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中国精品科技期刊2020
韩蓉,马燕,李圣杰,等. 基于非靶向代谢组学分析不同品种新疆大果沙棘代谢物的差异[J]. 华体会体育,2025,46(4):19−29. doi: 10.13386/j.issn1002-0306.2024050420.
引用本文: 韩蓉,马燕,李圣杰,等. 基于非靶向代谢组学分析不同品种新疆大果沙棘代谢物的差异[J]. 华体会体育,2025,46(4):19−29. doi: 10.13386/j.issn1002-0306.2024050420.
HAN Rong, MA Yan, LI Shengjie, et al. Differences in Metabolites of Different Varieties from Xinjiang Large-fruit Sea Buckthorn as Analyzed by Non-targeted Metabolomics[J]. Science and Technology of Food Industry, 2025, 46(4): 19−29. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024050420.
Citation: HAN Rong, MA Yan, LI Shengjie, et al. Differences in Metabolites of Different Varieties from Xinjiang Large-fruit Sea Buckthorn as Analyzed by Non-targeted Metabolomics[J]. Science and Technology of Food Industry, 2025, 46(4): 19−29. (in Chinese with English abstract). doi: 10.13386/j.issn1002-0306.2024050420.

基于非靶向代谢组学分析不同品种新疆大果沙棘代谢物的差异

Differences in Metabolites of Different Varieties from Xinjiang Large-fruit Sea Buckthorn as Analyzed by Non-targeted Metabolomics

  • 摘要: 为探究不同品种新疆大果沙棘代谢产物的差异性,采用超高效液相色谱-质谱联用技术(UPLC-QTOF-MS)结合多元统计分析法和通路富集分析对6种新疆大果沙棘样品(‘混果’、‘巨人’、‘深秋红’、‘无刺丰’、‘向阳’和‘状元黄’)进行非靶向代谢组学研究。结果表明,代谢组学分析共得到334种代谢产物。依据log2FC绝对值≥1和错误发现率(FDR)<0.05分析,‘混果’与‘巨人’共筛选出112种差异代谢物;‘混果’与‘深秋红’间筛选出118种差异代谢物;‘混果’和‘无刺丰’共筛选出67种差异代谢物;‘混果’和‘向阳’共筛选出160种差异代谢物;‘混果’和‘状元黄’共筛选出126种差异代谢物。代谢通路富集分析表明,不同大果沙棘的差异代谢物主要富集在不饱和脂肪酸生物合成、脂肪酸生物合成、色氨酸代谢、黄酮和黄酮醇生物合成等通路上。基于VIP值>1、log2FC绝对值≥1和FDR<0.05筛选标准,发现共有差异代谢物5种,且大果沙棘中脂质和类脂质分子、苯丙烷及聚酮类化合物的总体丰度较高,占比分别在38%~81%和15%~49%之间,其中芥酸酰胺、亚油酸、棕榈酸、水仙苷、异鼠李素-3-O-葡萄糖苷、芦丁等可能是鉴别不同新疆大果沙棘的关键代谢物。非靶向代谢组学可从整体水平上阐明不同品种新疆大果沙棘的代谢差异,为新疆大果沙棘品种选育和加工利用提供了科学依据。

     

    Abstract: This experiment aimed to investigate the differences in metabolites of different varieties from Xinjiang large-fruit sea buckthorn, ultra high performance liquid chromatography-mass spectrometry (UPLC-QTOF-MS) coupled with multivariate statistical analysis and pathway enrichment analysis were used to characterize the metabolites of six Xinjiang large-fruit sea buckthorn species ('Mixed Fruit', 'Giant', 'Shenqunhon', 'Wucifeng', 'Xiangyang' and 'Zhuangyuan Yellow') were subjected to non-targeted metabolomics study. The results showed that a total of 334 metabolites were obtained from the metabolomic analysis. Based on log2FC absolute value≥1 and FDR<0.05 analysis, a total of 112 differential metabolites were screened between 'Mixed Fruit' and 'Giant'. 'Mixed Fruit' and 'Shenqunhon' screened a total of 118 differential metabolites. 'Mixed Fruit' and 'Wucifeng' screened a total of 67 differential metabolites. A total of 160 differential metabolites were screened between 'Mixed Fruit' and 'Xiangyang' and a total of 126 differential metabolites were screened between 'Mixed Fruit' and 'Zhuangyuan Yellow'. The metabolic pathway enrichment analysis showed that the differential metabolites of different large-fruit sea buckthorns were mainly enriched in the pathways of unsaturated fatty acid biosynthesis, fatty acid biosynthesis, tryptophan metabolism, and flavonoid and flavonol biosynthesis. Based on the VIP value>1, log2FC absolute value≥1 and FDR<0.05 screening criteria, a total of five differential metabolites were found, and overall high abundance and lipid-like molecules, phenylpropanes and polyketides were found in sea buckthorn, ranging from 38% to 81% and 15% to 49%, respectively, among which erucic acid amide, linoleic acid, palmitic acid, narcissin, isorhamnetin-3-O-glucoside, rutin, etc. might be the key metabolites to identify different Xinjiang large-fruit sea buckthorn. Non-targeted metabolomics can elucidate the metabolic differences of different varieties of Xinjiang large-fruit sea buckthorn at the overall level, which provides scientific basis for the selection and breeding of Xinjiang large-fruit sea buckthorn varieties and their processing and utilization.

     

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