合成细菌联盟中的进化算法

IF 1.8 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Algorithms Pub Date : 2023-12-17 DOI:10.3390/a16120571
Sara Lledó Villaescusa, Rafael Lahoz-Beltra
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引用次数: 0

摘要

目前,合成生物学应用的基础是通过应用自上而下的策略,用定制设计的基因电路对合成细菌进行编程。这些基因电路是实现某种算法的程序,细菌是在给定环境中负责执行程序的代理或外壳。在这项工作中,我们研究了一种可能性,即通过进化算法模拟的进化结果出现的电路本身,而不是通过定制设计的基因电路对合成细菌进行编程。这项研究是在一个由合成细菌组成的群落中进行硅学实验,在这个群落中,一个物种或菌株作为致病菌对抗同为细菌群落一部分的其他非致病菌。其目的是通过制剂或合成细菌的进化程序来消灭致病菌株。研究结果表明,应用自下而上的策略进化设计出适当的基因回路是可行的,因此合成细菌的进化编程在实验上是可行的。
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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 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.
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来源期刊
Algorithms
Algorithms Mathematics-Numerical Analysis
CiteScore
4.10
自引率
4.30%
发文量
394
审稿时长
11 weeks
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