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Autonomous and Assisted Control for Synthetic Microbiology
The control of microbes and microbial consortia to achieve specific functions requires synthetic circuits that can reliably cope with internal and external perturbations. Circuits that naturally evolved to regulate biological functions are frequently robust to alterations in their parameters. As the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731081/ https://www.ncbi.nlm.nih.gov/pubmed/33287299 http://dx.doi.org/10.3390/ijms21239223 |
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author | Banderas, Alvaro Le Bec, Matthias Cordier, Céline Hersen, Pascal |
author_facet | Banderas, Alvaro Le Bec, Matthias Cordier, Céline Hersen, Pascal |
author_sort | Banderas, Alvaro |
collection | PubMed |
description | The control of microbes and microbial consortia to achieve specific functions requires synthetic circuits that can reliably cope with internal and external perturbations. Circuits that naturally evolved to regulate biological functions are frequently robust to alterations in their parameters. As the complexity of synthetic circuits increases, synthetic biologists need to implement such robust control “by design”. This is especially true for intercellular signaling circuits for synthetic consortia, where robustness is highly desirable, but its mechanisms remain unclear. Cybergenetics, the interface between synthetic biology and control theory, offers two approaches to this challenge: external (computer-aided) and internal (autonomous) control. Here, we review natural and synthetic microbial systems with robustness, and outline experimental approaches to implement such robust control in microbial consortia through population-level cybergenetics. We propose that harnessing natural intercellular circuit topologies with robust evolved functions can help to achieve similar robust control in synthetic intercellular circuits. A “hybrid biology” approach, where robust synthetic microbes interact with natural consortia and—additionally—with external computers, could become a useful tool for health and environmental applications. |
format | Online Article Text |
id | pubmed-7731081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77310812020-12-12 Autonomous and Assisted Control for Synthetic Microbiology Banderas, Alvaro Le Bec, Matthias Cordier, Céline Hersen, Pascal Int J Mol Sci Review The control of microbes and microbial consortia to achieve specific functions requires synthetic circuits that can reliably cope with internal and external perturbations. Circuits that naturally evolved to regulate biological functions are frequently robust to alterations in their parameters. As the complexity of synthetic circuits increases, synthetic biologists need to implement such robust control “by design”. This is especially true for intercellular signaling circuits for synthetic consortia, where robustness is highly desirable, but its mechanisms remain unclear. Cybergenetics, the interface between synthetic biology and control theory, offers two approaches to this challenge: external (computer-aided) and internal (autonomous) control. Here, we review natural and synthetic microbial systems with robustness, and outline experimental approaches to implement such robust control in microbial consortia through population-level cybergenetics. We propose that harnessing natural intercellular circuit topologies with robust evolved functions can help to achieve similar robust control in synthetic intercellular circuits. A “hybrid biology” approach, where robust synthetic microbes interact with natural consortia and—additionally—with external computers, could become a useful tool for health and environmental applications. MDPI 2020-12-03 /pmc/articles/PMC7731081/ /pubmed/33287299 http://dx.doi.org/10.3390/ijms21239223 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Banderas, Alvaro Le Bec, Matthias Cordier, Céline Hersen, Pascal Autonomous and Assisted Control for Synthetic Microbiology |
title | Autonomous and Assisted Control for Synthetic Microbiology |
title_full | Autonomous and Assisted Control for Synthetic Microbiology |
title_fullStr | Autonomous and Assisted Control for Synthetic Microbiology |
title_full_unstemmed | Autonomous and Assisted Control for Synthetic Microbiology |
title_short | Autonomous and Assisted Control for Synthetic Microbiology |
title_sort | autonomous and assisted control for synthetic microbiology |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7731081/ https://www.ncbi.nlm.nih.gov/pubmed/33287299 http://dx.doi.org/10.3390/ijms21239223 |
work_keys_str_mv | AT banderasalvaro autonomousandassistedcontrolforsyntheticmicrobiology AT lebecmatthias autonomousandassistedcontrolforsyntheticmicrobiology AT cordierceline autonomousandassistedcontrolforsyntheticmicrobiology AT hersenpascal autonomousandassistedcontrolforsyntheticmicrobiology |