Spatial Inference of Admixture Proportions and Secondary Contact Zones
Spatial Inference of Admixture Proportions and Secondary Contact Zones
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DOI：
10.1093/molbev/msp106
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发表时间：
2009-09-01
影响因子：
10.7
通讯作者：
Francois, Olivier
中科院分区：
文献类型：
--
作者：
Durand, Eric;Jay, Flora;Francois, Olivier
不同基因库的遗传混合是复杂时空过程的结果，可能涉及一个物种历史上的大规模迁移和局部交配。然而，目前的方法估计个别掺合料比例缺乏这样一条信息的合并。在这里，我们扩展贝叶斯聚类算法，包括全球趋势面和空间自相关的先验分布对个别混合系数。我们测试我们的算法，使用空间明确和现实的合并模拟殖民其次是二次接触。通过将我们的多尺度空间分析与贝叶斯模型复杂性和拟合评估相结合，我们表明该算法提供了对平滑倾斜变化的正确描述，同时仍然检测数据中存在的急剧变化区域。我们还应用我们的方法来了解的人口结构的？
Genetic admixture of distinct gene pools is the consequence of complex spatiotemporal processes that could have involved massive migration and local mating during the history of a species. However, current methods for estimating individual admixture proportions lack the incorporation of such a piece of information. Here, we extend Bayesian clustering algorithms by including global trend surfaces and spatial autocorrelation in the prior distribution on individual admixture coefficients. We test our algorithm by using spatially explicit and realistic coalescent simulations of colonization followed by secondary contact. By coupling our multiscale spatial analyses with a Bayesian evaluation of model complexity and fit, we show that the algorithm provides a correct description of smooth clinal variation, while still detecting zones of sharp variation when they are present in the data. We also apply our approach to understand the population structure of the killifish, Fundulus heteroclitus, for which the algorithm uncovers a presumed contact zone in the Atlantic coast of North America.