摘要
目的 研究南海深海沉积物来源真菌Penicillium sp. F00120的次级代谢产物及抗菌活性。方法 采用硅胶、Sephadex LH-20、制备薄层进行分离纯化,通过波谱分析(1H-NMR、13C-NMR)鉴定其结构;采用滤纸片琼脂扩散法测试化合物的抗菌活性。结果 从其发酵物中分离得到8个化合物,分别鉴定为麦角甾-4,6,8(14),22-四烯-3-酮(1),25-羟基-麦角甾-4,6,8(14),22-四烯-3-酮(2),麦角甾-7, 22-二烯-3β, 5α, 6β-三醇(3),麦角甾-5,7, 22-三烯-3β-醇(4),5α,8α-环二氧-6,22-麦角甾二烯-3β-醇(5),5α, 6α环氧麦角甾-8(14), 22-二烯-3β, 7α-二醇(6),胆甾醇(7)和对羟基苯乙酮(8)。结论 化合物1～3、6～8为首次从该菌中分离得到;化合物3、4和8具有一定的抗菌活性。
Abstract
OBJECTIVE To investigate the antibacterial agents in the marine fungus Penicillium sp. F00120 from the deep sea sediments in the South China Sea. METHODS The compounds were purified by a combination of chromatographic methods, and their structures were identified by MS, 1H-NMR, and 13C-NMR spectroscopic analysis. The antimicrobial activities of the isolates were evaluated by the agar plate diffusion method. RESULTS Eight compounds were isolated from the culture and were characterized as ergosta-4,6,8(14),22-tetraen-3-one(1), 25-hydroxyergosta-4,6,8(14), 22-tetraen-3-one(2), ergosta-7,22-dien-3β,5α,6β-triol (3), ergosta-5,7,22-trien-3β-ol(4), 5α,8α-epidioxyergosta-6,22-dien-3β-ol(5), 5α,6α-epoxyergost-8(14), 22-dien-3β,7α-diol(6), cholesterol(7), and 4-hydroxyacetophenone(8), respectively. CONCLUSION Compounds 1-3 and 6-8 are isolated from this fungus for the first time. Compounds 3, 4, and 8 shows moderate antibacterial activities against P. aeruginosa, S. aureus, and E. coli.
关键词
青霉素真菌 /
深海沉积物 /
麦角甾 /
抗菌活性
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Key words
Penicillium sp. /
deep-sea sediment /
ergosta /
antibacterial activity
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陶华明, 林秀萍, 何莹莹, 张莉, 刘永宏.
南海深海沉积物来源真菌Penicillium sp. F00120次级代谢产物及抗菌活性研究[J]. 中国药学杂志, 2015, 50(9): 755-757 https://doi.org/10.11669/cpj.2015.09.005
TAO Hua-ming, LIN Xiu-ping, HE Ying-ying, ZHANG Li , LIU Yong-hong.
Antibacterial Metabolites of Marine Fungus Penicillium sp. F00120 from the Deep Sea Sediments in the South China Sea[J]. Chinese Pharmaceutical Journal, 2015, 50(9): 755-757 https://doi.org/10.11669/cpj.2015.09.005
中图分类号：
R284
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参考文献
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脚注
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基金
国家自然科学基金资助项目(21202080);广东省自然科学基金资助项目(S2012040007061);中科院热带海洋生物资源与生态重点实验室开放基金资助项目(LMB131007);广州市2014年科学研究专项(2014J4100212)
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