UMR 152 Pharma Dev, Université de Toulouse, IRD, UPS, 31400, Toulouse, France.
Department of Pharmacy, Universitas Islam Indonesia, Yogyakarta, 55584, Indonesia.
Chem Biodivers. 2021 Feb;18(2):e2000672. doi: 10.1002/cbdv.202000672. Epub 2021 Jan 7.
A rapid and efficient metabolomic study of Cophinforma mamane and Fusarium solani co-cultivation in time-series based analysis was developed to study metabolome variations during their fungal interactions. The fungal metabolomes were studied through the integration of four metabolomic tools: MS-DIAL, a chromatographic deconvolution of liquid-chromatography-mass spectrometry (LC/MS); MS-FINDER, a structure-elucidation program with a wide range metabolome database; GNPS, an effective method to organize MS/MS fragmentation spectra, and MetaboAnalyst, a comprehensive web application for metabolomic data analysis and interpretation. Co-cultures of C. mamane and F. solani induced different patterns of metabolite production over 10 days of incubation and induced production of five de novo compounds not occurring in monocultures. These results emphasize that co-culture in time-frame analysis is an interesting method to unravel hidden metabolome in the investigation of fungal chemodiversity.
建立了一种快速有效的基于时间序列分析的 Cophinforma mamane 和 Fusarium solani 共培养代谢组学研究方法,以研究真菌相互作用过程中代谢组的变化。通过整合四种代谢组学工具来研究真菌代谢组:MS-DIAL,一种液相色谱-质谱(LC/MS)的色谱解卷积;MS-FINDER,一个具有广泛代谢组数据库的结构解析程序;GNPS,一种有效组织 MS/MS 碎片谱的方法,以及 MetaboAnalyst,一个用于代谢组数据分析和解释的综合网络应用程序。C. mamane 和 F. solani 的共培养在 10 天的孵育过程中诱导了不同模式的代谢产物产生,并诱导产生了五种在单培养中不存在的新化合物。这些结果强调,在真菌化学生态多样性研究中,共培养时间框架分析是一种揭示隐藏代谢组的有趣方法。