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Discovery of fernane-type triterpenoids from Diaporthe discoidispora using genome mining and HSQC-based SMART technology
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作者 Yajing Wang Yongfu Li +5 位作者 Yan Dong Chunyan Yu Chengwei Liu Chang Li Yi Sun Yuehu Pei 《Chinese Journal of Natural Medicines》 2025年第3期368-376,共9页
In this study,we employed a combination of genome mining and heteronuclear single quantum coherence(HSQC)-based small molecule accurate recognition technology(SMART)technology to search for fernane-type triterpenoids.... In this study,we employed a combination of genome mining and heteronuclear single quantum coherence(HSQC)-based small molecule accurate recognition technology(SMART)technology to search for fernane-type triterpenoids.Initially,potential endophytic fungi were identified through genome mining.Subsequently,fine fractions containing various fernane-type triterpenoids were selected using HSQC data collection and SMART prediction.These triterpenoids were then obtained through targeted isolation and identification.Finally,their antifungal activity was evaluated.As a result,three fernane-type triterpenoids,including two novel compounds,along with two new sesquiterpenes and four known compounds were isolated from one potential strain,Diaporthe discoidispora.Their structures were elucidated through analysis of high-resolution electrospray ionization mass spectrometry(HR-ESI-MS)and nuclear magnetic resonance(NMR)spectroscopic data.The absolute configurations were determined using single-crystal X-ray diffraction analysis and electron capture detector(ECD)analysis.Compound 3 exhibited moderate antifungal activity against Candida albicans CMCC 98001 and Aspergillus niger. 展开更多
关键词 fernane TRITERPENOID Genome mining SMART technology Endophytic fungi Diaporthe discoidispora
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