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首页> 外文期刊>The Royal Society Proceedings B: Biological Sciences >Allele excess at neutrally evolving microsatellites and the implications for tests of neutrality.
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Allele excess at neutrally evolving microsatellites and the implications for tests of neutrality.

机译:中性进化的微卫星的等位基因过量及其对中性测试的影响。

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摘要

Skews in the observed allele-frequency spectrum are frequently viewed as an indication of non-neutral evolution. Recent surveys of microsatellite variability have used an excess of alleles as a statistical approach to infer positive selection. Using neutral coalescent simulations we demonstrate that the mean numbers of alleles expected under the stepwise-mutation model and infinite-allele model deviate from the observed numbers of alleles. The magnitude of this difference is dependent on the sample size, mutation rates (theta-values) and observed gene diversities. Moreover, we show that the number of observed alleles differs among loci with the same observed gene diversity but different mutation rates (theta-values). We propose that a reliable test statistic based on allele excess must determine the confidence interval by computer simulations conditional on the observed gene diversity and theta-values. As the latter are notoriously difficult to obtain for experimental data, we suggest that other statistics, such as lnRV, may be better suited to the identification of microsatellite loci subject to selection.
机译:观察到的等位基因频谱中的偏斜经常被视为非中性进化的指示。最近对微卫星变异性的调查已使用过量的等位基因作为推断阳性选择的统计方法。使用中性合并模拟,我们证明了在逐步突变模型和无限等位基因模型下预期的等位基因平均数与观察到的等位基因数不同。这种差异的大小取决于样本量,突变率(θ值)和观察到的基因多样性。此外,我们显示,在具有相同观察基因多样性但突变率(θ值)不同的基因座中,观察到的等位基因数目不同。我们建议基于等位基因过量的可靠测试统计数据必须通过计算机模拟来确定置信区间,该模拟取决于观察到的基因多样性和theta值。众所周知,后者很难获得实验数据,因此我们建议其他统计数据(如lnRV)可能更适合于识别要选择的微卫星基因座。

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