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扩散、选择和采样时间在地理范围扩张过程中对选择位点的错误发现率的影响。

The role of dispersal, selection, and timing of sampling on the false discovery rate of loci under selection during geographic range expansion.

机构信息

Université de Montréal, Département de sciences biologiques, CP 6128 Succursale Centre-Ville Montréal, QC H3C 3J7, Canada.

TÉLUQ (Université du Québec), Département Science et Technologie, 5800 rue Saint-Denis, Montréal, QC H2S 3L5, Canada.

出版信息

Genome. 2019 Nov;62(11):715-727. doi: 10.1139/gen-2019-0004. Epub 2019 Jul 25.

DOI:10.1139/gen-2019-0004
PMID:31344331
Abstract

Identifying adaptive loci is important to understand the evolutionary potential of species undergoing range expansion. However, in expanding populations, spatial demographic processes such as allele surfing can create spatial patterns of neutral genetic variation that appear similar to those generated through adaptive processes. As a result, the false discovery rate of adaptive loci may be inflated in landscape genomic analyses. Here, we take a simulation modelling approach to investigate how range expansion affects our ability to correctly distinguish between neutral and adaptive genetic variation, using the mountain pine beetle outbreak system as a motivating example. We simulated the demographic and population genetic dynamics of populations undergoing range expansion using an individual-based genetic model CDMetaPOP. We investigated how the false discovery rate of adaptive loci is affected by () dispersal capacity, () timing of sampling, and () the strength of selection on an adaptive reference locus. We found that a combination of weak dispersal, weak selection, and early sampling presents the greatest risk of misidentifying loci under selection. Expanding populations present unique challenges to the reliable identification of adaptive loci. We demonstrate that there is a need for further methodological development to account for directional demographic processes in landscape genomics.

摘要

鉴定适应位点对于了解经历范围扩张的物种的进化潜力很重要。然而,在扩张的种群中,等位基因冲浪等空间人口过程会产生中性遗传变异的空间模式,这些模式看起来与通过适应过程产生的模式相似。因此,景观基因组分析中适应性基因座的假发现率可能会过高。在这里,我们采用模拟建模的方法,以山松甲虫爆发系统为例,研究了范围扩展如何影响我们正确区分中性和适应性遗传变异的能力。我们使用基于个体的遗传模型 CDMetaPOP 模拟了经历范围扩展的种群的人口和遗传动态。我们研究了适应性基因座的假发现率如何受到()扩散能力、()采样时间和()适应性参考基因座上选择强度的影响。我们发现,弱扩散、弱选择和早期采样的组合会增加识别选择下的基因座的错误风险。扩张的种群对适应性基因座的可靠鉴定提出了独特的挑战。我们证明需要进一步开发方法学来解释景观基因组学中的定向人口过程。

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