Literature DB >> 28192178

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

Fátima Gomes1, Luciana Watanabe2, Sérgio Nozawa3, Layanna Oliveira4, Jedson Cardoso5, João Vianez6, Márcio Nunes7, Horacio Schneider8, Iracilda Sampaio9.   

Abstract

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.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Expression; High-throughput sequencing; Tambaqui; miRNA

Mesh:

Substances:

Year:  2017        PMID: 28192178     DOI: 10.1016/j.ygeno.2017.02.001

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  5 in total

1.  Liver-Specific microRNA Identification in Farmed Carp, Labeo bata (Hamilton, 1822), Fed with Starch Diet Using High-Throughput Sequencing.

Authors:  Kiran D Rasal; Mir Asif Iquebal; Sarika Jaiswal; Sangita Dixit; Manohar Vasam; Samiran Nandi; Mustafa Raza; Lakshman Sahoo; U B Angadi; Anil Rai; Dinesh Kumar; Jitendra Kumar Sundaray
Journal:  Mar Biotechnol (NY)       Date:  2019-07-25       Impact factor: 3.619

2.  Comparative analysis of the transcriptome of the Amazonian fish species Colossoma macropomum (tambaqui) and hybrid tambacu by next generation sequencing.

Authors:  Fátima Gomes; Luciana Watanabe; João Vianez; Márcio Nunes; Jedson Cardoso; Clayton Lima; Horacio Schneider; Iracilda Sampaio
Journal:  PLoS One       Date:  2019-02-25       Impact factor: 3.240

3.  Bioprospection of biocompounds and dietary supplements of microalgae with immunostimulating activity: a comprehensive review.

Authors:  Arialdo M Silveira Júnior; Silvia Maria M Faustino; Alan C Cunha
Journal:  PeerJ       Date:  2019-10-01       Impact factor: 2.984

4.  Integrative microRNAome analysis of skeletal muscle of Colossoma macropomum (tambaqui), Piaractus mesopotamicus (pacu), and the hybrid tambacu, based on next-generation sequencing data.

Authors:  Bruno E A Fantinatti; Erika S Perez; Bruna T T Zanella; Jéssica S Valente; Tassiana G de Paula; Edson A Mareco; Robson F Carvalho; Silvano Piazza; Michela A Denti; Maeli Dal-Pai-Silva
Journal:  BMC Genomics       Date:  2021-04-06       Impact factor: 3.969

Review 5.  Fishing Into the MicroRNA Transcriptome.

Authors:  Marcos E Herkenhoff; Arthur C Oliveira; Pedro G Nachtigall; Juliana M Costa; Vinicius F Campos; Alexandre W S Hilsdorf; Danillo Pinhal
Journal:  Front Genet       Date:  2018-03-19       Impact factor: 4.599

  5 in total

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