Van Oosterhout C, Van Heuven M K, Brakefield P M
Section of Evolutionary Biology, Institute of Biology, Leiden University, P.O. Box 9516, 2300 RA Leiden, the Netherlands.
Mol Ecol. 2004 May;13(5):1025-34. doi: 10.1111/j.1365-294X.2004.02114.x.
Many studies employ molecular markers to infer ecological and evolutionary processes, assuming that variation found at genetic loci offers a reliable representation of stochastic events in natural populations. Increasingly, evidence emerges that molecular markers might not always be selectively neutral. However, only a few studies have analysed how deviations from neutrality could affect estimates of genetic variation, using populations with known genealogy. We monitored changes in allozyme variation over eight generations in captive metapopulations of the butterfly Bicyclus anynana. Population demography was recorded by individually marking 35 000 butterflies and constructing pedigrees. We designed a computer program that simulated the inheritance of founder allozyme alleles in butterfly pedigrees. We thus tested whether the observed transmission of allozyme alleles could be explained by random genetic drift alone, or whether there was evidence for positive or negative selection. This analysis showed that in the smallest metapopulations the loss of allozyme variation exceeded the neutral rate. Possibly, linkage disequilibria between deleterious mutations and marker alleles resulted in background selection and a faster erosion of allozyme variation. In larger metapopulations, one locus (MDH) showed a significant heterozygote excess and smaller than expected loss in heterozygosity, observations consistent with (associative) overdominance. This study demonstrates that the neutrality of molecular markers cannot always be assumed, particularly in small populations with a high mutation load.
许多研究采用分子标记来推断生态和进化过程,假定在基因位点发现的变异能够可靠地反映自然种群中的随机事件。越来越多的证据表明,分子标记可能并非总是选择性中性的。然而,只有少数研究利用具有已知谱系的种群,分析了偏离中性如何影响遗传变异的估计。我们监测了圈养的非洲长尾凤蝶复合种群在八代中的等位酶变异变化。通过对35000只蝴蝶进行个体标记并构建谱系来记录种群统计学。我们设计了一个计算机程序,模拟蝴蝶谱系中奠基者等位酶等位基因的遗传。因此,我们测试了观察到的等位酶等位基因的传递是否仅能用随机遗传漂变来解释,或者是否有正选择或负选择的证据。该分析表明,在最小的复合种群中,等位酶变异的丧失超过了中性速率。有害突变与标记等位基因之间的连锁不平衡可能导致背景选择以及等位酶变异更快地受到侵蚀。在较大的复合种群中,一个位点(苹果酸脱氢酶,MDH)显示出显著的杂合子过剩以及杂合性损失小于预期,这些观察结果与(关联)超显性一致。这项研究表明,不能总是假定分子标记是中性的,特别是在具有高突变负荷的小种群中。