多组织奥米克分析揭示了猪复杂特征背后的转化调节
Chao Wang1,2, Yuanyuan Zhang1,2, Choulin Chen1,2
1State Key Laboratory of Genome and Multi-omics Technologies, Shenzhen 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, China.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
|February 3, 2026
概括
基因翻译中的遗传变异显著影响复杂的特征. 这项研究引入了一个新的框架来识别影响翻译效率 (TE) 的变异,揭示了与猪肉生产特征相关的33种功能变异.
科学领域:
- 基因组学就是基因组学.
- 分子生物学分子生物学
- 量化遗传学 量化遗传学
背景情况:
- 影响基因转录和翻译的遗传变异对于复杂的特征和疾病至关重要.
- 对调节转录和翻译变异的系统分析以及它们在复杂特征遗传学中的作用是有限的.
研究的目的:
- 通过整合多omics数据,开发一个新的框架来优先考虑基因调节网络 (GRNs) 基础的复杂特征.
- 识别调节基因翻译并促进表型变异的遗传变异.
主要方法:
- 在16种组织和两种猪品种中生成了一组多组数据集 (转录组,转化组,蛋白组,全基因组测序).
- 采用了转录和翻译特征,种群遗传学和双路西法酶报告员测试的综合分析.
- 利用RNA干扰测试来确认基因功能.
主要成果:
- 证明了广泛的翻译缓冲/放大以及翻译效率 (TE) 对表型变异的显著贡献.
- 通过调节14个目标基因中的TE,确定了33个与猪肉生产特征相关的功能5'UTR变异.
- 证实了AQP4和MYO18B在肌源性分化中的参与,特定变异通过RNA结构或蛋白质相互作用影响TE.
结论:
- 开发的框架有效地优先考虑GRNs,并通过翻译调节确定影响复杂特征的功能变异.
- 这种方法超越了传统的转录调节,用于揭示复杂特征的遗传基础.
- 在AQP4和MYO18B中确定了影响TE并与肌肉发育相关的特定变异.
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