Journal article Open Access

Autonomous and Assisted Control for Synthetic Microbiology

Banderas, Alvaro; Le Bec, Matthias; Cordier, Céline; Hersen, Pascal


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    <subfield code="p">International Journal of Molecular Science</subfield>
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    <subfield code="u">Institut Curie, Université PSL, CNRS UMR168, Sorbonne Université, Laboratoire Physico Chimie Curie, 75005 Paris, France - Laboratoire MSC, UMR7057, Université de Paris—CNRS, 75013 Paris, France</subfield>
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    <subfield code="a">Autonomous and Assisted Control for Synthetic Microbiology</subfield>
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    <subfield code="c">766840</subfield>
    <subfield code="a">Control Engineering of Biological Systems for Reliable Synthetic Biology Applications</subfield>
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    <subfield code="a">&lt;p&gt;&lt;strong&gt;Abstract&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;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 &amp;ldquo;by design&amp;rdquo;. 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 &amp;ldquo;hybrid biology&amp;rdquo; approach, where robust synthetic microbes interact with natural consortia and&amp;mdash;additionally&amp;mdash;with external computers, could become a useful tool for health and environmental applications.&lt;/p&gt;</subfield>
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