›› 2017, Vol. 44 ›› Issue (9): 2580-2586.doi: 10.16431/j.cnki.1671-7236.2017.09.006

Previous Articles     Next Articles

Bioinformatic Analysis and Prediction of miRNA-101 Target Genes in Yak

LING Xiao-xiao1,2, WU Xiao-yun1,2, LIANG Chun-nian1,2, TANG Peng2,3, WANG Hong-bo1,2, BAO Peng-jia1,2, GUO Xian1,2, YAN Ping1,2   

  1. 1. Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China;
    2. Key Laboratory for Yak Breeding Engineering, Lanzhou 730050, China;
    3. Gansu Agricultural University, Lanzhou 730050, China
  • Received:2017-04-07 Online:2017-09-20 Published:2017-09-22

Abstract:

In this study,bioinformatics softwares and databases were used to bioinformatically analyze and predict target genes of miR-101 in yak. The high-throughput sequencing technology was used to obtain the sequence of yak miR-101 and analyze its conservation.TargetScan,miRanda and PicTar were applied to predict target genes of miR-101. The intersection of the three results and validated targets from miRTarbase database were demonstrated by Gene Ontology and Pathway enrichment analysis using BINGO and DAVID database.The results showed that miR-101 sequence of yak was highly conserved among all species,and the biological functions of target genes regulated by miR-101 mainly included basic biological function,such as multicellular organismal development,developmental process, system development,anatomical structure development,organ development and molecular functions were enriched in protein binding,transcription factor activity and so on. Target genes exist in various components of the cell,including the cytoplasm,nucleus and organelles. Signal transduction pathways were significantly enriched in the MAPK signal pathway,focal adhesion,ErbB signaling pathway,Wnt signaling pathway,TGF-beta signaling pathway and mTOR signaling pathway (P<0.05). The prediction and bioinformatics analysis of miR-101 target genes laid the basis to study the role of miR-101 in yak muscle development.

Key words: yak; miR-101; target genes; bioinformatics

CLC Number: