Trade-offs in Robustness to Perturbations of Bacterial Population Controllers *

Synthetic biology applications have the potential to have lasting impact; however, there is considerable difficulty in scaling up engineered genetic circuits. One of the current hurdles is resource sharing, where different circuit components become implicitly coupled through the host cell's poo...

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Bibliographic Details
Main Authors: McBride, Cameron David (Author), Del Vecchio, Domitilla (Author)
Other Authors: Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2022-01-06T14:23:00Z.
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Online Access:Get fulltext
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100 1 0 |a McBride, Cameron David  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Mechanical Engineering  |e contributor 
700 1 0 |a Del Vecchio, Domitilla  |e author 
245 0 0 |a Trade-offs in Robustness to Perturbations of Bacterial Population Controllers * 
260 |b Institute of Electrical and Electronics Engineers (IEEE),   |c 2022-01-06T14:23:00Z. 
856 |z Get fulltext  |u https://hdl.handle.net/1721.1/138544.2 
520 |a Synthetic biology applications have the potential to have lasting impact; however, there is considerable difficulty in scaling up engineered genetic circuits. One of the current hurdles is resource sharing, where different circuit components become implicitly coupled through the host cell's pool of resources, which may destroy circuit function. One potential solution around this problem is to distribute genetic circuit components across multiple cell strains and control the cell population size using a population controller. In these situations, perturbations in the availability of cellular resources, such as due to resource sharing, will affect the performance of the population controller. In this work, we model a genetic population controller implemented by a genetic circuit while considering perturbations in the availability of cellular resources. We analyze how these intracellular perturbations and extracellular disturbances to cell growth affect cell population size. We find that it is not possible to tune the population controller's gain such that the population density is robust to both extracellular disturbances and perturbations to the pool of available resources. 
520 |a National Science Foundation (Award 1521925) 
546 |a en 
655 7 |a Article 
773 |t 10.23919/ACC45564.2020.9148039 
773 |t Proceedings of the American Control Conference