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基于非靶向脂质组学研究中国三个海域牡蛎(Crassostrea gigas)脂质特征,以追溯其地理区域来源。

Investigation of oyster Crassostrea gigas lipid profile from three sea areas of China based on non-targeted lipidomics for their geographic region traceability.

机构信息

Hainan Key Laboratory of Food Nutrition and Functional Food, College of Food Science and Engineering, Hainan University, Haikou 570228, China.

Hainan Key Laboratory of Food Nutrition and Functional Food, College of Food Science and Engineering, Hainan University, Haikou 570228, China; Collaborative Innovation Centre of Seafood Deep Processing, Dalian Polytechnic University, Dalian 116034, China; Key Laboratory of Tropical Biological Resource of Ministry of Education, Hainan Provincial Engineering Research Centre of Aquatic Resources Efficient Utilization in the South China Sea, Haikou 570228, China.

出版信息

Food Chem. 2022 Aug 30;386:132748. doi: 10.1016/j.foodchem.2022.132748. Epub 2022 Mar 21.

Abstract

The present study sought to analyze the lipid profiles of oyster Crassostrea gigas from Yellow Sea (YS), East China Sea, and South China Sea (SCS) through the untargeted lipidomics strategy based on UPLC-Q-Exactive Orbitrap mass spectrometry and multivariate statistics. The results elucidated that geographical differences had profound effects on the lipid content, composition, and lipid molecular profiles. Notably, oysters from the YS group contained the highest lipid content, including triacylglycerol, diacylglycerols, and the majority of phospholipid molecule species, while oysters from the ECS group contained most of the phosphatidylcholine species and the SCS group contained most of the sphingolipid species. Totally, 1155 lipid molecular species belonging to 21 subclasses were identified; of them, 45 lipid molecular species could serve as differential marker for lipid of oysters from different sea areas. Overall, lipidomics could be a potential approach for discrimination of lipid characters between marine shellfishes for geographical origin traceability.

摘要

本研究采用基于 UPLC-Q-Exactive Orbitrap 质谱联用技术的非靶向脂质组学策略,结合多元统计分析,分析了来自黄海(YS)、东海和南海(SCS)的牡蛎 Crassostrea gigas 的脂质谱。结果表明,地理位置差异对脂质含量、组成和脂质分子谱有深远影响。值得注意的是,YS 组牡蛎的脂质含量最高,包括三酰甘油、二酰甘油和大多数磷脂分子种类,而 ECS 组牡蛎含有最多的磷脂酰胆碱种类,SCS 组则含有最多的鞘脂种类。总共鉴定出属于 21 个亚类的 1155 种脂质分子种类;其中,45 种脂质分子种类可作为区分不同海域牡蛎脂质的差异标记物。总的来说,脂质组学可能是一种用于区分海洋贝类地理起源的潜在方法。

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