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High-Complexity One-Pot Golden Gate Assembly.

Andrew P Sikkema1, S Kasra Tabatabaei1, Yan-Jiun Lee1

  • 1Research Department, New England Biolabs, Ipswich, Massachusetts, USA.

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|September 27, 2023
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Summary
This summary is machine-generated.

This study enhances DNA assembly using data-optimized design (DAD) for high accuracy in complex Golden Gate Assembly projects. DAD enables joining many DNA fragments efficiently, improving cloning yields and success rates.

Keywords:
Golden Gate Assemblydata-optimized assembly designmultigene constructssmall genome assemblysynthetic biology

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Area of Science:

  • Molecular Biology
  • Synthetic Biology
  • Biotechnology

Background:

  • Golden Gate Assembly is a versatile DNA cloning method using Type IIS restriction enzymes for joining multiple DNA fragments in a single reaction.
  • Traditional Golden Gate Assembly methods face limitations in accuracy and yield when assembling a large number of fragments (typically 5-8).
  • Recent advancements have shown the potential for highly complex assemblies, joining up to 52 fragments with improved accuracy.

Purpose of the Study:

  • To describe methods for applying Data-Optimized Assembly Design (DAD) principles and online tools to enhance Golden Gate Assembly.
  • To evaluate and optimize fusion site sets, divide genomic sequences, and design one-pot assemblies for complex DNA constructs.
  • To provide protocols for high-complexity assemblies, including T7 bacteriophage genome assembly, and methods for assessing success.

Main Methods:

  • Application of DAD principles and online tools (NEBridge Ligase Fidelity Viewer, GetSet Tool, SplitSet Tool) for evaluating and selecting fusion sites.
  • Design and execution of one-pot Golden Gate Assemblies for medium to high complexity (12-36 fragments), including small genome assembly.
  • Protocols for generating high-purity DNA parts, quantifying DNA, visualizing assemblies, and validating results using long-read sequencing.

Main Results:

  • Demonstrated high assembly accuracy for complex assemblies by joining up to 52 fragments using DAD.
  • Developed and presented methods for optimizing fusion sites, dividing genomic sequences, and performing one-pot assemblies.
  • Successfully assembled the T7 bacteriophage genome from multiple parts, showcasing the practical application of DAD principles.

Conclusions:

  • Data-Optimized Assembly Design (DAD) significantly improves the accuracy and efficiency of complex Golden Gate Assembly.
  • The described methods and online tools facilitate the design and execution of challenging DNA assembly projects.
  • This approach enables the construction of complex DNA molecules, including entire genomes, with high fidelity.