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Evolution of form and function in a model of differentiated multicellular organisms with gene regulatory networks

机译:具有基因调控网络的分化多细胞生物模型中形式和功能的进化

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摘要

The emergence of novelties, as a generator of diversity, in the form and function of the organisms have long puzzled biologists. The study of the developmental process and the anatomical properties of an organism provides scarce information into the means by which its morphology evolved. Some have argued that the very nature of novelty is believed to be linked to the evolution of gene regulation, rather than to the emergence of new structural genes. In order to gain further insight into the evolution of novelty and diversity, we describe a simple computational model of gene regulation that controls the development of locomotive multicellular organisms through a fixed set of simple structural genes. Organisms, modeled as two-dimensional spring networks, are simulated in a virtual environment to evaluate their steering skills for path-following. Proposed as a behavior-finding problem, this fitness function guides an evolutionary algorithm that produces structures whose function is well-adapted to the environment (i.e., good path-followers). We show that, despite the fixed simple set of structural genes, the evolution of gene regulation yields a rich variety of body plans, including symmetries, body segments, and modularity, resulting in a diversity of original behaviors to follow a simple path. These results suggest that the sole variation in the regulation of gene expression is a sufficient condition for the emergence of novelty and diversity.
机译:作为生物多样性的产生者,以生物的形式和功能出现的新颖性一直困扰着生物学家。对生物的发育过程和解剖学特性的研究为其形态演化提供了稀缺的信息。一些人认为,新颖性的本质与基因调控的进化有关,而不是与新结构基因的出现有关。为了进一步了解新颖性和多样性的演变,我们描述了一种简单的基因调节计算模型,该模型通过一组固定的简单结构基因来控制机车多细胞生物的发展。在虚拟环境中模拟以二维弹簧网络建模的生物,以评估其遵循路径的操纵技能。被提出为行为发现问题,该适应度函数指导了一种进化算法,该算法生成的函数对环境的适应性强(即良好的路径跟随者)。我们显示,尽管固定了简单的结构基因集,但基因调控的进化产生了各种各样的身体计划,包括对称性,身体节段和模块性,导致遵循简单路径的多种原始行为。这些结果表明,基因表达调控的唯一变化是出现新颖性和多样性的充分条件。

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