Salzano, Davide (2022) Development and validation of synthetically engineered microbial consortia. [Tesi di dottorato]

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Tipologia del documento: Tesi di dottorato
Lingua: English
Titolo: Development and validation of synthetically engineered microbial consortia
Autori:
Autore
Email
Salzano, Davide
davide.salzano@unina.it
Data: 12 Dicembre 2022
Numero di pagine: 203
Istituzione: Università degli Studi di Napoli Federico II
Dipartimento: Ingegneria Elettrica e delle Tecnologie dell'Informazione
Dottorato: Ingegneria informatica ed automatica
Ciclo di dottorato: 35
Coordinatore del Corso di dottorato:
nome
email
Riccio, Daniele
daniele.riccio@unina.it
Tutor:
nome
email
di Bernardo, Mario
[non definito]
Marucci, Lucia
[non definito]
Savery, Nigel
[non definito]
Data: 12 Dicembre 2022
Numero di pagine: 203
Parole chiave: synthetic biology, multicellular control, cybergenetics, complex systems, ratiometric control
Settori scientifico-disciplinari del MIUR: Area 09 - Ingegneria industriale e dell'informazione > ING-INF/04 - Automatica
Depositato il: 19 Dic 2022 09:27
Ultima modifica: 09 Apr 2025 14:11
URI: http://www.fedoa.unina.it/id/eprint/14672

Abstract

Microbial consortia constitute a promising solution to expand the complexity of the synthetic gene circuits that can be engineered in living cells. However, being able to construct robust, modular communities is a challenging task. In addition, due to the imbalances in the growth rates between different members of the consortium, some populations in the consortium can outgrow the others, leading to undesired phenomena, such as extinction, undermining the correct operation of the system. In this work we address both the problem of realizing reliable microbial consortia and the challenge of regulating the relative numbers between subpopulations in the community to their ensure stable, and long term coexistence. Specifically, we realize and validate biomolecular feedback controllers distributed across populations within a microbial consortium to achieve modular and robust regulation of a cell’s phenotype. These results are complemented by the development of control architectures to shape the composition of a microbial consortium. The realisation of consortia with robust and consistent phenotype where it is possible to decide an maintain a specified composition would enable engineering of complex functionalities in living cells. Potential applications include personalized cell therapies and on demand production of chemicals, drugs and bio-fuels for pharmaceutical or commercial use.

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