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一种用于筛选多种单萜合酶文库的自动化管道。

An automated pipeline for the screening of diverse monoterpene synthase libraries.

机构信息

Manchester Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM), Manchester Institute of Biotechnology and School of Chemistry, University of Manchester, Manchester, United Kingdom.

出版信息

Sci Rep. 2019 Aug 15;9(1):11936. doi: 10.1038/s41598-019-48452-2.

DOI:10.1038/s41598-019-48452-2
PMID:31417136
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6695433/
Abstract

Monoterpenoids are a structurally diverse group of natural products with applications as pharmaceuticals, flavourings, fragrances, pesticides, and biofuels. Recent advances in synthetic biology offer new routes to this chemical diversity through the introduction of heterologous isoprenoid production pathways into engineered microorganisms. Due to the nature of the branched reaction mechanism, monoterpene synthases often produce multiple products when expressed in monoterpenoid production platforms. Rational engineering of terpene synthases is challenging due to a lack of correlation between protein sequence and cyclisation reaction catalysed. Directed evolution offers an attractive alternative protein engineering strategy as limited prior sequence-function knowledge is required. However, directed evolution of terpene synthases is hampered by the lack of a convenient high-throughput screening assay for the detection of multiple volatile terpene products. Here we applied an automated pipeline for the screening of diverse monoterpene synthase libraries, employing robotic liquid handling platforms coupled to GC-MS, and automated data extraction. We used the pipeline to screen pinene synthase variant libraries, with mutations in three areas of plasticity, capable of producing multiple monoterpene products. We successfully identified variants with altered product profiles and demonstrated good agreement between the results of the automated screen and traditional shake-flask cultures. In addition, useful insights into the cyclisation reaction catalysed by pinene synthase were obtained, including the identification of positions with the highest level of plasticity, and the significance of region 2 in carbocation cyclisation. The results obtained will aid the prediction and design of novel terpene synthase activities towards clean monoterpenoid products.

摘要

单萜类化合物是一组结构多样的天然产物,具有作为药物、香料、香精、农药和生物燃料的应用。合成生物学的最新进展通过将异源萜烯生产途径引入工程微生物中,为这种化学多样性提供了新的途径。由于支化反应机制的性质,当单萜合酶在单萜生产平台中表达时,通常会产生多种产物。由于缺乏与环化反应催化相关的蛋白质序列相关性,理性工程萜烯合酶具有挑战性。定向进化提供了一种有吸引力的替代蛋白质工程策略,因为需要的先验序列-功能知识有限。然而,由于缺乏用于检测多种挥发性萜烯产物的方便高通量筛选测定法,萜烯合酶的定向进化受到阻碍。在这里,我们应用了一种自动化的筛选多样化单萜合酶文库的方法,该方法采用与 GC-MS 耦合的机器人液体处理平台和自动化数据提取。我们使用该流水线筛选了具有三个可塑性区域突变的蒎烯合酶变体文库,这些突变能够产生多种单萜产物。我们成功地鉴定出了具有改变的产物谱的变体,并证明了自动化筛选和传统摇瓶培养之间的结果具有良好的一致性。此外,还获得了有关蒎烯合酶催化的环化反应的有用见解,包括鉴定出具有最高可塑性的位置以及区域 2 在碳正离子环化中的重要性。获得的结果将有助于预测和设计针对清洁单萜类产物的新型萜烯合酶活性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6695433/cf220257f991/41598_2019_48452_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6695433/c411374f9f4b/41598_2019_48452_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6695433/777749d71987/41598_2019_48452_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6695433/4444343a858c/41598_2019_48452_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6695433/e12732a1018e/41598_2019_48452_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6695433/74a49e3bf0df/41598_2019_48452_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6695433/cf220257f991/41598_2019_48452_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6695433/c411374f9f4b/41598_2019_48452_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6695433/777749d71987/41598_2019_48452_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6695433/4444343a858c/41598_2019_48452_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6695433/e12732a1018e/41598_2019_48452_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6695433/74a49e3bf0df/41598_2019_48452_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/94bf/6695433/cf220257f991/41598_2019_48452_Fig6_HTML.jpg

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