选择导致使用流行的方法虚假推断内入
Megan L Smith1,2, Matthew W Hahn2,3
1Department of Biological Sciences, Mississippi State University, Starkville, MS 39762, USA.
Genetics
|May 28, 2024
概括
选择对检测种群之间的基因流动的准确性产生重大影响. 忽视选择可能会导致错误的迁移信号,需要新的,强大的方法来进行进化生物学研究.
科学领域:
- 进化生物学 进化生物学
- 人口遗传学 人口遗传学
- 基因组学就是基因组学.
背景情况:
- 在进化生物学中,检测入侵和迁移率至关重要.
- 当前的方法往往假定中性进化,这是越来越多地被认为是不现实的,由于普遍的选择.
- 忽视选择可能会对人口统计学推断产生负面影响.
研究的目的:
- 研究生物现实选择对迁移推断的影响.
- 评估不同选择模型如何影响常用的种群遗传方法.
- 评估正在选择的现有方法的可靠性.
主要方法:
- 在各种选择模型下模拟人口遗传数据:背景选择,选择性扫描,平衡选择和自适应性内向.
- 使用基于现场频谱和直接序列分析 (BPP) 的方法分析数据.
主要成果:
- 忽视选择导致了基于站点频谱的方法中错误的迁移推断.
- 均衡选择和一些背景选择模型错误地建议迁移 (与迁移的隔离模型).
- BPP方法在测试条件下产生了错误的阳性迁移,特别是在最近的分歧时间.
结论:
- 当选择存在时,推断迁移的现有方法可能不可靠.
- 为了准确地推断人口统计数据,需要采用强大的选择效应的新方法.
- 选择对迁移检测的影响强调了对更现实的进化模型的需求.
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