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测试时间:使用古代DNA解开最近和复杂的人口结构中的混合历史

Matthew P Williams¹, Pavel Flegontov^2,3, Robert Maier³

¹Department of Biology, Pennsylvania State University, University Park, PA 16802, USA.

|July 16, 2024

概括

古遗传学准确地重建了最近的人类历史,使用像qpAdm.这样的混合推断方法. 种群差异化是方法性能的关键,即使是复杂的基因流.

科学领域:

古遗传学是古遗传学的一部分.
人类的进化历史人类的进化历史
人口遗传学人口遗传学

背景情况:

古遗传学对人类进化有了先进的理解,特别是在最近的历史中.
评估古遗传学方法对历史和考古问题的准确性至关重要,因为人口复杂性日益增加,遗传差异化减少.

研究的目的:

评估qpAdm和f3-统计混合推断方法的性能.
在各种人口模型和古代DNA数据条件下评估他们的行为.

主要方法:

使用了两种模拟方法:用分支长度数据探索人口参数空间,用古代DNA条件下的全基因组数据分析欧亚历史 (SNP确定,失踪,伪化).
在混合物推断上评估了qpAdm和f3统计性能.

主要成果:

人口差异化是qpAdm性能的主要驱动因素.
复杂的基因流史不会降低整体性能,但会影响模型的可信性.
在历史条件下,qpAdm在密切相关的群体中准确地识别真实模型.
结合qpAdm P值和f3统计数据的启发式提高了微小的假设分辨率.
全基因组分支长度f2统计数据显著提高了qpAdm的性能.

结论:

qpAdm是用于混合推断的可靠方法,特别是当人口差异化很高时.
拟议的启发式帮助区分密切相关的人口模型.
在f-统计估计方面的进步,特别是在全基因组数据方面,有望改善古遗传学中的人口推断.

关键词:

f-统计 f-统计 f-统计一个DNADNA的DNA 添加剂混合物添加剂古代的 DNA DNA 古代的 DNA DNA 考古遗传学考古遗传学考古遗传学古遗传学是一种古遗传学.qpAdmmm 是一个管理系统.

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