A coalescent estimator of the population recombination rate.
A coalescent estimator of the population recombination rate.
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作者：
J. Hey;J. Wakeley
群体遗传模型通常使用群体重组参数4Nc，其中N是有效群体大小，c是每代的重组率。在许多方面，4Nc与群体突变率4Nu相当。这两个联合收割机结合了基因组水平和群体水平的过程，它们一起描述了群体中遗传变异的产生率。然而，4Nc更难估计。对于DNA序列的群体样本，只有在多态性存在的情况下才能检测到历史重组，即使这样，大多数重组事件也是不可检测的。本文介绍了一种估计的4Nc，以下指定的伽马（伽马），这是使用合并模型的样本的四个DNA序列重组。使用多个聚结模拟评估伽马的可靠性。一般来说，伽马具有低到中等的偏差，伽马的可靠性与广泛使用的4Nu估计量相当，尽管更少。如果存在重组率的独立估计（每代，每碱基对），则可以使用γ来估计有效群体大小或中性突变率。
Population genetic models often use a population recombination parameter 4Nc, where N is the effective population size and c is the recombination rate per generation. In many ways 4Nc is comparable to 4Nu, the population mutation rate. Both combine genome level and population level processes, and together they describe the rate of production of genetic variation in a population. However, 4Nc is more difficult to estimate. For a population sample of DNA sequences, historical recombination can only be detected if polymorphisms exist, and even then most recombination events are not detectable. This paper describes an estimator of 4Nc, hereafter designated gamma (gamma), that was developed using a coalescent model for a sample of four DNA sequences with recombination. The reliability of gamma was assessed using multiple coalescent simulations. In general gamma has low to moderate bias, and the reliability of gamma is comparable, though less, than that for a widely used estimator of 4Nu. If there exists an independent estimate of the recombination rate (per generation, per base pair), gamma can be used to estimate the effective population size or the neutral mutation rate.