Background: Precision fermentation offers a sustainable alternative production route for proteins but still suffers from moderate productivities and low yields. Especially compared to biomass yields, recombinant protein yields on substrate are very low. Uncoupling recombinant protein production from growth would allow higher product yields, but requires that productivity is maintained. So far, two-phase production processes mostly rely on inducers to activate recombinant protein production after an initial growth phase, e.g., a change in carbon source. On large scale, specific growth rates can be controlled by nutrient availability, and we aim to use this as trigger to uncouple recombinant protein production from growth.
Results: We investigated the correlation between low specific growth rates (0.02 h- 1 < µ < 0.1 h- 1) and specific recombinant protein production rates, both for intracellularly accumulating and secreted proteins. By comparing two differently regulated promoters, the strong, constitutive PTEF1 and stress-induced PHSP12, we show that recombinant protein production rates and yields in Saccharomyces cerevisiae can be partially uncoupled from growth. The optimal strategy thereby differs for intracellular and secreted production. The PHSP12 resulted in increased product yields of intracellular protein at very low growth rates, including a 10-fold increase in intracellular protein titer, while titers remained virtually constant for the benchmark PTEF1. The PTEF1 on the other hand led to increased protein secretion rates and efficiencies at lower specific growth rates cumulating in higher extracellular protein titers.
Conclusion: Our results demonstrate that promoter selection plays a critical role in production performance under slow growing conditions. Moreover, it highlights that optimising intracellular and extracellular recombinant protein production requires distinct, strategy-specific approaches.
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| Evidence ID | Analyze ID | Gene/Complex | Systematic Name/Complex Accession | Qualifier | Gene Ontology Term ID | Gene Ontology Term | Aspect | Annotation Extension | Evidence | Method | Source | Assigned On | Reference |
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| Evidence ID | Analyze ID | Gene | Gene Systematic Name | Phenotype | Experiment Type | Experiment Type Category | Mutant Information | Strain Background | Chemical | Details | Reference |
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| Evidence ID | Analyze ID | Gene | Gene Systematic Name | Disease Ontology Term | Disease Ontology Term ID | Qualifier | Evidence | Method | Source | Assigned On | Reference |
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| Evidence ID | Analyze ID | Regulator | Regulator Systematic Name | Target | Target Systematic Name | Direction | Regulation of | Happens During | Regulator Type | Direction | Regulation Of | Happens During | Method | Evidence | Strain Background | Reference |
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| Site | Modification | Modifier | Source | Reference |
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| Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Allele | Assay | Annotation | Action | Phenotype | SGA score | P-value | Source | Reference | Note |
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| Evidence ID | Analyze ID | Interactor | Interactor Systematic Name | Interactor | Interactor Systematic Name | Assay | Annotation | Action | Modification | Source | Reference | Note |
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| Complement ID | Locus ID | Gene | Species | Gene ID | Strain background | Direction | Details | Source | Reference |
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| Evidence ID | Analyze ID | Dataset | Description | Keywords | Number of Conditions | Reference |
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| Evidence ID | Analyze ID | File | Description |
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