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Estimating the number of sexual events per generation in a facultatively sexual haploid population

机译:估算易性性单倍性群体中每种生成的性事件数量

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In populations of facultatively sexual organisms, the proportion of sexually produced offspring contributed to each generation is a critical determinant of their evolutionary potential. However, estimating this parameter in natural populations has proved difficult. Here we develop a population genetic model for estimating the number of sexual events occurring per generation for facultatively sexual haploids possessing a biallelic mating-type locus (e.g., Chlamydomonas, ascomycete fungi). Our model treats the population as two subpopulations possessing opposite mating-type alleles, which exchange genes only when a sexual event takes place. Where mating types are equally abundant, we show that, for a neutral genetic marker, genetic differentiation between mating-type subpopulations is a simple function of the effective population size, the frequency of sexual reproduction, and the recombination fraction between the genetic marker and the mating-type locus. We employ simulations to examine the effects of linkage of markers to the mating-type locus, inequality of mating-type frequencies, mutation rate, and selection on this relationship. Finally, we apply our model to estimate the number of sexual reproduction events per generation in populations of four species of facultatively sexual ascomycete fungi, which have been jointly scored for mating type and a range of polymorphic molecular markers. Relative estimates are in line with expectations based on the known reproductive biology of these species.
机译:在兼性生物的群体中,对各一代的性行为后代的比例是其进化潜力的关键决定因素。然而,估计在天然群体中的这种参数已经证明是困难的。在这里,我们开发了一种群体遗传模型,用于估算每代发生的性突然性单倍体所发生的性事件数量,具有双曲线交配型基因座(例如衣原体,Ascomycete Fungi)。我们的模型将群体视为具有相对交配型等位基因的两种群体,只有在发生性事件时才交换基因。当交配类型同样丰富,我们表明,对于中性遗传标记,交配型亚群之间的遗传分化是有效种群大小,性繁殖频率和遗传标记之间的重组分数之间的遗传分化。交配型基因座。我们采用模拟来检查标记链接到交配型轨迹的影响,交配型频率不等式,突变率以及对这种关系的选择。最后,我们应用我们的模型来估计每种突然性瘦性的真菌的四种物种中生成的性繁殖事件的数量,这一直被联合得分为交配类型和一系列多态性分子标记。相对估计符合基于这些物种的已知生殖生物学的期望。

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