A high-throughput platform for feedback-controlled directed evolution
| Autor: | DeBenedictis, Erika A., Chory, Emma J., Gretton, Dana, Wang, Brian, Esvelt, Kevin |
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| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
Computer science Distributed computing Mutagenesis Protein engineering Directed evolution Replication (computing) 03 medical and health sciences 0302 clinical medicine Parallel evolution Throughput (business) Massively parallel 030217 neurology & neurosurgery Selection (genetic algorithm) 030304 developmental biology |
| DOI: | 10.1101/2020.04.01.021022 |
| Popis: | Continuous directed evolution rapidly implements cycles of mutagenesis, selection, and replication to accelerate protein engineering. However, individual experiments are typically cumbersome, reagent-intensive, and require manual readjustment, limiting the number of evolutionary trajectories that can be explored. We report the design and validation of Phage-and-Robotics-Assisted Near-Continuous Evolution (PRANCE), an automation platform for the continuous directed evolution of biomolecules that enables real-time activitydependent reporter and absorbance monitoring of up to 96 parallel evolution experiments. We use this platform to characterize the evolutionary stochasticity of T7 RNA polymerase evolution, conserve precious reagents with miniaturized evolution volumes during evolution of aminoacyl-tRNA synthetases, and perform a massively parallel evolution of diverse candidate quadruplet tRNAs. Finally, we implement a feedback control system that autonomously modifies the selection strength in response to real-time fitness measurements. By addressing many of the limitations of previous methods within a single platform, PRANCE simultaneously enables multiplexed, miniaturized, and feedback-controlled continuous directed evolution. |
| Databáze: | OpenAIRE |
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