College of Animal Science and Technology, Northwest A&F University, Shaanxi Key Laboratory of Molecular Biology for Agriculture, Yangling, Shaanxi, People's Republic of China.
PLoS One. 2013 Jun 7;8(6):e64356. doi: 10.1371/journal.pone.0064356. Print 2013.
Beef cattle are among the most economically important animals in the world because they are farmed for their meat and leather. However, a lack of genetic information remains an obstacle to understanding the mechanisms behind the development of this animal. Analysis of the beef cattle transcriptome and its expression profile data are essential to extending the genetic information resources for this species and would support studies on this animal.
RNA sequencing of beef cattle was performed using the Illumina High-Seq2000 platform. A total of 25,605,140 and 26,214,800 reads were sequenced for embryonic and adult pooled samples, respectively. We identified 24,464-29,994 novel transcript units in two pooled samples. In addition, 8,533-10,144 genes showed evidence of alternative splicing, in agreement with the finding that alternative 3' splicing is the most common type of alternative splicing event in cattle. We detected the expression levels of 16,174 genes, and 6,800 genes exhibited differential expression between the two pooled samples with a false discovery rate ≤0.001. Using GO enrichment and KEGG pathway analysis, multiple GO term and biological pathways were found to be significantly enriched for differentially expressed genes. In addition, we discovered that 30,618-31,334 putative single nucleotide polymorphisms were located in coding regions.
We obtained a high-quality beef cattle reference transcriptome using a high throughput sequencing approach, thereby providing a valuable resource for better understanding the beef cattle genome. The transcriptome data will facilitate future functional studies on the beef cattle genome and can be applied to breeding programs for cattle and closely related mammals.
牛是世界上最重要的经济动物之一,因为它们被养殖以获取肉和皮革。然而,缺乏遗传信息仍然是理解这种动物发育机制的障碍。分析牛的转录组及其表达谱数据对于扩展该物种的遗传信息资源非常重要,并将支持对该动物的研究。
使用 Illumina High-Seq2000 平台对牛进行了 RNA 测序。分别对胚胎和成年混合样本进行了 25605140 和 26214800 次测序。我们在两个混合样本中分别鉴定出 24464-29994 个新的转录单元。此外,8533-10144 个基因显示出选择性剪接的证据,这与牛中选择性 3' 剪接是最常见的选择性剪接事件的发现一致。我们检测到 16174 个基因的表达水平,6800 个基因在两个混合样本之间表现出差异表达,假发现率≤0.001。通过 GO 富集和 KEGG 途径分析,多个 GO 术语和生物途径被发现对差异表达基因显著富集。此外,我们发现 30618-31334 个可能的单核苷酸多态性位于编码区。
我们使用高通量测序方法获得了高质量的牛参考转录组,从而为更好地理解牛基因组提供了有价值的资源。该转录组数据将有助于未来对牛基因组的功能研究,并可应用于牛和相关哺乳动物的育种计划。