Genetic and process engineering strategies for enhanced recombinant N-glycoprotein production in bacteria

Background: The production of N-linked glycoproteins in genetically amenable bacterial hosts offers great potential for reduced cost, faster/simpler bioprocesses, greater customisation and utility for distributed manufacturing of glycoconjugate vaccines and glycoprotein therapeutics. Efforts to optimize production hosts have included heterologous expression of glycosylation enzymes, metabolic engineering, use of alternative secretion pathways, and attenuation of gene expression. However, a major bottleneck to enhance glycosylation efficiency, which limits the utility of the other improvements is the impact of target protein sequon accessibility during glycosylation. Results: Here, we explore a series genetic and process engineering strategies to increase recombinant N-linked glycosylation mediated by the Campylobacter-derived PglB oligosaccharyltransferase in Escherichia coli. Strategies include increasing membrane residency time of the target protein by modifying the cleavage site of its secretion signal, and modulating protein folding in the periplasm by use of oxygen limitation or strains with compromised oxidoreductases or disulphide-bond isomerase activity. These approaches could achieve up to 90% improvement in glycosylation efficiency. Furthermore, we also demonstrated that supplementation with the chemical oxidant cystine enhanced glycoprotein production and improved cell fitness in the oxidoreductase knock out strain. Conclusions: In this study, we demonstrated that improved glycosylation in the heterologous host could be achieved by mimicking the coordination between protein translocation, folding and glycosylation observed in native such as Campylobacter jejuni and mammalian hosts. Furthermore, it provides insight into strain engineering and bioprocess strategy, to improve glycoprotein yield and to avoid physiological burden of unfolded protein stress to cell growth. The process and genetic strategies identified herein will inform further optimisation and scale-up of heterologous recombinant N-glycoprotein production