关键词: Holstein colocalization mastitis milk production traits

Mesh : Animals Mastitis, Bovine / genetics Cattle / genetics Female Transcriptome Lactation / genetics Quantitative Trait Loci Milk / metabolism Genome-Wide Association Study / veterinary

来  源:   DOI:10.1111/age.13422

Abstract:
Genetic research for the assessment of mastitis and milk production traits simultaneously has a long history. The main issue that arises in this context is the known existence of a positive correlation between the risk of mastitis and lactation performance due to selection. The transcriptome-wide association study (TWAS) approach endeavors to combine the expression quantitative trait loci and genome-wide association study summary statistics to decode complex traits or diseases. Accordingly, we used the farmgtex project results as a complete bovine database for mastitis and milk production. The results of colocalization and TWAS approaches were used for the detection of functional associated candidate genes with milk production and mastitis traits on multiple tissue-based transcriptome records. Also, we used the david database for gene ontology to identify significant terms and associated genes. For the identification of interaction networks, the genemania and string databases were used. Also, the available z-scores in TWAS results were used for the calculation of the correlation between tissues. Therefore, the present results confirm that LYNX1, DGAT1, C14H8orf33, and LY6E were identified as significant genes associated with milk production in eight, six, five, and five tissues, respectively. Also, FBXL6 was detected as a significant gene associated with mastitis trait. CLN3 and ZNF34 genes emerged via both the colocalization and TWAS approaches as significant genes for milk production trait. It is expected that TWAS and colocalization can improve our perception of the potential health status control mechanism in high-yielding dairy cows.
摘要:
同时评价乳腺炎和产奶性状的遗传研究有着悠久的历史。在这种情况下出现的主要问题是,由于选择,乳腺炎的风险与泌乳性能之间已知存在正相关。全转录组关联研究(TWAS)方法致力于将表达数量性状基因座和全基因组关联研究汇总统计数据相结合,以解码复杂的性状或疾病。因此,我们使用fargtex项目结果作为乳腺炎和牛奶生产的完整牛数据库。共定位和TWAS方法的结果用于在多个基于组织的转录组记录上检测与产奶量和乳腺炎性状的功能相关的候选基因。此外,我们使用david数据库的基因本体论来识别重要的术语和相关基因。为了识别交互网络,使用了Genemania和字符串数据库。此外,TWAS结果中可用的z评分用于计算组织间的相关性.因此,本研究结果证实,LYNX1,DGAT1,C14H8orf33和LY6E被鉴定为8个与产奶相关的显著基因,六,五,和五个组织,分别。此外,FBXL6被检测为与乳腺炎性状相关的显著基因。CLN3和ZNF34基因通过共定位和TWAS方法作为产奶性状的重要基因出现。预计TWAS和共定位可以改善我们对高产奶牛潜在健康状况控制机制的认识。
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