ArticleMetabolomics : Official journal of the Metabolomic Society2020
Lipidomics reveals associations between rice quality traits.
Article in Metabolomics : Official journal of the Metabolomic Society, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 40 citations in OpenAlex.
- Emerging analytical techniques for lipid profiling in food products: insights into processing effects and quality control.Food chemistry: X · 2025Review
- Metabolite Quantitative Trait Loci Mapping for Fragrance and Fatty Acid Composition in Rice (Oryza Sativa L.).Rice (New York, N.Y.) · 2025Article
- Integrative Transcriptome and Metabolome Analysis Identifies Potential Pathways Associated with Cadmium Tolerance in Two Maize Inbred Lines.Plants (Basel, Switzerland) · 2025Article
- Improving Rice Grain Quality Through Ecotype Breeding for Enhancing Food and Nutritional Security in Asia-Pacific Region.Rice (New York, N.Y.) · 2024Review
- Lipidomic analysis of grain quality variation in high quality aromaticFood chemistry: X · 2024Article
- Influence of Nitrogen-Modified Atmosphere Storage on Lipid Oxidation of Peanuts: From a Lipidomic Perspective.Foods (Basel, Switzerland) · 2024Article
- Untargeted Lipidomics Reveal Quality Changes in High-Moisture Japonica Brown Rice at Different Storage Temperatures.Foods (Basel, Switzerland) · 2023Article
- Novel Grade Classification Tool with Lipidomics for Indica Rice Eating Quality Evaluation.Foods (Basel, Switzerland) · 2023Article
- Lipidomic Profiling of Rice Bran after Green Solid-Liquid Extractions for the Development of Circular Economy Approaches.Foods (Basel, Switzerland) · 2023Article
- Analysis of Related Metabolites Affecting Taste Values in Rice under Different Nitrogen Fertilizer Amounts and Planting Densities.Foods (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
- Assessment of the Characteristics of Waxy Rice Mutants Generated by CRISPR/Cas9.Frontiers in plant science · 2022Article
- Down-Regulation ofFoods (Basel, Switzerland) · 2021Article
- Promoting Human Nutrition and Health through Plant Metabolomics: Current Status and Challenges.Biology · 2020Review
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Authors and funding
4 authors at 2 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionLipids are a diverse group of macromolecules that occur in rice grains and are known to impact rice grain properties. Identifying the relationships between specific lipids and traits of quality is important to improve varietal selection for high quality rice.
objectivesUsing untargeted lipidomics, this study aims to understand the role of lipids on different traits of quality by identifying the genotypic effect of lipids and their impact on traits of cooking and eating quality of a rice mapping population.
methodsLipids from milled rice grains of three sets of rice samples were screened by ultra-performance liquid chromatography-mass spectrometry (UPLC-MS) in the positive ionisation mode. Lipid features were putatively identified using analytical standards and online databases. Multivariate statistics were carried out to identify the lipid profile of varieties across three experiments. Correlation analysis was carried out between lipid features and 12 quality traits across a rice mapping population that segregates for grain physical and texture-associated traits.
resultsThousands of features in rice grain lipids were detected, and were grouped into six categories-fatty acyls, glycerolipids, glycerophospholipids, sphingolipids, sterol lipids and prenol lipids. A strong genotypic basis for the lipid profile was observed among the four varieties grown under five nitrogen treatments. Clear differentiation in lipid profiles between waxy and non-waxy rice was observed. Strong correlations were observed for putative lipids that form the amylose-lipid complex and with amylose content and viscosity parameters.
conclusionsThis study demonstrates the strength of untargeted lipidomics in putatively determining features that differentiate varieties from each other, and reveals the role of specific lipids on the physical and textural quality of rice.
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