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估算海洋和淡水棘鱼的近期及历史有效种群大小

Estimating Recent and Historical Effective Population Size of Marine and Freshwater Sticklebacks.

作者信息

Feng Xueyun, Löytynoja Ari, Merilä Juha

机构信息

Organismal and Evolutionary Biology Programme, University of Helsinki, Helsinki, Finland.

Institute of Biotechnology, University of Helsinki, Helsinki, Finland.

出版信息

Mol Ecol. 2025 Jul;34(13):e17825. doi: 10.1111/mec.17825. Epub 2025 Jun 8.

Abstract

Effective population size (N) is a quantity of central importance in evolutionary biology and population genetics, but often notoriously challenging to estimate. Analyses of N are further complicated by the many interpretations of the concept and the alternative approaches to quantify N utilising different properties of the data. Each method is also informative over different time scales, suggesting that a combination of approaches should allow piecing together the entire continuum of N, spanning from the recent to more distant past. To test this in practice, we inferred the N continuum for 45 populations of nine-spined sticklebacks (Pungitius pungitius) using whole-genome data with both LD- and coalescent-based methods. Our results show that marine populations exhibit the highest N values in contemporary, recent, and historical times, followed by coastal and freshwater populations. The results also demonstrate the impact of both recent and historical gene flow on N estimates and show that simple summary statistics are informative in comprehending the events in the very recent past and aid in more accurate estimation of , the contemporary N, as well as in reconstruction and interpretation of recent demographic histories. Although our sample size for each large population is limited, we found that GONE can provide reasonable N estimates. However, due to challenges in detecting subtle genetic drift in large populations, these estimates may represent the lower bound of N. Finally, we show that combining GONE and CurrentNe2, both sensitive to population structure, with MSMC2 provides a meaningful interpretation of N dynamics over time.

摘要

有效种群大小(N)在进化生物学和种群遗传学中是一个至关重要的量,但通常极难估计。N的分析因该概念的多种解释以及利用数据不同属性来量化N的不同方法而进一步复杂化。每种方法在不同时间尺度上也都有参考价值,这表明多种方法结合应能拼凑出N的完整连续变化情况,涵盖从最近到更久远的过去。为了在实践中检验这一点,我们使用基于连锁不平衡(LD)和溯祖理论的方法,利用全基因组数据推断了九刺鱼(Pungitius pungitius)45个种群的N连续变化情况。我们的结果表明,在当代、近期和历史时期,海洋种群的N值最高,其次是沿海和淡水种群。结果还证明了近期和历史基因流对N估计值的影响,并表明简单的汇总统计数据有助于理解最近发生的事件,有助于更准确地估计当代N值 ,以及重建和解释近期的种群历史。尽管我们对每个大种群的样本量有限,但我们发现GONE可以提供合理的N估计值。然而,由于在大种群中检测细微遗传漂变存在挑战,这些估计值可能代表了N的下限。最后,我们表明,将对种群结构敏感的GONE和CurrentNe2与MSMC2相结合,能够对N随时间的动态变化做出有意义的解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/96e2/12186715/c5b568923126/MEC-34-e17825-g002.jpg

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