构建eRNA介导的基因调控网络,以探索猪肌肉和脂肪相关特征的遗传基础
Chao Wang1,2,3, Choulin Chen1,2,3, Bowen Lei1,2,3
1Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518124, People's Republic of China.
Genetics, selection, evolution : GSE
|April 9, 2024
概括
这项研究在猪中构建增强型RNA基因调控网络 (eGRNs),识别影响肌肉和脂肪发育的关键基因. 这些发现为复杂的特征遗传学提供了洞察力,并为eRNA研究提供了一种新方法.
科学领域:
- 基因组学就是基因组学.
- 分子生物学分子生物学
- 系统生物学 系统生物学
背景情况:
- 增强型RNAs (eRNAs) 对转录调节至关重要.
- 了解 eRNA 中介基因调节网络 (eGRNs) 和它们在复杂特征中的作用仍然有限.
研究的目的:
- 使用两个猪品种的多组织数据构建eGRNs.
- 识别影响脂肪细胞分化和经济猪特征的新型基因.
主要方法:
- 使用了H3K27ac基因组ChIP-seq和RNA-seq数据用于eRNA分析.
- 开发了一种集成网络构建方法,将RNA-seq,ChIP-seq,GWAS和STARR-seq数据结合起来.
- 采用猪模型进行全面分析.
主要成果:
- 揭示了eRNAs的组织特异性监管格局.
- 解开的eGRN显著影响肌肉和脂肪的生长和发育.
- 在细胞系模型中确定了影响脂肪细胞分化的新型基因.
结论:
- 提供了对经济猪特征遗传基础的新见解.
- 建立了一个可通用的方法来研究跨物种复杂特征的eRNA介导的转录调节.
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