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Estimation of parameters of inbreeding and genetic drift in populations with overlapping generations

机译:世代重叠种群的近亲繁殖和遗传漂移参数估计

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摘要

Many long-lived plant and animal species have nondiscrete overlapping generations. Although numerous models have been developed to predict the effective sizes (N_e) of populations with overlapping generations, they are extremely difficult to apply to natural populations because of the large array of unknown and elusive life-table parameters involved. Unfortunately, little work has been done to estimate the N_e of populations with overlapping generations from marker data, in sharp contrast to the situation of populations with discrete generations for which quite a few estimators are available. In this study, we propose an estimator (EPA, estimator by parentage assignments) of the current N_e of populations with overlapping generations, using the sex, age, and multilocus genotype information of a single sample of individuals taken at random from the population. Simulations show that EPA provides unbiased and accurate estimates of N_e under realistic sampling and genotyping effort. Additionally, it yields estimates of other interesting parameters such as generation interval, the variances and covariances of lifetime family size, effective number of breeders of each age class, and life-table variables. Data from wild populations of baboons and hihi (stitchbird) were analyzed by EPA to demonstrate the use of the estimator in practical sampling and genotyping situations.
机译:许多长寿命的动植物物种具有不离散的重叠世代。尽管已经开发了许多模型来预测具有重叠世代的种群的有效大小(N_e),但是由于涉及大量未知且难以捉摸的生命表参数,因此很难将其应用于自然种群。不幸的是,很少有工作可以根据标记数据估算具有重叠世代的种群的N_e,这与具有许多估算器的离散世代的种群的情况形成鲜明对比。在这项研究中,我们使用从人口中随机抽取的单个样本个体的性别,年龄和多基因座基因型信息,提出了当前N_e个具有重叠世代的人口的估计量(EPA,通过亲子关系分配来估计)。模拟表明,EPA在实际采样和基因分型工作下提供了N_e的无偏准确估计。此外,它还可以得出其他有趣参数的估计值,例如世代间隔,一生家庭规模的方差和协方差,每个年龄段育种者的有效数量以及生命表变量。 EPA分析了来自狒狒和hihi(针鸟)野生种群的数据,以证明该估算器在实际采样和基因分型情况下的使用。

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