对于的羽毛皮行为产生不同的人工选择的遗传和神经表观遗传效应
Elske N de Haas1,2, Fábio Pértille3,4, Joergen B Kjaer5,6
1Department of Veterinary Science, Animals in Science and Society, Utrecht University, Utrecht, The Netherlands. endehaas@gmail.com.
BMC genomics
|December 20, 2024
概括
这项研究揭示了副本数变异 (CNV) 是羽 (FP) 行为的关键驱动因素,影响与神经功能和人类疾病相关的基因. 这些基因组变化为重复行为提供了新的见解.
科学领域:
- 动物行为遗传学 动物行为遗传学
- 神经表观遗传学 神经表观遗传学
- 基因组学就是基因组学.
背景情况:
- 羽毛是的复杂重复行为,受遗传,表观遗传和环境因素的影响.
- FP与人类发育障碍有相似之处,这使得模型对研究有价值.
- 之前对精选的高 (HFP) 和低 (LFP) 羽毛线的研究显示了行为,免疫和神经学的差异.
研究的目的:
- 为了研究高或低羽毛的行为所选择的的丘脑中的遗传和神经表观遗传因素.
- 整合对差异甲基化区域 (DMRs),单核酸多态 (SNPs) 和复制数变异 (CNVs) 的数据,以应对人工选择.
- 通过对OMIC数据与公共QTL数据库的重叠来识别与重复行为相关的新型候选基因.
主要方法:
- 在七代为高或低FP行为选择的品种中分析DMR,SNP和CNV.
- 在特定基因内识别显著的SNP和CNV.
- 整合omic数据与一个公开的羽毛的定量特征定位 (QTL) 数据库.
主要成果:
- 在TMPRSS6,SST和ARNT2等基因中确定了710个SNP,可能与FP和自闭症等人类疾病有关.
- 副本数变化 (CNV) 是受影响最大的欧米水平,在RIC3 (HFP) 和SH3RF2 (LFP) 中获得了显著的收益.
- 与QTL重叠的欧米数据揭示了与阿尔茨海默病相关的RTKN2等候选基因.
结论:
- CNVs似乎是羽毛的人工选择期间基因组多样化的关键因素.
- 该研究强调,CNV在推动行为演变方面可能比SNP更具影响力.
- 确定了用于理解和人类重复行为的新型候选基因.
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