Literature DB >> 26523500

Genome-wide identification and characterization of microRNA genes and their targets in large yellow croaker (Larimichthys crocea).

Yong Huang1, Jia-Heng Cheng2, Fu-Nong Luo2, Hao Pan2, Xiao-Juan Sun2, Lan-Yu Diao2, Xiao-Juan Qin2.   

Abstract

MicroRNAs (miRNAs or miRs) are a class of non-coding RNAs of 20-25 nucleotides (nt) in length, which regulates the expression of gene in eukaryotic organism. Studies has been confirmed that miRNA plays an important role in various biological and metabolic processes in both animals and plants. Predicting new miRNAs by computer based homology search analysis is an effective way to discover novel miRNAs. Though a large number of miRNAs have been reported in many fish species, reports of miRNAs in large yellow croaker (L. crocea) are limited especially via the computational-based approaches. In this paper, a method of comparative genomic approach by computational genomic homology based on the conservation of miRNA sequences and the stem-loop hairpin secondary structures of miRNAs was adopted. A total of 199 potential miRNAs were predicted representing 81 families. 12 of them were chose to be validated by real time RT-PCR, apart from miR-7132b-5p which was not detected. Results indicated that the prediction method that we used to identify the miRNAs was effective. Furthermore, 948 potential target genes were predicted. Gene ontology (GO) analysis revealed that 175, 287, and 486 target genes were involved in cellular components, biological processes and molecular functions, respectively. Overall, our findings provide a first computational identification and characterization of L. crocea miRNAs and their potential targets in functional analysis, and will be useful in laying the foundation for further characterization of their role in the regulation of diversity of physiological processes.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Computational identification; Large yellow croaker; MicroRNA; Targets

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Year:  2015        PMID: 26523500     DOI: 10.1016/j.gene.2015.10.044

Source DB:  PubMed          Journal:  Gene        ISSN: 0378-1119            Impact factor:   3.688


  3 in total

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Authors:  Sujay Paul
Journal:  3 Biotech       Date:  2017-05-30       Impact factor: 2.406

2.  Identification and expression analysis of cobia (Rachycentron canadum) liver-related miRNAs under hypoxia stress.

Authors:  Jian-Sheng Huang; Hong-Juan Li; Zhi-Xiong Guo; Jian-Dong Zhang; Wei-Zheng Wang; Zhong-Liang Wang; Eric Amenyogbe; Gang Chen
Journal:  Fish Physiol Biochem       Date:  2021-10-11       Impact factor: 2.794

3.  Improving classification of mature microRNA by solving class imbalance problem.

Authors:  Ying Wang; Xiaoye Li; Bairui Tao
Journal:  Sci Rep       Date:  2016-05-16       Impact factor: 4.379

  3 in total

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