Listen to DAD (Data-optimized Assembly Design) When Constructing High-Complexity Golden Gate Assembly Targets | AIChE

Listen to DAD (Data-optimized Assembly Design) When Constructing High-Complexity Golden Gate Assembly Targets

Authors 

Pryor, J. M. - Presenter, New England Biolabs
Potapov, V., New England Biolabs, Inc.
Pokhrel, N., New England Biolabs
Lohman, G. J. S., New England BioLabs, Inc.
Large DNA constructs (>10 kb), including small genomes and artificial chromosomes, are invaluable tools for genetic engineering and vaccine development. However, the manufacture of these constructs is laborious. To address this problem, we applied new design insights and modified protocols to Golden Gate assembly. While this methodology is routinely used to assemble 5-10 DNA parts in one-step, we found that optimized assembly permitted >50 DNA fragments to be faithfully assembled in a single reaction. We incorporated these findings into a suite of webtools that design assembly reactions, and applied these insights to genome construction, carrying out rapid assembly of the 40 kb T7 bacteriophage genome from 52 parts and recovering infectious phage particles after cellular transformation. The new Golden Gate assembly webtools, protocols, and design principles can be applied to rapidly engineer a wide variety of large and complex assembly targets.