Advancements in Microbial Cell Engineering for Benzylisoquinoline Alkaloid Production.

IF 3.7 2区生物学 Q1 BIOCHEMICAL RESEARCH METHODS

ACS Synthetic Biology Pub Date : 2024-12-20 Epub Date: 2024-11-23 DOI:10.1021/acssynbio.4c00599

Liyan Cao, Desmond Teo, Yuyang Wang, Qingqing Ye, Chang Liu, Chen Ding, Xiangyu Li, Mingxin Chang, Yuqing Han, Zhuo Li, Xu Sun, Qingeng Huang, Cui-Ying Zhang, Jee Loon Foo, Adison Wong, Aiqun Yu

引用次数: 0

Abstract

Benzylisoquinoline alkaloids (BIAs) are a class of natural compounds found in plants of the Ranunculaceae family, known for their diverse pharmacological activities. However, the extraction yields of BIAs from plants are limited, and the cost of chemical synthesis is prohibitively high. Recent advancements in systems metabolic engineering and genomics have made it feasible to use microbes as bioreactors for BIAs production. This review explores recent progress in enhancing the production and yields of BIAs in two microbial systems: Escherichia coli and Saccharomyces cerevisiae. It covers various BIAs, including (S)-reticuline, morphinane, protoberberine, and aporphine alkaloids. The review provides strategies and technologies for BIAs synthesis, analyzes current challenges in BIAs research, and offers recommendations for future research directions.

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用于生产苄基异喹啉类生物碱的微生物细胞工程的进展。

苄基异喹啉生物碱（BIAs）是存在于毛茛科植物中的一类天然化合物，以其多种多样的药理活性而闻名。然而，从植物中提取 BIAs 的产量有限，而且化学合成的成本过高。系统代谢工程和基因组学的最新进展使得利用微生物作为生物反应器生产 BIAs 变得可行。本综述探讨了两种微生物系统在提高 BIAs 产量方面的最新进展：大肠杆菌和酿酒酵母。它涵盖了各种 BIA，包括 (S)-reticuline、吗啡烷、原小檗碱和卟吩生物碱。该综述提供了合成 BIAs 的策略和技术，分析了当前 BIAs 研究面临的挑战，并对未来的研究方向提出了建议。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Synthetic Biology 生物-

CiteScore

8.00

自引率

10.60%

发文量

380

审稿时长

6-12 weeks

期刊介绍： The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.