Department of Genetics, Rutgers University, USA.
Mol Biol Evol. 2010 Apr;27(4):905-20. doi: 10.1093/molbev/msp296. Epub 2009 Dec 2.
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.
描述并评估了一种研究多个密切相关群体分歧的方法。Hey 和 Nielsen(2007 年,《在费尔森斯坦方程中整合以改进群体遗传学中的马尔可夫链蒙特卡罗方法》,美国国家科学院院刊。104:2785-2790)用于拟合隔离与迁移模型的方法被扩展到具有已知系统发育的多个群体的情况。对模拟数据集的分析揭示了多群体分析可获得的历史类型。必然地,与系统发育中较旧时期相关的过程更难以估计;并且具有高水平基因流动的历史在超过两个群体时特别困难。然而,对于具有适度基因流动的历史或非常大的数据集,有可能研究涉及多个密切相关的群体或物种的大型复杂分歧问题。