ABSTRACT
A fully automatized robotic platform has been established to facilitate high-throughput screening for protein engineering purposes. This platform enables proper monitoring and control of growth conditions in the microtiter plate format to ensure precise enzyme production for the interrogation of enzyme mutant libraries, protein stability tests and multiple assay screenings. The performance of this system has been exemplified for four enzyme classes important for biocatalysis such as Baeyer-Villiger monooxygenase, transaminase, dehalogenase and acylase in the high-throughput screening of various mutant libraries. This allowed the identification of novel enzyme variants in a sophisticated and highly reliable manner. Furthermore, the detailed optimization protocols should enable other researchers to adapt and improve their methods. Biotechnol. Bioeng. 2016;113: 1421-1432. © 2016 Wiley Periodicals, Inc.
Subject(s)
Automation, Laboratory , Enzyme Assays , High-Throughput Screening Assays , Protein Engineering , Robotics/instrumentation , Automation, Laboratory/instrumentation , Automation, Laboratory/methods , Enzyme Assays/instrumentation , Enzyme Assays/methods , Equipment Design , High-Throughput Screening Assays/instrumentation , High-Throughput Screening Assays/methods , Protein Engineering/instrumentation , Protein Engineering/methods , Small Molecule Libraries , TransaminasesABSTRACT
Based on natural selection and the survival of the fittest by evolutionary adaption, a smart high-throughput system was developed to select active haloalkane dehalogenase variants from a large mutant library. Only active enzyme variants can hydrolyse toxic halogenated alkanes to promote growth, whereas inactive mutants starve or die due to the toxic compound. With this powerful tool, huge enzyme mutant libraries can be screened within a few days. The selection is done without any artificial substrates that are hard to synthesize and they also resemble typical ones for haloalkane dehalogenases. Three saturation libraries, with a size of more than 10(6) cells, based on inactive variants of the haloalkane dehalogenases DhaA or DhlA were successfully screened to retrieve active enzymes. The enrichment of the active wild-type enzyme in contrast to the inactive variants was about 340-fold. In addition, this selection approach can be applied for continuous directed evolution experiments for the enrichment of cells expressing adapted haloalkane dehalogenases.
