Comparative Metabolome Profiling for Revealing the Effects of Different Cooking Methods on Glutinous Rice Longjing57 (Oryza sativa L. var. Glutinosa)

Author:

Guo Zhenhua12,Cai Lijun3,Liu Chuanxue1,Zhang Yunjiang1,Wang Linan1,Liu Hao4,Feng Yanjiang1,Pan Guojun1,Ma Wendong1

Affiliation:

1. Rice Research Institute of Heilongjiang Academy of Agricultural Sciences, Jiamusi 157041, China

2. National Engineering Research Center of Plant Space Breeding, South China Agricultural University, Guangzhou 510642, China

3. Jiamusi Branch of Heilongjiang Academy of Agricultural Sciences, Jiamusi 157041, China

4. Crops Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China

Abstract

Glutinous rice (GR), an important food crop in Asia, provides prolonged energy for the human body due to its high amylopectin content. The non-volatile metabolites generated by different cooking methods that affect the nutritional value and color of GR are still poorly understood. Herein, a widely targeted metabolomics approach was used to understand the effects of different cooking methods (steaming, baking, and frying) on the metabolite profiles of GR. Compared with other treatments, steamed GR had a brighter color and significantly lower contents of total sugar, starch, amylopectin, and amylose, at 40.74%, 14.13%, 9.78%, and 15.18%, respectively. Additionally, 70, 108, and 115 metabolites were significantly altered in the steaming, baking, and frying groups respectively, and amino acid and carbohydrate metabolism were identified as the representative metabolic pathways based on KEGG annotations. Further evaluation of 14 amino acids and 12 carbohydrates in steamed GR, especially 4-aminobutyric acid, suggested its high nutraceutical value. Additionally, multivariate analysis indicated that total sugar content, amylose content, beta-alanine methyl ester hydrochloride, and 4-aminobutyric acid played a critical role in color formation in raw and cooked GR. Finally, the levels of major amino acids and carbohydrates were quantified by conventional methods to verify the reliability of the metabolome. Consequently, this in-depth understanding of metabolite profiling in normal cooking methods has provided a foundation for the processing of GR products.

Funder

Heilongjiang Province Agricultural Science and Technology Innovation Leapfrog Project Agricultural Science and Technology Basic Innovation Project—Outstanding Youth Project

Scientific Research Funds of Heilongjiang Provincial Scientific Research Institutes

Natural Science Foundation of Heilongjiang Province China

China Postdoctoral Science Foundation

Heilongjiang Postdoctoral Science Foundation

Modern Agro-industry Technology Research System

Publisher

MDPI AG

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