海洋真菌Talaromyces sp.HK1-18的嗜氮酮类化合物化学多样性研究
Chemical diversity of azaphilones from the marine-derived fungus Talaromyces sp.HK1-18
薛嘉诚 1李中辉 2郝宝聪 1郑瑶瑶 3朱夏濠 1陈智鑫 1陈敏4
作者信息
- 1. 扬州大学环境科学与工程学院,海洋科学与技术研究所,江苏扬州 225127
- 2. 扬州大学环境科学与工程学院,海洋科学与技术研究所,江苏扬州 225127;中国海洋大学医药学院,海洋药物教育部重点实验室,山东青岛 266003
- 3. 中国海洋大学医药学院,海洋药物教育部重点实验室,山东青岛 266003
- 4. 扬州大学环境科学与工程学院,海洋科学与技术研究所,江苏扬州 225127;江苏海洋大学,江苏省海洋生物资源与环境重点实验室,江苏连云港 222005
- 折叠
摘要
基于GNPS的质谱-分子网络策略是快速识别己知天然产物和发现新颖化合物的有效方法.本文利用分子网络技术研究了海洋真菌Talaromyces sp.HK1-18发酵产物中的嗜氮酮类化合物的化学多样性.综合采用硅胶柱色谱和高效液相色谱等色谱分离技术以及核磁共振和高分辨质谱等波谱解析技术从真菌HK1-18发酵产物中分离并鉴定了 3个线型三环嗜氮酮化合物sequoiamonacins A～C(2a、2b、1);继而以其质谱为指导,从该真菌的全分子网络中提取了 sequoiamonacin类嗜氮酮化合物的分子聚簇;通过解析该聚簇中各母离子的MS/MS(二级质谱)碎片,成功预测了 7个嗜氮酮化合物的化学结构(3～9),其中sequoiamonacins E～J(4～9)为新化合物,并揭示了该类化合物的MS/MS裂解规律.化合物1具有一定的抗炎活性,其能抑制脂多糖(LPS)诱导的小鼠巨噬细胞RAW264.7中白细胞介素1α(IL-1α)的产生,质量浓度为12.5 μg·mL-1时,抑制率达29％.
Abstract
GNPS-based mass spectrum-molecular networks is an effective strategy for rapidly identifying known natural products and discovering novel structures.The chemical diversity of azaphilones from the fermentation extracts of Talaromyces sp.HK1-18 was studied by molecular network technique.Three linear tricyclic azaphilones,sequoiamonacins A-C(2a,2b,1),were isolated by silica gel column chromatography and high performance liquid chromatography from the extracts of the fungal strain of HK1-18,and their structures were identified by nuclear magnetic resonance and high-resolution mass spectrometry.Guided by the mass spectra of sequoiamonacins A-C(2a,2b,1),the cluster of sequoiamonacinoid analogues was discovered from the full molecular networking of HK1-18.By analyzing the MS/MS fragments of each parent ion in this cluster,7 azaphilones(3-9)included 6 new ones(4-9)were predicted successfully.Then the MS/MS cracking regularity of this type of azaphilones was revealed.Compound 1 showed anti-inflammatory activity,which can inhibit the production of interleukin-1α(IL-1α)in lipopolysaccharide(LPS)-induced mouse macrophage RAW264.7,with an inhibitory rate of 29％at the concentration of 12.5 μg·mL-1.
关键词
海洋真菌/嗜氮酮/分子网络/结构预测/sequoiamonacinKey words
marine-derived fungus/azaphilone/molecular network/structure prediction/sequoiamonacin引用本文复制引用
基金项目
国家自然科学基金(81703411)
江苏海洋大学江苏省海洋生物资源与环境重点实验室开放基金(SH20231201)
出版年
2024
NETL
NSTL
万方数据