Developing a nanopore sequencing workflow for protein engineering applications

Abstract

Abstract Sequencing plays a critical role in protein engineering, where the genetic information encoding for a desired mutation can be identified. We evaluated the performance of two commercially available NGS technologies (Illumina NGS and nanopore sequencing) on the available mutant libraries that were either previously constructed for other protein engineering projects or were constructed in-house for this study. The sequencing results from Illumina sequencing indicated that a substantial proportion of the reads exhibited strand exchange, which mixed information of different mutants. When nanopore sequencing was used, the occurrence of strand exchange was substantially reduced compared with Illumina sequencing. We then developed a new library preparation workflow for nanopore sequencing and was successful in further reducing the incidence of strand exchange. The optimized workflow was successfully used to aid selection of improved alcohol dehydrogenase mutants in cells where their activities were coupled with cell growth rate. The workflow quantified the enrichment fold change of most mutants in the library (size = 1,728) in the growth-based selection passaging. A mutant that was > 500% more active than its parent variant was identified based on the fold change data, but not with the absolute abundance data (random sampling of the passaged cells), highlighting the usefulness of this rapid and affordable sequencing workflow in protein engineering.