鉴定与中国文山禁生长曲线参数相关的定量特征位点和候选基因
Yan Zhou1, Jie Liu1, Qiuxia Lei1
1Poultry Institute, Shandong Academy of Agricultural Sciences, Jinan 250023, Shandong, China; Jinan Key Laboratory of Poultry Germplasm Resources Innovation and Healthy Breeding, Jinan 250023, Shandong, China; Shandong Provincial Key Laboratory of Livestock and Poultry Breeding (PKL2024B15), Jinan 250023, Shandong, China.
Poultry science
|January 8, 2025
概括
这项研究使用全基因组关联研究 (GWAS) 确定了与中国温山禁的生长曲线参数相关的显著单核酸多态 (SNPs) 和候选基因. 这些发现促进了对家禽生长特征遗传结构的理解.
科学领域:
- 动物遗传学动物遗传学
- 量化遗传学 量化遗传学
- 基因组学就是基因组学.
背景情况:
- 增长曲线对于畜牧业和家禽发展至关重要,指导繁殖和生产战略.
- 了解生长特征的遗传基础对于改善动物农业至关重要.
研究的目的:
- 进行一个全基因组关联研究 (GWAS) 增长曲线参数在中国的温山禁.
- 识别与生长特征相关的单核酸多态 (SNP) 和候选基因.
- 使用非线性模型分析增长曲线参数.
主要方法:
- 将Gompertz,Logistic和von Bertalanffy的生长模型与362只的体重年龄数据相匹配.
- 在成熟的体重 (A),时间尺度 (b) 和成熟率 (K) 上执行单特征GWAS.
- 确定与生长曲线参数相关的显著SNP和候选基因.
主要成果:
- 戈珀茨模型为增长数据提供了最合适的方法 (R2 = 0.974).
- GWAS分别确定了44个,103个和5个与A,b和K相关的显著SNP.
- 发现包括LDB2,TOB2和LCORL在内的候选基因与生长特征有关,其中LDB2上的两个主要SNP显示出显著的关联.
结论:
- 该研究成功地确定了在中影响生长曲线参数的遗传标记物和候选基因.
- 这些发现有助于了解家禽生长和发育的遗传结构.
- 对这些候选基因的进一步调查可以帮助开发有针对性的育种计划,以提高家禽生产.
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