Yuanwei Gou, Bin Jiang, Xiaojing Jiang, Yiwei Zhang, Binbin Chen, Jiaojiao Zhang, Dongfang Li, Yajie Wang, Jianbin Yan, Jiazhang Lian
{"title":"Engineering an Artificial Taxol Biosynthetic Pathway from Baccatin III in Yeast","authors":"Yuanwei Gou, Bin Jiang, Xiaojing Jiang, Yiwei Zhang, Binbin Chen, Jiaojiao Zhang, Dongfang Li, Yajie Wang, Jianbin Yan, Jiazhang Lian","doi":"10.1021/acssynbio.6c00148","DOIUrl":null,"url":null,"abstract":"<p>Paclitaxel (Taxol) is among the most successful natural\r\nanticancer\r\nagents, yet its manufacturing still relies on expensive semisynthetic\r\nmethods carried out under harsh alkaline conditions. Deciphering the\r\nentire Taxol biosynthetic pathway has been a longstanding challenge\r\nfor over 50 years because of its complex regulatory network, but it\r\nhas only recently been understood. Differences between plant and microbial\r\nsystems render current knowledge insufficient for scalable biotechnological\r\nproduction, necessitating systematic metabolic engineering to overcome\r\nmultiple bottlenecks. Artificial pathways can compensate for an incomplete\r\nunderstanding of native biosynthesis and offer an alternative strategy\r\nto alleviate supply constraints. Here, we report the construction\r\nof an artificial pathway in yeast that uses (<em>2R,3S</em>)-3-phenylisoserine as the substrate and requires only three enzymatic\r\nsteps to convert baccatin III to Taxol, demonstrating the broad substrate\r\nscope of β-phenylalanoyl-CoA ligases (PCLs). Structure–activity\r\nanalysis of Baccatin III:3-amino-3-phenylpropanoyltransferase (BAPT)\r\nis further employed to enhance its catalytic efficiency toward non-natural\r\nsubstrates. This work offers a practical strategy for the first step\r\nof sustainable production of Taxol using synthetic biology.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":"15 8","pages":"3261–3271"},"PeriodicalIF":4.5000,"publicationDate":"2026-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Synthetic Biology","FirstCategoryId":"99","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acssynbio.6c00148","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2026/5/26 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Paclitaxel (Taxol) is among the most successful natural
anticancer
agents, yet its manufacturing still relies on expensive semisynthetic
methods carried out under harsh alkaline conditions. Deciphering the
entire Taxol biosynthetic pathway has been a longstanding challenge
for over 50 years because of its complex regulatory network, but it
has only recently been understood. Differences between plant and microbial
systems render current knowledge insufficient for scalable biotechnological
production, necessitating systematic metabolic engineering to overcome
multiple bottlenecks. Artificial pathways can compensate for an incomplete
understanding of native biosynthesis and offer an alternative strategy
to alleviate supply constraints. Here, we report the construction
of an artificial pathway in yeast that uses (2R,3S)-3-phenylisoserine as the substrate and requires only three enzymatic
steps to convert baccatin III to Taxol, demonstrating the broad substrate
scope of β-phenylalanoyl-CoA ligases (PCLs). Structure–activity
analysis of Baccatin III:3-amino-3-phenylpropanoyltransferase (BAPT)
is further employed to enhance its catalytic efficiency toward non-natural
substrates. This work offers a practical strategy for the first step
of sustainable production of Taxol using synthetic biology.
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.