4.7 Article

Identification and characterization of the expression profile of the microRNAs in the Amazon species Colossoma macropomum by next generation sequencing

期刊

GENOMICS
卷 109, 期 2, 页码 67-74

出版社

ACADEMIC PRESS INC ELSEVIER SCIENCE
DOI: 10.1016/j.ygeno.2017.02.001

关键词

Tambaqui; miRNA; Expression; High-throughput sequencing

资金

  1. National Council for Scientific and Technological Development (CNPq) [550939/2010-5]

向作者/读者索取更多资源

Colossoma macropomum is a resistant species native of Amazonas and Orinoco river basins. It is regarded as the second largest finfish of Solimoes and Amazon rivers, representing a major fishery resource in Amazonas and an important species in tropical aquaculture. MicroRNAs are non-coding endogenous riboregulators of nearly 22 nucleotides that play a key role in post-transcriptional gene regulation of several organisms. We analyzed samples of liver and skin from specimens of C. macropomum using next generation sequencing. The dataset was evaluated using computational programs to check the quality of sequences, identification of miRNAs, as well as to evaluate the expression levels of these microRNAs and interaction of target genes. We identified 279 conserved miRNAs, being 257 from liver and 272 from skin, with several miRNAs shared between tissues, with divergence in the number of reads. The strands miR-5p and miR-3p were observed in 72 miRNAs, some of them presenting a higher number of 3p reads. The functional annotation of the most expressed miRNAs resulted in 27 pathways for the liver and skin mainly related to the biological processes domain. Based on the identified pathways, we visualized a large gene network, suggesting the regulation of selected miRNA over this interactive dataset. We were able to identify and characterize the expression levels of miRNAs in two tissues of great activity in C. macropomum, which stands out as the beginning of several studies that can be carried out to elucidate the influence of miRNAs in this species and their applicability as biotechnological tools. (C) 2017 Elsevier Inc. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据