Evolutionary Algorithms in a Bacterial Consortium of Synthetic Bacteria

At present, synthetic biology applications are based on the programming of synthetic bacteria with custom-designed genetic circuits through the application of a top-down strategy. These genetic circuits are the programs that implement a certain algorithm, the bacterium being the agent or shell respo...

Descripción completa

Detalles Bibliográficos
Autores: Lledó Villaescusa, Sara, Lahoz Beltra, Rafael
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:inglés
OAI Identifier:oai:docta.ucm.es:20.500.14352/120457
Acceso en línea:https://hdl.handle.net/20.500.14352/120457
Access Level:acceso abierto
Palabra clave:51:57
579.6
57:004
519.87:004
Evolution of a bacterial consortium
Programming synthetic bacteria
Bacterial agents
Gro cell programming language
Biomatemáticas
Microbiología (Biología)
Bioinformática
2404 Biomatemáticas
2414 Microbiología
1203.26 Simulación
id ES_723bf30ceb64a0a4e01070bbcf609325
oai_identifier_str oai:docta.ucm.es:20.500.14352/120457
network_acronym_str ES
network_name_str España
repository_id_str
spelling Evolutionary Algorithms in a Bacterial Consortium of Synthetic BacteriaLledó Villaescusa, SaraLahoz Beltra, Rafael51:57579.657:004519.87:004Evolution of a bacterial consortiumProgramming synthetic bacteriaBacterial agentsGro cell programming languageBiomatemáticasMicrobiología (Biología)Bioinformática2404 Biomatemáticas2414 Microbiología1203.26 SimulaciónAt present, synthetic biology applications are based on the programming of synthetic bacteria with custom-designed genetic circuits through the application of a top-down strategy. These genetic circuits are the programs that implement a certain algorithm, the bacterium being the agent or shell responsible for the execution of the program in a given environment. In this work, we study the possibility that instead of programming synthesized bacteria through a custom-designed genetic circuit, it is the circuit itself which emerges as a result of the evolution simulated through an evolutionary algorithm. This study is conducted by performing in silico experiments in a community composed of synthetic bacteria in which one species or strain behaves as pathogenic bacteria against the rest of the non-pathogenic bacteria that are also part of the bacterial consortium. The goal is the eradication of the pathogenic strain through the evolutionary programming of the agents or synthetic bacteria. The results obtained suggest the plausibility of the evolutionary design of the appropriate genetic circuit resulting from the application of a bottom-up strategy and therefore the experimental feasibility of the evolutionary programming of synthetic bacteria.MDPIUniversidad Complutense de Madrid20232023-12-1720232023-12-17journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/120457reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1204572026-06-02T12:44:21Z
dc.title.none.fl_str_mv Evolutionary Algorithms in a Bacterial Consortium of Synthetic Bacteria
title Evolutionary Algorithms in a Bacterial Consortium of Synthetic Bacteria
spellingShingle Evolutionary Algorithms in a Bacterial Consortium of Synthetic Bacteria
Lledó Villaescusa, Sara
51:57
579.6
57:004
519.87:004
Evolution of a bacterial consortium
Programming synthetic bacteria
Bacterial agents
Gro cell programming language
Biomatemáticas
Microbiología (Biología)
Bioinformática
2404 Biomatemáticas
2414 Microbiología
1203.26 Simulación
title_short Evolutionary Algorithms in a Bacterial Consortium of Synthetic Bacteria
title_full Evolutionary Algorithms in a Bacterial Consortium of Synthetic Bacteria
title_fullStr Evolutionary Algorithms in a Bacterial Consortium of Synthetic Bacteria
title_full_unstemmed Evolutionary Algorithms in a Bacterial Consortium of Synthetic Bacteria
title_sort Evolutionary Algorithms in a Bacterial Consortium of Synthetic Bacteria
dc.creator.none.fl_str_mv Lledó Villaescusa, Sara
Lahoz Beltra, Rafael
author Lledó Villaescusa, Sara
author_facet Lledó Villaescusa, Sara
Lahoz Beltra, Rafael
author_role author
author2 Lahoz Beltra, Rafael
author2_role author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 51:57
579.6
57:004
519.87:004
Evolution of a bacterial consortium
Programming synthetic bacteria
Bacterial agents
Gro cell programming language
Biomatemáticas
Microbiología (Biología)
Bioinformática
2404 Biomatemáticas
2414 Microbiología
1203.26 Simulación
topic 51:57
579.6
57:004
519.87:004
Evolution of a bacterial consortium
Programming synthetic bacteria
Bacterial agents
Gro cell programming language
Biomatemáticas
Microbiología (Biología)
Bioinformática
2404 Biomatemáticas
2414 Microbiología
1203.26 Simulación
description At present, synthetic biology applications are based on the programming of synthetic bacteria with custom-designed genetic circuits through the application of a top-down strategy. These genetic circuits are the programs that implement a certain algorithm, the bacterium being the agent or shell responsible for the execution of the program in a given environment. In this work, we study the possibility that instead of programming synthesized bacteria through a custom-designed genetic circuit, it is the circuit itself which emerges as a result of the evolution simulated through an evolutionary algorithm. This study is conducted by performing in silico experiments in a community composed of synthetic bacteria in which one species or strain behaves as pathogenic bacteria against the rest of the non-pathogenic bacteria that are also part of the bacterial consortium. The goal is the eradication of the pathogenic strain through the evolutionary programming of the agents or synthetic bacteria. The results obtained suggest the plausibility of the evolutionary design of the appropriate genetic circuit resulting from the application of a bottom-up strategy and therefore the experimental feasibility of the evolutionary programming of synthetic bacteria.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-12-17
2023
2023-12-17
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/120457
url https://hdl.handle.net/20.500.14352/120457
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869410709316567040
score 15,81155

Similares en LA Referencia