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Enzyme engineering: A synthetic biology approach for more effective library generation and automated high-throughput screening

机译:酶工程:一种合成生物学方法可更有效地生成文库和自动进行高通量筛选

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摘要

The Golden Gate strategy entails the use of type IIS restriction enzymes, which cut outside of their recognition sequence. It enables unrestricted design of unique DNA fragments that can be readily and seamlessly recombined. Successfully employed in other synthetic biology applications, we demonstrate its advantageous use to engineer a biocatalyst. Hot-spots for mutations were individuated in three distinct regions of Candida antarctica lipase A (Cal-A), the biocatalyst chosen as a target to demonstrate the versatility of this recombination method. The three corresponding gene segments were subjected to the most appropriate method of mutagenesis (targeted or random). Their straightforward reassembly allowed combining products of different mutagenesis methods in a single round for rapid production of a series of diverse libraries, thus facilitating directed evolution. Screening to improve discrimination of short-chain versus long-chain fatty acid substrates was aided by development of a general, automated method for visual discrimination of the hydrolysis of varied substrates by whole cells.
机译:金门策略需要使用IIS类型的限制酶,该酶会限制其识别序列。它可以无限制地设计独特的DNA片段,这些片段可以轻松,无缝地重组。我们成功地将其用于其他合成生物学应用,证明了其在工程化生物催化剂方面的有利用途。突变的热点在南极假丝酵母脂肪酶A(Cal-A)的三个不同区域中进行了个性化选择,该生物催化剂被选为目标,以证明该重组方法的多功能性。对三个相应的基因片段进行了最合适的诱变方法(靶向或随机)。它们的直接重组使得可以在单个回合中组合不同诱变方法的产品,从而快速产生一系列多样化的文库,从而促进定向进化。通过开发一种通用的,自动化的方法来目测判别整个细胞对各种底物的水解情况,从而有助于提高短链脂肪酸底物对长链脂肪酸底物的辨别力。

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