The present application relates to the field of bioengineering, and particularly relates to
genome, expression module, recombinant strain and application thereof in preparation of rhodiolin. The present application provides a
genome comprising one or more of
expression gene, knockout
gene, overexpression
gene and inhibition
gene. The present application constructs a strain capable of utilizing sugarcane molasses as the only
carbon source to generate rhodiolin, thereby reducing the cost of materials; then the
metabolic network of the
microorganism is restructured through
metabolic engineering, the metabolic flow is optimized, the metabolic flux among different metabolic modules is reasonably distributed, and the efficient synthesis of the target product is promoted; finally, the mining and screening of enzymes are crucial, the enzymes with higher activity and higher specificity for specific substrates are mined and screened based on the combination of the trained large
language model and the
machine learning model and the structural information of the substrates, which significantly improves the
titer and conversion rate of rhodiolin generation, and at the same time, reduces the generation of by-products and the accumulation of precursor substances, and will promote the large-scale production and application of rhodiolin.