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genomic and behavioural evolution in the artificial ecosystem simulation EcoSim

机译:人工生态系统仿真EcoSim中的基因组和行为进化

摘要

Artificial life evolutionary systems facilitate addressing lots of fundamental questions in evolutionary genetics. Behavioral adaptation requires long term evolution with continuous emergence of new traits, governed by natural selection. We model organismu27s genomes coding for their behavioral model and represented by fuzzy cognitive maps (FCM), in an individual-based evolutionary ecosystem simulation (EcoSim). The emergent of new traits (genes) in EcoSim is examined by studying their effect on individualu27s fitness and well being. We examine how the new traits are used to predict the value of fitness using machine learning techniques. A comparison between the genomic evolution of EcoSim and a neutral model (a randomized version of EcoSim) is examined focusing on their respective genomic diversity. In order to further emphasize the importance of genetic diversity to adaptation and thus the well being of individuals, we were encouraged to study the effect that genetic diversity has on fitness. EcoSim gives us the chance to study the relation between species genetic diversity and average species fitness without the limits in environmental conditions and time scales found in biological studies, but in highly variable environments and across evolutionary time. The ecological effects of predator removal and its consequence on prey behavior have been investigated widely. We investigated the effects of predation risk on prey energy allocation and fitness. Here the role of predator removal on the contemporary evolution of prey traits such as movement, reproduction and foraging was evaluated. Our study clearly shows that predation risk alone induces behavioural changes in prey which drastically affect population and community dynamics, A classification algorithm was used to demonstrate the difference between genomes belonging to prey co-evolving with predators and prey evolving in the absence of predation pressure. We argue that predator introductions to naive prey might be destabilizing if prey have evolved and adapted to the absence of predators. Our results suggest that both predator introduction and predator removal from an ecosystem have widespread effects on the survival and evolution of prey by altering their genomes and behaviour, even after relatively short time intervals.
机译:人工生命进化系统有助于解决进化遗传学中的许多基本问题。行为适应需要长期进化,并不断出现新的性状,这取决于自然选择。在基于个体的进化生态系统模拟(EcoSim)中,我们对生物体的基因组进行建模,以编码其行为模型并以模糊认知图(FCM)表示。通过研究新特性(基因)对个体健康和福祉的影响,研究了新特性(基因)的出现。我们研究了如何使用新特征通过机器学习技术来预测健身的价值。 EcoSim和中性模型(EcoSim的随机版本)的基因组进化之间的比较以其各自的基因组多样性为重点。为了进一步强调遗传多样性对适应以及个人福祉的重要性,我们被鼓励研究遗传多样性对适应性的影响。 EcoSim使我们有机会研究物种遗传多样性与平均物种适应度之间的关系,而不受生物学研究中环境条件和时间尺度的限制,而是在高度可变的环境中以及跨进化时间。捕食者清除的生态影响及其对猎物行为的影响已得到广泛研究。我们调查了捕食风险对猎物能量分配和适应性的影响。在此,评估了捕食者的清除对当代诸如移动,繁殖和觅食的猎物特征演变的作用。我们的研究清楚地表明,捕食风险仅会导致猎物的行为变化,从而极大地影响种群和社区动态。使用分类算法来证明属于与捕食者共同进化的猎物的基因组之间的差异以及在没有捕食压力的情况下进化的猎物之间的差异。我们认为,如果猎物已经进化并适应了没有捕食者的情况,那么将捕食者引入天真的猎物可能会破坏稳定。我们的结果表明,即使在相对较短的时间间隔后,通过改变捕食者的基因组和行为,它们从生态系统中引入和从捕食者中移除也会对猎物的生存和进化产生广泛影响。

著录项

  • 作者

    Khater Marwa Fouad;

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  • 年度 2014
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  • 正文语种 en
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