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关联超显性、杂合性与适合度。

Associative overdominance, heterozygosity and fitness.

作者信息

Pamilo P, Pálsson S

机构信息

Department of Genetics, University of Uppsala, Sweden.

出版信息

Heredity (Edinb). 1998 Oct;81 ( Pt 4):381-9. doi: 10.1046/j.1365-2540.1998.00395.x.

Abstract

Our aim in this study was to examine the power of associative overdominance in creating a correlation between individual heterozygosity and fitness and in maintaining genetic polymorphism at neutral loci. This was undertaken by simulating a diploid model with five chromosomes, each with 1000 loci that could have deleterious mutations linked to neutral markers located on the same chromosomes. The simulations were carried out with various combinations of the following parameters: population size (N), number of crossovers (c), selection coefficient (s) and dominance (h). All combinations of parameter values resulted in a positive regression of the fitness on the individual marker heterozygosity, although the fitness differences were not very large when c = 2. The association between individual heterozygosity and fitness was clearest for recessive mutations (small h) with intermediate selection coefficients in small populations. The level of marker heterozygosity in the population was higher than the neutral expectation for many parameter values, even though regression of fitness on heterozygosity was not always steep at the individual level. These results agreed with the conclusion that associative overdominance could help to maintain polymorphisms in small populations. Strong selection occasionally yielded gene diversities lower than the neutral expectation, reflecting the prediction that strong selection reduces the effective population size.

摘要

本研究的目的是检验关联超显性在个体杂合性与适合度之间建立相关性以及在维持中性位点的遗传多态性方面的作用。这是通过模拟一个具有五条染色体的二倍体模型来进行的,每条染色体有1000个位点,这些位点可能存在与位于同一条染色体上的中性标记相连的有害突变。模拟是在以下参数的各种组合下进行的:种群大小(N)、交叉数(c)、选择系数(s)和显性度(h)。尽管当c = 2时适合度差异不是很大,但所有参数值的组合都导致了适合度对个体标记杂合性的正回归。在小种群中,对于具有中等选择系数的隐性突变(小h),个体杂合性与适合度之间的关联最为明显。尽管在个体水平上适合度对杂合性的回归并不总是很陡峭,但对于许多参数值,种群中标记杂合性的水平高于中性预期。这些结果与关联超显性有助于在小种群中维持多态性的结论一致。强选择偶尔会导致基因多样性低于中性预期,这反映了强选择会降低有效种群大小的预测。

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