Successive Nonstatistical and Statistical Approaches for the Improved Antibiotic Activity of Rare ActinomyceteNonomuraeasp. JAJ18

Abstract

The selection and optimization of nutritional constituents as well as their levels for the improved production of antibiotic byNonomuraeasp. JAJ18 were carried out using combination of both nonstatistical one-factor-at-a-time (OFAT) method and statistical response surface methodology (RSM). Using OFAT method, starch and (NH4)2SO4were identified as suitable carbon and nitrogen sources, respectively. Subsequently, starch, NaCl, and MgSO4·7H2O were recognized as the most significant media components with confidence level of above 95% using the Plackett-Burman design. The levels of the three media components were further optimized using RSM employed with Box-Behnken design. Accordingly, a second-order polynomial regression model was fitted into the experimental data. By analyzing the response surface plots as well as using numerical optimization method, the optimal levels for starch, NaCl, and MgSO4·7H2O were determined as 15.6 g/L, 0.8 g/L, and 1.98 g/L, respectively. With the optimized medium, 15.5% increase was observed in antibiotic activity of JAJ18. Results further support the use of RSM for media optimization. To the best of our knowledge, this is the first report of statistical media optimization for antibiotic production in rare actinomyceteNonomuraeaspecies, which will be useful for the development ofNonomuraeacultivation process for efficient antibiotic production on a large scale.