A stationary phase-specific bacterial green light sensor for enhancing metabolite production

Genetically-encoded sensors are used to control protein and metabolite production in bacterial fermentations. However, these sensors are generally optimized for exponential growth rather than stationary phase where production occurs. Here, we find that our previously engineered E. coli green light sensor CcaSR, which functions robustly in exponential phase, fails in stationary phase due to spontaneous loss of an engineered chromophore biosynthetic pathway and accumulation of CcaS and CcaR. We optimize the genetic context and expression determinants of each component, resulting in a stable system named CcaSR<sub>stat</sub> that imposes little metabolic burden, exhibits low leakiness and an 80-fold green light response, and functions exclusively in stationary phase. We combine CcaSR<sub>stat</sub>-driven enzyme expression with varied static and periodic illumination patterns to achieve high titers of the industrially-relevant phenylpropanoid p-Coumaric acid and demonstrate that these optimizations scale to benchtop bioreactor conditions. Finally, we use CcaSR<sub>stat</sub> to optimize the expression level of a co-transcribed multi-enzyme metabolic pathway encoding production of plant-derived betaxanthin family pigments. Stationary phase-optimized bacterial sensors should enhance fermentation productivity by enabling rapid interrogation of the impact of enzyme expression level and induction dynamics.

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Publication Details

Journal
Nature Communications
Published
2025-12-24
DOI
https://doi.org/10.1038/s41467-025-67829-8
Primary Topic
Microbial Metabolism and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

A stationary phase-specific bacterial green light sensor for enhancing metabolite production

Jeffrey J. Tabor, Andrew R. Gilmour, Daniel J. Haller, John T. Lazar et al.
Nature Communications
Microbial Metabolism and Applications
article

A stationary phase-specific bacterial green light sensor for enhancing metabolite production

Jeffrey J. Tabor, Andrew R. Gilmour, Daniel J. Haller, John T. Lazar, Sebastian M. Castillo-Hair, Ross Thyer, Abbas Ghaddar, Kehao Yang, Jae Jin Kim
article en

Abstract

Genetically-encoded sensors are used to control protein and metabolite production in bacterial fermentations. However, these sensors are generally optimized for exponential growth rather than stationary phase where production occurs. Here, we find that our previously engineered E. coli green light sensor CcaSR, which functions robustly in exponential phase, fails in stationary phase due to spontaneous loss of an engineered chromophore biosynthetic pathway and accumulation of CcaS and CcaR. We optimize the genetic context and expression determinants of each component, resulting in a stable system named CcaSR<sub>stat</sub> that imposes little metabolic burden, exhibits low leakiness and an 80-fold green light response, and functions exclusively in stationary phase. We combine CcaSR<sub>stat</sub>-driven enzyme expression with varied static and periodic illumination patterns to achieve high titers of the industrially-relevant phenylpropanoid p-Coumaric acid and demonstrate that these optimizations scale to benchtop bioreactor conditions. Finally, we use CcaSR<sub>stat</sub> to optimize the expression level of a co-transcribed multi-enzyme metabolic pathway encoding production of plant-derived betaxanthin family pigments. Stationary phase-optimized bacterial sensors should enhance fermentation productivity by enabling rapid interrogation of the impact of enzyme expression level and induction dynamics.

Nature CommunicationsVol. 17(1)
Rice University (US)
National Science Foundation, National Defense Science and Engineering Graduate
Openalex Percentile: Top 32%
Microbial Metabolism and Applications
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