Bioinformatic identification of microRNAs and their target genes from Solanum tuberosum expressed sequence tags  

作　　者：GUO Qiang XIANG AnLina YANG Qina YANG ZhiMin 

机构地区：[1]Department of Biochemistry and Molecular Biology, College of Life Sciences, Nanjing Agricultural University, Nanjing 210095, China

出　　处：《Chinese Science Bulletin》2007年第17期2380-2389,共10页

摘　　要：MicroRNAs (miRNAs) are a class of non-coding RNAs that regulate gene post-transcriptional expres- sion in plants and animals. Low levels of some miRNAs and time- and tissue-specific expression pat- terns lead to the difficulty for experimental identification of miRNAs. Here we present a bioinformatic approach for expressed sequence tags (ESTs) prediction of novel miRNAs as well as their targets in Solanum tuberosum. We blasted the databases of S. tuberosum ESTs to search for potential miRNAs, using previously known miRNA sequences from Arabidopsis, rice and other plant species. By analyzing parameters of plant precursors, including secondary structure, stem length and conservation of miRNAs, and following a variety of filtering criteria, a total of 22 potential miRNAs were detected. Using the newly identified miRNA sequences, we were able to further blast the S. tuberosum mRNA database and detected 75 potential targets of miRNAs in S. tuberosum. According to the mRNA annotations provided by the National Center for Biotechnology Information (NCBI) (http://www.ncbi.nlm.nih.gov/), most of the miRNA target genes were predicted to encode transcription factors that regulate cell growth and development, signaling, and metabolism.MicroRNAs （miRNAs） are a class of non-coding RNAs that regulate gene post-transcriptional expression in plants and animals. Low levels of some miRNAs and time- and tissue-specific expression patterns lead to the difficulty for experimental identification of miRNAs. Here we present a bioinformatic approach for expressed sequence tags （ESTs） prediction of novel miRNAs as well as their targets in Solanum tuberosum. We blasted the databases of S. tuberosum ESTs to search for potential miRNAs, using previously known miRNA sequences from Arabidopsis, rice and other plant species. By analyzing parameters of plant precursors, including secondary structure, stem length and conservation of miRNAs, and following a variety of filtering criteria, a total of 22 potential miRNAs were detected. Using the newly identified miRNA sequences, we were able to further blast the S. tuberosum mRNA database and detected 75 potential targets of miRNAs in S. tuberosum. According to the mRNA annotations provided by the National Center for Biotechnology Information （NCBI） （http：//www.ncbi.nlm.nih.gov/）, most of the miRNA target genes were predicted to encode transcription factors that regulate cell growth and development, signaling, and metabolism.

关 键 词：生物信息学 茄子 基因表达 基因序列 

分 类 号：S641.1[农业科学—蔬菜学]