A stepwise approach for the reproducible optimization of PAMO expression in Escherichia coli for whole-cell biocatalysis

BMC Biotechnology

Edwin van Bloois²  Hanna M Dudek¹  Wouter A Duetz²  Marco W Fraaije¹ 

[1] Laboratory of Biochemistry, Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Nijenborgh 4, 9747 AG, Groningen, The Netherlands

[2] Enzyscreen BV, Tingietersweg 127, 2031 ER, Haarlem, The Netherlands

关键词: Screening;    Square deep-well microtiter plates;    Biocatalysis;    Escherichia coli;    Baeyer-Villiger monoxygenase;   

Others  :  1135121
DOI  :  10.1186/1472-6750-12-31

 received in 2012-02-07, accepted in 2012-06-21,  发布年份 2012

【 摘 要 】

Background

Baeyer-Villiger monooxygenases (BVMOs) represent a group of enzymes of considerable biotechnological relevance as illustrated by their growing use as biocatalyst in a variety of synthetic applications. However, due to their increased use the reproducible expression of BVMOs and other biotechnologically relevant enzymes has become a pressing matter while knowledge about the factors governing their reproducible expression is scattered.

Results

Here, we have used phenylacetone monooxygenase (PAMO) from Thermobifida fusca, a prototype Type I BVMO, as a model enzyme to develop a stepwise strategy to optimize the biotransformation performance of recombinant E. coli expressing PAMO in 96-well microtiter plates in a reproducible fashion. Using this system, the best expression conditions of PAMO were investigated first, including different host strains, temperature as well as time and induction period for PAMO expression. This optimized system was used next to improve biotransformation conditions, the PAMO-catalyzed conversion of phenylacetone, by evaluating the best electron donor, substrate concentration, and the temperature and length of biotransformation. Combining all optimized parameters resulted in a more than four-fold enhancement of the biocatalytic performance and, importantly, this was highly reproducible as indicated by the relative standard deviation of 1% for non-washed cells and 3% for washed cells. Furthermore, the optimized procedure was successfully adapted for activity-based mutant screening.

Conclusions

Our optimized procedure, which provides a comprehensive overview of the key factors influencing the reproducible expression and performance of a biocatalyst, is expected to form a rational basis for the optimization of miniaturized biotransformations and for the design of novel activity-based screening procedures suitable for BVMOs and other NAD(P)H-dependent enzymes as well.

【 授权许可】

   
2012 van Bloois et al.; licensee BioMed Central Ltd.

【 图 表 】

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