Optimization of amorphadiene production in engineered yeast by response surface methodology

Abstract

Isoprenoids are among the most diverse bioactive compounds synthesized by biological systems. The superiority of these compounds has expanded their utility from pharmaceutical to fragrances, including biofuel industries. In the present study, an engineered yeast strain Saccharomyces cerevisiae (YCF-AD1) was optimized for production of Amorpha-4, 11-diene, a precursor of antimalarial drug using response surface methodology. The effect of four critical parameters such as KH2PO4, methionine, pH and temperature were evaluated both qualitatively and quantitatively and further optimized for enhanced amorphadiene production by using a central composite design and model validation. The ‘‘goodness of fit’’ of the regression equation and model fit (R2 ) of 0.9896 demonstrate this study to be an effective model. Further, this model will be used to validate theoretically and experimentally at the higher level of amorphadiene production with the combination of the optimized values of KH2PO4 (4.0), methionine (1.49), pH (5.4) and temperature (33 C)