Savolainen O, Hedrick P
Department of Genetics, University of Oulu, Finland.
Genetics. 1995 Jun;140(2):755-66. doi: 10.1093/genetics/140.2.755.
The association of six quantitative traits related to fitness with heterozygosity at 12 allozyme loci has been examined in three populations of Scots pine, Pinus sylvestris. Because of several characteristics of this organism and of this extensive data set, it appeared that this study would show a positive association between heterozygosity and these traits if indeed heterozygotes had higher values for these quantitative traits. Using several different statistical techniques including analysis of variance, regression with the scaling recommended from the adaptive distance model, and multiple regression, no evidence of an association was found. For example, only between 7 and 8% of the regression tests were significant at the 5% level and half of these showed a positive association and half showed a negative association. Further, the multiple regression analysis explained on average only 5.8% of the variation observed in the six different traits and only 1.5% of this variation was explained by a positive association. Power analysis was carried out (for the first time on these type of data), both for the single locus heterozygous advantage and the association of individual multiple locus heterozygosity and the quantitative traits. For diameter and height, two traits often used in similar studies, the average power to detect a single locus heterozygous advantage of 0.10 was 0.737 and the average power to detect a mean heterozygote advantage of 0.05 per locus for multiple loci was 0.797. As a result of this study and an examination of the published results from other studies, it appears that what positive associations have been observed are probably not, in large part, due to the presence of intrinsic heterozygote advantage.
在欧洲赤松(Pinus sylvestris)的三个种群中,研究了与适合度相关的六个数量性状与12个等位酶位点杂合性之间的关联。由于该生物体和这个庞大数据集的几个特征,如果杂合子在这些数量性状上确实具有更高的值,那么这项研究似乎会显示杂合性与这些性状之间存在正相关。使用了几种不同的统计技术,包括方差分析、采用适应性距离模型推荐的标度进行回归以及多元回归,但未发现关联的证据。例如,在5%的显著水平下,只有7%至8%的回归检验是显著的,其中一半显示正相关,一半显示负相关。此外,多元回归分析平均仅解释了六个不同性状中观察到的变异的5.8%,而这种变异中只有1.5%是由正相关解释的。进行了功效分析(首次针对这类数据),包括单一位点杂合优势以及个体多位点杂合性与数量性状的关联。对于直径和高度这两个在类似研究中经常使用的性状,检测单一位点杂合优势为0.10时的平均功效为0.737,检测多个位点每个位点平均杂合优势为0.05时的平均功效为0.797。这项研究以及对其他研究已发表结果的审查表明,所观察到的正相关在很大程度上可能并非由于内在杂合优势的存在。