Methanol is considered as a potential hazard in the methanol-induced yeast expression of food-related enzymes. To increase the production efficiency of recombinant proteins in Pichia pastoris without methanol induction, a novel dual-plasmid system was constructed, for the first time, by a combining the strategies of genomic integration and episomal expression. To obtain a high copy number of the target gene, the autonomously replicating sequence derived from Kluyveromyces lactis (PARS) was used to construct episomal vectors carrying the constitutive promoters PGAP and PGCW14 . In addition, an integrative vector carrying the PGCW14 promoter was constructed by replacing the PGAP promoter sequence with a partial PGCW14 promoter. Next, using xylanase XynA from Streptomyces sp. FA1 as the model enzyme, recombination strains were transformed with different combinations of integrating and episomal vectors that were constructed to investigate the changes in the protein yield. Results in shake flasks indicated that the highest enzyme yield was achieved when integrated PGAP and episomal PGCW14 were simultaneously transformed into the host strain. Meanwhile, the copy number of xynA increased from 1.14 ± 0.46 to 3.06 ± 0.35. The yield of XynA was successfully increased to 3925 U·mL−1 after 102 h of fermentation in a 3.6 L fermenter, which was 16.7-fold and 2.86-fold of the yields that were previously reported for the constitutive expression and methanol-induced expression of the identical protein, respectively. Furthermore, the high-cell-density fermentation period was shortened from 132 h to 102 h compared to that of methanol-induced system. Since the risk of methanol toxicity is removed, this novel expression system would be suitable for the production of proteins related to the food and pharmaceutical industries.
CITATION STYLE
Xia, W., Hu, M., Pan, Y., Wu, D., & Wu, J. (2021). Improved production of streptomyces sp. Fa1 xylanase in a dual-plasmid pichia pastoris system. Current Issues in Molecular Biology, 43(3), 2289–2304. https://doi.org/10.3390/cimb43030161
Mendeley helps you to discover research relevant for your work.