酵母
合成生物学
人口
转录组
表型
生物
计算生物学
拉伤
细胞
细胞生物学
产量(工程)
联轴节(管道)
基因
酿酒酵母
生物合成
化学
系统生物学
细胞分裂
代谢工程
生物传感器
生物化学
遗传学
作者
Lei Qin,Bo Yang,Rui Huang,Haocheng Zhang,Qiuyang Li,X. B. Li,Stacy Tan,Wentao Sun,Haiyang Jia,Bing Hu,Bo Lv,Chun Li
标识
DOI:10.1038/s41467-026-71801-5
摘要
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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