NDLI: Optimisation of Hydrocortisone Production by Curvularia lunata

Content Provider	Springer Nature Link
Author	Lu, Wenyu Du, Lianxiang Wang, Min Jia, Xiaoqiang Wen, Jianping Huang, Yuping Guo, Yawen Gong, Wei Bao, Huike Yang, Jing Sun, Bing
Copyright Year	2007
Abstract	A new method for breeding the hydrocortisone overproducing strain Curvularia lunata by screening ketoconazole-resistance mutant was developed. A hydrocortisone overproducing mutant C. lunata KA-91 with ketoconazole-resistance marker was obtained from protoplasts treated with ultraviolet radiation. The hydrocortisone conversion rate of C. lunata KA-91 was increased by 42.1% compared to the original strain CL-114 at the substrate 17α-hydroxypregn-4-en-3, 20-dione-21-acetate addition concentration of 1.0 g/L. The by-products produced by KA-91 were fewer than those of the original strain. It was assumed that the higher cytochrome P450 content of ketoconazole-resistance mutant resulted in the increase of 11β-hydroxylation capacity. The culture conditions for biotransformation of 17α-hydroxypregn-4-en-3, 20-dione-21-acetate to hydrocortisone were optimized by response surface methodology. Plackett–Burman design was applied to elucidate the key factors affecting the hydrocortisone production, and the results indicated that glucose, initial pH, and glucose to total nitrogen sources ratio (ω) had significant effects on hydrocortisone production. Box–Behnken design was employed to search for the optimal parameters of those three key factors. According to the model, the trial checking at the optimal conditions showed a high hydrocortisone conversion rate of 82.67%.
Starting Page	17
Ending Page	28
Page Count	12
File Format	PDF
ISSN	02732289
Journal	Applied Biochemistry and Biotechnology
Volume Number	142
Issue Number	1
e-ISSN	15590291
Language	English
Publisher	Humana Press Inc
Publisher Date	2007-04-17
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Curvularia lunata Cytochrome P450 Hydrocortisone Ketoconazole-resistance screening Optimization Response surface methodology Biochemistry Biotechnology
Content Type	Text
Resource Type	Article
Subject	Medicine Molecular Biology Environmental Engineering Biochemistry Bioengineering Applied Microbiology and Biotechnology Biotechnology

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