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高通量一步法 Golden Gate 组装。

High-Complexity One-Pot Golden Gate Assembly.

机构信息

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

出版信息

Curr Protoc. 2023 Sep;3(9):e882. doi: 10.1002/cpz1.882.

Abstract

Golden Gate Assembly is a flexible method of DNA assembly and cloning that permits the joining of multiple fragments in a single reaction through predefined connections. The method depends on cutting DNA using a Type IIS restriction enzyme, which cuts outside its recognition site and therefore can generate overhangs of any sequence while separating the recognition site from the generated fragment. By choosing compatible fusion sites, Golden Gate permits the joining of multiple DNA fragments in a defined order in a single reaction. Conventionally, this method has been used to join five to eight fragments in a single assembly round, with yield and accuracy dropping off rapidly for more complex assemblies. Recently, we demonstrated the application of comprehensive measurements of ligation fidelity and bias data using data-optimized assembly design (DAD) to enable a high degree of assembly accuracy for very complex assemblies with the simultaneous joining of as many as 52 fragments in one reaction. Here, we describe methods for applying DAD principles and online tools to evaluate the fidelity of existing fusion site sets and assembly standards, selecting new optimal sets, and adding fusion sites to existing assemblies. We further describe the application of DAD to divide known sequences at optimal points, including designing one-pot assemblies of small genomes. Using the T7 bacteriophage genome as an example, we present a protocol that includes removal of native Type IIS sites (domestication) simultaneously with parts generation by PCR. Finally, we present recommended cycling protocols for assemblies of medium to high complexity (12-36 fragments), methods for producing high-quality parts, examples highlighting the importance of DNA purity and fragment stoichiometric balance for optimal assembly outcomes, and methods for assessing assembly success. © 2023 New England Biolabs, Inc. Current Protocols published by Wiley Periodicals LLC. Basic Protocol 1: Assessing the fidelity of an overhang set using the NEBridge Ligase Fidelity Viewer Basic Protocol 2: Generating a high-fidelity overhang set using the NEBridge GetSet Tool Alternate Protocol 1: Expanding an existing overhang set using the NEBridge GetSet Tool Basic Protocol 3: Dividing a genomic sequence with optimal fusion sites using the NEBridge SplitSet Tool Basic Protocol 4: One-pot Golden Gate Assembly of 12 fragments into a destination plasmid Alternate Protocol 2: One-pot Golden Gate Assembly of 24+ fragments into a destination plasmid Basic Protocol 5: One-pot Golden Gate Assembly of the T7 bacteriophage genome from 12+ parts Support Protocol 1: Generation of high-purity amplicons for assembly Support Protocol 2: Cloning assembly parts into a holding vector Support Protocol 3: Quantifying DNA concentration using a Qubit 4 fluorometer Support Protocol 4: Visualizing large assemblies via TapeStation Support Protocol 5: Validating phage genome assemblies via ONT long-read sequencing.

摘要

金门装配是一种灵活的 DNA 装配和克隆方法,可通过预定义的连接在单个反应中连接多个片段。该方法依赖于使用 Type IIS 限制酶切割 DNA,该酶在其识别位点之外切割,因此可以在分离识别位点和生成的片段的同时生成任何序列的突出端。通过选择兼容的融合位点,金门允许在单个反应中按定义的顺序连接多个 DNA 片段。传统上,该方法已用于在单个装配回合中连接五个到八个片段,而对于更复杂的装配,产量和准确性会迅速下降。最近,我们展示了使用数据优化装配设计 (DAD) 对连接保真度和偏差数据进行综合测量的应用,从而能够实现非常复杂的装配的高度装配精度,同时在一个反应中连接多达 52 个片段。在这里,我们描述了应用 DAD 原则和在线工具来评估现有融合位点集和装配标准的保真度、选择新的最优集以及向现有装配中添加融合位点的方法。我们进一步描述了 DAD 在最佳点处分割已知序列的应用,包括设计小基因组的一锅组装。我们以 T7 噬菌体基因组为例,提出了一种方案,其中包括同时通过 PCR 生成部分来去除天然 Type IIS 位点(驯化)。最后,我们为中等至高度复杂(12-36 个片段)的装配提供了推荐的循环方案,用于生成高质量部分的方法,强调 DNA 纯度和片段化学计量平衡对最佳装配结果的重要性的示例,以及评估装配成功的方法。 © 2023 新英格兰生物实验室公司。由 Wiley Periodicals LLC 出版的当前方案。基本方案 1:使用 NEBridge 连接酶保真度查看器评估突出端集的保真度基本方案 2:使用 NEBridge GetSet 工具生成高保真度突出端集备选方案 1:使用 NEBridge GetSet 工具扩展现有突出端集基本方案 3:使用 NEBridge SplitSet 工具在具有最佳融合位点的基因组序列中进行分割基本方案 4:将 12 个片段一次性组装到一个目的质粒中备选方案 2:将 24 个+片段一次性组装到一个目的质粒中基本方案 5:从 12 个+个部分一次性组装 T7 噬菌体基因组支持方案 1:用于装配的高纯度扩增子的生成支持方案 2:将组装部件克隆到持有载体中支持方案 3:使用 Qubit 4 荧光计定量 DNA 浓度支持方案 4:通过 TapeStation 可视化大型装配支持方案 5:通过 ONT 长读测序验证噬菌体基因组装配。

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