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Rapid 40 kb Genome Construction from 52 Parts through Data-optimized Assembly Design
John M Pryor1, Vladimir Potapov1, Katharina Bilotti1
1Research Department, New England Biolabs, Ipswich, Massachusetts 01938, United States.
ACS Synthetic Biology
|May 25, 2022
Summary
Golden Gate assembly (GGA) efficiently constructs large DNA molecules from many fragments in one step. This method was optimized to assemble over 50 DNA parts, including the 40 kb T7 bacteriophage genome, enabling rapid genetic engineering.
Area of Science:
- Molecular Biology
- Synthetic Biology
- Genomics
Background:
- Large DNA constructs are essential for genetic engineering and therapeutic development.
- Current methods for large DNA construct synthesis are often laborious and multi-step.
- Golden Gate assembly (GGA) is an in vitro DNA assembly method typically used for fewer DNA parts.
Purpose of the Study:
- To evaluate the potential of Golden Gate assembly (GGA) for constructing large DNA targets from numerous fragments in a single reaction.
- To optimize GGA for assembling a high number of DNA parts simultaneously.
- To apply optimized GGA to the de novo synthesis of a complex genome.
Main Methods:
- Optimization of Golden Gate assembly (GGA) reaction conditions.
- Assembly of over 50 DNA fragments into a single large construct.
- Application of GGA to synthesize the 40 kb T7 bacteriophage genome from up to 52 individual DNA parts.
- Transformation of assembled T7 genome into host cells and recovery of infectious phage particles.
Main Results:
- Optimized GGA enabled the assembly of more than 50 DNA fragments in a single reaction.
- The 40 kb T7 bacteriophage genome was successfully assembled from 52 DNA parts using the optimized GGA protocol.
- Infectious T7 phage particles were recovered after cellular transformation with the synthesized genome.
Conclusions:
- Golden Gate assembly (GGA) can be effectively optimized to assemble large DNA constructs from a high number of fragments in one step.
- The described protocols and design principles facilitate rapid engineering of large and complex DNA targets.
- This approach has significant implications for synthetic biology, genetic engineering, and therapeutic development.

