贝叶斯的多变量游戏模型与基因组信息相互交叉:一个两个伊比利亚品种的例子
Houssemeddine Srihi1, David López-Carbonell1, Noelia Ibáñez-Escriche2
1Facultad de Veterinaria, Instituto Agrolimentario de Aragón (IA2), Universidad de Zaragoza, 50013 Zaragoza, Spain.
Animals : an open access journal from MDPI
|May 27, 2023
概括
基因组印记影响了伊比利亚猪子的大小. 在Retinto和Entrepelado品种之间的相互交叉显示出明显的游戏相关性,解释了杂交母猪的性能差异.
科学领域:
- 动物遗传学动物遗传学
- 生殖生物学 生殖生物学
- 量化遗传学 量化遗传学
背景情况:
- 杂交伊比利亚猪品种 (Retinto和Entrepelado) 的目的是制造杂交母猪 (F1).
- 在互交交叉之间观察到的 litter 尺寸差异表明了基因组印记.
- 基因组印记影响基因表达基于父母的起源.
研究的目的:
- 调查伊比利亚猪相互交叉的基因组印记效应.
- 通过使用多变量模型,估计父和母的影响之间的游戏相关性.
- 根据遗传背景来解释混合母猪的性能变化.
主要方法:
- 开发了一个多变量游戏模型来估计相关性.
- 分析了来自互交交叉的幼大小数据 (出生总数 - TNB,活出生的数量 - NBA).
- 使用GeneSeek GPP Porcine 70 K HDchip进行基因型动物.
主要成果:
- 在Retinto和Entrepelado种群之间,游戏相关分布有显著差异.
- 雷丁托群体在游戏相关性中显示出正倾斜 (TNB为0.78,NBA为0.80).
- 鱼群体表现出一个后后概率约为0.50的积极的游戏相关性.
结论:
- 游戏相关性模式的差异解释了相互交叉的性能差异.
- 基因组印记在伊比利亚猪杂交的繁殖成功中起着至关重要的作用.
- 了解这些印记效应可以优化杂交策略,以改善生猪生产.
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