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Modelling biological evolution: recent progress current challenges and future direction

机译:模拟生物进化:最新进展当前挑战和未来方向

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摘要

Mathematical modelling is widely recognized as a powerful and convenient theoretical tool for investigating various aspects of biological evolution and explaining the existing genetic complexity of the real world. It is increasingly apparent that understanding the key mechanisms involved in the processes of species biodiversity, natural selection and inheritance, patterns of animal behaviour and coevolution of species in complex ecological systems is simply impossible by means of laboratory experiments and field observations alone. Mathematical models are so important because they provide wide-ranging exploration of the problem without a need for experiments with biological systems—which are usually expensive, often require long time and can be potentially dangerous. However, as the number of theoretical works on modelling biological evolution is constantly accelerating each year as different mathematical frameworks and various aspects of evolutionary problems are considered, it is often hard to avoid getting lost in such an immense flux of publications. The aim of this issue of Interface Focus is to provide a useful guide to important recent findings in some key areas in modelling biological evolution, to refine the existing challenges and to outline possible future directions. In particular, the following topics are addressed here by world-leading experts in the modelling of evolution: (i) the origins of biodiversity observed in ecosystems and communities; (ii) evolution of decision-making by animals and the optimal strategy of populations; (iii) links between evolutionary and ecological processes across different time scales; (iv) quantification of biological information in evolutionary models; and (v) linking theoretical models with empirical data. Most of the works presented here are in fact contributed papers from the international conference ‘Modelling Biological Evolution’ (MBE 2013), which took place in Leicester, UK, in May 2013 and brought together theoreticians and empirical evolutionary biologists with the main aim of creating debates and productive discussions between them. Finally, we should emphasize that the individual papers in this issue are not limited to only one of the topics mentioned above, but often lie at the interface of them.
机译:数学建模被广泛认为是一种功能强大且便捷的理论工具,可用于研究生物进化的各个方面并解释现实世界中现有的遗传复杂性。越来越明显的是,仅通过实验室实验和实地观察,就不可能了解物种生物多样性,自然选择和遗传,动物行为模式和物种共同进化过程中涉及的关键机制。数学模型之所以如此重要,是因为它们无需使用生物系统进行实验即可对问题进行广泛的探索,而生物系统通常很昂贵,通常需要很长时间,并且可能具有潜在的危险。然而,由于考虑到不同的数学框架和进化问题的各个方面,关于模拟生物进化的理论工作的数量每年都在不断增加,因此,很难避免迷失在如此巨大的出版物中。本期《界面焦点》的目的是为生物学建模的某些关键领域中的重要最新发现提供有用的指南,以完善现有挑战并概述未来可能的方向。尤其是,以下是世界领先的专家在演化建模中涉及的主题:(i)在生态系统和社区中观察到的生物多样性的起源; (ii)动物决策的演变和种群的最佳策略; (iii)不同时间尺度上的进化和生态过程之间的联系; (iv)量化进化模型中的生物信息; (v)将理论模型与经验数据联系起来。实际上,这里展示的大部分作品都是2013年5月在英国莱斯特举行的国际会议“建模生物学进化”(MBE 2013)的论文,理论家和经验进化生物学家汇聚一堂,其主要目的是他们之间的辩论和富有成果的讨论。最后,我们应该强调的是,本期的各个论文不仅限于上述主题之一,而且常常处在它们的接口上。

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