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在现实情况下,有无恢复情况下检测瓶颈所需的标记和样本数量:基于模拟的研究。

The number of markers and samples needed for detecting bottlenecks under realistic scenarios, with and without recovery: a simulation-based study.

出版信息

Mol Ecol. 2013 Jul;22(13):3444-50. doi: 10.1111/mec.12258.

Abstract

Detecting bottlenecks is a common task in molecular ecology. While several bottleneck detection method sexist, evaluations of their power have focused only on severe bottlenecks (e.g. to Ne ~10). As a component of a recent review, Peery et al. (2012) analysed the power of two approaches, the M-ratio and heterozygote excess tests, to detect moderate bottlenecks (e.g. to Ne ~100),which is realistic for many conservation situations. In this Comment, we address three important points relevant to but not considered in Peery et al. Under moderate bottleneck scenarios, we test the (i) relative advantage of sampling more markers vs. more individuals, (ii) potential power to detect the bottleneck when utilizing dozens of microsatellites (a realistic possibility for contemporary studies) and (iii) reduction in power when post bottle neck recovery has occurred. For the realistic situations examined,we show that (i) doubling the number of loci shows equal or better power than tripling the number of individuals,(ii) increasing the number of markers (up to 100) results in continued additive gains in power, and (iii)recovery after a moderate amount of time or gradual change in size reduces power, by up to one-half. Our results provide a practical supplement to Peery et al. and encourage the continued use of bottleneck detection methods in the genomic age, but also emphasize that the power under different sampling schemes should be estimated,using simulation modelling, as a routine component of molecular ecology studies.

摘要

检测瓶颈是分子生态学中的一项常见任务。虽然有几种瓶颈检测方法,但对它们的效能评估仅集中在严重瓶颈(例如 Ne ~10)上。作为最近一篇综述的一部分,Peery 等人(2012)分析了两种方法(M 比和杂合子过剩检验)检测中度瓶颈(例如 Ne ~100)的效能,这对于许多保护情况来说是现实的。在本评论中,我们讨论了与 Peery 等人的研究相关但未考虑的三个重要观点。在中度瓶颈情况下,我们测试了(i)增加样本量与增加个体数量相比的相对优势,(ii)利用数十个微卫星检测瓶颈的潜在效能(这是当代研究的一种现实可能性),以及(iii)瓶颈后恢复时的效能降低。对于所检查的现实情况,我们表明(i)增加两倍的标记数量与增加三倍的个体数量相比具有相同或更好的效能,(ii)增加标记数量(多达 100)会持续增加效能增益,以及(iii)在中度时间或大小逐渐变化后恢复会降低效能,最多降低一半。我们的结果为 Peery 等人提供了实用的补充,并鼓励在基因组时代继续使用瓶颈检测方法,但也强调应使用模拟建模来估计不同采样方案下的效能,作为分子生态学研究的常规组成部分。

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