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

IF 3.5 2区 生物学 Q1 EVOLUTIONARY BIOLOGY
Laia Pérez-Sorribes, Pau Villar-Yanez, Linnéa Smeds, Joachim Mergeay
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Abstract

Many methods are now available to calculate Ne, 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 Ne 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 Ne 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 Ne and trends in census size data, but the reconstruction of Ne clearly highlights the difficulty of interpreting results in spatially structured populations that underwent demographic fluctuations.

Abstract Image

比较两个种群的长期狼监测数据与遗传 Ne 重建的时间关系
现在有许多计算 Ne 的方法,但其性能因假设条件不同而各异。虽然模拟数据有助于发现某些类型的偏差,但有详细已知种群历史支持的真实经验数据可以让我们分辨出这些方法在实际混乱和复杂数据中的表现如何。在这里,我们将重点放在灰狼种群的两个基因组数据集上,这些数据集详细记录了过去 40-120 年间种群数量的变化。我们将利用这一背景,根据与种群历史、取样设计以及随着时间的推移Ne估计的空间尺度的变化有关的隐患,探讨从这些种群中检索已知种群历史的详细程度。斯堪的纳维亚狼种群始建于 20 世纪 80 年代初,最初只有几只,后来逐渐扩大到 510 只。虽然斯堪的纳维亚种群的创始事件已被 GONE 检测到,但当使用最新样本时,创始有效种群规模被严重高估,而当考虑较早样本时,高估程度较低。尽管如此,现今的 Ne 还是符合理论预期。明尼苏达州五大湖西部的狼种群是美国毗连地区唯一一个在整个20世纪都持续存在的种群,它经受住了猛烈的迫害。我们发现估计的Ne值与普查规模数据的趋势之间有很好的一致性,但Ne值的重建清楚地凸显了在经历了人口波动的空间结构种群中解释结果的困难。
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来源期刊
Evolutionary Applications
Evolutionary Applications 生物-进化生物学
CiteScore
8.50
自引率
7.30%
发文量
175
审稿时长
6 months
期刊介绍: Evolutionary Applications is a fully peer reviewed open access journal. It publishes papers that utilize concepts from evolutionary biology to address biological questions of health, social and economic relevance. Papers are expected to employ evolutionary concepts or methods to make contributions to areas such as (but not limited to): medicine, agriculture, forestry, exploitation and management (fisheries and wildlife), aquaculture, conservation biology, environmental sciences (including climate change and invasion biology), microbiology, and toxicology. All taxonomic groups are covered from microbes, fungi, plants and animals. In order to better serve the community, we also now strongly encourage submissions of papers making use of modern molecular and genetic methods (population and functional genomics, transcriptomics, proteomics, epigenetics, quantitative genetics, association and linkage mapping) to address important questions in any of these disciplines and in an applied evolutionary framework. Theoretical, empirical, synthesis or perspective papers are welcome.
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