Nielsen R, Mattila D K, Clapham P J, Palsbøll P J
Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts 02138, USA.
Genetics. 2001 Apr;157(4):1673-82. doi: 10.1093/genetics/157.4.1673.
We present a new method for paternity analysis in natural populations that is based on genotypic data that can take the sampling fraction of putative parents into account. The method allows paternity assignment to be performed in a decision theoretic framework. Simulations are performed to evaluate the utility and robustness of the method and to assess how many loci are necessary for reliable paternity inference. In addition we present a method for testing hypotheses regarding relative reproductive success of different ecologically or behaviorally defined groups as well as a new method for estimating the current population size of males from genotypic data. This method is an extension of the fractional paternity method to the case where only a proportion of all putative fathers have been sampled. It can also be applied to provide abundance estimates of the number of breeding males from genetic data. Throughout, the methods were applied to genotypic data collected from North Atlantic humpback whales (Megaptera novaeangliae) to test if the males that appear dominant during the mating season have a higher reproductive success than the subdominant males.
我们提出了一种用于自然种群父权分析的新方法，该方法基于能够考虑假定亲本采样比例的基因型数据。该方法允许在决策理论框架内进行父权分配。进行模拟以评估该方法的实用性和稳健性，并评估可靠的父权推断需要多少个基因座。此外，我们提出了一种用于检验关于不同生态或行为定义群体相对繁殖成功率的假设的方法，以及一种从基因型数据估计当前雄性种群大小的新方法。该方法是分数父权法在仅对所有假定父亲的一部分进行采样的情况下的扩展。它也可用于从遗传数据提供繁殖雄性数量的丰度估计。在整个过程中，这些方法被应用于从北大西洋座头鲸（Megaptera novaeangliae）收集的基因型数据，以检验在交配季节表现出优势的雄性是否比次优势雄性具有更高的繁殖成功率。
