Bonneuil N
Institut National des Etudes Démographiques, Paris, France.
Ann Hum Genet. 1998 Jan;62(Pt 1):61-73. doi: 10.1046/j.1469-1809.1998.6210061.x.
Scenarios, such as populations experiencing a bottleneck or an exponential growth, have been suggested as candidates for explaining the observed differences among mitochondrial DNA sequences in a sample of a given population closed to migrations. Here, population size is considered as capable of varying, and the set of the at least 95% most probable population paths capable of producing the observed mean number of pairwise nucleotide differences is delineated. To do this, the mean and the variance of coalescence times of two genes taken in an n-genes sample with varying population size are expressed. The observed mean coalescence time already echoed a set of population paths due to the variance associated to the coalescent process, but only specific scenarios have been studied, such as the bottleneck or the exponential function. However, mitochondrial DNA data does not reflect a single scenario, after the effect of the variance. These scenarios implied by pairwise nucleotide differences are described through a set-valued function, the 'regulation map', a convenient way to represent temporal population paths.
诸如经历瓶颈效应或指数增长的种群等情况，已被认为是解释在一个封闭迁移的给定种群样本中线粒体DNA序列间观察到的差异的候选因素。在这里，种群大小被视为能够变化，并且描绘了至少95%最有可能产生观察到的成对核苷酸差异平均数的种群路径集合。为此，表达了在具有变化种群大小的n个基因样本中选取的两个基因的合并时间的均值和方差。由于与合并过程相关的方差，观察到的平均合并时间已经反映了一组种群路径，但仅研究了特定情况，如瓶颈效应或指数函数。然而，在线粒体DNA数据中，在方差的影响之后，并不反映单一情况。由成对核苷酸差异所暗示的这些情况通过一个集值函数“调控图”来描述，这是一种表示时间种群路径的便捷方式。
