| 壳二孢氯素产生菌的鉴定及发酵培养基优化 |
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| 引用本文： | 李业英,崔晓兰,石英,徐岩,路新华,郑智慧,蒋沁. 壳二孢氯素产生菌的鉴定及发酵培养基优化[J]. 中国抗生素杂志, 2012, 37(5): 372-376 |
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| 作者姓名： | 李业英 崔晓兰 石英 徐岩 路新华 郑智慧 蒋沁 |
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| 作者单位： | 华北制药集团新药研究开发有限责任公司微生物药物国家工程研究中心,河北省工业微生物代谢工程技术研究中心,石家庄050015 |
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| 基金项目： | 国家自然科学基金项目(No.30873107);国家973计划项目子课题(No.2009CB526513) |
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| 摘 要： | 目的对壳二孢氯素产生菌F05Z0761进行菌种鉴定,并进行培养基优化,提高其发酵单位。方法首先通过形态学特征进行鉴定,然后通过发酵培养基筛选实验并采用Plackett-Burman实验、最陡爬坡实验、中心组合实验设计等方法提高发酵单位。结果 F05Z0761经形态学鉴定显示该菌株属于镰刀菌属（Fusarium）,并得到了优化后的发酵培养基配方即:淀粉1.8%、葡萄糖2.5%、棉籽粉1.9%、热榨黄豆饼粉0.8%和KH2PO40.2%,发酵单位较对照提高了4.38倍。结论由镰刀菌属产生壳二孢氯素在国内还未见报道,并将响应面实验设计应用于该菌株的发酵培养基优化中。
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| 关 键 词： | 壳二孢氯素 镰刀菌属 响应面法 优化 |
Identification and medium optimization of ascochlorin producing strain |
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| Li Ye-ying , Cui Xiao-lan , Shi Ying , Xu Yan , Lu Xin-hua , Zheng Zhi-hui , Jiang Qin. Identification and medium optimization of ascochlorin producing strain[J]. Chinese Journal of Antibiotics, 2012, 37(5): 372-376 |
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| Authors: | Li Ye-ying Cui Xiao-lan Shi Ying Xu Yan Lu Xin-hua Zheng Zhi-hui Jiang Qin |
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| Affiliation: | (NCPC New Drug Research and Development CO.,Ltd.,National Engineering Research Center of Microbial Medicine,Hebei Industry Microbial Metabolic Engineering & Technology Research Center,Shijiazhuang,Shijiazhuang 050015 ) |
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| Abstract: | Objective To identify the filamentous fungus F05Z0761 which is able to produce ascochlorin and to improve the fermentation titer.Methods Morphological observation was applied to identify the strain and Plackett-Burman design,steepest ascent design,central composite design were used to improve the fermentation titer.Results The strain was identified as Fusarium by morphological characteristics and the optimum medium composition for ascochlorin production was found to be:Starch 1.8%;Glucose 2.5%;Pharmamedia 1.9%;Soybean meal 0.8%and KH2PO4 0.2%.The fermentation titer was improved 4.38 times as much as the initial titer.Conclusion This is the first report that ascochlorin could be produced by Fusaium in China.And response surface methodology was used to optimize the fermentation medium |
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| Keywords: | Ascochlorin Fusarium Response surface methodology Optimization |
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