Kazusa DNA Research Institute, Kazusa-kamatari 2-6-7, Kisarazu, Chiba, 292-0818, Japan.
Kyoto University, Graduate School of Agriculture, Gokasho, Uji, Kyoto, 611-0011, Japan.
Sci Rep. 2017 Apr 28;7(1):1243. doi: 10.1038/s41598-017-01390-3.
Currently, in mass spectrometry-based metabolomics, limited reference mass spectra are available for flavonoid identification. In the present study, a database of probable mass fragments for 6,867 known flavonoids (FsDatabase) was manually constructed based on new structure- and fragmentation-related rules using new heuristics to overcome flavonoid complexity. We developed the FlavonoidSearch system for flavonoid annotation, which consists of the FsDatabase and a computational tool (FsTool) to automatically search the FsDatabase using the mass spectra of metabolite peaks as queries. This system showed the highest identification accuracy for the flavonoid aglycone when compared to existing tools and revealed accurate discrimination between the flavonoid aglycone and other compounds. Sixteen new flavonoids were found from parsley, and the diversity of the flavonoid aglycone among different fruits and vegetables was investigated.
目前,基于质谱的代谢组学中,可用于鉴定类黄酮的参考质谱有限。在本研究中,基于新的结构和碎片相关规则,使用新的启发式方法来克服类黄酮的复杂性,我们手动构建了一个包含 6867 种已知类黄酮(FsDatabase)的可能质量碎片数据库。我们开发了 FlavonoidSearch 系统用于类黄酮注释,该系统由 FsDatabase 和一个计算工具(FsTool)组成,使用代谢物峰的质谱作为查询自动搜索 FsDatabase。与现有工具相比,该系统在鉴定类黄酮苷元时表现出最高的准确性,并能准确区分类黄酮苷元和其他化合物。从欧芹中发现了 16 种新的类黄酮,并研究了不同水果和蔬菜中类黄酮苷元的多样性。