Evaluation of promoter sequences for the secretory production of a Clostridium thermocellum cellulase in Paenibacillus polymyxa

Due to their high secretion capacity, Gram-positive bacteria from the genus Bacillus are important expression hosts for the high-yield production of enzymes in industrial biotechnology; however, to date, strains from only few Bacillus species are used for enzyme production at industrial scale. Herein, we introduce Paenibacillus polymyxa DSM 292, a member of a different genus, as a novel host for secretory protein production. The model gene cel8A from Clostridium thermocellum was chosen as an easily detectable reporter gene with industrial relevance to demonstrate heterologous expression and secretion in P. polymyxa. The yield of the secreted cellulase Cel8A protein was increased by optimizing the expression medium and testing several promoter sequences in the expression plasmid pBACOV. Quantitative mass spectrometry was used to analyze the secretome in order to identify promising new promoter sequences from the P. polymyxa genome itself. The most abundantly secreted host proteins were identified, and the promoters regulating the expression of their corresponding genes were selected. Eleven promoter sequences were cloned and tested, including well-characterized promoters from Bacillus subtilis and Bacillus megaterium. The best result was achieved with the promoter for the hypothetical protein PPOLYM_03468 from P. polymyxa. In combination with the optimized expression medium, this promoter enabled the production of 5475 U/l of Cel8A, which represents a 6.2-fold increase compared to the reference promoter P_aprE. The set of promoters described in this work covers a broad range of promoter strengths useful for heterologous expression in the new host P. polymyxa.

A new method to evaluate temperature vs. pH activity profiles for biotechnological relevant enzymes

BACKGROUND

Glycoside hydrolases are important for various industrial and scientific applications. Determination of their temperature as well as pH optima and range is crucial to evaluate whether an enzyme is suitable for application in a biotechnological process. These basic characteristics of enzymes are generally determined by two separate measurements. However, these lead to a two-dimensional assessment of the pH range at one temperature (and vice versa) and do not allow prediction of the relative enzymatic performance at any pH/temperature combination of interest. In this work, we demonstrate a new method that is based on experimental data and visualizes the relationship among pH, temperature, and activity at a glance in a three-dimensional contour plot.

RESULTS

In this study, we present a method to determine the relative activity of an enzyme at 96 different combinations of pH and temperature in parallel. For this purpose, we used a gradient PCR cycler and a citrate-phosphate-based buffer system in microtiter plates. The approach was successfully tested with various substrates and diverse assays for glycoside hydrolases. Furthermore, its applicability was demonstrated for single enzymes using the endoglucanase Cel8A from Clostridium thermocellum as well as the commercially available complex enzyme mixture Celluclast^®. Thereby, we developed a fast and adaptable method to determine simultaneously both pH and temperature ranges of enzymes over a wide range of conditions, an easy transformation of the experimental data into a contour plot for visualization, and the necessary controls. With our method, the suitability of an enzyme or enzyme mixture for any chosen combination of temperature and pH can easily be assessed at a glance.

CONCLUSIONS

We propose a method that offers significant advantages over commonly used methods to determine the pH and temperature ranges of enzymes. The overall relationship among pH, temperature, and activity is visualized. Our method could be applied to evaluate exactly what conditions have to be met for optimal utilization of an enzyme or enzyme mixture for both lab-scale and industrial processes. Adaptation to other enzymes, including proteases, should be possible and the method may also lead to a platform for additional applications, such as inactivation kinetics analysis.