钝口鲷(Megalobrama amblycephala)鳃转录组的从头组装以鉴定氨暴露相关的microrna及其靶标

Shengming Sun , Xianping Ge , Jian Zhu , Wuxiao Zhang , Fujun Xuan
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引用次数: 11

摘要

从头转录组测序是microRNA (miRNA)靶基因预测的可靠方法,特别是对于没有参考基因组的生物体。在氨水(0.1或20 mg L−1)中暴露后,从鱼鳃中构建两个cDNA文库,并使用Illumina HiSeq 2000进行测序。生成了超过9000万个reads,并重新组装成46,615个unigenes,然后通过比较不同的蛋白质数据库对其进行广泛的注释,然后进行生化途径预测。2666个单基因的表达差异显著;1961个被上调,975个被下调。其中,通过miRNA靶标计算预测,鉴定出10个保守miRNA家族和4个推测的新型miRNA家族的靶标为250个单基因。我们通过实时定量PCR检测了ssa-miRNA-21及其靶基因的表达,发现与测序数据一致。本研究证明了通过转录组分析鉴定miRNA靶点的可行性。转录组组装数据代表了可用于双头巨鲷的基因组资源的大幅增加,将有助于基因表达谱分析和miRNA功能注释。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

De novo assembly of the blunt snout bream (Megalobrama amblycephala) gill transcriptome to identify ammonia exposure associated microRNAs and their targets

De novo assembly of the blunt snout bream (Megalobrama amblycephala) gill transcriptome to identify ammonia exposure associated microRNAs and their targets

De novo assembly of the blunt snout bream (Megalobrama amblycephala) gill transcriptome to identify ammonia exposure associated microRNAs and their targets

De novo assembly of the blunt snout bream (Megalobrama amblycephala) gill transcriptome to identify ammonia exposure associated microRNAs and their targets

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.

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