根据成熟miRNA序列在物种间高度保守的特性,miRNA前体可以形成茎环状的二级结构,以及miRNA非编码的特性,搭建出了miRNA挖掘的生物信息学流程,并利用此流程在大黄鱼全转录组中进行miRNA的挖掘,得到54条成熟miRNA序列以及54条前体序列(pre-miRNA),根据其种子区的序列将其归为29个miRNA家族。通过对预测得到的miRNA前体序列同其他物种中相同家族的miRNA前体序列构建系统进化树,揭示出同一家族的miRNA前体在不同物种之间的保守性和多样性。利用两种靶基因预测软件,对成熟miRNA进行靶基因预测,共得到2360个靶基因,并对这些靶基因使用BLAST2GO做了进一步的GO注释和富集分析。
In this study, a miRNA prediction bioinformatics pipeline was designed according to three basic criteria, mature miRNA sequences are highly conserved among different species, miRNA precursors could form stem loop secondary structure and miRNAs are non-coding sequences. The large yellow croaker transcriptome sequences were used to predict miRNA by this pipeline. At last, 54 mature miRNAs, which belong to 29 miRNA families according to seed region , as well as 54 pre-miRNA sequences were gained. When compared with other animals’ miRNA precursors,the phylogenetic analysis reveals conservation and d i-versification of large yellow croaker miRNA precursors among diverse animal species. 2360 miRNA target genes were gained by using two miRNA target gene prediction tools,and BLAST2G0 was also used to GO an-notation for target genes.