Development And Research Of Eukaryotic Selenoprotein Gene Prediction System And Query Database

Selenium is an essential trace element in life and is associated with a variety of physiological processes and serious diseases.Selenoprotein is the main form of selenium in Vivo.Using the bioinformatics method to identify selenoprotein and its related synthetic genes is an important aspect of selenoprotein research.In recent years,with the rapid development of bioinformatics and the completion of large-scale species genome sequencing,significant progress has been made in the research of selenoproteins.Eukaryotic selenoprotein of limited specific regions was well understood.But the synthetic mechanism of eukaryotic selenoprotein is incomplete and needs to be improved.In this thesis,a selenoprotein identification system is established,based on Sel Gen Amic.The system has the advantages of higher sensitivity and efficiency for the identification of large-scale selenoprotein genes in various species.using our system,we identified more than 1,000 selenoprotein genes,which further improved the understanding of distribution and scale of selenoproteins in eukaryotes at different evolutionary stages.The synthesis of selenoprotein requires a complex system,and the phylogenetic analysis of the synthetic factor genes in the synthesis system can further improve the selenoprotein synthesis system.In this thesis,the synthetic factor genes involved in selenoprotein synthesis,eEFSec,and SBP2,were identified in 338 eukaryotes of different evolutionary branches,and a phylogenetic analysis was performed.As a result,some functional regions of eEFSec and SBP2 were found.Also,we have established a secondary database of selenoprotein biological information,the Selenoprotein Database Website(SPDB,www.selenoprotein.com),which is a bioinformatics data-sharing platform to provide high-quality information about eukaryotic selenoproteins.In summary,this thesis involves the identification,evolutionary analysis,and data storage of selenoproteins.A stable and effective selenoprotein gene prediction system has been constructed and was used for large-scale identification and analysis of selenoproteins in eukaryotes.Identification and phylogenetic analysis of eEFSec and SBP2 genes involved in eukaryotic selenoprotein synthesis were performed,and their eukaryotic distribution profiles were obtained.Besides,we have constructed a selenoprotein database website.The website provides data query and downloads service of eukaryotic selenoproteins,which is an efficient tool and platform for selenoprotein research,as well as a foundation for the subsequent research and discovery of selenoprotein.