International Journal of Data Science and Analysis
Volume 2, Issue 2, December 2016, Pages: 21-31
Received: Sep. 6, 2016;
Accepted: Dec. 9, 2016;
Published: Dec. 30, 2016
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Zhibin Ji, Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Taian, China
Guizhi Wang, Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Taian, China
Fei Dong, Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Taian, China
Lei Hou, Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Taian, China
Zhaohua Liu, Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Taian, China
Tianle Chao, Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Taian, China
Jianmin Wang, Shandong Provincial Key Laboratory of Animal Biotechnology and Disease Control and Prevention, College of Animal Science and Veterinary Medicine, Shandong Agricultural University, Taian, China
MicroRNAs are a class of non-protein coding small RNAs that regulate genes expression at post-transcriptional levels. Increasing evidence indicates miRNAs play key roles in a broad range of biological processes. In this study, based on the phylogenetic conservation of microRNAs, a combined bioinformatics and sequences homology comparison approach was used for the identification and function analysis of novel miRNA candidates in Capra hircus. As a result, a total of 13 potential microRNA candidates were detected following a range of filtering criteria. 153 non-redundant presumable target genes were predicted in Ovis aries 3′-Untranslated region database. 149 protein sequences were mapped by BLASTX, 2,517 GO terms were returned and distributed in biological process, molecular function and cell component. 66 KEGG pathways were also involved by these novel miRNAs. The qRT-PCR based assay was performed to validate the authenticity of these novel miRNA candidates. The results indicate the expressed sequence tags analysis is an efficient and affordable approach for identifying novel microRNA candidates, and our study provides insight into the further researches of miRNAs and their functions in Capra hircus.
Identification and Function Analysis of Novel microRNAs by Computers in Capra Hircus, International Journal of Data Science and Analysis.
Vol. 2, No. 2,
2016, pp. 21-31.
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