An evaluation of genetic distances for use with microsatellite loci.
An evaluation of genetic distances for use with microsatellite loci.
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DOI：
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发表时间：
1994-09
期刊：
影响因子：
3.3
通讯作者：
David Goldstein;M. Feldman;L. Cavalli-Sforza
中科院分区：
文献类型：
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作者：
David Goldstein;M. Feldman;L. Cavalli-Sforza
微卫星座位上的等位基因突变往往会导致重复分数与衍生等位基因相似的等位基因。因此，等位基因之间的重复分数的差异携带着自它们共享共同的祖先等位基因以来所经过的时间量的信息。基于无限等位基因模型的遗传距离忽略了这些信息。在这里，我们开发了一个基于逐步突变模型的遗传距离，该模型包括等位基因重复得分。我们采用了逐步突变模型的早期处理方法，以解析的方式表明这一距离的期望是时间的线性函数。然后，我们使用计算机模拟来评估这一距离的总体可靠性，并将其与等位基因共享和Nei距离进行比较。我们发现，没有距离在所有目的上都是一致优越的，但对于充分分化的分类群的系统发育重建，我们的新距离是可取的。
Mutations of alleles at microsatellite loci tend to result in alleles with repeat scores similar to those of the alleles from which they were derived. Therefore the difference in repeat score between alleles carries information about the amount of time that has passed since they shared a common ancestral allele. This information is ignored by genetic distances based on the infinite alleles model. Here we develop a genetic distance based on the stepwise mutation model that includes allelic repeat score. We adapt earlier treatments of the stepwise mutation model to show analytically that the expectation of this distance is a linear function of time. We then use computer simulations to evaluate the overall reliability of this distance and to compare it with allele sharing and Nei's distance. We find that no distance is uniformly superior for all purposes, but that for phylogenetic reconstruction of taxa that are sufficiently diverged, our new distance is preferable.