De novo assembly of the sea cucumber Apostichopus japonicus hemocytes transcriptome to identify miRNA targets associated with skin ulceration syndrome.

BACKGROUND: De novo transcriptome sequencing is a robust method of predicting miRNA target genes, especially samples without reference genomes. Differentially expressed miRNAs have been previously identified in hemocytes collected from healthy skin and from skin affected by skin ulceration syndrome...

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Main Authors: Pengjuan Zhang, Chenghua Li, Lin Zhu, Xiurong Su, Ye Li, Chunhua Jin, Taiwu Li
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3772007?pdf=render
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spelling doaj-ece692b8d1bb4ffba6b195afbe163b8a2020-11-25T02:31:30ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-0189e7350610.1371/journal.pone.0073506De novo assembly of the sea cucumber Apostichopus japonicus hemocytes transcriptome to identify miRNA targets associated with skin ulceration syndrome.Pengjuan ZhangChenghua LiLin ZhuXiurong SuYe LiChunhua JinTaiwu LiBACKGROUND: De novo transcriptome sequencing is a robust method of predicting miRNA target genes, especially samples without reference genomes. Differentially expressed miRNAs have been previously identified in hemocytes collected from healthy skin and from skin affected by skin ulceration syndrome (SUS) in Apostichopusjaponicus. Target identification for these differentially expressed miRNAs is a major challenge for this non-model organism. METHODOLOGY/PRINCIPAL FINDINGS: To thoroughly understand the function of miRNAs, a normalized cDNA library was sequenced with the Illumina Hiseq2000 technology. A total of 91,098,474 clean reads corresponding to 251,148 unigenes, each with an average length of 494bp, were obtained. Blastx analysis against a nonredundant (nr) NCBI protein database revealed that in this set, 52,680 unigenes coded for 3,893 annotated proteins. Two digital gene expression (DGE) libraries from healthy and SUS samples showed that 4,858 of the unigenes were expressed at significantly different levels; 2,163 were significantly up-regulated, while 2,695 were significantly down-regulated. The computational prediction of miRNA targets from these differentially expressed genes identified 732 unigenes as the targets of 57 conserved and 8 putative novel miRNA families, including spu-miRNA-31 and spu-miRNA-2008. CONCLUSION: This study demonstrates the feasibility of identifying miRNA targets by transcriptome analysis. The DGE assembly data represent a substantial increase in the genomic resources available for this species and will provide insights into the gene expression profile analysis and the miRNAs function annotations of further studies.http://europepmc.org/articles/PMC3772007?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Pengjuan Zhang
Chenghua Li
Lin Zhu
Xiurong Su
Ye Li
Chunhua Jin
Taiwu Li
spellingShingle Pengjuan Zhang
Chenghua Li
Lin Zhu
Xiurong Su
Ye Li
Chunhua Jin
Taiwu Li
De novo assembly of the sea cucumber Apostichopus japonicus hemocytes transcriptome to identify miRNA targets associated with skin ulceration syndrome.
PLoS ONE
author_facet Pengjuan Zhang
Chenghua Li
Lin Zhu
Xiurong Su
Ye Li
Chunhua Jin
Taiwu Li
author_sort Pengjuan Zhang
title De novo assembly of the sea cucumber Apostichopus japonicus hemocytes transcriptome to identify miRNA targets associated with skin ulceration syndrome.
title_short De novo assembly of the sea cucumber Apostichopus japonicus hemocytes transcriptome to identify miRNA targets associated with skin ulceration syndrome.
title_full De novo assembly of the sea cucumber Apostichopus japonicus hemocytes transcriptome to identify miRNA targets associated with skin ulceration syndrome.
title_fullStr De novo assembly of the sea cucumber Apostichopus japonicus hemocytes transcriptome to identify miRNA targets associated with skin ulceration syndrome.
title_full_unstemmed De novo assembly of the sea cucumber Apostichopus japonicus hemocytes transcriptome to identify miRNA targets associated with skin ulceration syndrome.
title_sort de novo assembly of the sea cucumber apostichopus japonicus hemocytes transcriptome to identify mirna targets associated with skin ulceration syndrome.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description BACKGROUND: De novo transcriptome sequencing is a robust method of predicting miRNA target genes, especially samples without reference genomes. Differentially expressed miRNAs have been previously identified in hemocytes collected from healthy skin and from skin affected by skin ulceration syndrome (SUS) in Apostichopusjaponicus. Target identification for these differentially expressed miRNAs is a major challenge for this non-model organism. METHODOLOGY/PRINCIPAL FINDINGS: To thoroughly understand the function of miRNAs, a normalized cDNA library was sequenced with the Illumina Hiseq2000 technology. A total of 91,098,474 clean reads corresponding to 251,148 unigenes, each with an average length of 494bp, were obtained. Blastx analysis against a nonredundant (nr) NCBI protein database revealed that in this set, 52,680 unigenes coded for 3,893 annotated proteins. Two digital gene expression (DGE) libraries from healthy and SUS samples showed that 4,858 of the unigenes were expressed at significantly different levels; 2,163 were significantly up-regulated, while 2,695 were significantly down-regulated. The computational prediction of miRNA targets from these differentially expressed genes identified 732 unigenes as the targets of 57 conserved and 8 putative novel miRNA families, including spu-miRNA-31 and spu-miRNA-2008. CONCLUSION: This study demonstrates the feasibility of identifying miRNA targets by transcriptome analysis. The DGE assembly data represent a substantial increase in the genomic resources available for this species and will provide insights into the gene expression profile analysis and the miRNAs function annotations of further studies.
url http://europepmc.org/articles/PMC3772007?pdf=render
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