Multilocus genetic processes in subdivided populations can be complex and difficult to interpret using theoretical population genetics models. Genetic simulators offer a valid alternative to study multilocus genetic processes in arbitrarily complex scenarios. However, the use of forward‐in‐time simulators in realistic scenarios involving high numbers of individuals distributed in multiple local populations is limited by computation time and memory requirements. These limitations increase with the number of simulated individuals. We developed a genetic simulator, MetaPopGen 2.0, to model multilocus population genetic processes in subdivided populations of arbitrarily large size. It allows for spatial and temporal variation in demographic parameters, age structure, adult and propagule dispersal, variable mutation rates and selection on survival and fecundity. We developed MetaPopGen 2.0 in the R environment to facilitate its use by non‐modeler ecologists and evolutionary biologists. We illustrate the capabilities of MetaPopGen 2.0 for studying adaptation to water salinity in the striped red mullet Mullus surmuletus.

中文翻译：

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MetaPopGen 2.0：用于模拟大型种群的多位点遗传模拟器

细分种群中的多位点遗传过程可能很复杂，并且难以使用理论种群遗传学模型进行解释。遗传模拟器为研究任意复杂场景中的多位点遗传过程提供了一种有效的替代方法。然而，在涉及分布在多个本地群体中的大量个体的现实场景中，时间前移模拟器的使用受到计算时间和内存要求的限制。这些限制随着模拟个体的数量增加而增加。我们开发了一个基因模拟器MetaPopGen2.0，在任意大的细分种群中模拟多位点种群遗传过程。它允许人口参数、年龄结构、成虫和繁殖体扩散、可变突变率以及生存和繁殖力选择的空间和时间变化。我们在 R 环境中开发了MetaPopGen 2.0，以方便非建模生态学家和进化生物学家使用它。说明我们的能力MetaPopGen在条纹红鲻鱼学习适应水的盐度2.0 Mullus surmuletus。