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利用响应面法对枯草芽孢杆菌固态发酵生产抗真菌脂肽伊枯草菌素A的培养基进行优化

Medium optimization of antifungal lipopeptide, iturin A, production by Bacillus subtilis in solid-state fermentation by response surface methodology.

作者信息

Mizumoto Shinji, Shoda Makoto

机构信息

Chemical Resources Laboratory, Tokyo Institute of Technology, R1-29, 4259 Nagatsuta, Midori-ku, Yokohama, 226-8503, Japan.

出版信息

Appl Microbiol Biotechnol. 2007 Aug;76(1):101-8. doi: 10.1007/s00253-007-0994-9. Epub 2007 May 3.

Abstract

Iturin A, a lipopeptide antibiotic produced by Bacillus subtilis RB14-CS, suppresses the growth of various plant pathogens. Here, enhancement of iturin A production in solid-state fermentation (SSF) on okara, a soybean curd residue produced during tofu manufacturing, was accomplished using statistical experimental design. Primary experiments showed that the concentrations of carbon and nitrogen sources were the main factors capable of enhancing iturin A production, whereas initial pH, initial water content, temperature, relative humidity, and volume of inoculum were only minor factors. Glucose and soybean meal were the most effective among tested carbon and nitrogen sources, respectively. Based on these preliminary findings, response surface methodology was applied to predict the optimum amounts of the carbon and nitrogen sources in the medium. The maximum iturin A concentration was 5,591 mug/g initial wet okara under optimized condition. Subsequent experiments confirmed that iturin A production was significantly improved under the predicted optimal medium conditions. The SSF product generated under the optimized conditions exhibited significantly higher suppressive effect on the damping-off of tomato caused by Rhizoctonia solani K-1 compared with the product generated under the non-optimized conditions.

摘要

伊枯草菌素A是由枯草芽孢杆菌RB14-CS产生的一种脂肽抗生素,可抑制多种植物病原体的生长。在此,利用统计实验设计实现了在豆腐生产过程中产生的豆渣固态发酵(SSF)中伊枯草菌素A产量的提高。初步实验表明,碳源和氮源的浓度是能够提高伊枯草菌素A产量的主要因素,而初始pH、初始含水量、温度、相对湿度和接种量只是次要因素。葡萄糖和豆粕分别是测试的碳源和氮源中最有效的。基于这些初步发现,应用响应面法预测培养基中碳源和氮源的最佳用量。在优化条件下,伊枯草菌素A的最大浓度为5591μg/g初始湿豆渣。后续实验证实,在预测的最佳培养基条件下,伊枯草菌素A的产量显著提高。与未优化条件下产生的产品相比,优化条件下产生的SSF产品对立枯丝核菌K-1引起的番茄猝倒病具有显著更高的抑制效果。

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