In industrial biotechnology, a key challenge is the development of microbial strains with
enhanced secretion capabilities for recombinant proteins. The yeast Saccharomyces
cerevisiae is a widely used organism in biotechnology due to its genetic accessibility and
ease of cultivation. However, its secretion efficiency is limited compared to other
systems. In this master's thesis, we aimed to develop a method for selecting yeast strains
with improved protein secretion. To achieve this, we utilized endogenous toxic proteins
and the signal peptide of the alpha-factor pheromone.
First, we selected toxic proteins whose overexpression leads to reduced cell viability. We
focused on the Arf1 protein, which is involved in vesicular transport, and Kar2, a key
chaperone in the endoplasmic reticulum. By using different versions of the GAL1
promoter, we regulated their expression and studied the effect of the alpha-factor signal
peptide on their secretion. We hypothesized that directing the toxic protein into the
secretory pathway would reduce its toxicity and enable the selection of strains that most
efficiently secrete the protein.
For the experimental part, we used the CRISPR-Cas9 technique to insert shortened
versions of the GAL1 promoter and the alpha-factor signal peptide sequence into the
genome of S. cerevisiae strains. The resulting mutants were analysed using phenotypic
assays, growth measurements, and SDS-PAGE and Western blot protein analyses.
We found that the protein Kar2 is not toxic in the system used. In contrast, the protein
Arf1 exhibits a toxic effect when overexpressed. Fusion of Arf1 with the α-factor signal
sequence did not have a toxic effect on the cell, however, we also demonstrated that
secretion of the protein was not successful.
These results indicate that the choice of a toxic protein is critical for the functionality of
the secretion system. Although Arf1 initially appeared to be a promising candidate, it was
shown that the addition of a signal sequence alone is not sufficient for its efficient
secretion.
Further research could include fine-tuning signal sequences and optimizing the secretion
pathway for specific proteins, further improving the efficiency of biotechnological
processes.
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