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