Improved production of Taxol^® precursors in S. cerevisiae using combinatorial in silico design and metabolic engineering.

ABSTRACT:

Background

Integrated metabolic engineering approaches that combine system and synthetic biology tools enable the efficient design of microbial cell factories for synthesizing high-value products. In this study, we utilized in silico design algorithms on the yeast genome-scale model to predict genomic modifications that could enhance the production of early-step Taxol^® in engineered Saccharomyces cerevisiae cells.

Results

Using constraint-based reconstruction and analysis (COBRA) methods, we narrowed down the solution set of genomic modification candidates. We screened 17 genomic modifications, including nine gene deletions and eight gene overexpressions, through wet-lab studies to determine their impact on taxadiene production, the first metabolite in the Taxol

SUBMITTER: Malcı K 

PROVIDER: S-EPMC10687855 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature