综合基因组和转录基因组分析确定了影响猪体背脂厚度的新型候选基因
Qian Liu1, Jianghui Yu1, Xinjie Ai1
1Key Laboratory in Nanjing for Evaluation and Utilization of Pig Resources, Ministry of Agriculture and Rural Areas of China, Institute of Swine Science, Nanjing Agricultural University, Nanjing 210095, China; Huaian Academy, Nanjing Agricultural University, Huaian 223005, China.
研究人员使用多omics确定了影响猪背部脂肪厚度 (BFT) 的关键基因 (S100A12,XKR4,PENK). 这促进了基因选择,改善了猪的尸体瘦度和质量.
科学领域:
- 动物遗传学和基因组学
- 定量特征位置 (QTL) 分析.
- 在畜牧业的多主题整合.
背景情况:
- 尸体背脂厚度 (BFT) 对于猪的分类和定价至关重要,它反映了脂肪沉积和瘦身.
- 鉴定BFT的遗传因素对于猪遗传改进和养殖计划至关重要.
研究的目的:
- 确定与中国Suhuai猪的尸体背部脂肪厚度 (BFT) 相关的遗传基因和候选基因.
- 利用综合的多学科方法,全面了解BFT遗传学.
主要方法:
- 在418只猪中使用SNP芯片和归算全基因组测序数据 (iWGS) 进行全基因组关联研究 (GWAS).
- 贝叶斯精细映射来完善定量特征位置 (QTL) 间隔.
- 转录组分析以确定差异表达基因 (DEG) 和调节途径.
- 基因组和转录组数据的整合,随后进行转录组范围 (TWAS) 和全现象 (PheWAS) 关联研究.
主要成果:
- 在SSC2,SSC4和SSC14上确定了BFT的显著QTL,顶级SNP解释了高达9.91%的表型变异.
- 精细化QTL间隔至3kb,识别已知和两个新的QTL区域.
- 确定了322个与脂质和能量代谢相关的DEG和途径.
- 确定了三个关键候选基因 (S100A12,XKR4,PENK),与BFT和脂肪酸成分有显著的关联.
结论:
- 这项研究成功地确定了影响猪尸体BFT的新型遗传基因位点和候选基因 (S100A12,XKR4,PENK).
- 综合的多学科方法为BFT的遗传结构提供了有价值的见解.
- 这些发现提供了潜在的分子标记物,用于标记物辅助的选择,以提高猪瘦度和肉质.
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