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对荷斯坦奶牛的拷贝数变异进行分析,确定导致剩余采食量差异的潜在机制。

Analysis of copy number variations in Holstein cows identify potential mechanisms contributing to differences in residual feed intake.

机构信息

Bovine Functional Genomics Laboratory, ANRI, USDA-ARS, Beltsville, MD 20705, USA.

出版信息

Funct Integr Genomics. 2012 Nov;12(4):717-23. doi: 10.1007/s10142-012-0295-y. Epub 2012 Sep 19.

Abstract

Genomic structural variation is an important and abundant source of genetic and phenotypic variation. In this study, we performed an initial analysis of copy number variations (CNVs) using BovineHD SNP genotyping data from 147 Holstein cows identified as having high or low feed efficiency as estimated by residual feed intake (RFI). We detected 443 candidate CNV regions (CNVRs) that represent 18.4 Mb (0.6 %) of the genome. To investigate the functional impacts of CNVs, we created two groups of 30 individual animals with extremely low or high estimated breeding values (EBVs) for RFI, and referred to these groups as low intake (LI; more efficient) or high intake (HI; less efficient), respectively. We identified 240 (9.0 Mb) and 274 (10.2 Mb) CNVRs from LI and HI groups, respectively. Approximately 30-40 % of the CNVRs were specific to the LI group or HI group of animals. The 240 LI CNVRs overlapped with 137 Ensembl genes. Network analyses indicated that the LI-specific genes were predominantly enriched for those functioning in the inflammatory response and immunity. By contrast, the 274 HI CNVRs contained 177 Ensembl genes. Network analyses indicated that the HI-specific genes were particularly involved in the cell cycle, and organ and bone development. These results relate CNVs to two key variables, namely immune response and organ and bone development. The data indicate that greater feed efficiency relates more closely to immune response, whereas cattle with reduced feed efficiency may have a greater capacity for organ and bone development.

摘要

基因组结构变异是遗传和表型变异的重要且丰富的来源。在这项研究中,我们使用来自 147 头荷斯坦奶牛的 BovineHD SNP 基因分型数据,对这些奶牛的饲料效率进行了初步分析,这些奶牛的饲料效率是根据残留饲料摄入量(RFI)估计的。我们检测到 443 个候选拷贝数变异(CNV)区域(CNVRs),代表基因组的 18.4Mb(0.6%)。为了研究 CNV 的功能影响,我们创建了两组 30 头个体动物,它们的 RFI 估计育种值(EBV)极低或极高,分别称为低摄入量(LI;效率更高)或高摄入量(HI;效率更低)。我们分别从 LI 和 HI 组中鉴定出 240(9.0Mb)和 274(10.2Mb)个 CNVR。大约 30-40%的 CNVR 是 LI 组或 HI 组动物特有的。240 个 LI CNVR 与 137 个 Ensembl 基因重叠。网络分析表明,LI 特异性基因主要富集在炎症反应和免疫功能方面。相比之下,274 个 HI CNVR 包含 177 个 Ensembl 基因。网络分析表明,HI 特异性基因特别参与细胞周期、器官和骨骼发育。这些结果将 CNV 与两个关键变量联系起来,即免疫反应和器官及骨骼发育。这些数据表明,较高的饲料效率与免疫反应更为密切相关,而饲料效率较低的牛可能具有更大的器官和骨骼发育能力。

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