<i>In Vivo</i> Multicellular Feedback Control in Synthetic Microbial Consortia

In this paper, we present a biomolecular control architecture able to guarantee stable and precise regulation of gene expression. Specifically, we engineer a microbial consortium comprising a cellular population, named <i>controllers</i>, that is tasked to regulate the expression of a gene in a second population, termed <i>targets</i>. Traditional biomolecular control strategies, while effective, are predominantly confined to single-cell applications, limiting their complexity and adaptability due to factors such as competition for limited cell resources and incompatible chemical reactions. Our approach overcomes these limitations by employing a distributed multicellular feedback loop between two strains of <i>Escherichia coli</i>, allowing for division of labor across the consortium. <i>In vivo</i> experiments demonstrate that this control system maintains precise and robust gene expression in the target population, even amid variations in consortium composition. Our study fills a critical gap in synthetic biology and paves the way for more complex and reliable applications in the field.

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Publication Details

Journal
ACS Synthetic Biology
Published
2025-06-11
DOI
https://doi.org/10.1021/acssynbio.4c00862
Citations
4
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
3.22

Funders

Controls
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article

In Vivo Multicellular Feedback Control in Synthetic Microbial Consortia

Claire Grierson, Mario di Bernardo, Davide Salzano, Lucia Marucci et al.
4 citations
ACS Synthetic Biology
Gene Regulatory Network Analysis
3.22
article

In Vivo Multicellular Feedback Control in Synthetic Microbial Consortia

Claire Grierson, Mario di Bernardo, Davide Salzano, Lucia Marucci, Barbara Shannon, Nigel J. Savery
article en
4 citations

Abstract

In this paper, we present a biomolecular control architecture able to guarantee stable and precise regulation of gene expression. Specifically, we engineer a microbial consortium comprising a cellular population, named <i>controllers</i>, that is tasked to regulate the expression of a gene in a second population, termed <i>targets</i>. Traditional biomolecular control strategies, while effective, are predominantly confined to single-cell applications, limiting their complexity and adaptability due to factors such as competition for limited cell resources and incompatible chemical reactions. Our approach overcomes these limitations by employing a distributed multicellular feedback loop between two strains of <i>Escherichia coli</i>, allowing for division of labor across the consortium. <i>In vivo</i> experiments demonstrate that this control system maintains precise and robust gene expression in the target population, even amid variations in consortium composition. Our study fills a critical gap in synthetic biology and paves the way for more complex and reliable applications in the field.

ACS Synthetic BiologyVol. 14(7)
University of Bristol (GB), Scuola Superiore Meridionale (IT), University of Naples Federico II (IT)
Ministero dell’Istruzione, dell’Università e della Ricerca, Engineering and Physical Sciences Research Council, Biotechnology and Biological Sciences Research Council, H2020 Future and Emerging Technologies
Openalex Percentile: Top 8%
Gene Regulatory Network Analysis
3.22
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<i>In Vivo</i> Multicellular Feedback Control in Synthetic Microbial Consortia — Claire Grierson, Mario di Bernardo, et al. · ACS Synthetic Biology (2025) | TGRS Research Map | TGRS