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

机译:响应面法在固态发酵中枯草芽孢杆菌生产抗真菌脂肽,iturin A的培养基优化

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摘要

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 μg/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.
机译:枯草芽孢杆菌RB14-CS生产的脂肽抗生素Iturin A可抑制各种植物病原体的生长。在这里,使用统计实验设计可以提高豆渣制造过程中产生的豆腐渣豆渣中固态发酵(SSF)中的iturin A产量。初步实验表明,碳源和氮源的浓度是能够提高尿素A产量的主要因素,而初始pH,初始水含量,温度,相对湿度和接种量只是次要因素。在测试的碳源和氮源中,葡萄糖和豆粕分别是最有效的。基于这些初步发现,将响应面方法应用于预测培养基中碳和氮源的最佳量。在最佳条件下,最大尿素A浓度为5,591μg/ g初始湿豆渣。随后的实验证实,在预测的最佳培养基条件下,Iturin A的产量显着提高。与在非优化条件下产生的产物相比,在优化条件下产生的SSF产物对番茄红枯病菌的抑制具有显着更高的抑制作用。

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