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用于加速微生物天然产物发现的下一代合成生物学方法。

Next-generation synthetic biology approaches for the accelerated discovery of microbial natural products.

作者信息

Li Lei

机构信息

State Key Laboratory of Microbial Metabolism and School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, 800 Dongchuan Rd., Shanghai 200240, China.

出版信息

Eng Microbiol. 2022 Nov 19;3(1):100060. doi: 10.1016/j.engmic.2022.100060. eCollection 2023 Mar.

Abstract

Microbial natural products (NPs) and their derivates have been widely used in health care and agriculture during the past few decades. Although large-scale bacterial or fungal (meta)genomic mining has revealed the tremendous biosynthetic potentials to produce novel small molecules, there remains a lack of universal approaches to link NP biosynthetic gene clusters (BGCs) to their associated products at a large scale and speed. In the last ten years, a series of emerging technologies have been established alongside the developments in synthetic biology to engineer cryptic metabolite BGCs and edit host genomes. Diverse computational tools, such as antiSMASH and PRISM, have also been simultaneously developed to rapidly identify BGCs and predict the chemical structures of their products. This review discusses the recent developments and trends pertaining to the accelerated discovery of microbial NPs driven by a wide variety of next-generation synthetic biology approaches, with an emphasis on the activation of silent BGCs at scale, the direct cloning or refactoring of BGCs of interest for heterologous expression, and the synthetic-bioinformatic natural products (syn-BNP) approach for the guided rapid access of bioactive non-ribosomal peptides.

摘要

在过去几十年中,微生物天然产物(NPs)及其衍生物已广泛应用于医疗保健和农业领域。尽管大规模的细菌或真菌(宏)基因组挖掘揭示了产生新型小分子的巨大生物合成潜力,但仍然缺乏大规模、快速地将NP生物合成基因簇(BGCs)与其相关产物联系起来的通用方法。在过去十年中,随着合成生物学的发展,一系列新兴技术得以建立,用于改造隐秘代谢物BGCs和编辑宿主基因组。同时,也开发了多种计算工具,如antiSMASH和PRISM,以快速识别BGCs并预测其产物的化学结构。本综述讨论了由各种下一代合成生物学方法驱动的微生物NPs加速发现的最新进展和趋势,重点关注大规模激活沉默BGCs、直接克隆或重构感兴趣的BGCs以进行异源表达,以及用于引导快速获取生物活性非核糖体肽的合成生物信息学天然产物(syn-BNP)方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2864/11610963/a1bad69c0d96/ga1.jpg

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