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Genome-Wide Identification of Schistosoma japonicum MicroRNAs Using a Deep-Sequencing Approach

BACKGROUND: 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 tr...

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Autores principales: Huang, Jian, Hao, Pei, Chen, Hui, Hu, Wei, Yan, Qing, Liu, Feng, Han, Ze-Guang
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2785426/
https://www.ncbi.nlm.nih.gov/pubmed/19997615
http://dx.doi.org/10.1371/journal.pone.0008206
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author Huang, Jian
Hao, Pei
Chen, Hui
Hu, Wei
Yan, Qing
Liu, Feng
Han, Ze-Guang
author_facet Huang, Jian
Hao, Pei
Chen, Hui
Hu, Wei
Yan, Qing
Liu, Feng
Han, Ze-Guang
author_sort Huang, Jian
collection PubMed
description BACKGROUND: 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. METHODOLOGY/PRINCIPAL FINDINGS: 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 ∼12 million high-quality short sequence reads containing a total of ∼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. CONCLUSIONS/SIGNIFICANCE: 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.
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spelling pubmed-27854262009-12-08 Genome-Wide Identification of Schistosoma japonicum MicroRNAs Using a Deep-Sequencing Approach Huang, Jian Hao, Pei Chen, Hui Hu, Wei Yan, Qing Liu, Feng Han, Ze-Guang PLoS One Research Article BACKGROUND: 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. METHODOLOGY/PRINCIPAL FINDINGS: 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 ∼12 million high-quality short sequence reads containing a total of ∼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. CONCLUSIONS/SIGNIFICANCE: 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. Public Library of Science 2009-12-08 /pmc/articles/PMC2785426/ /pubmed/19997615 http://dx.doi.org/10.1371/journal.pone.0008206 Text en Huang et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Huang, Jian
Hao, Pei
Chen, Hui
Hu, Wei
Yan, Qing
Liu, Feng
Han, Ze-Guang
Genome-Wide Identification of Schistosoma japonicum MicroRNAs Using a Deep-Sequencing Approach
title 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_short 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
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2785426/
https://www.ncbi.nlm.nih.gov/pubmed/19997615
http://dx.doi.org/10.1371/journal.pone.0008206
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