title: 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.
authors: a Graduate School of Sciences , Eskişehir Osmangazi University , Eskişehir , Turkey.
authors: Burcu
authors: B
authors: Atlı
authors: b Department of Biology , Faculty of Science and Arts, Eskişehir Osmangazi University , Eskişehir , Turkey.
authors: Mustafa
authors: M
authors: Yamaç
authors: c Department of Statistics , Faculty of Science and Arts, Eskişehir Osmangazi University , Eskişehir , Turkey.
authors: Zeki
authors: Z
authors: Yıldız
authors: d Mushroom Biology and Fungal Biotechnology Laboratory , North Carolina A&T State University , Greensboro , North Carolina , USA.
authors: Omoanghe S
authors: OS
authors: Isikhuemhen
mesh_terms: D000363:Agaricales / Q000378:metabolism*; D005285:Fermentation; D008148:Lovastatin / Q000096:biosynthesis*
chemical_list: D008148:Lovastatin
keywords: Lovastatin; Omphalotus olearius; optimization; statistical modeling; submerged fermentation