Iterative Genome Engineering for Rapid Improvement of Protein Activity and Production

The Design–Generate–Test–Learn (DGTL) cycle represents an efficient approach to biological engineering, from single-gene to whole-genome scale. Significant improvement can be achieved in a short amount of time by recombining beneficial edits through iterative cycles of genome editing. In order to cut down development times, all aspects of the DGLT cycle must be optimized. The Onyx™ Digital Genome Engineering Platform automates the Design and Generate steps, allowing the user to create thousands of edits, identify the beneficial variants, and construct new libraries based on the improved strains – all in an integrated, seamless workflow. Here we demonstrate how Iterative Genome Engineering can be used to discover novel protein variants, optimize expression, and improve heterologous protein production in yeast and E. coli strains.

 

Learning Objectives