预测英国最近自然选择的功能后果
Lin Poyraz1,2, Laura L Colbran1, Iain Mathieson1
1Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
bioRxiv : the preprint server for biology
|October 31, 2023
概括
古老的DNA揭示了自然选择.
科学领域:
- 人类进化基因组学
- 人口遗传学 人口遗传学
- 古代DNA分析 古代DNA分析
背景情况:
- 从古老的DNA中推断自然选择的表型后果是具有挑战性的.
- 非编码变体可能在选择的表型效应中发挥重要作用.
- 在古代个体中直接测量基因表达是不可能的.
研究的目的:
- 用古老的DNA来预测基因表达的变化.
- 通过分析预测的基因表达来识别受选择的基因和基因位点.
- 整合基因组和表达数据,以全面了解自然选择.
主要方法:
- 利用关节组织推断 (JTI) 来从基因型数据中预测基因表达.
- 分析了英国人的17,384个基因的预测基因表达,跨越了4500年的时间.
- 将全转录组扫描结果与全基因组扫描对选择系数进行比较.
主要成果:
- 在七个基因组位点确定了28个基因,在4500年内预测表达的显著变化.
- 突出了特定的基因,其表达在先前识别的位置上发生了转移.
- 在两个新型基因位置 (SLC44A5和NUP85) 发现基因表达的选择,仅通过基因组扫描无法检测到.
结论:
- 关节组织输入 (JTI) 有效地预测了古老人群中的基因表达变化.
- 这种方法可以识别作用于基因表达的自然选择的新目标.
- 将基因组选择统计数据与JTI模型相结合,可以利用当今数据加强对选择的研究.
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