Isolation with Migration Models for More Than Two Populations
Isolation with Migration Models for More Than Two Populations
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DOI：
10.1093/molbev/msp296
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发表时间：
2010-04-01
影响因子：
10.7
通讯作者：
Hey, Jody
中科院分区：
文献类型：
--
作者：
Hey, Jody
描述和评估了一种研究多个密切相关群体的分歧的方法。Hey和Nielsen（2007）的方法，在群体遗传学中改进马尔可夫链蒙特卡罗方法的Felsenstein方程内的集成。美国国家科学院院士104：2785-2790）用于拟合具有迁移的隔离模型的方法被扩展到具有已知同源性的多个群体的情况。对模拟数据集的分析揭示了多总体分析可以访问的历史类型。必然地，与一个种群发生中较早时期相关的过程更难估计;而具有高水平基因流动的历史对于两个以上的种群来说尤其困难。然而，对于具有适度水平的基因流的历史，或者对于非常大的数据集，研究涉及多个密切相关的种群或物种的大型复杂分歧问题是可能的。
A method for studying the divergence of multiple closely related populations is described and assessed. The approach of Hey and Nielsen (2007, Integration within the Felsenstein equation for improved Markov chain Monte Carlo methods in population genetics. Proc Natl Acad Sci USA. 104:2785-2790) for fitting an isolation-with-migration model was extended to the case of multiple populations with a known phylogeny. Analysis of simulated data sets reveals the kinds of history that are accessible with a multipopulation analysis. Necessarily, processes associated with older time periods in a phylogeny are more difficult to estimate; and histories with high levels of gene flow are particularly difficult with more than two populations. However, for histories with modest levels of gene flow, or for very large data sets, it is possible to study large complex divergence problems that involve multiple closely related populations or species.