空间扩张后近期迁移率的贝叶斯估计。
Bayesian estimation of recent migration rates after a spatial expansion.
作者信息
Hamilton Grant, Currat Mathias, Ray Nicolas, Heckel Gerald, Beaumont Mark, Excoffier Laurent
机构信息
Computational and Molecular Population Genetics Lab, Zoological Institute, University of Bern, Switzerland.
出版信息
Genetics. 2005 May;170(1):409-17. doi: 10.1534/genetics.104.034199. Epub 2005 Feb 16.
Abstract
Approximate Bayesian computation (ABC) is a highly flexible technique that allows the estimation of parameters under demographic models that are too complex to be handled by full-likelihood methods. We assess the utility of this method to estimate the parameters of range expansion in a two-dimensional stepping-stone model, using samples from either a single deme or multiple demes. A minor modification to the ABC procedure is introduced, which leads to an improvement in the accuracy of estimation. The method is then used to estimate the expansion time and migration rates for five natural common vole populations in Switzerland typed for a sex-linked marker and a nuclear marker. Estimates based on both markers suggest that expansion occurred <10,000 years ago, after the most recent glaciation, and that migration rates are strongly male biased.
摘要
近似贝叶斯计算（ABC）是一种高度灵活的技术，它允许在人口模型下估计参数，这些模型过于复杂，无法用全似然方法处理。我们评估了该方法在二维踏脚石模型中估计范围扩展参数的效用，使用来自单个deme或多个deme的样本。对ABC程序进行了微小修改，从而提高了估计的准确性。然后，该方法被用于估计瑞士五个自然普通田鼠种群的扩张时间和迁移率，这些种群针对一个性连锁标记和一个核标记进行了分型。基于这两个标记的估计表明，扩张发生在最近一次冰川作用之后的不到10000年前，并且迁移率存在强烈的雄性偏差。
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