Dataset Information

Computational identification and characterization of miRNAs and their target genes from five cyprinidae fishes.

ABSTRACT: MicroRNAs (miRNAs) are a kind of small single-strand RNA molecules with lengths of 18-25 nt, which do not encode any proteins. They play an essential role in gene expression regulation by binding to their target genes, leading to translational repression or transcript degradation. In this study, 23 miRNAs were predicted from five cyprinidae fishes by using a bioinformatics-based gene search based on blasting ESTs and GSS in NCBI, of which 21 miRNA genes have not been previously reported. To prove their validity, five of the computationally predicted miRNAs were verified by RTPCR, their transcripts were successfully detected, and, 46 potential target genes for these miRNAs were predicted, most target genes encode transcription factors, they are involved in signal transduction, metabolism and development processes.

SUBMITTER: Huang Y

PROVIDER: S-EPMC5562384 | biostudies-literature | 2017 Sep

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Computational identification and characterization of miRNAs and their target genes from five cyprinidae fishes.

Huang Yong Y Ren Hong-Tao HT Zou Quan Q Wang Yu-Qin YQ Zhang Ji-Liang JL Yu Xue-Li XL

Saudi journal of biological sciences 20150513 6

MicroRNAs (miRNAs) are a kind of small single-strand RNA molecules with lengths of 18-25 nt, which do not encode any proteins. They play an essential role in gene expression regulation by binding to their target genes, leading to translational repression or transcript degradation. In this study, 23 miRNAs were predicted from five cyprinidae fishes by using a bioinformatics-based gene search based on blasting ESTs and GSS in NCBI, of which 21 miRNA genes have not been previously reported. To prov ...[more]

PMID: 28855803

Similar Datasets

Project description:BackgroundMiRNAs (microRNA) are 18-24 nt endogenous noncoding RNAs that regulate gene expression at the post-transcriptional level, including tissue-specific, developmental timing and evolutionary conservation gene expression.ResultsThis study used high-throughput sequencing technology for the first time in Larix olgensis, predicted 78 miRNAs, including 12,229,003 reads sRNA, screened differentially expressed miRNAs. Predicting target genes was helpful for understanding the miRNA regulation function and obtained 333 corresponding target genes. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional annotation were analysed, mostly including nucleic acid binding, plant hormone signal transduction, pantothenate and CoA biosynthesis, and cellulose synthase. This study will lay the foundation for clarifying the complex miRNA-mediated regulatory network for growth and development. In view of this, spatio-temporal expression of miR396, miR950, miR164, miR166 and miR160 were analysed in Larix olgensis during the growth stages of not lignified, beginning of lignification, and completely lignified in different tissues (root, stem, and leaf) by quantitative real-time PCR (qRT-PCR). There were differences in the expression of miRNAs in roots, stems and leaves in the same growth period. At 60 days, miR160, miR166 and miR396-2 exhibited the highest expression in leaves. At 120 days, most miRNAs in roots and stems decreased significantly. At 180 days, miRNAs were abundantly expressed in roots and stems. Meanwhile, analysis of the expression of miRNAs in leaves revealed that miR396-2 was reduced as time went on, whereas other miRNAs increased initially and then decreased. On the other hand, in the stems, miR166-1 was increase, whereas other miRNAs, especially miR160, miR164, miR396 and miR950-1, first decreased and then increased. Similarly, in the roots, miR950-2 first decreased and then increased, whereas other miRNAs exhibited a trend of continuous increase.ConclusionsThe present investigation included rapid isolation and identification of miRNAs in Larix olgensis through construction of a sRNA library using Solexa and predicted 78 novel miRNAs, which showed differential expression levels in different tissues and stages. These results provided a theoretical basis for further revealing the genetic regulation mechanism of miRNA in the growth and development of conifers and the verification of function in target genes.

Dataset Information

Computational identification and characterization of miRNAs and their target genes from five cyprinidae fishes.

Publications

Computational identification and characterization of miRNAs and their target genes from five cyprinidae fishes.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets