Statistical optimization of lovastatin production by Omphalotus olearius (DC.) singer in submerged fermentation

ABSTRACT

In this study, culture conditions were optimized to improve lovastatin production by Omphalotus olearius, isolate OBCC 2002, using statistical experimental designs. The Plackett–Burman design was used to select important variables affecting lovastatin production. Accordingly, glucose, peptone, and agitation speed were determined as the variables that have influence on lovastatin production. In a further experiment, these variables were optimized with a Box–Behnken design and applied in a submerged process; this resulted in 12.51 mg/L lovastatin production on a medium containing glucose (10 g/L), peptone (5 g/L), thiamine (1 mg/L), and NaCl (0.4 g/L) under static conditions. This level of lovastatin production is eight times higher than that produced under unoptimized media and growth conditions by Omphalotus olearius. To the best of our knowledge, this is the first attempt to optimize submerged fermentation process for lovastatin production by Omphalotus olearius.

KEYWORDS:

• Lovastatin
• Omphalotus olearius
• optimization
• statistical modeling
• submerged fermentation

Acknowledgments

This study includes the findings of the MSc thesis of the first author. The authors are thankful to Fatih Buruksu, Talat Ozan Doğan, and Dr. Musa Şölener for their technical support in HPLC and LC-MS/MS analysis. The first author (BA) thanks Fungiculture laboratory staff for help with the bench experiment associated with this study.