Mathéo Delvenne, Juan Andres Martinez, Cees Haringa, Henk Noorman, Steven Minden, Ralf Takors, Frank Delvigne
{"title":"Overriding Bioprocess Perturbations With a Cell–Machine Interface for Reliable Microbial Stress-Response Control","authors":"Mathéo Delvenne, Juan Andres Martinez, Cees Haringa, Henk Noorman, Steven Minden, Ralf Takors, Frank Delvigne","doi":"10.1111/1751-7915.70329","DOIUrl":null,"url":null,"abstract":"<p>Controlling cell population dynamics and phenotypic diversification is a key objective in systems and synthetic biology, particularly for ensuring uniform responses from engineered gene circuits. While cell–machine interfaces have been employed to modulate host–gene circuit interactions, environmental perturbations typical of industrial bioreactor conditions remain underexplored. In this study, we investigate the impact of such perturbations on the general stress response in <i>Escherichia coli</i> and <i>Saccharomyces cerevisiae</i>. Using scale-down bioreactor experiments, we evaluate the performance of the Segregostat, a real-time control system that leverages automated flow cytometry to induce dynamic nutrient shifts. The Segregostat achieves robust stress response control, even under severe perturbations such as extended residence times in a two-compartment reactor. We hypothesise that this robustness arises from the system's ability to amplify host-compatible fluctuations beyond bioreactor-induced perturbations. Our findings highlight the importance of integrating environmental factors into control strategies for reliable gene circuit behaviour in industrial bioprocessing environments.</p>","PeriodicalId":209,"journal":{"name":"Microbial Biotechnology","volume":"19 4","pages":""},"PeriodicalIF":5.2000,"publicationDate":"2026-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://enviromicro-journals.onlinelibrary.wiley.com/doi/epdf/10.1111/1751-7915.70329","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Microbial Biotechnology","FirstCategoryId":"5","ListUrlMain":"https://enviromicro-journals.onlinelibrary.wiley.com/doi/10.1111/1751-7915.70329","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Controlling cell population dynamics and phenotypic diversification is a key objective in systems and synthetic biology, particularly for ensuring uniform responses from engineered gene circuits. While cell–machine interfaces have been employed to modulate host–gene circuit interactions, environmental perturbations typical of industrial bioreactor conditions remain underexplored. In this study, we investigate the impact of such perturbations on the general stress response in Escherichia coli and Saccharomyces cerevisiae. Using scale-down bioreactor experiments, we evaluate the performance of the Segregostat, a real-time control system that leverages automated flow cytometry to induce dynamic nutrient shifts. The Segregostat achieves robust stress response control, even under severe perturbations such as extended residence times in a two-compartment reactor. We hypothesise that this robustness arises from the system's ability to amplify host-compatible fluctuations beyond bioreactor-induced perturbations. Our findings highlight the importance of integrating environmental factors into control strategies for reliable gene circuit behaviour in industrial bioprocessing environments.
期刊介绍:
Microbial Biotechnology publishes papers of original research reporting significant advances in any aspect of microbial applications, including, but not limited to biotechnologies related to: Green chemistry; Primary metabolites; Food, beverages and supplements; Secondary metabolites and natural products; Pharmaceuticals; Diagnostics; Agriculture; Bioenergy; Biomining, including oil recovery and processing; Bioremediation; Biopolymers, biomaterials; Bionanotechnology; Biosurfactants and bioemulsifiers; Compatible solutes and bioprotectants; Biosensors, monitoring systems, quantitative microbial risk assessment; Technology development; Protein engineering; Functional genomics; Metabolic engineering; Metabolic design; Systems analysis, modelling; Process engineering; Biologically-based analytical methods; Microbially-based strategies in public health; Microbially-based strategies to influence global processes