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Identification of Genomic Regions Associated with Concentrations of Milk Fat Protein Urea and Efficiency of Crude Protein Utilization in Grazing Dairy Cows

机译:鉴定乳脂浓度蛋白质尿素和粗蛋白利用效率相关的基因组区域

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摘要

The objective of this study was to identify genomic regions associated with milk fat percentage (FP), crude protein percentage (CPP), urea concentration (MU) and efficiency of crude protein utilization (ECPU: ratio between crude protein yield in milk and dietary crude protein intake) using grazing, mixed-breed, dairy cows in New Zealand. Phenotypes from 634 Holstein Friesian, Jersey or crossbred cows were obtained from two herds at Massey University. A subset of 490 of these cows was genotyped using Bovine Illumina 50K SNP-chips. Two genome-wise association approaches were used, a single-locus model fitted to data from 490 cows and a single-step Bayes C model fitted to data from all 634 cows. The single-locus analysis was performed with the Efficient Mixed-Model Association eXpedited model as implemented in the SVS package. Single nucleotide polymorphisms (SNPs) with genome-wide association p-values ≤ 1.11 × 10−6 were considered as putative quantitative trait loci (QTL). The Bayes C analysis was performed with the JWAS package and 1-Mb genomic windows containing SNPs that explained > 0.37% of the genetic variance were considered as putative QTL. Candidate genes within 100 kb from the identified SNPs in single-locus GWAS or the 1-Mb windows were identified using gene ontology, as implemented in the Ensembl Genome Browser. The genes detected in association with FP (MGST1, DGAT1, CEBPD, SLC52A2, GPAT4, and ACOX3) and CPP (DGAT1, CSN1S1, GOSR2, HERC6, and IGF1R) were identified as candidates. Gene ontology revealed six novel candidate genes (GMDS, E2F7, SIAH1, SLC24A4, LGMN, and ASS1) significantly associated with MU whose functions were in protein catabolism, urea cycle, ion transportation and N excretion. One novel candidate gene was identified in association with ECPU (MAP3K1) that is involved in post-transcriptional modification of proteins. The findings should be validated using a larger population of New Zealand grazing dairy cows.
机译:本研究的目的是鉴定与乳脂百分比(FP),粗蛋白质百分比(CPP),尿素浓度(MU),粗蛋白质利用效率相关的基因组区域(ECPU:牛奶中粗蛋白质产量之间的粗蛋白质产量之间的效率蛋白质摄入量)在新西兰使用吃草,混合品种,乳制品奶牛。从梅西大学的两只畜群中获得了634辆霍尔斯坦弗里斯,泽西或杂交奶牛的表型。使用牛Illumina 50K SnP-Chpips的基因分型490的490个子。使用了两种基因组 - 明智的关联方法,单个基因座模型适用于490奶牛的数据和适用于所有634母牛的数据的单步贝叶斯C模型。使用SVS包装中实现的有效混合模型协会加急模型进行单对轨道分析。具有基因组关联P值的单核苷酸多态性(SNP)≤111×10-6被认为是推定的定量性状基因座(QTL)。贝叶斯C分析用JWAS包和1-MB基因组窗口进行,其中SNPS解释> 0.37%的遗传方差被认为是推定的QTL。从Ensembl基因组浏览器中实施的基因属性,从鉴定的SNP中鉴定了100kb内鉴定的SNP中的候选基因或1-MB窗口。将与FP(MgST1,DGAT1,CeBPD,SLC52A2,GPAT4和ACOX3)和CPP(DGAT1,CSN1S1,GOSR 2,HERC6和IGF1R)相关联的基因被鉴定为候选者。基因本体显示六种新型候选基因(GMDS,E2F7,SIAH1,SIAH1,LGMN和ASS1)显着与穆蛋白分解代谢,尿素循环,离子运输和N排泄物有显着相关的um。与ECPU(MAP3K1)结合鉴定了一种新的候选基因,该基因涉及蛋白质的转录后改性。应使用更大的新西兰放牧奶牛验证调查结果。

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