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Structural annotation and discovery of toxic cyclopeptides and their analogues in lethal mushroom Amanita and Lepiota species using UPLC-HRMS and molecular networking strategy

文献类型： 外文期刊

作者： Zhao, Zhiyong 1 ; Hengchao, E. 1 ; Tian, Enjing 2 ; Fan, Tingting 1 ; Yang, Xianli 1 ; Li, Xiaobei 1 ; Zhang, Yanmei 1 ; Li, Xujiao 1 ; Chen, Ailiang 3 ; Zhou, Changyan 1 ; Zhao, Xiaoyan 1 ;

作者机构： 1.Shanghai Acad Agr Sci, Inst Agrofood Stand & Testing Technol, Lab Qual & Safety Risk Assessment Agroprod Shangha, Minist Agr & Rural Affairs, 1000 Jinqi Rd, Shanghai 201403, Peoples R China

2.Jilin Agr Univ, Engn Res Ctr, Chinese Minist Educ Edible & Med Fungi, Jilin 130118, Peoples R China

3.Chinese Acad Agr Sci, Inst Qual Stand & Testing Technol Agroprod, Key Lab Agroprod Qual & Safety, Beijing 100081, Peoples R China

4.Shanghai Acad Agr Sci, Inst Agrofood Stand & Testing Technol, 1000 Jinqi Rd, Shanghai 201403, Peoples R China

关键词： Cyclopeptide toxins; New analogues; Characteristic fragmentation pattern; Lethal mushroom; Molecular networking

期刊名称：FOOD CONTROL （ 影响因子：6.652； 五年影响因子：6.498 ）

ISSN： 0956-7135

年卷期： 2023 年 146 卷

页码：

收录情况： SCI

摘要： Foodborne poisoning caused by the cyclopeptide toxins-producing mushroom species seriously endangers human life health. In recent years discovery of new cyclopeptides is getting more attention not only for their toxicity but also for their specific bioactivity. In this study, a combined strategy using liquid chromatography tandem high resolution mass spectrometry and the feature-based molecular networking analysis was established to identify the known cyclopeptide toxins and discover new cyclopeptides in the cyclopeptide toxins-producing mushroom species. The specific fragmentation behaviors of the known cyclopeptide toxins were systematically annotated. Four new phallotoxin analogues were identified for the first time, the chemical structures of which were completely deduced. Moreover, the chemical profiles of the toxic cyclopeptides in lethal mushroom Amanita and Lepiota species were investigated by the self-built cyclopeptides database. The developed strategy could be utilized as a useful tool for identifying the cyclopeptide toxins-induced food poisoning, as well as aid in the discovery of more unknown cyclopeptides.

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