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首页> 外文期刊>The Royal Society Proceedings B: Biological Sciences >Deriving dispersal distances from genetic data.
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Deriving dispersal distances from genetic data.

机译:从遗传数据得出分散距离。

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Dispersal is one of the most important factors determining the genetic structure of a population, but good data on dispersal distances are rare because it is difficult to observe a large sample of dispersal events. However, genetic data contain unbiased information about the average dispersal distances in species with a strong sex bias in their dispersal rates. By plotting the genetic similarity between members of the philopatric sex against some measure of the distance between them, the resulting regression line can be used for estimating how far dispersing individuals of the opposite sex have moved before settling. Dispersers showing low genetic similarity to members of the opposite sex will on average have originated from further away. Applying this method to a microsatellite dataset from lions (Panthera leo) shows that their average dispersal distance is 1.3 home ranges with a 95% confidence interval of 0.4-3.0 home ranges. These results are consistent with direct observations of dispersal from our study population and others. In this case, direct observations of dispersal distance were not detectably biased by a failure to detect long-range dispersal, which is thought to be a common problem in the estimation of dispersal distance.
机译:分散是决定种群遗传结构的最重要因素之一,但是很少有关于分散距离的良好数据,因为很难观察到大量的分散事件样本。但是,遗传数据包含有关物种的平均扩散距离的无偏见信息,这些物种的扩散速度具有强烈的性别偏见。通过绘制不同年龄之间成员之间遗传距离的遗传相似度,得出的回归线可用于估计异性散居者在定居之前已经走了多远。平均而言,与异性成员遗传相似性低的分散体起源于更远的地方。将这种方法应用于狮子(Panthera leo)的微卫星数据集显示,它们的平均分散距离为1.3个主范围,其95%置信区间为0.4-3.0个主范围。这些结果与我们的研究人群和其他人对分散的直接观察一致。在这种情况下,对分散距离的直接观察不会因无法检测到远程分散而产生可检测的偏差,这被认为是估算分散距离时的常见问题。

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