A coalescent model of background selection with recombination, demography and variation in selection coefficients.
A coalescent model of background selection with recombination, demography and variation in selection coefficients.
复制标题
具有重组、人口统计学和选择系数变化的背景选择的合并模型。
作者：
Zeng K
越来越多的证据表明，背景选择，即自然选择消除重复出现的有害突变对连锁位点变异性的影响，可能是形成全基因组遗传多样性模式的主要因素。为了准确地量化背景选择的重要性，至关重要的是要有计算效率高的模型，包括基本的生物特征。为此，一个结构化的聚结过程被用来构建一个模型的背景选择，考虑到重组的影响，最近的变化，人口规模和变化的选择系数对有害的突变跨站点。此外，该模型允许在相关区域中灵活地组织选择的和中性的位点，并且具有在选择的和中性的位点产生序列变异性的能力，允许研究这两种类型的位点之间的相关性。模型的准确性进行了验证，通过检查对正演模拟的结果。这些模拟还揭示了几种模式的多样性，在定性协议与最近的DNA序列多态性研究中报告的意见。这些结果表明，该模型应该是有用的数据分析。
There is increasing evidence that background selection, the effects of the elimination of recurring deleterious mutations by natural selection on variability at linked sites, may be a major factor shaping genome-wide patterns of genetic diversity. To accurately quantify the importance of background selection, it is vital to have computationally efficient models that include essential biological features. To this end, a structured coalescent procedure is used to construct a model of background selection that takes into account the effects of recombination, recent changes in population size and variation in selection coefficients against deleterious mutations across sites. Furthermore, this model allows a flexible organization of selected and neutral sites in the region concerned, and has the ability to generate sequence variability at both selected and neutral sites, allowing the correlation between these two types of sites to be studied. The accuracy of the model is verified by checking against the results of forward simulations. These simulations also reveal several patterns of diversity that are in qualitative agreement with observations reported in recent studies of DNA sequence polymorphisms. These results suggest that the model should be useful for data analysis.