Bioprocess development for production of alkaline protease by Bacillus pseudofirmus Mn6 through statistical experimental designs.

A sequential optimization strategy, based on statistical experimental designs, is employed to enhance the production of alkaline protease by a Bacillus pseudofirmus local isolate. To screen the bioprocess parameters significantly influencing the alkaline protease activity, a 2-level Plackett-Burman design was applied. Among 15 variables tested, the pH, peptone, and incubation time were selected based on their high positive significant effect on the protease activity. A nearoptimum medium formulation was then obtained that increased the protease yield by more than 5-fold. Thereafter, the response surface methodology (RSM) was adopted to acquire the best process conditions among the selected variables, where a 3-level Box-Behnken design was utilized to create a polynomial quadratic model correlating the relationship between the three variables and the protease activity. The optimal combination of the major medium constituents for alkaline protease production, evaluated using the nonlinear optimization algorithm of EXCEL-Solver, was as follows: pH of 9.5, 2% peptone, and incubation time of 60h. The predicted optimum alkaline protease activity was 3,213 U/ml/min, which was 6.4 times the activity with basal medium.

Application of factorial experimental designs for optimization of cyclosporin. A production by Tolypocladium inflatum in submerged culture.

A sequential optimization strategy based on statistical experimental designs was employed to enhance the production of cyclosporin A (CyA) by Tolypocladium inflatum DSMZ 915 in a submerged culture. A 2-level Plackett-Burman design was used to screen the bioprocess parameters significantly influencing CyA production. Among the 11 variables tested, sucrose, ammonium sulfate, and soluble starch were selected, owing to their significant positive effect on CyA production. A response surface methodology (RSM) involving a 3-level Box-Behnken design was adopted to acquire the best process conditions. Thus, a polynomial model was created to correlate the relationship between the three variables and the CyA yield, and the optimal combination of the major media constituents for cyclosporin A production, evaluated using the nonlinear optimization algorithm of EXCEL-Solver, was as follows (g/l): sucrose, 20; starch, 20; and ammonium sulfate, 10. The predicted optimum CyA yield was 113 mg/l, which was 2-fold the amount obtained with the basal medium. Experimental verification of the predicted model resulted in a CyA yield of 110 mg/l, representing 97% of the theoretically calculated yield.

Application of the response surface methodology for optimizing the activity of an aprE-driven gene expression system in Bacillus subtilis.

The major targets for improvement of recombinant expression systems in microbial cells are gene dosage, transcriptional control machinery and, to some extent, translation. Here we show that optimization of fermentation conditions by applying statistically designed, multifactorial experiments offers an additional method for potential enhancement of gene expression systems. A chromosomally encoded fusion between the Bacillus subtilis aprE regulatory region and the E. coli lacZ gene carried by the B. subtilis host cells was used. The 2 x SG sporulation medium was used as a basal medium. Among the 11 fermentation factors we examined, the most significant variables influencing beta-galactosidase expression were statistically elucidated for optimization and included peptone, MgSO4.7H2O, and KCl. The optimum concentrations of these variables were predicted by using a second-order polynomial model fitted to the results obtained by applying the Box-Behnken design, a response surface method. Calculated optimum concentrations were predicted to confer a maximum yield of 2,423.5 beta-galactosidase specific activity units. A verification experiment performed under optimal conditions yielded 96% of the predicted specific activity value with an increase by a factor of almost 5 compared with the results obtained under basal conditions.