Click
here to close Hello! We notice that
you are using Internet Explorer, which is not supported by Echinobase
and may cause the site to display incorrectly. We suggest using a
current version of Chrome,
FireFox,
or Safari.
Sci Rep
2015 Dec 04;5:17763. doi: 10.1038/srep17763.
Show Gene links
Show Anatomy links
Identification and comparative analysis of complement C3-associated microRNAs in immune response of Apostichopus japonicus by high-throughput sequencing.
Zhong L
,
Zhang F
,
Zhai Y
,
Cao Y
,
Zhang S
,
Chang Y
.
???displayArticle.abstract???
MicroRNAs (miRNAs) are important effectors in mediating host-pathogen interaction. In this report, coelomocytes miRNA libraries of three Japanese sea cucumbers Apostichopus japonicus were built by Illumina(®) Hiseq2000 from different time points after lipopolysaccharide challenge (at time 0 h, 6 h and 12 h). The clean data received from high throughput sequencing were used to sequences analysis. Referenced to the Strongylocentrotus purpuratus genome, 38 conserved miRNAs were found, and three miRNA candidates were predicted by software. According to the evidence resulting from the expression of AjC3, expressing levels of spu-miR-133, spu-miR-137 and spu-miR-2004 altered along with the expression of AjC3 changing at different time points after LPS injection. Thus, we speculated that the three miRNAs may have influence on A. japonicus complement C3. The spu-miR-137 and miR-137 gene family in miRBase were analyzed by bioinformatics. There is an obvious discrepancy between invertebrates and vertebrates. The first and ninth nucleotides in invertebrate miR-137 are offset compared vertebrate miR-137. Importantly, this is the first attempt to map the stage of immune response regulome in echinoderms, which might be considered as information for elucidating the intrinsic mechanism underlying the immune system in this species.
Figure 1. Size distribution of sequencing reads in three libraries.Different colors represent different libraries.
Figure 2. The predicted hairpin structures.The figures illustrate the predicted hairpin structures of novel-36 (a), novel-44 (b) and novel-45 (c), and the red parts reflect mature sequences.
Figure 3. Alignment of the mature miR-137.Asterisks (*) above the alignments indicate the positions of identity. Frames represent the different bases in vertebrate miR-137 at the first and ninth positions.
Figure 4. Phylogenetic relationships among members of the full-length sequences of miR-137 family hairpin.The tree was constructed using the Maximum Parsimony program from an alignment done with CLUSTAL W. Accession numbers for the sequence used in this alignment are given in Table 2.
Figure 6. Heat map of miRNAs related to the immune response.Heat map showing the differential expression of miRNAs in three libraries (log2 transformed relative expression values). miRNA with a higher expression level is mapped to the red part and miRNA with a lower expression level is mapped to the blue part.
Bartel,
MicroRNAs: genomics, biogenesis, mechanism, and function.
2004, Pubmed
Bartel,
MicroRNAs: genomics, biogenesis, mechanism, and function.
2004,
Pubmed
Bashirullah,
Coordinate regulation of small temporal RNAs at the onset of Drosophila metamorphosis.
2003,
Pubmed
Baulcombe,
DNA events. An RNA microcosm.
2002,
Pubmed
Chen,
Large-scale identification and comparative analysis of miRNA expression profile in the respiratory tree of the sea cucumber Apostichopus japonicus during aestivation.
2014,
Pubmed
,
Echinobase
Christodoulou,
Ancient animal microRNAs and the evolution of tissue identity.
2010,
Pubmed
,
Echinobase
Cristino,
Deep sequencing of organ- and stage-specific microRNAs in the evolutionarily basal insect Blattella germanica (L.) (Dictyoptera, Blattellidae).
2011,
Pubmed
Doench,
Specificity of microRNA target selection in translational repression.
2004,
Pubmed
Enright,
MicroRNA targets in Drosophila.
2003,
Pubmed
Friedländer,
miRDeep2 accurately identifies known and hundreds of novel microRNA genes in seven animal clades.
2012,
Pubmed
Grimson,
Early origins and evolution of microRNAs and Piwi-interacting RNAs in animals.
2008,
Pubmed
Gross,
Echinoderm immunity and the evolution of the complement system.
1999,
Pubmed
,
Echinobase
Kadri,
RNA deep sequencing reveals differential microRNA expression during development of sea urchin and sea star.
2011,
Pubmed
,
Echinobase
Kim,
Small RNAs: classification, biogenesis, and function.
2005,
Pubmed
Lai,
Micro RNAs are complementary to 3' UTR sequence motifs that mediate negative post-transcriptional regulation.
2002,
Pubmed
Langmead,
Ultrafast and memory-efficient alignment of short DNA sequences to the human genome.
2009,
Pubmed
Li,
Characterization of skin ulceration syndrome associated microRNAs in sea cucumber Apostichopus japonicus by deep sequencing.
2012,
Pubmed
,
Echinobase
Livak,
Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method.
2001,
Pubmed
Lu,
The birth and death of microRNA genes in Drosophila.
2008,
Pubmed
Motameny,
Next Generation Sequencing of miRNAs - Strategies, Resources and Methods.
2010,
Pubmed
Pedersen,
Interferon modulation of cellular microRNAs as an antiviral mechanism.
2007,
Pubmed
Pisani,
Resolving phylogenetic signal from noise when divergence is rapid: a new look at the old problem of echinoderm class relationships.
2012,
Pubmed
,
Echinobase
Ramírez-Gómez,
Immune-related genes associated with intestinal tissue in the sea cucumber Holothuria glaberrima.
2008,
Pubmed
,
Echinobase
Sempere,
The phylogenetic distribution of metazoan microRNAs: insights into evolutionary complexity and constraint.
2006,
Pubmed
Skalsky,
Identification of microRNAs expressed in two mosquito vectors, Aedes albopictus and Culex quinquefasciatus.
2010,
Pubmed
Wei,
Characterization and comparative profiling of the small RNA transcriptomes in two phases of locust.
2009,
Pubmed
Wen,
miREvo: an integrative microRNA evolutionary analysis platform for next-generation sequencing experiments.
2012,
Pubmed
Xu,
The Drosophila microRNA Mir-14 suppresses cell death and is required for normal fat metabolism.
2003,
Pubmed
Zhang,
Molecular evolution of a primate-specific microRNA family.
2008,
Pubmed
Zhong,
Gene cloning and function analysis of complement B factor-2 of Apostichopus japonicus.
2012,
Pubmed
,
Echinobase
Zhou,
Integrated profiling of microRNAs and mRNAs: microRNAs located on Xq27.3 associate with clear cell renal cell carcinoma.
2010,
Pubmed