摘要
利用生物信息学方法预测香蕉中的miRNA,即通过将miRBase数据库中的已知植物的miRNA与香蕉EST和GSS数据库进行BLAST比对搜索,筛选出潜在的miRNA,最后得到16条香蕉miRNA,分属于9个miRNA家族,其中3条来源于EST数据库,13条来源于GSS数据库,并利用在线软件psRNATarget预测其靶基因,共得到168个靶基因,分别编码多种功能蛋白,参与各生物学过程。
microRNAs（ miRNAs） are a class of 21- 23 nucleotides long non-encoding RNA molecules in eukaryotic organisms,which play an important role in gene regulation by translation cutting or inhibition of target mRNA at the post transcriptional level. The expressions of miRNA are more rapid than those of the coding genes,are not influenced by the translation process,and have high regulation efficiency in the expression of target mRNA,and plant miRNAs play key roles in response or tolerance to biotic and abiotic stresses,growth and epigenetic inheritance. In this study,miRNAs in banana were predicted by using the bio-informatics methods. The BLAST searching between miRNAs of known plants from miRBase database and those of banana from the EST and GSS database showed that 16 conserved miRNAs in banana were grouped into 9 miRNA families： three from ETS database,and13 miRNAs from GSS database. The target genes were then predicted with online software psRNATarget,and 168 target genes were found encoding many proteins and involving many biological processes.
出处
《热带生物学报》
2016年第2期237-245,共9页
Journal of Tropical Biology
基金
国家自然科学基金资助项目(31360364)
教育部热带作物新品种选育工程中心与作物学重点学科联合资助项目(lhxm-2012-2)
海南省重大科技项目(ZDZX2013023)
“中央财政支持中西部高校提升综合实力专项”子课题
