Metabolic Engineering Strategies for Flavonoid Biosynthesis in <i>Saccharomyces cerevisiae</i> : Current Advances and Future Perspectives

Flavonoids are a class of plant secondary metabolites with diverse physiological activities, including antioxidant and anti-inflammatory effects. Growing demand for these compounds now exceeds the capacity of traditional plant extraction methods. Advances in the elucidation of flavonoid biosynthetic pathways, combined with progress in synthetic biology, have enabled the use of engineered microorganisms for sustainable flavonoid production. Saccharomyces cerevisiae, with its well-developed genetic toolkit, high safety profile, and eukaryotic protein modification machinery, has emerged as an ideal chassis for the heterologous biosynthesis of flavonoids. This review systematically outlines the structural classification and biosynthetic pathways of flavonoids, summarizes recent advances in pathway reconstruction, and provides a quantitative comparison of metabolic engineering strategies in S. cerevisiae. We further discuss the key bottlenecks that currently hinder scale‑up from laboratory flasks to industrial bioreactors and propose that future research should focus on intelligent regulatory systems. When combined with rational design of metabolic networks and microbial consortia, such systems can enable adaptive balancing between growth and product synthesis under industrial-scale environmental fluctuations. Collectively, these intelligent engineering strategies will advance S. cerevisiae as an efficient and scalable platform for flavonoid biomanufacturing.

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Publication Details

Journal
Biotechnology and Bioengineering
Published
2026-05-21
DOI
https://doi.org/10.1002/bit.70248
Primary Topic
Plant Gene Expression Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Metabolic Engineering Strategies for Flavonoid Biosynthesis in Saccharomyces cerevisiae : Current Advances and Future Perspectives

Min Chung Han, Weibo Qiao, Guogeng Zhang, Lei Wang et al.
Biotechnology and Bioengineering
Plant Gene Expression Analysis
article

Metabolic Engineering Strategies for Flavonoid Biosynthesis in Saccharomyces cerevisiae : Current Advances and Future Perspectives

Min Chung Han, Weibo Qiao, Guogeng Zhang, Lei Wang, Yong Ma, Xu Cheng
article en

Abstract

Flavonoids are a class of plant secondary metabolites with diverse physiological activities, including antioxidant and anti-inflammatory effects. Growing demand for these compounds now exceeds the capacity of traditional plant extraction methods. Advances in the elucidation of flavonoid biosynthetic pathways, combined with progress in synthetic biology, have enabled the use of engineered microorganisms for sustainable flavonoid production. Saccharomyces cerevisiae, with its well-developed genetic toolkit, high safety profile, and eukaryotic protein modification machinery, has emerged as an ideal chassis for the heterologous biosynthesis of flavonoids. This review systematically outlines the structural classification and biosynthetic pathways of flavonoids, summarizes recent advances in pathway reconstruction, and provides a quantitative comparison of metabolic engineering strategies in S. cerevisiae. We further discuss the key bottlenecks that currently hinder scale‑up from laboratory flasks to industrial bioreactors and propose that future research should focus on intelligent regulatory systems. When combined with rational design of metabolic networks and microbial consortia, such systems can enable adaptive balancing between growth and product synthesis under industrial-scale environmental fluctuations. Collectively, these intelligent engineering strategies will advance S. cerevisiae as an efficient and scalable platform for flavonoid biomanufacturing.

Biotechnology and Bioengineering
Tianjin University of Science and Technology (CN), Beijing Research Institute of Mechanical and Electrical Technology (CN)
China Postdoctoral Science Foundation, Beijing Postdoctoral Science Foundation
Industry, innovation and infrastructure
Openalex Percentile: Top 9%
Plant Gene Expression Analysis
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