BackgroundTechnical bulk enzymes represent a huge market, and the extracellular production of such enzymes is favorable due to lowered cost for product recovery. Protein secretion can be achieved via general secretion (Sec) pathway. Specific sequences, signal peptides (SPs), are necessary to direct the target protein into the translocation machinery. For example, >150 Sec-specific SPs have been identified for Bacillus subtilis alone. As the best SP for a target protein of choice cannot be predicted a priori, screening of homologous SPs has been shown to be a powerful tool for different expression organisms. While SP libraries between closely related species were successfully applied to optimize recombinant protein secretion, this was not investigated for distantly related species. Therefore, in this study a Sec SP library from low-GC firmicutes B. subtilis is investigated to optimize protein secretion in high-GC actinobacterium Corynebacterium glutamicum using cutinase from Fusarium solani pisi as model protein.ResultsA homologous SP library (~150 SP) for recombinant cutinase secretion in B. subtilis was successfully transferred to C. glutamicum as alternative secretion host. Cutinase secretion in C. glutamicum was quantified using an automated micro scale cultivation system for online growth monitoring, cell separation and cutinase activity determination. Secretion phenotyping results were correlated to those from a previous study, in which the same SP library was used to optimize secretion of the same cutinase but using B. subtilis as host. Strikingly, behavior of specific SP-cutinase combinations was changed dramatically between B. subtilis and C. glutamicum. Some SPs showed comparable cutinase secretion performances in both hosts, whereas other SPs caused diametrical extracellular cutinase activities.ConclusionThe optimal production strain for a specific target protein of choice still cannot be designed in silico. Not only the best SP for a target protein has to be evaluated each time from scratch, the expression host also affects which SP is best. Thus, (heterologous) SP library screening using high-throughput methods is considered to be crucial to construct an optimal production strain for a target protein.Electronic supplementary materialThe online version of this article (doi:10.1186/s12934-016-0604-6) contains supplementary material, which is available to authorized users.

Background: In recent years, the industrial workhorse Corynebacterium glutamicum has gained increasing interest as a host organism for the secretory production of heterologous proteins. Generally, the yield of a target protein in the culture supernatant depends on a multitude of interdependent biological and bioprocess parameters which have to be optimized. So far, the monitoring of such optimization processes depends on the availability of a direct assay for the respective target protein that can be handled also in high throughput approaches. Since simple assays, such as standard enzymatic activity assays, are not always at hand, the availability of a general protein secretion biosensor is highly desirable. Results: High level secretion of proteins via the Sec protein export pathway leads to secretion stress, a phenomenon that is thought to be caused by the accumulation of incompletely or misfolded proteins at the membrane-cell envelope interface. We have analyzed the transcriptional responses of C. glutamicum to the secretory production of two different heterologous proteins and found that, in both cases, the expression of the gene encoding a homologue of the extracytosolic HtrA protease was highly upregulated. Based on this finding, a C. glutamicum Sec secretion biosensor strain was constructed in which the htrA gene on the chromosome was replaced by the eyfp gene. The fluorescence of the resulting reporter strain responded to the secretion of different heterologous proteins (cutinase from Fusarium solani pisi and alkaline phosphatase PhoA from Escherichia coli) in a dose-dependent manner. In addition, three differently efficient signal peptides for the secretory production of the cutinase could be differentiated by the biosensor signal. Furthermore, we have shown that an efficient signal peptide can be separated from a poor signal peptide by using the biosensor signal of the respective cells in fluorescence activated cell sorting experiments. Conclusions: We have succeeded in the construction of a C. glutamicum biosensor strain that allows for the monitoring of Sec-dependent secretion of heterologous proteins in a dose-dependent manner, independent of a direct assay for the desired target protein.

The impact of Sec signal peptides (SPs) from Bacillus subtilis in combination with isopropyl‐β‐ d‐1‐thiogalactopyranoside concentration and feeding profile was investigated for heterologous protein secretion performance by Corynebacterium glutamicum using cutinase as model enzyme. Based on a comprehensive data set of about 150 bench‐scale bioreactor cultivations in fed‐batch mode and choosing the cutinase yield as objective, it was shown that relative secretion performance for bioprocesses remains very similar, irrespective of the applied SP enabling Sec‐mediated cutinase secretion. However, to achieve the maximal absolute cutinase yield, careful adjustment of bioprocess conditions was found to be necessary. A model‐based, two‐step multiple regression approach resembled the collected data in a comprehensive way. The corresponding results suggest that the choice of the heterologous Sec SP and its interaction with the adjusted exponential feeding profile is highly relevant to maximize absolute cutinase yield in this study. For example, the impact of Sec SP is high at low growth rates and low at high growth rates. However, promising Sec SPs could be inferred from less complex batch cultivations. The extensive data were also evaluated in terms of cutinase productivity, highlighting the well‐known trade‐off between yield and productivity in bioprocess development in detail. Conclusively, only the right combination of target protein, Sec SP, and bioprocess conditions is the key to success.

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