Genome-wide identification of Schistosoma japonicum microRNAs using a deep-sequencing approach.

<h4>Background</h4>Human schistosomiasis is one of the most prevalent and serious parasitic diseases worldwide. Schistosoma japonicum is one of important pathogens of this disease. MicroRNAs (miRNAs) are a large group of non-coding RNAs that play important roles in regulating gene expres...

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Main Authors: Jian Huang, Pei Hao, Hui Chen, Wei Hu, Qing Yan, Feng Liu, Ze-Guang Han
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2009-12-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19997615/pdf/?tool=EBI
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spelling doaj-b0ca373a5c9c42c7824bca825761f4da2021-03-03T22:32:36ZengPublic Library of Science (PLoS)PLoS ONE1932-62032009-12-01412e820610.1371/journal.pone.0008206Genome-wide identification of Schistosoma japonicum microRNAs using a deep-sequencing approach.Jian HuangPei HaoHui ChenWei HuQing YanFeng LiuZe-Guang Han<h4>Background</h4>Human schistosomiasis is one of the most prevalent and serious parasitic diseases worldwide. Schistosoma japonicum is one of important pathogens of this disease. MicroRNAs (miRNAs) are a large group of non-coding RNAs that play important roles in regulating gene expression and protein translation in animals. Genome-wide identification of miRNAs in a given organism is a critical step to facilitating our understanding of genome organization, genome biology, evolution, and posttranscriptional regulation.<h4>Methodology/principal findings</h4>We sequenced two small RNA libraries prepared from different stages of the life cycle of S. japonicum, immature schistosomula and mature pairing adults, through a deep DNA sequencing approach, which yielded approximately 12 million high-quality short sequence reads containing a total of approximately 2 million non-redundant tags. Based on a bioinformatics pipeline, we identified 176 new S. japonicum miRNAs, of which some exhibited a differential pattern of expression between the two stages. Although 21 S. japonicum miRNAs are orthologs of known miRNAs within the metazoans, some nucleotides at many positions of Schistosoma miRNAs, such as miR-8, let-7, miR-10, miR-31, miR-92, miR-124, and miR-125, are indeed significantly distinct from other bilaterian orthologs. In addition, both miR-71 and some miR-2 family members in tandem are found to be clustered in a reversal direction model on two genomic loci, and two pairs of novel S. japonicum miRNAs were derived from sense and antisense DNA strands at the same genomic loci.<h4>Conclusions/significance</h4>The collection of S. japonicum miRNAs could be used as a new platform to study the genomic structure, gene regulation and networks, evolutionary processes, development, and host-parasite interactions. Some S. japonicum miRNAs and their clusters could represent the ancestral forms of the conserved orthologues and a model for the genesis of novel miRNAs.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19997615/pdf/?tool=EBI
collection DOAJ
language English
format Article
sources DOAJ
author Jian Huang
Pei Hao
Hui Chen
Wei Hu
Qing Yan
Feng Liu
Ze-Guang Han
spellingShingle Jian Huang
Pei Hao
Hui Chen
Wei Hu
Qing Yan
Feng Liu
Ze-Guang Han
Genome-wide identification of Schistosoma japonicum microRNAs using a deep-sequencing approach.
PLoS ONE
author_facet Jian Huang
Pei Hao
Hui Chen
Wei Hu
Qing Yan
Feng Liu
Ze-Guang Han
author_sort Jian Huang
title Genome-wide identification of Schistosoma japonicum microRNAs using a deep-sequencing approach.
title_short Genome-wide identification of Schistosoma japonicum microRNAs using a deep-sequencing approach.
title_full Genome-wide identification of Schistosoma japonicum microRNAs using a deep-sequencing approach.
title_fullStr Genome-wide identification of Schistosoma japonicum microRNAs using a deep-sequencing approach.
title_full_unstemmed Genome-wide identification of Schistosoma japonicum microRNAs using a deep-sequencing approach.
title_sort genome-wide identification of schistosoma japonicum micrornas using a deep-sequencing approach.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2009-12-01
description <h4>Background</h4>Human schistosomiasis is one of the most prevalent and serious parasitic diseases worldwide. Schistosoma japonicum is one of important pathogens of this disease. MicroRNAs (miRNAs) are a large group of non-coding RNAs that play important roles in regulating gene expression and protein translation in animals. Genome-wide identification of miRNAs in a given organism is a critical step to facilitating our understanding of genome organization, genome biology, evolution, and posttranscriptional regulation.<h4>Methodology/principal findings</h4>We sequenced two small RNA libraries prepared from different stages of the life cycle of S. japonicum, immature schistosomula and mature pairing adults, through a deep DNA sequencing approach, which yielded approximately 12 million high-quality short sequence reads containing a total of approximately 2 million non-redundant tags. Based on a bioinformatics pipeline, we identified 176 new S. japonicum miRNAs, of which some exhibited a differential pattern of expression between the two stages. Although 21 S. japonicum miRNAs are orthologs of known miRNAs within the metazoans, some nucleotides at many positions of Schistosoma miRNAs, such as miR-8, let-7, miR-10, miR-31, miR-92, miR-124, and miR-125, are indeed significantly distinct from other bilaterian orthologs. In addition, both miR-71 and some miR-2 family members in tandem are found to be clustered in a reversal direction model on two genomic loci, and two pairs of novel S. japonicum miRNAs were derived from sense and antisense DNA strands at the same genomic loci.<h4>Conclusions/significance</h4>The collection of S. japonicum miRNAs could be used as a new platform to study the genomic structure, gene regulation and networks, evolutionary processes, development, and host-parasite interactions. Some S. japonicum miRNAs and their clusters could represent the ancestral forms of the conserved orthologues and a model for the genesis of novel miRNAs.
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/19997615/pdf/?tool=EBI
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