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收获时间对粳稻中非挥发性代谢物的影响

Effect of Harvest Time on Non-Volatile Metabolites in Japonica Rice.

作者信息

Teng Mengnan, Xing Xiaoting, Jiang Pengli, Duan Xiaoliang, Zhang Dong, Sun Hui, Zhao Chunfang, Liu Xingquan, Yao Zhigang, Kawano Motonobu

机构信息

Academy of National Food and Strategic Reserves Administration, Beijing 100037, China.

College of Food and Health, Zhejiang A&F University, Hangzhou 311302, China.

出版信息

Foods. 2025 Mar 31;14(7):1224. doi: 10.3390/foods14071224.

Abstract

A large number of non-volatile metabolites are produced during the growth of rice; however, few studies have focused on the changes in these metabolites at different harvest times. In this study, Nangeng 5718 (a rice variety) was taken as the research object to study the changes in rice metabolites at different harvest times. Liquid chromatography mass spectrometry (LC-MS) was used to analyze the non-targeted metabolomics of rice at different harvest times in Nanjing, Huai'an, and Lianyungang in the Jiangsu Province of China. The results showed that 2111 metabolites were annotated by the human metabolome database (HMDB), accounting for 94.96% of the total number of metabolites. Rice metabolites included one categories, including 312 fatty acyls, 275 organooxygen compounds, 261 carboxylic acids and derivatives, etc. The results of the Kyoto encyclopedia of genes and genomes (KEGG) pathway showed that autophagy-other, ABC transporters, and glycerophospholipid metabolism had a great effect on rice heading to harvest. The experiments showed that L-histidine in Nangeng 5718 was upregulated. These results provide comprehensive insights into the relationship between rice harvest time and changes in metabolites.

摘要

水稻生长过程中会产生大量非挥发性代谢产物;然而,很少有研究关注这些代谢产物在不同收获时期的变化。本研究以南粳5718(一个水稻品种)为研究对象,研究不同收获时期水稻代谢产物的变化。采用液相色谱-质谱联用(LC-MS)技术对中国江苏省南京、淮安和连云港不同收获时期的水稻进行非靶向代谢组学分析。结果表明,人类代谢组数据库(HMDB)注释出2111种代谢产物,占代谢产物总数的94.96%。水稻代谢产物包括一个类别,其中有312种脂肪酰基、275种有机氧化合物、261种羧酸及其衍生物等。京都基因与基因组百科全书(KEGG)通路结果表明,自噬-其他、ABC转运蛋白和甘油磷脂代谢对水稻抽穗至收获有很大影响。实验表明,南粳5718中的L-组氨酸上调。这些结果为水稻收获时间与代谢产物变化之间的关系提供了全面的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c4b3/11988309/2b5dddebdb36/foods-14-01224-g001.jpg

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