当前位置:主页 > 医学论文 > 畜牧兽医论文 >

基于通路分析方法诠释肉鸡体重性状全基因组关联研究

发布时间:2018-05-01 05:33

  本文选题:SRT + 通路 ; 参考:《畜牧兽医学报》2017年05期


【摘要】:本研究旨在通过对体重和日增重进行基于通路的关联分析,以期获得影响体重和日增重的信号通路。对北京油鸡与科宝肉鸡F2资源群体14、28、56、93日龄体重及0~14、14~28、28~56、56~93日龄日增重分别进行全基因组关联分析,利用关联分析获得的显著性SNP位点进行基于通路的关联分析(SNP ratio test)。结果表明,14日龄体重与类固醇激素的生物合成相关联(P0.05),56日龄体重与烟酸/烟酰胺的代谢相关联(P0.05),93日龄体重与糖酵解/糖异生相关(P0.05),且各日龄体重性状均与氨基酸的代谢过程相关联(P0.05)。在增重最快的42~56日龄,与日增重相关的SNP富集到的通路最多,这些通路主要集中在TCA循环、类固醇合成、类固醇激素的生物合成、氧化磷酸化、磷酸肌醇代谢、甘油磷脂代谢等过程。在肉鸡体重迅速增长阶段类固醇激素的生物合成起到了重要作用,且氨基酸代谢过程与日增重显著相关。
[Abstract]:The purpose of this study was to obtain signaling pathways that affect body weight and daily gain by analyzing the correlation between body weight and daily gain. The whole genome association analysis was carried out on the F _ 2 resource population of Beijing fowl and Kebao broiler F _ 2 resource population, and the daily gain at day 1414, 1428, 2856, 5693, respectively. The significant SNP loci obtained by association analysis were used to analyze the path-based association analysis of SNPs ratio. The results showed that the body weight at 14 days old was associated with the biosynthesis of steroid hormones, and the body weight at 56 days of age was associated with the metabolism of nicotinic acid / nicotinamide. The metabolic process is associated with P0.05. At the age of 42 ~ 56 days, the highest concentration of SNP related to daily gain was found in the TCA cycle, steroid synthesis, steroid hormone biosynthesis, oxidative phosphorylation, and inositol phosphate metabolism. Glycerol and phospholipid metabolism. The biosynthesis of steroid hormones played an important role in the rapid growth of body weight of broilers, and the amino acid metabolism process was significantly related to daily gain.
【作者单位】: 中国农业科学院北京畜牧兽医研究所;动物营养学国家重点实验室;
【基金】:国家现代农业肉鸡产业技术体系(CARS-42) 中国农业科学院科技创新工程(ASTIP-IAS04)
【分类号】:S831


本文编号:1827975

资料下载
论文发表

本文链接:https://www.wllwen.com/yixuelunwen/dongwuyixue/1827975.html


Copyright(c)文论论文网All Rights Reserved | 网站地图 |

版权申明:资料由用户4522a***提供,本站仅收录摘要或目录,作者需要删除请E-mail邮箱bigeng88@qq.com