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在约克郡猪种群中,对背部脂肪厚度的全基因组广泛关联和整合性分析

Junliang Wang¹, Xiaodian Cai¹, Zhanming Zhong¹

¹State Key Laboratory of Swine and Poultry Breeding Industry, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Lab of Agro-Animal Genomics and Molecular Breeding, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.

Journal of animal science

|March 6, 2026

概括

这项研究使用全基因组关联研究确定了猪背部脂肪厚度的新型遗传标记. 这些发现增强了对牲畜复杂特征的精确育种策略.

科学领域:

动物遗传学动物遗传学
量化遗传学量化遗传学
基因组预测基因组预测

背景情况:

对猪的复杂特征进行有效的基因改进对于畜牧业的生产力至关重要.
了解背部脂肪厚度等特征的遗传结构需要大量的分子标记数据.

研究的目的:

确定与约克郡猪100公斤 (BFT_100) 的平均背部脂肪厚度相关的显著遗传变异和候选基因.
整合全基因组关联研究 (GWAS) 与全转录组关联研究 (TWAS) 和同源化分析,以增强功能洞察力.
发现BFT_100的新型候选基因,这些基因之前没有在现有数据库中报告过.

主要方法:

全基因组关联研究 (GWAS) 和4144头约克郡猪的条件分析,使用1040万个归算序列变异.
对于100公斤的平均背部脂肪厚度 (BFT_100) 的表型数据收集.
与猪基因型-组织表达 (PigGTEx) 资源的整合,用于全转录组关联研究 (TWAS) 和同源化分析.

主要成果:

确定了11个独立显著的变异,并为BFT_100.优先考虑了17个候选基因.
通过整合性分析揭示了27个TWAS显著基因和13个局部基因.
发现NFIA,FCN1和DBH作为猪背部脂肪厚度的新型候选基因.

结论:

与传统的GWAS相比,整合性基因组策略显著提高了复杂特征的功能信号的识别.
鉴定的变异和候选基因为剖析猪BFT_100.的遗传结构提供了宝贵的资源.
这些发现提供了潜在的分子标记,用于推进猪精密育种计划.

关键词:

在GWAS中,GWAS就是GWAS.猪GTEx资源猪GTEx资源猪GTEx资源在TWAS中,TWAS就是TWAS.背部脂肪厚度背部脂肪厚度定位化,定位化的地方.猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪猪

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