Project description:Salmonella enterica Pullorum(S. Pullorum) is one of the most important pathogens in poultry. A better understanding of the immune response and molecular modulation resulting from infection by S. Pullorum will facilitates the control of this pathogen. In this study, we determined the relationships among identified differential expressed genes (DEGs) and pathways via deeply mining microarray data from Guangxi Huang Chicken challenged with S. Pullorum.
Project description:Purpose: Searching for sRNAs in Salmonella pullorum by RNA sequencing and exploring their functions.Methods: High-throughput sequencing of RNA extracted from Salmonella pullorum under normal growth conditions to detect newly discovered sRNAs, followed by experiments to verify their functions.Results: The proportion of Clean Reads of this sequencing was >65%, and the base Q30s were all above 85%, indicating that the sequencing quality is good and can be used for subsequent analysis. The sRNAscanner software predicted that 148 new sRNAs might exist on the reference genome of Salmonella fowl dysentery, and the reads obtained from sequencing were compared to the genome, and it was found that 110 out of the 148 newly predicted sRNAs could be detected.Conclusions: sRNAs are widely found in bacteria and are involved in many physiological processes. In this study, we detected new sRNAs in Salmonella pullorum by RNA-seq, which lays the foundation for the subsequent investigation of the regulatory functions of sRNAs in bacteria.
Project description:Single-molecule read technologies allow for detection of epigenomic base modifications during routine sequencing by analysis of kinetic data during the reaction, including the duration between base incorporations at the elongation site (the "inter-pulse duration.") Methylome data associated with a closed de novo bacterial genome of Salmonella enterica subsp. enterica serovar Javiana str. CFSAN001992 was produced and submitted to the Gene Expression Omnibus.