Design of the biosensor-dependent coupling system stabilizes the high-synthesis phenotype of cell factory

Microbial cell factories offer a sustainable route to plant-derived natural products, but yield drift and strain degeneration persist. Growth-coupled biosynthesis can continuously enrich high producers, yet specific product-responsive biosensors remain scarce and their population-level effects are unclear. Here, we describe a rapid transcriptome-mining workflow that, as proof-of-concept, delivers yeast biosensors for glycyrrhetinic acid and medicarpin. By fine-tuning PDR5 promoter, we expand the dynamic range of the glycyrrhetinic acid sensor and wire it to an essential gene, establishing a growth-addiction circuit that increases titer by 46.8 % after subculture. Single-cell transcriptome reveals that the evolved strain population exhibits a completely different division of labor compared to the initial strain. Coupling does not eliminate phenotypic heterogeneity; instead, it amplifies a dedicated sub-population marked by discrete transcriptional signatures. Deletion of genes highly expressed in non-producing cells or enrichment of high-producing cell clusters can further boost population-level production. This study provides both a generalizable biosensor-discovery platform and single-cell-guided strategies for stabilizing and optimizing natural-product cell factories.

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Publication Details

Journal
Nature Communications
Published
2026-04-13
DOI
https://doi.org/10.1038/s41467-026-71801-5
Primary Topic
Fungal and yeast genetics research
Type
article
Field-Weighted Citation Impact
0.00

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article

Design of the biosensor-dependent coupling system stabilizes the high-synthesis phenotype of cell factory

Bo Yang, X. B. Li, Chun Li, Lei Qin et al.
Nature Communications
Fungal and yeast genetics research
article

Design of the biosensor-dependent coupling system stabilizes the high-synthesis phenotype of cell factory

Bo Yang, X. B. Li, Chun Li, Lei Qin, Wentao Sun, Stacy Tan, Haocheng Zhang, Qiuyang Li
article en

Abstract

Microbial cell factories offer a sustainable route to plant-derived natural products, but yield drift and strain degeneration persist. Growth-coupled biosynthesis can continuously enrich high producers, yet specific product-responsive biosensors remain scarce and their population-level effects are unclear. Here, we describe a rapid transcriptome-mining workflow that, as proof-of-concept, delivers yeast biosensors for glycyrrhetinic acid and medicarpin. By fine-tuning PDR5 promoter, we expand the dynamic range of the glycyrrhetinic acid sensor and wire it to an essential gene, establishing a growth-addiction circuit that increases titer by 46.8 % after subculture. Single-cell transcriptome reveals that the evolved strain population exhibits a completely different division of labor compared to the initial strain. Coupling does not eliminate phenotypic heterogeneity; instead, it amplifies a dedicated sub-population marked by discrete transcriptional signatures. Deletion of genes highly expressed in non-producing cells or enrichment of high-producing cell clusters can further boost population-level production. This study provides both a generalizable biosensor-discovery platform and single-cell-guided strategies for stabilizing and optimizing natural-product cell factories.

Nature Communications
Tianjin University (CN), Beijing Proteome Research Center (CN), Collaborative Innovation Center of Chemical Science and Engineering Tianjin (CN), Green Chemistry (PL), Ministry of Industry and Information Technology (CN), Tsinghua University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 18%
Fungal and yeast genetics research
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Design of the biosensor-dependent coupling system stabilizes the high-synthesis phenotype of cell factory — Bo Yang, X. B. Li, et al. · Nature Communications (2026) | TGRS Research Map | TGRS