genome-wide identification of schistosoma japonicum micrornas using a deep-sequencing approach全基因组鉴定日本血吸虫microrna使用深度排序的方法.pdfVIP

Genome-Wide Identification of Schistosoma japonicum MicroRNAs Using a Deep-Sequencing Approach 1 2 1 3 1 1 1 Jian Huang , Pei Hao , Hui Chen , Wei Hu , Qing Yan , Feng Liu , Ze-Guang Han * 1 Shanghai-MOST Key Laboratory for Disease and Health Genomics, Chinese National Human Genome Center at Shanghai, Shanghai, China, 2 Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China, 3 National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention, Shanghai, China Abstract Background: Human schistosomiasis is one of the most prevalent and serious parasitic diseases worldwide. Schistosoma japonicum is one of important pathogens of this disease. MicroRNAs (miRNAs) are a large group of non-coding RNAs that play important roles in regulating gene expression and protein translation in animals. Genome-wide identification of miRNAs in a given organism is a critical step to facilitating our understanding of genome organization, genome biology, evolution, and posttranscriptional regulation. Methodology/Principal Findings: We sequenced two small RNA libraries prepared from different stages of the life cycle of S. japonicum, immature schistosomula and mature pairing adults, through a deep DNA sequencing approach, which yielded ,12 million high-quality short sequence reads containing a total of ,2 million non-redundant tags. Based on a bioinformatics pipeline, we identified 176 new S. japonicum miRNAs, of which some exhibited a differential pattern of expression between the two stages. Although 21 S. japonicum miRNAs are orthologs of known miRNAs within the metazoans, some nucleotides at many positions of Sch