Deciphering and harnessing promoter-driven feedback controllers to mitigate metabolic burden in Corynebacterium glutamicum
Artikel i vetenskaplig tidskrift, 2026

Metabolic burden arises from the reallocation of cellular resources, often resulting in stress-associated phenotypes and compromised cellular performance. However, the molecular mechanisms by which industrial microorganisms perceive and alleviate such burdens remain largely unexplored. Here, we present an online monitor to quantify metabolic burden imposed by genetic and environmental perturbations in the workhorse Corynebacterium glutamicum. RNA-seq analysis revealed a shared host response and enabled the identification of several early-responsive promoters through in vivo burden assays. Leveraging these elements, particularly the cg1940 promoter, we successfully engineered dynamic feedback systems to alleviate metabolic burden associated with suboptimal expression. Notably, the identified promoter retained burden responsiveness in Escherichia coli, suggesting potential cross-species applicability. As a proof of concept, this feedback controller was applied to improve cell growth, protein synthesis, and chemical bioproduction. This technology offers a strategy for bolstering the robustness of C. glutamicum and potentially other microorganisms.

feedback regulation

metabolic burden

burden-responsive promoters

C. glutamicum

Författare

Hongyu Zhang

Tianjin Institute of Industrial Biotechnology

Chinese Academy of Sciences

Zhongxin Zhang

College of Biological and Agricultural Engineering

Yanan Chen

Tianjin Institute of Industrial Biotechnology

Chinese Academy of Sciences

Lingcong Li

Chinese Academy of Sciences

Tianjin Institute of Industrial Biotechnology

Jiwei Mao

Chalmers, Life sciences, Systembiologi

Liang Wei

National Technology Innovation Center of Synthetic Biology

Tianjin Institute of Industrial Biotechnology

Jian Wang

College of Biological and Agricultural Engineering

Yan Zhu

Tianjin Institute of Industrial Biotechnology

National Technology Innovation Center of Synthetic Biology

Yun Chen

Chalmers, Life sciences, Systembiologi

Jens B Nielsen

Chalmers, Life sciences, Systembiologi

BioInnovation Institute

Ning Xu

Chinese Academy of Sciences

Tianjin Institute of Industrial Biotechnology

National Technology Innovation Center of Synthetic Biology

Jun Liu

Chinese Academy of Sciences

National Technology Innovation Center of Synthetic Biology

Tianjin Institute of Industrial Biotechnology

Trends in Biotechnology

0167-7799 (ISSN) 18793096 (eISSN)

Vol. In Press

Ämneskategorier (SSIF 2025)

Mikrobiologi

DOI

10.1016/j.tibtech.2026.02.020

PubMed

41945032

Mer information

Senast uppdaterat

2026-04-13