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A high resolution atlas of gene expression in the domestic sheep (Ovis aries)

机译:家养绵羊(绵羊白羊)基因表达的高分辨率图集

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摘要

Sheep are a key source of meat, milk and fibre for the global livestock sector, and an important biomedical model. Global analysis of gene expression across multiple tissues has aided genome annotation and supported functional annotation of mammalian genes. We present a large-scale RNA-Seq dataset representing all the major organ systems from adult sheep and from several juvenile, neonatal and prenatal developmental time points. The Ovis aries reference genome (Oar v3.1) includes 27,504 genes (20,921 protein coding), of which 25,350 (19,921 protein coding) had detectable expression in at least one tissue in the sheep gene expression atlas dataset. Network-based cluster analysis of this dataset grouped genes according to their expression pattern. The principle of ‘guilt by association’ was used to infer the function of uncharacterised genes from their co-expression with genes of known function. We describe the overall transcriptional signatures present in the sheep gene expression atlas and assign those signatures, where possible, to specific cell populations or pathways. The findings are related to innate immunity by focusing on clusters with an immune signature, and to the advantages of cross-breeding by examining the patterns of genes exhibiting the greatest expression differences between purebred and crossbred animals. This high-resolution gene expression atlas for sheep is, to our knowledge, the largest transcriptomic dataset from any livestock species to date. It provides a resource to improve the annotation of the current reference genome for sheep, presenting a model transcriptome for ruminants and insight into gene, cell and tissue function at multiple developmental stages.
机译:绵羊是全球畜牧业的主要肉,奶和纤维来源,也是重要的生物医学模型。对跨多个组织的基因表达进行全局分析有助于哺乳动物基因组注释和功能注释。我们提供了一个大规模的RNA-Seq数据集,代表了成年绵羊以及几个少年,新生儿和产前发育时间点的所有主要器官系统。 Ovis aries参考基因组(Oar v3.1)包含27,504个基因(20,921个蛋白质编码),其中25,350个基因(19,921个蛋白质编码)在绵羊基因表达图谱数据集中的至少一个组织中具有可检测的表达。该数据集的基于网络的聚类分析根据基因的表达模式对基因进行了分组。 “关联有罪”的原理被用来从未表征基因与已知功能基因的共表达中推断其功能。我们描述了绵羊基因表达图谱中存在的总体转录标记,并在可能的情况下将这些标记分配给特定的细胞群体或途径。这些发现与通过关注具有免疫特征的簇有关的先天免疫有关,并通过检查在纯种和杂种动物之间表现出最大表达差异的基因的模式与杂交的优势有关。据我们所知,这种高分辨率的绵羊基因表达图谱是迄今为止任何牲畜物种中最大的转录组数据库。它提供了改进绵羊当前参考基因组注释的资源,提供了反刍动物的模型转录组以及对多个发育阶段的基因,细胞和组织功能的了解。

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