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The Role of RNA Editing in Dynamic Environments

机译：RNA编辑在动态环境中的作用

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摘要

This paper presents a computational methodology based on Genetic Algorithms with Genotype Editing (GAE) for investigating the role of RNA editing in dynamic environments. This model is based on genotype editing characteristics that are gleaned from RNA editing processes as observed in several organisms. We have previously expanded the traditional Genetic Algorithm (GA) with artificial editing mechanisms (Rocha, 1995, 1997), and studied the benefits of including straightforward Genotype Editing in GA for several machine learning problems (Huang and Rocha, 2003, 2004). Here we show that genotype editing also provides a means for artificial agents with genotype/phenotype mappings descriptions to gain greater phenotypic plasticity. We simulate agents endowed with the ability to alter the edition of their genotype according to environmental context. This ability grants agents an adaptive advantage as genotype expression can become contextually regulated. The study of this genotype edition model in changing environments has shed some light into the evolutionary implications of RNA editing. We expect that our methodology will both facilitate determining the evolutionary role of RNA editing in biology, and advance the current state of research in Evolutionary Computation and Artificial Life.
机译：本文提出了一种基于遗传算法和基因型编辑（GAE）的计算方法，用于研究RNA编辑在动态环境中的作用。该模型基于从几种生物中观察到的RNA编辑过程中收集到的基因型编辑特征。我们以前已经通过人工编辑机制扩展了传统的遗传算法（GA）（Rocha，1995，1997），并研究了在遗传算法中包含直接基因型编辑的好处，从而解决了一些机器学习问题（Huang and Rocha，2003，2004）。在这里，我们显示基因型编辑还为具有基因型/表型映射描述的人工制剂提供了一种手段，以获取更大的表型可塑性。我们模拟了具有根据环境背景改变其基因型版本的能力的媒介。由于基因型表达可以根据上下文进行调节，因此该功能可为代理提供自适应优势。在不断变化的环境中对该基因型编辑模型的研究为RNA编辑的进化意义提供了一些启示。我们希望我们的方法学既可以帮助确定RNA编辑在生物学中的进化作用，又可以促进进化计算和人工生命研究的当前状态。

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