Discovery of fernane-type triterpenoids from Diaporthe discoidispora using genome mining and HSQC-based SMART technology.
10.1016/S1875-5364(25)60837-5
- Author:
Yajing WANG
1
;
Yongfu LI
1
;
Yan DONG
1
;
Chunyan YU
2
;
Chengwei LIU
2
;
Chang LI
3
,
4
;
Yi SUN
5
;
Yuehu PEI
4
,
6
Author Information
1. Department of Medicinal Chemistry and Natural Medicine Chemistry, College of Pharmacy, Harbin Medical University, Harbin 150081, China.
2. Key Laboratory for Enzyme and Enzyme-like Material Engineering of Heilongjiang, College of Life Science, Northeast Forestry University, Harbin 150040, China.
3. Department of Medicinal Chemistry and Natural Medicine Chemistry, College of Pharmacy, Harbin Medical University, Harbin 150081, China; Key Laboratory of Gut Microbiota and Pharmacogenomics of Heilongjiang Province, College of Pharmacy, Harbin Medical University, Harbin 150081, China. Electronic address: lichang661@
4. com.
5. Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China. Electronic address: ysun@icmm.ac.cn.
6. Department of Medicinal Chemistry and Natural Medicine Chemistry, College of Pharmacy, Harbin Medical University, Harbin 150081, China. Electronic address: peiyueh@vip.
- Publication Type:Journal Article
- Keywords:
Diaporthe discoidispora;
Endophytic fungi;
Fernane;
Genome mining;
SMART technology;
Triterpenoid
- MeSH:
Triterpenes/isolation & purification*;
Antifungal Agents/isolation & purification*;
Molecular Structure;
Candida albicans/drug effects*;
Ascomycota/genetics*;
Magnetic Resonance Spectroscopy;
Aspergillus niger/drug effects*;
Genome, Fungal;
Microbial Sensitivity Tests
- From:
Chinese Journal of Natural Medicines (English Ed.)
2025;23(3):368-376
- CountryChina
- Language:English
-
Abstract:
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.
