Guarino, Agostino (2021) Analysis and Control of Bacterial Populations in Synthetic Biology. [Tesi di dottorato]

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Item Type: Tesi di dottorato
Resource language: English
Title: Analysis and Control of Bacterial Populations in Synthetic Biology
Creators:
CreatorsEmail
Guarino, Agostinoagostino.guarino@unina.it
Date: 26 June 2021
Number of Pages: 129
Institution: Università degli Studi di Napoli Federico II
Department: Ingegneria Elettrica e delle Tecnologie dell'Informazione
Dottorato: Information technology and electrical engineering
Ciclo di dottorato: 33
Coordinatore del Corso di dottorato:
nomeemail
Riccio, Danieledaniele.riccio@unina.it
Tutor:
nomeemail
di Bernardo, MarioUNSPECIFIED
Fiore, DavideUNSPECIFIED
Date: 26 June 2021
Number of Pages: 129
Keywords: Control Engineering External Control, Dedifferentiation, Synthetic Biology, Bioreactors, Growth Control
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/04 - Automatica
Date Deposited: 04 Jul 2021 23:33
Last Modified: 07 Jun 2023 10:26
URI: http://www.fedoa.unina.it/id/eprint/14018

Collection description

Synthetic Biology is a new field of research that aims at engineering new functionalities in living beings. Analogously to electronic circuits, more advanced functionalities can be realised by putting together smaller functional modules that perform elementary tasks; however, the interaction of these basic pieces is somewhat complex and fragile. Therefore, to increase the robustness and reliability of the whole system, typical tools from Control Theory, such as feedback loops, can be employed. In the first part of this thesis we propose feedback control strategies to balance the gene expression of a bistable genetic circuit, known as genetic toggle switch, in an unstable region far away from its stable equilibria - a problem analogous to the stabilization of the inverted pendulum in mechanics. The effectiveness of the proposed control strategies is validated via realistic agent-based simulations of a bacterial population endowed with the genetic toggle switch. Later in the thesis we move towards the growth control of bacterial cells in bioreactors, introducing a novel open-source and versatile design of a turbidostat to host in vivo control experiments. In the last part, we want to control bioreactors to guarantee the coexistence of multiple species in the same environment. We analyse the dynamics of a simple one-chamber bioreactor, proposing control strategies to achieve the control goal. However, simple bioreactors have several drawback when the concentrations of multiple species are regulated at the same time; for these reason, we propose a novel layout for a bioreactor, with two growth chambers and a mixing one, to be used in multicellular in vivo control experiments.

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