A new lanostane-type triterpenoid from the marine shellfish symbiotic fungus Ceriporia lacerata CD7-5
文献类型：期刊论文
| 作者 | Fang, Sheng-Tao ; Miao, Feng-Ping; Yin, Xiu-Li; Ji, Nai-Yun
|
| 刊名 | NATURAL PRODUCT RESEARCH
 |
| 出版日期 | 2022-12-01 |
| 页码 | 7 |
| ISSN号 | 1478-6419 |
| 关键词 | Marine fungus lanostane triterpenoid Ceriporia lacerata trametenolic acid |
| DOI | 10.1080/14786419.2022.2154345 |
| 通讯作者 | Ji, Nai-Yun(nyji@yic.ac.cn) |
| 英文摘要 | One new lanostane-type triterpenoid, 3 beta-acetoxy-7,11-dioxolanosta-8,24-dien-21-oic acid (1), together with six known analogues (2-7), were isolated from the cultures of a marine fungus Ceriporia lacerata CD7-5, which was derived from the shellfish Ostrea denselamellosa. Their structures were determined by detailed analysis of spectroscopic data and comparison with the literature reported. The biological activities of these lanostane triterpenoids against marine-derived microalgae, zooplankton, and pathogenic bacteria were also evaluated in this study. |
| WOS关键词 | HS-ZJUT-C13A ; ENDOPHYTE |
| WOS研究方向 | Chemistry ; Pharmacology & Pharmacy |
| 语种 | 英语 |
| WOS记录号 | WOS:000893583600001 |
| 资助机构 | Taishan Scholar Project Special Funding ; Yantai Program for Science and Technique Development |
| 源URL | [http://ir.yic.ac.cn/handle/133337/31900]  |
| 专题 | 海岸带生物学与生物资源利用重点实验室 海岸带生物资源高效利用研究与发展中心 |
| 通讯作者 | Ji, Nai-Yun |
| 作者单位 | Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai, Peoples R China |
| 推荐引用方式 GB/T 7714 | Fang, Sheng-Tao,Miao, Feng-Ping,Yin, Xiu-Li,et al. A new lanostane-type triterpenoid from the marine shellfish symbiotic fungus Ceriporia lacerata CD7-5[J]. NATURAL PRODUCT RESEARCH,2022:7. |
| APA | Fang, Sheng-Tao,Miao, Feng-Ping,Yin, Xiu-Li,&Ji, Nai-Yun.(2022).A new lanostane-type triterpenoid from the marine shellfish symbiotic fungus Ceriporia lacerata CD7-5.NATURAL PRODUCT RESEARCH,7. |
| MLA | Fang, Sheng-Tao,et al."A new lanostane-type triterpenoid from the marine shellfish symbiotic fungus Ceriporia lacerata CD7-5".NATURAL PRODUCT RESEARCH (2022):7. |
入库方式： OAI收割
来源：烟台海岸带研究所
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