首页> 美国卫生研究院文献>Scientific Reports >Integration of GWAS pathway and network analyses reveals novel mechanistic insights into the synthesis of milk proteins in dairy cows
【2h】

Integration of GWAS pathway and network analyses reveals novel mechanistic insights into the synthesis of milk proteins in dairy cows

机译:GWAS途径和网络分析的整合揭示了对奶牛合成乳蛋白的新机制

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

The quantities and proportions of protein fractions have notable effects on the nutritional and technological value of milk. Although much is known about the effects of genetic variants on milk proteins, the complex relationships among the set of genes and pathways regulating the different protein fractions synthesis and secretion into milk in dairy cows are still not completely understood. We conducted genome-wide association studies (GWAS) for milk nitrogen fractions in a cohort of 1,011 Brown Swiss cows, which uncovered 170 significant single nucleotide polymorphism (SNPs), mostly located on BTA6 and BTA11. Gene-set analysis and the network-based Associated Weight Matrix approach revealed that the milk proteins associated genes were involved in several biological functions, particularly ion and cation transmembrane transporter activity and neuronal and hormone signalling, according to the structure and function of casein micelles. Deeper analysis of the transcription factors and their predicted target genes within the network revealed that GFI1B, ZNF407 and NR5A1 might act as master regulators of milk protein synthesis and secretion. The information acquired provides novel insight into the regulatory mechanisms controlling milk protein synthesis and secretion in bovine mammary gland and may be useful in breeding programmes aimed at improving milk nutritional and/or technological properties.
机译:蛋白质级分的数量和比例对牛奶的营养和技术价值具有显着影响。尽管人们对遗传变异对乳蛋白的影响知之甚少,但调节乳蛋白的基因组和调节不同蛋白组分合成和分泌到乳汁中的途径之间的复杂关系仍未完全了解。我们对1,011头棕色瑞士奶牛队列中的牛奶氮含量进行了全基因组关联研究(GWAS),发现了170个重要的单核苷酸多态性(SNP),主要位于BTA6和BTA11上。基因组分析和基于网络的关联体重矩阵方法表明,根据酪蛋白胶束的结构和功能,牛奶蛋白相关基因参与了几种生物学功能,特别是离子和阳离子跨膜转运蛋白的活性以及神经元和激素的信号传导。对网络中转录因子及其预测的目标基因的更深入分析显示,GFI1B,ZNF407和NR5A1可能是乳蛋白合成和分泌的主要调节剂。所获得的信息为控制牛乳腺中乳蛋白合成和分泌的调控机制提供了新颖的见识,并且可用于旨在改善乳汁营养和/或技术特性的育种计划。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号