Nauta M J, Weissing F J
Department of Genetics, University of Groningen, Haren, The Netherlands.
Genetics. 1996 Jun;143(2):1021-32. doi: 10.1093/genetics/143.2.1021.
Microsatellites are promising genetic markers for studying the demographic structure and phylogenetic history of populations. We present theoretical arguments indicating that the usefulness of microsatellite data for these purposes may be limited to a short time perspective and to relatively small populations. The evolution of selectively neutral markers is governed by the interaction of mutation and random genetic drift. Mutation pressure has the inherent tendency to shift different populations to the same distribution of alleles. Hence, mutation pressure is a homogenizing force, and population divergence is caused by random genetic drift. In case of allozymes or sequence data, the diversifying effect of drift is typically orders of magnitude larger than the homogenizing effect of mutation pressure. By a simple model, we demonstrate that the situation may be different for microsatellites where mutation rates are high and the range of alleles is limited. With the help of computer simulations, we investigate to what extent genetic distance measures applied to microsatellite data can nevertheless yield useful estimators for phylogenetic relationships or demographic parameters. We show that predictions based on microsatellite data are quite reliable in small populations, but that already in moderately sized populations the danger of misinterpretation is substantial.
微卫星是用于研究种群的人口结构和系统发育历史的很有前景的遗传标记。我们提出理论观点,表明微卫星数据用于这些目的的有用性可能仅限于短期视角和相对较小的种群。选择性中性标记的进化受突变和随机遗传漂变相互作用的支配。突变压力具有使不同种群向相同等位基因分布转变的内在趋势。因此,突变压力是一种同质化力量,种群分化是由随机遗传漂变引起的。在同工酶或序列数据的情况下,漂变的多样化效应通常比突变压力的同质化效应大几个数量级。通过一个简单模型,我们证明对于微卫星来说情况可能不同,微卫星的突变率高且等位基因范围有限。借助计算机模拟,我们研究应用于微卫星数据的遗传距离测量在多大程度上仍能产生用于系统发育关系或人口统计学参数的有用估计值。我们表明基于微卫星数据的预测在小种群中相当可靠,但在中等规模的种群中就已经存在很大的误判风险。