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首页> 外文期刊>Journal of Theoretical Biology >Using the Ornstein–Uhlenbeck process to model the evolution of interacting populations
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Using the Ornstein–Uhlenbeck process to model the evolution of interacting populations

机译:使用Ornstein-Uhlenbeck进程来模拟交互群体的演变

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Highlights ? We develop a phylogenetic OU model with interactions between species. ? We propose a model for ecological interactions between species. ? We allow for joint modelling of adaptation and migration. ? We show that migration effects can be mistaken for adaptation. ? Similarity between species can be due to interactions or convergent evolution. Abstract The Ornstein–Uhlenbeck (OU) process plays a major role in the analysis of the evolution of phenotypic traits along phylogenies. The standard OU process includes random perturbations and stabilizing selection and assumes that species evolve independently. However, evolving species may interact through various ecological process and also exchange genes especially in plants. This is particularly true if we want to study phenotypic evolution among diverging populations within species. In this work we present a straightforward statistical approach with analytical solutions that allows for the inclusion of adaptation and migration in a common phylogenetic framework, which can also be useful for studying local adaptation among populations within the same species. We furthermore present a detailed simulation study that clearly indicates the adverse effects of ignoring migration. Similarity between species due to migration could be misinterpreted as very strong convergent evolution without proper correction for these additional dependencies. Finally, we show that our model can be interpreted in terms of ecological interactions between species, providing a general framework for the evolution of traits between “interacting” species or populations. ]]>
机译:强调 ?我们在物种之间的相互作用开发了一种系统发育OU模型。还我们提出了一种物种之间生态相互作用的模型。还我们允许适应和迁移的联合建模。还我们表明迁移效应可能被误认为适应。还物种之间的相似性可以是由于相互作用或收敛演变。摘要ornstein-uhlenbeck(ou)过程在分析沿系统发育的表型特征的演变中起着重要作用。标准OU过程包括随机扰动和稳定选择,并假设物种独立发展。然而,不断发展的物种可以通过各种生态过程进行互动,并且还尤其是在植物中交换基因。如果我们想在物种内的不同群体中研究表型演变,这尤其如此。在这项工作中,我们提出了一种具有分析溶液的直接统计方法,其允许在常见的系统发育框架中包含适应和迁移,这也可用于研究同一物种内群体的局部适应。我们还提供了详细的仿真研究,清楚地表明了忽略迁移的不利影响。由于迁移导致的物种之间的相似性可能被误解为非常强大的会聚演进,而不会对这些附加依赖性进行适当的校正。最后,我们表明我们的模型可以在物种之间的生态相互作用方面解释,为“交互”种类或人群之间的特征的演变提供一般框架。 ]]>

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