在本土和商业基因组中的人工选择足迹
Siwen Wu1, Tengfei Dou2, Kun Wang2
1Department of Bioinformatics and Genomics, The University of North Carolina at Charlotte, Charlotte, NC, 28223, USA.
BMC genomics
|April 30, 2024
概括
这项研究在土著中发现了3000万种遗传变异,其中包括1000万种新型变异,揭示了更多的人工选择特征和与身体尺寸和卵子生产等特征相关的基因.
科学领域:
- 基因组学就是基因组学.
- 动物遗传学动物遗传学
- 进化生物学 进化生物学
背景情况:
- 有限的基因与特定的特征相关,尽管在中进行了大量关于人工选择的研究.
- 需要在土著品种中识别更多与特征相关的人工选择签名和基因.
研究的目的:
- 在中国云南省的五种土著品种中识别新型的人工选择特征和基因.
- 扩大对的基因型-表型关系的理解.
主要方法:
- 从五种土著品种中重新测序了85只个体.
- 单核酸变异 (SNVs) 和小插入/删除 (indels) 的识别和分析.
- 使用严格的统计模型检测选择性扫描并与商业品种和红色林鸟 (RJFs) 进行比较.
主要成果:
- 发现了3000万个SNV和小型Indels,其中1000万个是新鲜的.
- 在土著品种中发现了大量的选择性扫描和受影响基因,在商业 brojlers 和 layers 中发现了更多.
- 确认已知特征相关基因和确定可能与身体大小和高卵产相关的新型候选人,其中74.2%与已知的定量特征位点 (QTLs) 重叠.
- 八个基因 (GHR,GHRHR,IGF2BP1,OVALX,ELF2,MGARP,NOCT,SLC25A15) 的验证差异表达可能与关键特征相关.
结论:
- 确定了大量的新型遗传变异和在土著品种中进行的选择性扫描.
- 这些发现为了解基因型-表型关系以及在养计划中的实际应用提供了宝贵的资源.
- 已识别的变异和基因是进一步实验验证的有希望的候选人.
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