Automated optogenetic feedback control for precise and robust regulation of gene expression and cell growth

Andreas Milias-Argeitis, Marc Rullan, Stephanie K. Aoki, Peter Buchmann and Mustafa Khammash ()
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Andreas Milias-Argeitis: ETH Zurich
Marc Rullan: ETH Zurich
Stephanie K. Aoki: ETH Zurich
Peter Buchmann: ETH Zurich
Mustafa Khammash: ETH Zurich

Nature Communications, 2016, vol. 7, issue 1, 1-11

Abstract: Abstract Dynamic control of gene expression can have far-reaching implications for biotechnological applications and biological discovery. Thanks to the advantages of light, optogenetics has emerged as an ideal technology for this task. Current state-of-the-art methods for optical expression control fail to combine precision with repeatability and cannot withstand changing operating culture conditions. Here, we present a novel fully automatic experimental platform for the robust and precise long-term optogenetic regulation of protein production in liquid Escherichia coli cultures. Using a computer-controlled light-responsive two-component system, we accurately track prescribed dynamic green fluorescent protein expression profiles through the application of feedback control, and show that the system adapts to global perturbations such as nutrient and temperature changes. We demonstrate the efficacy and potential utility of our approach by placing a key metabolic enzyme under optogenetic control, thus enabling dynamic regulation of the culture growth rate with potential applications in bacterial physiology studies and biotechnology.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12546

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DOI: 10.1038/ncomms12546

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