A dynamic, genome-scale flux model of Lactococcus lactis to increase specific recombinant protein expression.

Recently, lactic acid bacteria (LAB) have attracted a great deal of interest because of their potential to serve as oral delivery vehicles for recombinant protein vaccines. An important limitation to their use is the typically low level of heterologous expression obtained in LAB. To address this, a dynamic flux balance analysis (DFBA) model was used to identify gene targets for increasing specific expression of Green Fluorescent Protein (GFP), a model heterologous protein, in Lactococcus lactis IL1403. Two strains, each targeting one of the top model-identified genes, were constructed and tested in vivo. Data show that both strains, by a conservative estimate, achieved 15% higher GFP per cell than the control strain, a qualitative confirmation of the model predictions. A genome-scale DFBA model for L. lactis growing on M17 medium is presented along with the procedure for screening gene targets and a powerful method for visualizing fluxes in genome-scale metabolic networks.

Dual inducible expression of recombinant GFP and targeted antisense RNA in Lactococcus lactis.

The food-grade status and probiotic activity of lactic acid bacteria (LAB) make them attractive hosts for production and oral delivery of therapeutic heterologous vaccines and other proteins, yet these bacteria currently do not achieve recombinant protein expression at levels comparable to those seen in Escherichia coli and Saccharomyces cerevisiae. Limited levels of expressed recombinant protein per cell most likely constrain the vaccine's immunogenic potential with respect to the magnitude and specificity of the immune response. With the goal of increasing recombinant protein expression per cell in Lactococcus lactis IL1403, a model LAB, we have constructed and evaluated a new vector that permits simultaneously-induced expression of GFP, a model recombinant protein, and antisense RNA inhibition of the clpP-encoded intracellular protease. While silencing of the rational target clpP does not lead to increased GFP per cell, the new dual-expression system provides an efficient and potentially high-throughput metabolic engineering tool for strain improvement.

Incorporation of nisI-mediated nisin immunity improves vector-based nisin-controlled gene expression in lactic acid bacteria.

Lactic acid bacteria (LAB) have been used successfully to express a wide variety of recombinant proteins, ranging from flavor-active proteins to antibiotic peptides and oral vaccines. The nisin-controlled expression (NICE) system is the most prevalent of the systems for production of heterologous proteins in LAB. Previous optimization of the NICE system has revealed a strong limit on the concentration of the inducer nisin that can be tolerated by the culture of host cells. In this work, the nisin immunity gene, nisI, has been inserted into the recently reported pMSP3535H2 vector that contains the complete NICE system on a high-copy Escherichia coli-LAB shuttle vector. Fed-batch fermentation data show that Lactococcus lactis IL1403 cells transformed with the new vector, pMSP3535H3, tolerate a 5-fold increase in the concentration of the inducer nisin, and, at this elevated concentration, produce a 1.8-fold increased level of green fluorescent protein (GFP), a model recombinant protein. Therefore, the incorporation of nisI in the pMSP3535H3 NICE system described here unveils new ranges of induction parameters to be studied in the course of optimizing recombinant protein expression in LAB.

Optimization of fed-batch production of the model recombinant protein GFP in Lactococcus lactis.

Optimization of recombinant protein production using lactic acid bacteria (LAB) remains an important obstacle on the road to realizing LAB as oral vaccine delivery vehicles. Despite this, there have been few published investigations to explore the higher limits of LAB recombinant protein expression in fed-batch fermentations. In this study, results from response surface experiments suggested an optimal set of conditions for expression of green fluorescent protein (GFP), a model recombinant protein, in bench-scale, fed-batch Lactococcus lactis IL1403 fermentations. The 48 4-L fed-batch fermentations in this set of experiments, along with preliminary studies, investigated the effects of pH, temperature, hemin concentration, concentration of the nisin inducer per cell, and time of induction. Cell densities in this data set ranged from 2.9 to 7.4 g/L and maximum GFP expression per cell ranged from 0.1 to 4.4 relative fluorescence units (RFU)/g. The optimal 4-L, fed-batch fermentation process found here yields growth and protein expression values that dramatically improve upon results from traditional test tube and flask processes. Relative to the traditional process, the experimental optimum conditions yield 4.9 times the cell density, 1.6 times the protein per cell mass, and 8 times the total protein concentration. Unexpectedly, experiments also revealed that the compound hemin, known previously to improve growth and survival of Lactococcus lactis (L. lactis), negatively impacted recombinant protein production when added in concentrations from 5 to 20 microg/mL with this strain. The improvement in protein expression over traditional processes demonstrated here is an important step toward commercial development of LAB for oral delivery of recombinant vaccines and therapeutic proteins.