GC-MS, mQTL for individual volatile compounds and fatty acids were identified in a SNP-genotyped F
conclusionOur results demonstrate the ability of untargeted metabolomics to reveal the uniqueness of the fragrance profile of individual rice breeding lines in a mapping population which would allow for improved precision in marker-assisted selection. The various mQTLs verified in this study reaffirm the need for more in-depth metabolite-based selection incorporated in rice breeding. The information from this research is valuable for rice breeding and food quality improvement programs.
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