We have achieved the following contributions.
1 Genome-scale metabolic model (GSMM)
Throughout the initial stages of the project's technology pathway design, to improve shikimic acid yields, we utilize models to predict yields, modify genes, and improve knockout procedures. Our model is based on the genome-scale metabolic model (GSMM) of Escherichia coli (iML1515), which is used to perform an in silico screening of key gene targets for improved shikimic acid biosynthesis [1]. In the future, if other teams are required to conduct research on the yield of shikimic acid, they can use this model to forecast the yield and be better ready to plan their experiments in advance.
(1)Increase PEP production:
(i)Knocking out the ptsG, ptsH, and ptsI genes prevents PEP from being
converted to pyruvate by blocking the
phosphate
transport pathway (PTS system).
(ii) By knocking out the poxB gene, one can prevent PEP branching pathways like those for lactate, acetate,
and ethanol
synthesis.
(2) Increase E4P production: tktA and talB genes are overexpressed.
(3) Build and improve the shikimic acid synthesis pathway:
(i) Increased metabolic flux of shikimic acid produced from PEP and E4P by overexpressing the aroG, aroB,
aroD, and aroE
genes.
(ii) The shikimic acid catabolic pathway is blocked by aroK and aroL gene knockout.
Methods, Results and Discussion