L-homoserine, which is one of the few amino acids that is not produced on a large scale by microbial fermentation, plays a significant role in the synthesis of a series of valuable chemicals. In this study, systematic metabolic engineering was applied to target E. coli W3110 for production of L-homoserine. Initially, the basic L-homoserine producer was engineered through the strategies overexpressing thrA (encoding homoserine dehydrogenase), removing the degradative and competitive pathways by knocking out metA (encoding homoserine O-succinyltransferase) and thrB (encoding homoserine kinase), reinforcing the transport system and redirecting the carbon flux by deleting iclR (encoding isocitrate lyase regulator). The resulted strain constructed by these strategies yielded 3.21 g/L of L-homoserine in batch cultures. Moreover, based on CRISPR-Cas9/dCas9 mediated gene repression for 50 genes, the iterative genetic modifications of biosynthesis pathways stepwise improved the L-homoserine yield. The rational integration of glucose uptake and recovery of L-glutamate increased L-homoserine production to 7.25 g/L in shake-flask cultivation. Furthermore, the intracellular metabolic analysis further provided target for strain modification by introducing the anaplerotic route afforded by pyruvate carboxylase to oxaloacetate formation, which resulted in accumulating 8.54 g/L L-homoserine (0.33 g/g glucose, 62.4% of the maximum theoretical yield) in shake-flask cultivation. Finally, rationally designed strain gave 37.57 g/L L-homoserine under fed-batch fermentation, with a yield of 0.31 g/g glucose.
Importance In this study, the bottlenecks that sequentially limited the L-homoserine biosynthesis were identified and resolved, based on the rational and efficient metabolic engineering strategies coupled with CRISPRi-based systematic analysis. The metabolomics data largely expanded the understanding of metabolic effects and revealed relevant targets for further modification to achieve a preferable performance. The systematic analysis strategy as well as metabolomics analysis can be used to rationally design cell factories for the production of highly valuable chemicals.