Hedrick Philip W
Department of Biology, Arizona State University, Tempe, Arizona, 85287-1501.
Evolution. 1999 Apr;53(2):313-318. doi: 10.1111/j.1558-5646.1999.tb03767.x.
Although highly variable loci, such as microsatellite loci, are revolutionizing both evolutionary and conservation biology, data from these loci need to be carefully evaluated. First, because these loci often have very high within-population heterozygosity, the magnitude of differentiation measures may be quite small. For example, maximum G values for populations with no common alleles at highly variable loci may be small and are at maximum less than the average within-population homozygosity. As a result, measures that are variation independent are recommended for highly variable loci. Second, bottlenecks or a reduction in population size can generate large genetic distances in a short time for these loci. In this case, the genetic distance may be corrected for low variation in a population and tests to detect bottlenecks are advised. Third, statistically significant differences may not reflect biologically meaningful differences both because the patterns of adaptive loci may not be correlated with highly variable loci and statistical power with these markers is so high. As an example of this latter effect, the statistical power to detect a one-generation bottleneck of different sizes for different numbers of highly variable loci is discussed. All of these concerns need to be incorporated in the utilization and interpretation of patterns of highly variable loci for both evolutionary and conservation biology.
尽管高度可变位点,如微卫星位点,正在彻底改变进化生物学和保护生物学,但来自这些位点的数据需要仔细评估。首先,由于这些位点通常在种群内具有非常高的杂合性,分化度量的幅度可能相当小。例如,在高度可变位点上没有共同等位基因的种群的最大G值可能很小,并且最大不超过种群内平均纯合度。因此,对于高度可变位点,建议采用与变异无关的度量方法。其次,瓶颈效应或种群规模的减小会在短时间内为这些位点产生较大的遗传距离。在这种情况下,遗传距离可能需要针对种群中的低变异进行校正,并建议进行检测瓶颈效应的测试。第三,统计上的显著差异可能并不反映生物学上有意义的差异,这既是因为适应性位点的模式可能与高度可变位点不相关,也是因为这些标记的统计功效非常高。作为后一种效应的一个例子,讨论了检测不同数量高度可变位点的不同大小一代瓶颈效应的统计功效。在进化生物学和保护生物学中,所有这些问题都需要纳入对高度可变位点模式的利用和解释中。