FENG Yuchao, YANG Hongzhi, AN Yu, et al. Analysis on the Difference of Daohuaxiang Rice Metabolites in Different Producing Areas[J]. Science and Technology of Food Industry, 2022, 43(1): 10−20. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021050103.
Citation: FENG Yuchao, YANG Hongzhi, AN Yu, et al. Analysis on the Difference of Daohuaxiang Rice Metabolites in Different Producing Areas[J]. Science and Technology of Food Industry, 2022, 43(1): 10−20. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2021050103.

Analysis on the Difference of Daohuaxiang Rice Metabolites in Different Producing Areas

More Information
  • Received Date: May 12, 2021
  • Available Online: December 01, 2021
  • Based on the metabolomic technique of GC-MS, the metabolites and metabolic differential mechanism of rice from Ning'an and Wuchang city were studied. SIMCA and R software were used for multivariate statistical analysis of the data. The results showed that the place of production had an influence on the quantity, content, type and proportion of the metabolites of Daohuaxiang rice. A total of 127 metabolites were identified in rice samples from the two regions. A total of 22 different metabolites were screened out through the analysis of the differences between the samples from the two regions. And it was found that the origin had the most significant influence on the contents of fatty acids and their derivatives. The results of metabolic pathway analysis showed that the main mechanism of rice metabolism difference in different producing areas was the metabolism of fatty acids. Linoleic acid, palmitic acid and fumaric acid were the three key metabolites. And the difference of metabolites type and content was related to rice quality. The research analyzes the different mechanisms of rice metabolism in different producing areas from the aspect of metabolite composition, which can provide theoretical support for the regional differentiation of rice production and the traceability of agricultural products.
  • [1]
    WANG N N, FENG X, SUNG Y P, et al. Gas chromatography combined with stoichiometry to distinguish rice storage time and origin[J]. Analysis and Testing Journal,2013,32:1227−1231.
    [2]
    LIU C J, XIE Y H, LI J, et al. The eating quality of rice has different regions and the comparative study of chemical composition[J]. J Food Sci,2013,34:165−169.
    [3]
    CHEN T, ZHAO Y, ZHANG W, et al. Variation of the light stable isotopes in the superior and inferior grains of rice(Oryza sativa L.) with different geographical origins[J]. Food Chemistry,2016,209:95−98. doi: 10.1016/j.foodchem.2016.04.029
    [4]
    CHUNG I M, KIM J K, LEE K J, et al. Geographic authentication of Asian rice (Oryza sativa L.) using multi-elemental and stable isotopic data combined with multivariate analysis[J]. Food Chemistry,2018,240:840−849. doi: 10.1016/j.foodchem.2017.08.023
    [5]
    PASQUINI, CELIO. Near infrared spectroscopy: A mature analytical technique with new perspectives-a review[J]. Analytica Chimica Acta,2018,1026:8−36. doi: 10.1016/j.aca.2018.04.004
    [6]
    ARIYAMA K, SHINOZAKI M, KAWASAKI A. Determination of the geographic origin of rice by chemometrics with strontium and lead isotope ratios and multielement concentrations[J]. Journal of Agricultural & Food Chemistry,2012,60(7):1628−1634.
    [7]
    KUKUSAMUDE C, KONGSRI S. Elemental and isotopic profiling of Thai jasmine rice(Khao Dawk Mali 105) for discrimination of geographical origins in Thung Kula Rong Hai area, Thailand[J]. Food Control,2018,91:357−364. doi: 10.1016/j.foodcont.2018.04.018
    [8]
    李红, 田福林, 刘成雁, 等. 气相色谱-串联质谱法测定不同产地大米中的角鲨烯[J]. 分析测试学报,2011,30(10):1179−1182. [LI H, TIAN F L, LIU C Y, et al. Determination of squalene in rices from different areas by gas chromatography-tandem mass spectrometry[J]. Journal of Instrumental Analysis,2011,30(10):1179−1182. doi: 10.3969/j.issn.1004-4957.2011.10.020
    [9]
    PANKIN D, KOLESNIKOV I, VASILEVA A, et al. Raman fingerprints for unambiguous identification of organotin compounds[J]. Spectrochimica Acta Part A Molecular & Biomolecular Spectroscopy,2018,204:158.
    [10]
    ZHU L, SUN J, WU G, et al. Identification of rice varieties and determination of their geographical origin in China using Raman spectroscopy[J]. Journal of Cereal Science,2018,82:175−182. doi: 10.1016/j.jcs.2018.06.010
    [11]
    BRYANT R J, MCCLUNG A M. Volatile profiles of aromatic and non-aromatic rice cultivars using SPME/GC-MS[J]. Food Chemistry,2010,124(2):501−513.
    [12]
    KYU D, PHUOC N, WON S. Non-destructive profiling of volatile organic compounds using HS-SPME/GC-MS and its application for the geographical discrimination of white rice[J]. Journal of Food & Drug Analysis,2018,26(1):260.
    [13]
    CALINGACION M N, BOUALAPHANH C, DAYGON V D, et al. A genomics and multi-platform metabolomics approach to identify new traits of rice quality in traditional and improved varieties[J]. Metabolomics,2012,8(5):771−783. doi: 10.1007/s11306-011-0374-4
    [14]
    CHEN W, GONG L, GUO Z, et al. A novel integrated method for large-scale detection, identification, and quantification of widely-targeted metabolites: Application in the study of rice metabolomics[J]. Molecular plant,2013,6(6):1769−1780. doi: 10.1093/mp/sst080
    [15]
    JUNG ES, LEE S, LIM SH, et al. Metabolite profiling of the short-term responses of rice leaves(Oryza sativa cv. Ilmi) cultivated under different LED lights and its correlations with antioxidant activities[J]. Plant Science,2013,210:61−69. doi: 10.1016/j.plantsci.2013.05.004
    [16]
    FENG Y C, FU T X, ZHANG L Y, et al. Research on differential metabolites in distinction of rice(Oryza sativa L.) origin based on GC-MS[J]. Journal of Chemistry,2019,7:1−7.
    [17]
    王玲. 转基因水稻的代谢组学研究[D]. 北京: 北京化工大学, 2013.

    WANG L. Metabonomics research of genetically modifed rice[D]. Beijing: Beijing University of Chemical Technology, 2013.
    [18]
    程建华, 桑志红, 李海静, 等. 基于GC-TOF/MS技术的转Bt基因大米代谢组学研究[J]. 分析测试学报,2016,35(10):1217−1224. [CHENG J H, SANG Z H, LI H J, et al. Metabolomics analysis of Bt-transgenic and parental rice based on gas chormatography-mass spectrometry[J]. Journal of Istrumental Analysis,2016,35(10):1217−1224. doi: 10.3969/j.issn.1004-4957.2016.10.001
    [19]
    ZHOU J, WANG S Y, CHANG Y W, et al. Development of a gas chromatography-mass spectrometry method for the metabolomic study of rice(Oryza sativa L.) grain[J]. Chinese Journal of Chromatography,2012,30(10):1037−1042.
    [20]
    KANEHISA M. KEGG for representation and analysis of molecular networks involving diseases and drugs[J]. Nucleic Acids Research,2010,38(1):355−360.
    [21]
    CHENG J, SUN Y Y, SHI Y H, et al. Branched-chain amino acids regulate plant growth by affecting the homeostasis of mineral elements in rice[J]. Science China Life Sciences,2019,62:1107−1110. doi: 10.1007/s11427-019-9552-8
    [22]
    LI Y L, LI D D, GUO Z L, et al. Os ACOS12, an orthologue of Arabidopsis acyl-CoA synthetase5, plays an important role in pollen exine formation and anther development in rice[J]. BMC Plant Biology,2016,16(1):256. doi: 10.1186/s12870-016-0943-9
    [23]
    YANG X J, LIANG W Q, CHEN M J, et al. Rice fatty acyl- CoA synthetase Os ACOS12 is required for tapetum programmed cell death and male fertility[J]. Planta,2017,246(1):1−18. doi: 10.1007/s00425-017-2706-8
    [24]
    ZHANG D S, LIANG W Q, YUAN Z, et al. Tapetum degeneration retardation is critical for aliphatic metabolism and gene regulation during rice pollen development[J]. Molecular Plant,2008,1(4):599−610. doi: 10.1093/mp/ssn028
    [25]
    KIM N H, KWAK J, JI Y B, et al. Changes in lipid substances in rice during grain development[J]. Phytochemistry,2015,116:170−179. doi: 10.1016/j.phytochem.2015.05.004
    [26]
    TUFVESSON F, WAHLGREN M, ELIASSON A C. Formation of amylose-lipid complexes and effects of temperature treatment: Part 2: Fatty acids[J]. Starch Starke,2003,55(3/4):138−149.
    [27]
    刘海, 赵欢, 何佳芳, 等. 稻米营养品质影响因素研究进展[J]. 贵州农业科学,2013,41(6):85−89. [LIU H, ZHAO H, HE J F, et al. Advances in the influencing factors of rice nutritional quality[J]. Guizhou Agricultural Sciences,2013,41(6):85−89. doi: 10.3969/j.issn.1001-3601.2013.06.025
    [28]
    王海涛. 影响稻谷脂肪酸值测定的因素分析[J]. 现代食品,2017(13):74. [WANG H T. Analysis of the factors affecting the determination of fatty acids in rice[J]. Modern Food,2017(13):74.
    [29]
    钟一平. 稻谷脂肪酸值测定的影响因素分析[J]. 粮食科技与经济,2017,42(4):52−53. [ZHONG Y P. Analysis of factors the determination of fatty acid in rice[J]. Grain Science and Technology and Economy,2017,42(4):52−53.
    [30]
    许光利. 稻米脂类对品质的影响及脂类代谢对高温弱光的响应[D]. 雅安: 四川农业大学, 2017.

    XU G L. Studies on effect of lipid on rice quality and lipid metabolism in response to high temperature and weak light stresses[D]. Yaan: Sichuan Agricultural University, 2017.
  • Cited by

    Periodical cited type(5)

    1. 贾孝荣,张桂芳,徐贵静,史亚丽,史彦斌. 沙米茎秆和沙米全粉饼干对肥胖模型大鼠的减肥效果研究. 甘肃中医药大学学报. 2025(01): 14-19 .
    2. 陈悦,刘政恒,李傲强,王依欣,张欣悦,高路. 基于酶制剂水解及益生菌发酵的杂粮代餐粉的品质提升. 粮食与油脂. 2024(04): 23-28 .
    3. 黄玉敏,韩富娟,韩立宏. 不同及发其酵酚时类间物对质沙抗米氧甜化醅活营性养、的感影官响品质. 中国粮油学报. 2024(01): 75-82 .
    4. 高路,刘政恒,胡良焱,董卓馨,陈艺,焦振. 基于线性规划的老年人群杂粮代餐粉的配方设计. 沈阳师范大学学报(自然科学版). 2024(03): 234-240 .
    5. 高路,胡良焱,陈悦,古桑白珍,单秀峰. 基于线性规划的高膳食纤维减肥代餐粉的配方设计. 沈阳师范大学学报(自然科学版). 2022(03): 231-236 .

    Other cited types(3)

Catalog

    Article Metrics

    Article views (216) PDF downloads (28) Cited by(8)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return