» Articles » PMID: 27504260

De Novo Assembly of the Blunt Snout Bream (Megalobrama Amblycephala) Gill Transcriptome to Identify Ammonia Exposure Associated MicroRNAs and Their Targets

Overview
Journal Results Immunol
Publisher Elsevier
Date 2016 Aug 10
PMID 27504260
Citations 4
Authors
Affiliations
Soon will be listed here.
Abstract

De novo transcriptome sequencing is a robust method for microRNA (miRNA) target gene prediction, especially for organisms without reference genomes. Following exposure of Megalobrama amblycephala to ammonia (0.1 or 20 mg L(-1) ), two cDNA libraries were constructed from the fish gills and sequenced using Illumina HiSeq 2000. Over 90 million reads were generated and de novo assembled into 46, 615 unigenes, which were then extensively annotated by comparing to different protein databases, followed by biochemical pathway prediction. The expression of 2666 unigenes significantly differed; 1961 were up-regulated, while 975 were down-regulated. Among these, 250 unigenes were identified as the targets for 10 conserved and 4 putative novel miRNA families by miRNA target computational prediction. We examined expression of ssa-miRNA-21 and its target genes by real-time quantitative PCR and found agreement with the sequencing data. This study demonstrates the feasibility of identifying miRNA targets by transcriptome analysis. The transcriptome assembly data represent a substantial increase in the genomic resources available for Megalobrama amblycephala and will be useful for gene expression profile analysis and miRNA functional annotation.

Citing Articles

Gill Transcriptome Sequencing and De Novo Annotation of in Response to Salinity Stress.

Sun Z, Lou F, Zhang Y, Song N Genes (Basel). 2020; 11(6).

PMID: 32521805 PMC: 7349121. DOI: 10.3390/genes11060631.


The Change of Teleost Skin Commensal Microbiota Is Associated With Skin Mucosal Transcriptomic Responses During Parasitic Infection by .

Zhang X, Ding L, Yu Y, Kong W, Yin Y, Huang Z Front Immunol. 2019; 9:2972.

PMID: 30619329 PMC: 6305302. DOI: 10.3389/fimmu.2018.02972.


Suppression of miR-26a attenuates physiological disturbances arising from exposure of Nile tilapia () to ammonia.

Zhao Y, Zhou H, Ayisi C, Wang Y, Wang J, Chen X Biol Open. 2018; 7(4).

PMID: 29615414 PMC: 5936054. DOI: 10.1242/bio.029082.


Dynamic mRNA and miRNA expression analysis in response to hypoxia and reoxygenation in the blunt snout bream (Megalobrama amblycephala).

Sun S, Xuan F, Ge X, Zhu J, Zhang W Sci Rep. 2017; 7(1):12846.

PMID: 28993687 PMC: 5634510. DOI: 10.1038/s41598-017-12537-7.

References
1.
Kanehisa M, Goto S . KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 1999; 28(1):27-30. PMC: 102409. DOI: 10.1093/nar/28.1.27. View

2.
Moseley P . Stress proteins and the immune response. Immunopharmacology. 2000; 48(3):299-302. DOI: 10.1016/s0162-3109(00)00227-7. View

3.
Livak K, Schmittgen T . Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2002; 25(4):402-8. DOI: 10.1006/meth.2001.1262. View

4.
Boeckmann B, Bairoch A, Apweiler R, Blatter M, Estreicher A, Gasteiger E . The SWISS-PROT protein knowledgebase and its supplement TrEMBL in 2003. Nucleic Acids Res. 2003; 31(1):365-70. PMC: 165542. DOI: 10.1093/nar/gkg095. View

5.
Stark A, Brennecke J, Russell R, Cohen S . Identification of Drosophila MicroRNA targets. PLoS Biol. 2003; 1(3):E60. PMC: 270017. DOI: 10.1371/journal.pbio.0000060. View