Mousset Sylvain, Derome Nicolas, Veuille Michel
Department of Biology II, University of Munich, Munich, Germany.
Mol Biol Evol. 2004 Apr;21(4):724-31. doi: 10.1093/molbev/msh066. Epub 2004 Feb 12.
Several factors including demographic changes, selection, and recombination are known to affect the distribution of the number of pairwise differences between DNA sequences. The effects of each of these forces have previously been used to estimate population parameter values using various assumptions about other factors. In this article, we use the predictions of the mismatch distribution under a standard neutral equilibrium model to design a coalescent simulation-based test and detect any deviation from this equilibrium. When reliable independent estimates are available for the intragenic recombination rate, this test can be used as a neutrality test or a population expansion test in actual studies, under reasonable assumptions.
已知包括人口结构变化、选择和重组在内的几个因素会影响DNA序列之间成对差异数量的分布。此前,在对其他因素做出各种假设的情况下,已利用这些作用力中的每一种的效应来估计群体参数值。在本文中,我们利用标准中性平衡模型下错配分布的预测结果来设计一种基于合并模拟的检验方法,并检测与这种平衡的任何偏差。当基因内重组率有可靠的独立估计值时,在合理假设下,该检验方法可在实际研究中用作中性检验或群体扩张检验。