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.
Authors
- Bo Yang (ORCID: https://orcid.org/0000-0002-8875-3300)
- X. B. Li
- Chun Li (ORCID: https://orcid.org/0000-0003-4262-6848)
- Lei Qin (ORCID: https://orcid.org/0000-0002-9089-4348)
- Wentao Sun
- Stacy Tan
- Haocheng Zhang
- Qiuyang Li
Institutions
- 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)
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
Funders
- National Natural Science Foundation of China