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Using Genetic Markers to Directly Estimate Gene Flow and Reproductive Success Parameters in Plants on the Basis of Naturally Regenerated Seedlings

机译:利用遗传标记直接估算基于自然再生苗的植物基因流和生殖成功参数

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摘要

Estimating seed and pollen gene flow in plants on the basis of samples of naturally regenerated seedlings can provide much needed information about “realized gene flow,” but seems to be one of the greatest challenges in plant population biology. Traditional parentage methods, because of their inability to discriminate between male and female parentage of seedlings, unless supported by uniparentally inherited markers, are not capable of precisely describing seed and pollen aspects of gene flow realized in seedlings. Here, we describe a maximum-likelihood method for modeling female and male parentage in a local plant population on the basis of genotypic data from naturally established seedlings and when the location and genotypes of all potential parents within the population are known. The method models female and male reproductive success of individuals as a function of factors likely to influence reproductive success (e.g., distance of seed dispersal, distance between mates, and relative fecundity–i.e., female and male selection gradients). The method is designed to account for levels of seed and pollen gene flow into the local population from unsampled adults; therefore, it is well suited to isolated, but also wide-spread natural populations, where extensive seed and pollen dispersal complicates traditional parentage analyses. Computer simulations were performed to evaluate the utility and robustness of the model and estimation procedure and to assess how the exclusion power of genetic markers (isozymes or microsatellites) affects the accuracy of the parameter estimation. In addition, the method was applied to genotypic data collected in Scots pine (isozymes) and oak (microsatellites) populations to obtain preliminary estimates of long-distance seed and pollen gene flow and the patterns of local seed and pollen dispersal in these species.
机译:根据自然再生的幼苗样本估算植物中的种子和花粉基因流量可以提供有关“已实现的基因流量”的急需信息,但似乎是植物种群生物学面临的最大挑战之一。传统的育种方法由于无法区分幼苗的雄性和雌性育种,除非得到单亲遗传标记的支持,否则无法精确描述幼苗中实现的基因流的种子和花粉方面。在这里,我们描述了一种基于自然建立的幼苗的基因型数据,并且已知种群中所有潜在亲本的位置和基因型时,在本地植物种群中对雌性和雄性亲本进行建模的最大似然法。该方法将个体的雌性和雄性生殖成功作为可能影响生殖成功的因素的函数(例如,种子散布的距离,伴侣之间的距离以及相对繁殖力,即雌性和雄性选择梯度)。该方法旨在解决未采样成虫流入当地种群的种子和花粉基因水平;因此,它非常适合于孤立的但又广泛分布的自然种群,在这些种群中,大量的种子和花粉散布使传统的亲本分析变得复杂。进行了计算机仿真,以评估模型和估计程序的实用性和鲁棒性,并评估遗传标记(同工酶或微卫星)的排斥力如何影响参数估计的准确性。此外,该方法还应用于在苏格兰松树(同工酶)和橡树(微卫星)种群中收集的基因型数据,以获得长距离种子和花粉基因流的初步估计以及这些物种中本地种子和花粉散布的模式。

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