Lipidomics reveals associations between rice quality traits

Concepcion, Jeanaflor Crystal T.; Calingacion, Mariafe; Garson, Mary J.; Fitzgerald, Melissa

doi:10.1007/s11306-020-01670-6

Cited by 30 publications

(11 citation statements)

References 49 publications

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“…LPLs were reported to be involved in starch crystallization, which had a physicochemical impact on the starch properties of white rice [ 15 , 32 ]. Because LPC and LPE were the major LPLs of starch lipids associated with amylose in the rice endosperm [ 5 ], in this study we focused on the fatty-acid composition changes in LPC and LPE in particular of the FAD2 DR endosperm.…”

Section: Resultsmentioning

confidence: 99%

“…Through intermolecular interactions, LPLs make major contributions to the functionality of ALCs. In this context, much work has been done on the lipids of cereal grain endosperms [ 4 , 15 , 16 , 17 ]. It is generally believed that the properties of LPLs and their constituent fatty acids are attributable to the stability and range of physicochemical properties of ALCs [ 7 ].…”

Section: Introductionmentioning

confidence: 99%

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Down-Regulation of FAD2-1 Gene Expression Alters Lysophospholipid Composition in the Endosperm of Rice Grain and Influences Starch Properties

Luo

Liu

Konik‐Rose

et al. 2021

Foods

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Small quantities of lipids accumulate in the white rice grains. These are grouped into non-starch lipid and starch lipid fractions that affect starch properties through association with starch. Lysophosphatidylcholine (LPC) and lysophosphatidylethanolamine (LPE) are two major lipid classes in the two fractions. Using high-oleic rice grains, we investigated the fatty-acid composition in flour and starch by LC-MS and evaluated its impact on starch properties. In the wild-type grain, nearly 50% of fatty acids in LPC and LPE were palmitic acid (C16:0), over 20% linoleic acid (C18:2) and less than 10% oleic acid (C18:1). In the high-oleic rice grain, C18:1 increased at the expense of C18:2 and C16:0. The compositional changes in starch lipids suggest that LPC and LPE are transported to an amyloplast with an origin from endoplasmic reticulum-derived PC and PE during endosperm development. The high-dissociation temperature of the amylose-lipid complex (ALC) and restricted starch swelling power in the high-oleic rice starch indicates that the stability of the ALC involving C18:1 is higher than that of C18:2 and C16:0. This study provides insight into the lipid deposition and starch properties of rice grains with optimized fatty-acid composition.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Down-Regulation of FAD2-1 Gene Expression Alters Lysophospholipid Composition in the Endosperm of Rice Grain and Influences Starch Properties

Luo

Liu

Konik‐Rose

et al. 2021

Foods

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“…This study found that different comparison groups have their own specific metabolites (Figure 1C), and there are differences in the number and proportion of metabolites (Figure 2). As the third most abundant nutrient in rice, lipids are considered to be an important factor affecting the quality of rice [27,28]. Lipids are also important constituents in rice and affect the eating quality [29,30].…”

Section: Discussionmentioning

confidence: 99%

Analysis of Related Metabolites Affecting Taste Values in Rice under Different Nitrogen Fertilizer Amounts and Planting Densities

Xiong

Sun

Shi³

et al. 2022

Foods

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The aim of this study was to explore the differences in metabolites related to rice quality formation under different nitrogen (N) fertilizers and planting densities. In this study, Yangnongxiang 28 was used as the experimental material with the following conditions: high nitrogen and low density (HNLD; high nitrogen: 360 kg·hm−2, low density: the row spacing of rice plants was 16 cm × 30 cm), medium nitrogen and medium density (MNMD; medium nitrogen: 270 kg·hm−2, medium density: the row spacing of rice plants was 13 cm × 30 cm), and low nitrogen and high density (LNHD; low nitrogen: 270 kg·hm−2, high density: the row spacing of rice plants was 10 cm × 30 cm). The rice quality indexes, including the processing quality, amylose content, and taste value, were compared under different treatments, and we analyzed their relationship with the metabolites. The results show that the milled rice rate of HNLD was 13.85% and was 1.89% higher than that of LNHD and MNMD, respectively. The head milled rice rate of HNLD was 32.45% and 6.39% higher than that of LNHD and MNMD, respectively. The milled rice rate and head milled rice rate of HNLD and MNMD were significantly higher than those of LNHD. This study identified 22 differential metabolites (DMs) in HNLD and LNHD, 38 DMs in HNLD and MNMD, and 23 DMs in LNHD and MNMD. Most of the identified differential metabolites were lipid metabolites, which were mainly enriched in the lipid metabolic pathways and amino acid metabolic pathways. The correlation analysis showed that the lipid metabolite physapubescin was significantly negatively correlated with the taste value. The lipid metabolites 2-undecen-1-ol, lucidenic acid F, and 8-deoxy-11,13-dihydroxygrosheimin were significantly positively correlated with the taste value. Lipids may be important substances that lead to differences in taste under different nitrogen fertilizer and density treatments.

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“…Comparative metabolomics analysis (UPLC-MS-MS) on rice bran across 17 diverse cultivars reveals 71 significant variable rice bran metabolites, among them are some nutritious compounds of human health importance (including γ-tocopherol, β-tocopherol, and γ-tocotrienol) and over 500 potential causative genes, establishing a rice gene-metabolite relationship for rice bran traits breeding [29]. Untargeted lipidomics uncovers clear variations in lipid profiles between waxy and non-waxy grains and the association of putative lipids with amylose-lipid complex and amylose contents, important traits relevant to cooking and eating quality and nutritional quality [80]. Using combined exhaustive "multi-omics", including metabolomics (GC-MS), transcriptomics, and labelfree shotgun proteomics, variable compartmentalization of nutritionally relevant pathways is found between the endosperm and the embryo in Nipponbare, which provides further directions for attempts in rice nutritional quality improvement at the organ level [71].…”

Section: Ricementioning

confidence: 99%

Promoting Human Nutrition and Health through Plant Metabolomics: Current Status and Challenges

Sun

Chen

Hong

et al. 2020

Biology

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Plant metabolomics plays important roles in both basic and applied studies regarding all aspects of plant development and stress responses. With the improvement of living standards, people need high quality and safe food supplies. Thus, understanding the pathways involved in the biosynthesis of nutritionally and healthily associated metabolites in plants and the responses to plant-derived biohazards in humans is of equal importance to meet people’s needs. For each, metabolomics has a vital role to play, which is discussed in detail in this review. In addition, the core elements of plant metabolomics are highlighted, researches on metabolomics-based crop improvement for nutrition and safety are summarized, metabolomics studies on plant natural products including traditional Chinese medicine (TCM) for health promotion are briefly presented. Challenges are discussed and future perspectives of metabolomics as one of the most important tools to promote human nutrition and health are proposed.

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Lipidomics reveals associations between rice quality traits

Cited by 30 publications

References 49 publications

Down-Regulation of FAD2-1 Gene Expression Alters Lysophospholipid Composition in the Endosperm of Rice Grain and Influences Starch Properties

Down-Regulation of FAD2-1 Gene Expression Alters Lysophospholipid Composition in the Endosperm of Rice Grain and Influences Starch Properties

Analysis of Related Metabolites Affecting Taste Values in Rice under Different Nitrogen Fertilizer Amounts and Planting Densities

Promoting Human Nutrition and Health through Plant Metabolomics: Current Status and Challenges

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