Emerging Technologies Empowering the Biosynthesis of Paclitaxel

Xiaonan Liu , Yuanyuan Zhang , Jing Li , Huifeng Jiang

Synth. Biol. Eng. ›› 2026, Vol. 4 ›› Issue (2) : 10006

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Synth. Biol. Eng. ›› 2026, Vol. 4 ›› Issue (2) :10006 DOI: 10.70322/sbe.2026.10006
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Emerging Technologies Empowering the Biosynthesis of Paclitaxel
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Abstract

Paclitaxel (Taxol) is a clinically important diterpenoid anticancer drug whose industrial production remains constrained by limited Taxusresources and semi-synthetic routes. Driven by the rapid advancement of genome mining and synthetic biology technologies, the past two years have witnessed substantial breakthroughs in elucidating the biosynthetic pathway of paclitaxel. The pathway constitutes an exceptionally complex biosynthetic network comprising approximately 20 enzymatic steps, predominantly catalyzed by cytochrome P450 monooxygenases, 2-oxoglutarate-dependent dioxygenases (ODDs), and acyltransferases. Nevertheless, microbial production of paclitaxel remains highly obstructed, largely due to inefficient catalytic abilities, enzyme promiscuities, and complex metabolic fluxes. This review summarizes recent progress in elucidating the evolutionary origins and catalytic mechanistic basis of the paclitaxel biosynthetic pathway, with particular emphasis on the emerging technologies and catalytic mechanism studies. Furthermore, current challenges and perspectives for constructing efficient artificial biosynthetic pathways are discussed, providing insights into the future biotechnological production of paclitaxel.

Keywords

Paclitaxel / Pathway analysis / P450 enzyme / Enzyme modification / Synthetic biology

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Xiaonan Liu, Yuanyuan Zhang, Jing Li, Huifeng Jiang. Emerging Technologies Empowering the Biosynthesis of Paclitaxel. Synth. Biol. Eng., 2026, 4 (2) : 10006 DOI:10.70322/sbe.2026.10006

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Statement of the Use of Generative AI and AI-Assisted Technologies in the Writing Process

During the preparation of this manuscript, the authors used DeepSeek and ChatGPT to polish specific sentences to better align with English writing standards. Following the use of these tools, the authors carefully reviewed and edited the content as necessary and assume full responsibility for the content of the published article.

Author Contributions

X.L.: designed, wrote and revised the paper. Y.Z.: wrote the paper and collected the data. J.L.: wrote the paper and collected the data. H.J.: revised the manuscript.

Ethics Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data sharing not applicable to this article as no datasets were generated or analysed during the current study.

Funding

This work was supported by the National Natural Science Foundation of China (Grant No. 32371499), Natural Science Foundation of Wuhan (2025040601020158), Science and Technology Major Project of Guangxi (Guike AA24206048, Guike AA24206050-3, Guike JF2504850012), Hubei University of Technology High-Level Talent Research Startup Fund Program (4301/00960), Hubei Provincial Key R&D Major Projects (2025BCA006), Youth Science and Technology Talent Cultivation Special Program of Hubei Province (2025DJA024).

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

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