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通过长期狼监测数据比较两个种群随时间的基因重建情况。

Comparing Genetic Reconstructions Over Time With Long-Time Wolf Monitoring Data in Two Populations.

作者信息

Pérez-Sorribes Laia, Villar-Yanez Pau, Smeds Linnéa, Mergeay Joachim

机构信息

Department of Ecology and Evolution Estación Biológica de Doñana Seville Spain.

Universitat Politècnica de Catalunya Barcelona Spain.

出版信息

Evol Appl. 2024 Oct 17;17(10):e70022. doi: 10.1111/eva.70022. eCollection 2024 Oct.

Abstract

Many methods are now available to calculate , but their performance varies depending on assumptions. Although simulated data are useful to discover certain types of bias, real empirical data supported by detailed known population histories allow us to discern how well methods perform with actual messy and complex data. Here, we focus on two genomic data sets of grey wolf populations for which population size changes of the past 40-120 years are well documented. We use this background to explore in what detail we can retrieve the known population history from these populations, in the light of pitfalls relating to population history, sampling design and the change in the spatial scale at which is estimated as we go further back in time. The Scandinavian wolf population was founded in the early 1980s from a few individuals and has gradually expanded up to 510 wolves. Although the founder event of the Scandinavian population was detected by GONE, the founding effective population size was strongly overestimated when the most recent samples were used, but less so when older samples were considered. Nevertheless, the present-day corresponds to theoretical expectations. The western Great Lakes wolf population of Minnesota is the only population in the contiguous United States that persisted throughout the 20th century, surviving intense persecution. We found a good concordance between the estimated and trends in census size data, but the reconstruction of clearly highlights the difficulty of interpreting results in spatially structured populations that underwent demographic fluctuations.

摘要

现在有许多方法可用于计算有效种群大小(Ne),但其性能因假设不同而有所差异。尽管模拟数据有助于发现某些类型的偏差,但由详细的已知种群历史支持的实际经验数据使我们能够了解这些方法在处理实际的混乱复杂数据时的表现。在这里,我们聚焦于两个灰狼种群的基因组数据集,过去40 - 120年里它们的种群大小变化有详细记录。我们利用这一背景,鉴于与种群历史、抽样设计以及随着时间回溯估计有效种群大小(Ne)时空间尺度变化相关的陷阱,探讨我们能从这些种群中在多大程度上详细检索已知的种群历史。斯堪的纳维亚狼种群于20世纪80年代初由少数个体建立,现已逐渐扩大到510只狼。尽管GONE检测到了斯堪的纳维亚种群的奠基事件,但在使用最新样本时,奠基有效种群大小被严重高估,而考虑 older samples时高估程度较小。然而,如今的有效种群大小(Ne)符合理论预期。明尼苏达州西部大湖地区的狼种群是美国本土唯一在整个20世纪持续存在并在遭受强烈迫害下存活下来的种群。我们发现估计的有效种群大小(Ne)与普查规模数据的趋势之间有很好的一致性,但有效种群大小(Ne)的重建清楚地凸显了在经历人口统计学波动的空间结构化种群中解释结果的困难。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7489/11486914/bf2c10885cc2/EVA-17-e70022-g002.jpg

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