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Identification of MicroRNA Genes and their mRNA Targets in Festuca arundinacea

Overview of attention for article published in Applied Biochemistry and Biotechnology, March 2014
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Title
Identification of MicroRNA Genes and their mRNA Targets in Festuca arundinacea
Published in
Applied Biochemistry and Biotechnology, March 2014
DOI 10.1007/s12010-014-0805-6
Pubmed ID
Authors

Xi Hong Sun, Ling Ping Zhao, Quan Zou, Zhan Bin Wang

Abstract

MicroRNAs (miRNAs) have emerged as a novel class of endogenous, small, non-coding RNAs of 22 nucleotides (nts) in length, which plays important roles in post-transcriptional degradation of target mRNA or inhibition of protein synthesis through binding the specific sites of target mRNA. Growing evidences have shown that miRNAs play an important role in various biological processes, including growth and development, signal transduction, apoptosis, proliferation, stress responses, maintenance of genome stability, and so on. In our study, we used bioinformatic tools to predict miRNA and the corresponding target genes of Festuca arundinacea. We used known miRNAs of other plants from miRBase to search against expressed sequence tags (EST) databases and genome survey sequences (GSS) of F. arundinacea. A total of 8 potential miRNAs were predicted. Phylogenetic analysis of the predicted miRNAs revealed that miRNA398c of F. arundinacea species was evolutionary highly conserved with Populus trichocarpa. The 8 potential miRNAs corresponding to 20 target genes were found. Most of the miRNA target genes were predicted to encode transcription factors that regulate cell growth and development, signaling, metabolism, and other biology processes. By bioinformatics methods, we can effectively predict novel miRNAs and its target genes and add information to F. arundinacea miRNA database. Moreover, it shows a path for the prediction and analysis of miRNAs to those species whose genomes are not available through bioinformatics tools.

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Geographical breakdown

Country Count As %
India 1 5%
Turkey 1 5%
Unknown 18 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 30%
Researcher 4 20%
Student > Bachelor 3 15%
Student > Master 2 10%
Professor > Associate Professor 1 5%
Other 0 0%
Unknown 4 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 45%
Biochemistry, Genetics and Molecular Biology 3 15%
Computer Science 2 10%
Immunology and Microbiology 1 5%
Unknown 5 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 March 2014.
All research outputs
#20,226,756
of 22,751,628 outputs
Outputs from Applied Biochemistry and Biotechnology
#2,028
of 2,498 outputs
Outputs of similar age
#190,575
of 222,153 outputs
Outputs of similar age from Applied Biochemistry and Biotechnology
#35
of 43 outputs
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So far Altmetric has tracked 2,498 research outputs from this source. They receive a mean Attention Score of 3.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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