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单变体全基因组关联研究和大白猪蛋白质效率和性能特征的区域遗传性映射

Esther Oluwada Ewaoluwagbemiga^1,2, Audald Lloret-Villas², Adéla Nosková²

¹Agroscope, Animal GenoPhenomics, Tioleyre 4, 1725, Posieux, Switzerland.

Genetics, selection, evolution : GSE

|August 15, 2025

概括

提高猪的蛋白质效率 (PE) 对可持续性至关重要. 这项研究使用基因组分析来确定与PE和生产特征相关的区域,突出了参与新陈代谢和营养感应的候选基因.

科学领域:

动物遗传学动物遗传学
量化遗传学量化遗传学
基因组选择基因组选择

背景情况:

蛋白质效率 (PE) 对于可持续的生猪生产至关重要,减少环境污染.
PE是遗传的,并且与料转化率 (FCR) 和平均每日料摄入量 (ADFI) 有遗传联系.

研究的目的:

确定与猪蛋白效率 (PE) 和相关生产特征相关的基因组区域.
使用全基因组关联研究 (GWAS) 和区域遗传性映射 (RHM) 来进行特征剖析.

主要方法:

在1000多只瑞士大白猪中使用低通全基因组测序.
进行单变异GWAS和RHM分析以检测遗传关联.
结合了GWAS和RHM的领先信号,以精确确定候选基因.

主要成果:

对于PE和相关特征的基因组遗传率在0.33到0.47.之间.
GWAS和RHM确定了平均每日料摄入量 (ADFI) 和平均每日取 (ADG) 的暗示性关联.
通过整合GWAS和RHM信号,突出显示PE候选基因,包括PHYKPL,COL23A1和嗅觉受体基因.

结论:

结合GWAS和RHM方法,成功地确定了影响PE和生产特征的基因组区域.
确定了参与营养感应,尿素循环和代谢途径的可信候选基因.
需要对非编码RNA及其在这些特征中的调控作用进行进一步的研究.

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