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Number of individuals and molecular markers to use in genetic differentiation studies

机译:基因分化研究中使用的个体数量和分子标记

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Molecular markers are frequently used to study genetic variation among individuals within or between populations. Differences in marker banding patterns can be used to verify if individuals do, or do not, represent distinct groups or populations. Only in 2005, more than 500 studies used molecular markers to group individuals in clusters. Such studies make use of an arbitrary number of molecular markers from each of an arbitrary number of individuals presumed to represent distinct genotypes. However, the greater the genetic variation, the more likely a larger number of individuals and markers will be needed to capture a population's genetic signature. The numbers of both, markers and individuals included thus affect the way in which individuals are organized through cluster analyses, thereby affecting the conclusions drawn. Here we present a method that provides statistical criteria to verify that individual and marker sample sizes are sufficient to accurately depict genetic differentiation among different populations. Our method uses a resampling technique to assess the reproducibility of obtaining a particular grouping pattern for specific data sets. It thus, allows to estimate the robustness of the results obtained without including additional individuals, or markers.
机译:分子标记通常用于研究群体内或群体间个体之间的遗传变异。标记条带模式的差异可用于验证个人是否代表不同的群体或群体。仅在2005年,超过500项研究使用分子标记对个体进行了分组。此类研究利用了来自任意数量的假定代表不同基因型的个体中的每个分子的任意数量的分子标记。但是,遗传变异越大,捕获种群的遗传标记所需要的个体和标记的可能性就越大。因此,包括的标记物和个体的数目都影响通过聚类分析组织个体的方式,从而影响得出的结论。在这里,我们提出一种提供统计标准的方法,以验证个体和标记物样本量足以准确描述不同人群之间的遗传分化。我们的方法使用重采样技术来评估针对特定数据集获得特定分组模式的可重复性。因此,它可以估计获得的结果的鲁棒性,而无需包括其他个人或标记。

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