Identification and characterization of endogenous viral elements for the three key schistosomes of humans

Endogenous viral elements [EVEs] are widely distributed throughout eukaryotic genomes, and their evolution and potential function have attracted a lot of interest. Draft genome sequences for Schistosoma mansoni, Schistosoma japonicum and Schistosoma haematobium are now available; however, information about EVEs in blood flukes of the genus schistosoma is scanty. Here, genome-wide survey into the putative EVE sequences of the three key schistosome genomes were present. Totally 4, 117 gene sequences were identified, including retrovirus-like gypsy elements, RNA viruses and dsDNA viruses. Compared with S. japonicum and S. haematobium, S. mansoni appeared to greatly outnumbered by gypsy members. Phylogenetic analysis revealed one novel endogenous retrovirus element in S. mansoni. This initial characterization of schistosomes showed that schistosomes harbour distinct EVEs that may have played an important evolutionary role. Studies of schistosomes' endogenous viruses helped us to glance at an earlier viral event in the class Trematoda, greatly broadening the field of palaeovirology

Protein Interaction Network Construction and Biological Pathway Analysis Related to Atherosclerosis / 生物医学工程学杂志

Atherosclerosis is a complex disease characterized by lipid accumulation in the vascular wall and influenced by multiple genetic and environmental factors. To understand the mechanisms of molecular regulation related to atherosclerosis better, a protein interaction network was constructed in the present study. Genes were collected in nucleotide database and interactions were downloaded from Biomolecular Object Network Database (BOND). The interactional data were imported into the software Cytoscape to construct the interaction network, and then the degree characteristics of the network were analyzed for Hub proteins. Statistical significance pathways and diseases were figured out by inputting Hub proteins to KOBAS2. 0. The complete pathway network related to atherosclerosis was constructed. The results identified a series of key genes related to atherosclerosis, which would be the potential promising drug targets for effective prevention.