RT Journal Article
T1 Evolutionary Algorithms in a Bacterial Consortium of Synthetic Bacteria
A1 Lledó Villaescusa, Sara
A1 Lahoz Beltra, Rafael
AB 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.
PB MDPI
SN 1999-4893
YR 2023
FD 2023-12-17
LK https://hdl.handle.net/20.500.14352/120457
UL https://hdl.handle.net/20.500.14352/120457
LA eng
NO Villaescusa, S. L., & Lahoz-Beltra, R. (2023). Evolutionary Algorithms in a Bacterial Consortium of Synthetic Bacteria. Algorithms, 16(12). https://doi.org/10.3390/A16120571
NO S.L.V. was granted a scholarship under the program ‘Becas para Estudiantes de Enseñanzas Postobligatorias 2022/2023, Ministerio de Educación y Formación Profesional (España)’, allowing her to carry out the present work.
NO Ministerio de Educación y Formación Profesional (España)
DS Docta Complutense
RD 7 jun 2025