Hypersecretory production of glucose oxidase in Pichia pastoris through combinatorial engineering of protein properties, synthesis, and secretion

Glucose oxidase (EC 1.1.3.4, GOD) is a widely used industrial enzyme. To construct a GOD-hyperproducing Pichia pastoris strain, combinatorial strategies have been applied to improve GOD activity, synthesis, and secretion. First, wild-type GOD was subjected to saturation mutagenesis to obtain an improved variant, MGOD1 (V20W/T30S), with 1.7-fold higher kcat /KM . Subsequently, efficient signal peptides were screened, and the copy number of MGOD1 was optimized to generate a high-producing strain, 8GM1, containing eight copies of AOX1 promoter-GAS1 signal peptide-MGOD1 expression cassette. Finally, the vesicle trafficking of 8GM1 was engineered to obtain the hyperproducing strain G1EeSe co-expressing the trafficking components EES and SEC. 22, and the EES gene (PAS_chr3_0685) was found to facilitate both protein secretion and production for the first time. Using these strategies, GOD secretion was enhanced 65.2-fold. In the 5-L bioreactor, conventional fed-batch fermentation without any process optimization resulted in up to 7223.0 U/mL extracellular GOD activity (3.3-fold higher than the highest level reported to date), with almost only GOD in the fermentation supernatant at a protein concentration of 30.7 g/L. Therefore, a GOD hyperproducing strain for industrial applications was developed, and this successful case can provide a valuable reference for the construction of high-producing strains for other industrial enzymes.

Efficient Secretory Production of δ-Tocotrienol by Combining Pathway Modularization and Transportation Engineering

The vitamin E component δ-tocotrienol has shown impressive activities in radioprotection, neuroprotection, and cholesterol reduction. Its production is limited by the low content in plants and difficulty in separation from other tocotrienols. Fermentative production using a microbial cell factory that exclusively produces and secretes δ-tocotrienol is a promising alternative approach. Assembly of the δ-tocotrienol synthetic pathway in Saccharomyces cerevisiae followed by comprehensive pathway engineering led to the production of 73.45 mg/L δ-tocotrienol. Subsequent addition of 2-hydroxypropyl-β-cyclodextrin (CD) and overexpression of the transcription factor PDR1 significantly elevated δ-tocotrienol titer to 241.7 mg/L (63.65 mg/g dry cell weight) in shake flasks, with 30.4% secreted. By properly adding CD and the in situ extractant olive oil, 181.12 mg/L of δ-tocotrienol was collected as an extracellular product, accounting for 85.6% of the total δ-tocotrienol production. This process provides not only a promising δ-tocotrienol cell factory but also insights into yeast engineering toward secretory production of other terpenoids.

Secretory Production of Tocotrienols in Saccharomyces cerevisiae

Tocotrienols as important components of vitamin E have attracted increasing attention, with recent progress made in their heterologous biosynthesis, but all as intracellular products. Aiming to further improve the tocotrienol production capacity of engineered yeast and to advance toward industrial fermentation of tocotrienols, we first optimized the synthetic pathway to enhance the tocotrienol yield and then attempted to realize their secretory production by exploring biphasic extractive fermentation conditions and screening for endogenous transporters. Finally, a Saccharomyces cerevisiae strain with tocotrienol yield of 25.57 mg/g dry cell weight was generated, and the tocotrienol titer reached 82.68 mg/L in shake-flask cultures, with 73.66% of the product secreted into the organic phase. For the first time, we have reported that the vitamin E components could be harvested as extracellular products of microbial cell factories, which could largely simplify the downstream process and could be of significance for fermentative production of these products.

In Silico Investigation of Signal Peptide Sequences to Enhance Secretion of CD44 Nanobodies Expressed in Escherichia coli

BACKGROUND

The selection of a suitable signal peptide that can direct recombinant proteins from the cytoplasm to the extracellular space is an important criterion affecting the production of recombinant proteins in Escherichia coli, a widely used host. Nanobodies are currently attracting the attention of scientists as antibody alternatives due to their specific properties and feasibility of production in E. coli.

OBJECTIVE

CD44 nanobodies constitute a potent therapeutic agent that can block CD44/HA interaction in cancer and inflammatory diseases. This molecule may also function as a drug against cancer cells and has been produced previously in E. coli without a signal peptide sequence. The goal of this project was to find a suitable signal peptide to direct CD44 nanobody extracellular secretion in E. coli that will potentially lead to optimization of experimental methods and facilitate downstream steps such as purification.

METHODS

We analyzed 40 E. coli derived signal peptides retrieved from the Signal Peptide database and selected the best candidate signal peptides according to relevant criteria including signal peptide probability, stability, and physicochemical features, which were evaluated using signalP software version 4.1 and the ProtParam tool, respectively.

RESULTS

In this in silico study, suitable candidate signal peptide(s) for CD44 nanobody secretory expression were identified. CSGA, TRBC, YTFQ, NIKA, and DGAL were selected as appropriate signal peptides with acceptable D-scores, and appropriate physicochemical and structural properties. Following further analysis, TRBC was selected as the best signal peptide to direct CD44 nanobody expression to the extracellular space of E. coli.

CONCLUSION

The selected signal peptide, TRBC is the most suitable to promote high-level secretory production of CD44 nanobodies in E. coli and potentially will be useful for scaling up CD44 nanobody production in experimental research as well as in other CD44 nanobody applications. However, experimental work is needed to confirm the data.

[Secretory production of xylanase in Corynebacterium glutamicum using its endogenous elements]

We constructed bicistronic expression system containing AH6 promoter, 5' UTR and its fore 38 bp sequence from Corynebacterium glutamicum, followed by a conserved Shine-Dalgarno (SD) sequence for xylanase expression. The two major secretory pathways signal peptide in C. glutamicum, Tat (CgR0949) and Sec (CspB) dependent signal peptide were added before xylanase for its secretion. Fed-batch cultivation was done in a 5 L jar for high-level xylanase secretion. The enzyme properties of the purified xylanase were then studied, including the effect of temperature and pH on its activity. The xylanase could be secreted into the culture supernatant when the Sec-dependent signal peptide CspB was used, but none was detected when CgR0949 was used. The secretory production level of xylanase in a flask was 486.2 U/mL and become 1 648.7 U/mL when in a 5 L jar, which was 3.4 fold as in the flask. The optimal pH and temperature of xylanase were pH 4.5 and 45 ℃, respectively. Its activity was 80% of initial activity after pretreatment at 4 ℃ for 24 h at pH 4-11, 95% after incubation below 50 ℃ for 15 min, and 20% when the temperature above 60 ℃. The xylanase could be efficiently secreted into the culture medium by C. glutamicum using its own genetic elements, and the secretion level could be improved through large-scale fed-batch cultivation. This bicistronic expression system can provide a useful tool for heterologous proteins secretion in C. glutamicum. In addition, the catalyze activity of xylanase could be further improved by enzyme properties study.

In silico Analysis of Different Signal Peptides for Secretory Production of Arginine Deiminase in Escherichia coli

BACKGROUND

Secretory production of recombinant protein in bacterial hosts fulfills several advantages. Selecting an appropriate secretory signal peptide is a critical step in secretory production of different protein. Several patents report the usage of signal peptides for secretory production of recombinant proteins in E. coli. In silico identification of suitable signal peptides is a reliable and cost-effective alternative to experimental approaches.

OBJECTIVE

This study was aimed to predict best signal peptides for the secretory production of recombinant arginine deiminase in E. coli.

METHODS

In this study, 30 different signal peptide sequences were retrieved from database. The signal peptide probability, location of cleavage sites, and n, h and c regions were predicted by SignalP 4.1 and Phobius servers. After purging the 30 predicted secretory signal peptides, TorT, bla, NrfA, TolB, PapC, PldA, Lpp were removed. Several physicochemical properties of the remaining potential SPs were determined by ProtParam, PROSO II, and SOLpro servers for theoretically selecting the best candidates.

RESULTS AND CONCLUSION

Based on physicochemical properties, the signal peptides of OmpC, OmpF, and DsbA were identified respectively as the promising candidates for efficient secretory production of arginine deiminase in E. coli. Although the computational approach has established itself as a basis of modern biotechnology, the experimental study is necessary to validate its results. The criteria used in this study could be applied to other targets for recombination processes.