In silico target-based strain engineering of Saccharomyces cerevisiae for terpene precursor improvement.

Systems-based metabolic engineering enables cells to enhance product formation by predicting gene knockout and overexpression targets using modeling tools. FOCuS, a novel metaheuristic tool, was used to predict flux improvement targets in terpenoid pathway using the genome-scale model of Saccharomyces cerevisiae, iMM904. Some of the key knockout target predicted includes LYS1, GAP1, AAT1, AAT2, TH17, KGD-m, MET14, PDC1 and ACO1.

Adaptive evolution of engineered yeast for squalene production improvement and its genome-wide analysis.

In the present study, the adaptive evolution of a metabolically engineered Saccharomyces cerevisiae strain in the presence of an enzyme inhibitor terbinafine for enhanced squalene accumulation via serial transfer leads to the development of robust strains. After adaptation for nearly 1500 h, a strain with higher squalene production efficiency was identified at a specific growth rate of 0.28 h with a final squalene titer of 193 mg/L, which is 16.