近亲繁殖抑郁症
近亲繁殖
生物
遗传漂变
种群分化
遗传学
人口
过度显性
遗传负荷
远缘繁殖抑郁症
突变
固定(群体遗传学)
人口规模小
突变积累
背景(考古学)
血缘关系
选择(遗传算法)
遗传变异
突变率
有效人口规模
进化生物学
等位基因
生态学
基因
人口学
古生物学
人工智能
社会学
栖息地
计算机科学
作者
Jinliang Wang,William G. Hill,Deborah Charlesworth,Brian Charlesworth
出处
期刊:Genetics Research
[Cambridge University Press]
日期:1999-10-01
卷期号:74 (2): 165-178
被引量:245
标识
DOI:10.1017/s0016672399003900
摘要
A multilocus stochastic model is developed to simulate the dynamics of mutational load in small populations of various sizes. Old mutations sampled from a large ancestral population at mutation–selection balance and new mutations arising each generation are considered jointly, using biologically plausible lethal and deleterious mutation parameters. The results show that inbreeding depression and the number of lethal equivalents due to partially recessive mutations can be partly purged from the population by inbreeding, and that this purging mainly involves lethals or detrimentals of large effect. However, fitness decreases continuously with inbreeding, due to increased fixation and homozygosity of mildly deleterious mutants, resulting in extinctions of very small populations with low reproductive rates. No optimum inbreeding rate or population size exists for purging with respect to fitness (viability) changes, but there is an optimum inbreeding rate at a given final level of inbreeding for reducing inbreeding depression or the number of lethal equivalents. The interaction between selection against partially recessive mutations and genetic drift in small populations also influences the rate of decay of neutral variation. Weak selection against mutants relative to genetic drift results in apparent overdominance and thus an increase in effective size ( N e ) at neutral loci, and strong selection relative to drift leads to a decrease in N e due to the increased variance in family size. The simulation results and their implications are discussed in the context of biological conservation and tests for purging.
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