人口结构对最近历史有效人口规模的估计的影响,由GONE软件进行
Irene Novo1, Pilar Ordás2, Natalia Moraga2
1Centro de Investigación Mariña, Universidade de Vigo, Facultade de Bioloxía, 36310, Vigo, Spain. irene.novo.gimenez@uvigo.gal.
Genetics, selection, evolution : GSE
|December 4, 2023
概括
使用GONE软件对有效人口大小 (Ne) 的估计可能会因人口混合和迁移而产生偏见. 人口结构分析可以帮助减轻这些偏见,以获得更准确的历史Ne估计.
科学领域:
- 人口遗传学 人口遗传学
- 保护遗传学 保护遗传学
- 定量遗传学 是一个量子遗传学.
背景情况:
- 有效种群大小 (Ne) 对于保护和繁殖至关重要.
- GONE软件从单个样本中估计了最近的历史Ne.
- GONE假设人口隔离,但迁移/混合可能会导致估计偏差.
研究的目的:
- 评估迁移和混合对GONE历史Ne估计的影响.
- 在各种人口结构场景下调查偏见.
- 确定减轻这些偏见的方法.
主要方法:
- 人口遗传学场景的计算机模拟.
- 场景包括混合,连续迁移,基因流动和染色体逆转.
- 在模拟条件下分析GONE软件的Ne估计准确度.
主要成果:
- 最近的人口混合显著偏差了GONE的历史Ne估计.
- 低迁移率和高频率的染色体反转也导致了实质性的偏差.
- 通过进行人口结构分析和专注于差异化群体,可以减少偏见.
结论:
- 从人口隔离和泛混合的偏差引入历史Ne估计中的偏差.
- 建议在预估前进行人口结构分析,以减轻偏差.
- 考虑到人口结构,可以提高过去人口统计估计的准确性.
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