Effect Of Salmonella Challenging On Digital Gene Expression Profile In Intestine Of Songliao Black Piglet

In order to study the relationship between immune characteristics and disease resistance of piglets, this research has been selected Songliao black piglet to do experiments, and Application of the Salmonella as Attack toxic factor for infection. By studying the differences in expression of gut-associated tissue RNA reveal the the law of the intestinal mucosa in the resistant genome. To investigate the molecular mechanism of the nutrition distribution and immune regulation, we have analyzed the gene expression profile from Salmonella-infected piglet intestine by Solexa next generation sequencing technology. The differentially expressed genes were screened and these data were mined by bioinformatics method (including clustering analysis of expression patterns, GO functional enrichment analysis, pathway enrichment analysis and so on).1. We obtained3.5million raw sequences and3.2million clean tags after certain steps of data-processing from control and Salmonella-infected Songliao piglet intestine using solexa sequencing method.2. To reveal the molecular events behind DGE profiles, we mapped the tag sequences of these two libraries to the reference genome which submitted by the Swine Genome Sequencing Consortium (SGSC). Many sequencing tags mapped to the complementary strand of the sense gene suggest that its antisense strand also have transcripts, and this gene may use the sense-antisense regulation.3. We analyzed the number of expressed genes in a specific GO category for the control and Salmonella-infected. GO analysis showed that the distributions of gene functions were similar. This result indicates that the number of genes expressed in each GO category was not significantly affected by Salmonella.4. Based on the expression profile data, we identify a great number of genes showing significant changes. There were the antimicrobial, immune response, metabolism, as well as many unknown function genes. Most of these genes close linked to the immune system and nutrition metabolism.5. GO enrichment analysis of functional significance applies hypergeometric test to map all differentially expressed genes to terms in GO database, looking for significantly enriched GO terms in DEGs comparing to the genome background.6. The pathway enrichment analysis showed that15pathways were significantly enriched in DEGs. It covered the metabolism pathway and immune system signal transduction.