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

• Autor(a) principal: Gomes, Fátima
• Data de Publicação: 2017
• Outros Autores: Watanabe, Luciana, Nozawa, Sérgio, Oliveira, Layanna, Cardoso, Jedson Ferreira, Vianez Júnior, João Lídio da Silva Gonçalves, Nunes, Márcio Roberto Teixeira, Schneider, Horacio, Sampaio, Iracilda
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Digital do Instituto Evandro Chagas (Patuá)
• Texto Completo: http://patua.iec.gov.br//handle/iec/3841
• topic: Peixes / anatomia & histologia; Caraciformes / genética; Caraciformes / metabolismo; MicroRNAs / genética; Fígado / metabolismo; Pele / metabolismo; Transcriptoma; Expressão Gênica; Análise de Sequência de RNA; Sequenciamento de Nucleotídeos em Larga Escala; Biologia Computacional; Ecossistema Amazônico (BR)

Colossoma macropomum is a resistant species native of Amazonas and Orinoco river basins. It is regarded as the second largest finfish of Solimões 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.