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De novo Assembly of the Grass Carp Ctenopharyngodon idella Transcriptome to Identify miRNA Targets Associated with Motile Aeromonad Septicemia

BACKGROUND: De novo transcriptome sequencing is a robust method of predicting miRNA target genes, especially for organisms without reference genomes. Differentially expressed miRNAs had been identified previously in kidney samples collected from susceptible and resistant grass carp (Ctenopharyngodon...

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Detalles Bibliográficos
Autores principales: Xu, Xiaoyan, Shen, Yubang, Fu, Jianjun, Lu, Liqun, Li, Jiale
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4237362/
https://www.ncbi.nlm.nih.gov/pubmed/25409340
http://dx.doi.org/10.1371/journal.pone.0112722
Descripción
Sumario:BACKGROUND: De novo transcriptome sequencing is a robust method of predicting miRNA target genes, especially for organisms without reference genomes. Differentially expressed miRNAs had been identified previously in kidney samples collected from susceptible and resistant grass carp (Ctenopharyngodon idella) affected by Aeromonas hydrophila. Target identification for these differentially expressed miRNAs poses a major challenge in this non-model organism. RESULTS: Two cDNA libraries constructed from mRNAs of susceptible and resistant C. idella were sequenced by Illumina Hiseq 2000 technology. A total of more than 100 million reads were generated and de novo assembled into 199,593 transcripts which were further extensively annotated by comparing their sequences to different protein databases. Biochemical pathways were predicted from these transcript sequences. A BLASTx analysis against a non-redundant protein database revealed that 61,373 unigenes coded for 28,311 annotated proteins. Two cDNA libraries from susceptible and resistant samples showed that 721 unigenes were expressed at significantly different levels; 475 were significantly up-regulated and 246 were significantly down-regulated in the SG samples compared to the RG samples. The computational prediction of miRNA targets from these differentially expressed genes identified 188 unigenes as the targets of 5 conserved and 4 putative novel miRNA families. CONCLUSION: 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 C. idella and will provide insights into the gene expression profile analysis and the miRNA function annotations in further studies.