Gene expression profiling in Salmonella Choleraesuis-infected porcine lung using a long oligonucleotide microarray
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Understanding the transcriptional response to pathogenic bacterial infection within food animals is of fundamental and applied interest. To determine the transcriptional response to Salmonella enterica serovar Choleraesuis (SC) infection, a 13,297-oligonucleotide swine array was used to analyze RNA from control, 24-h postinoculation (hpi), and 48-hpi porcine lung tissue from pigs infected with SC. In total, 57 genes showed differential expression (p < 0.001; false discovery rate = 12%). Quantitative real-time PCR (qRT-PCR) of 61 genes was used to confirm the microarray results and to identify pathways responding to infection. Of the 33 genes identified by microarray analysis as differentially expressed, 23 were confirmed by qRT-PCR results. A novel finding was that two transglutaminase family genes (TGM1 and TGM3) showed dramatic increases in expression postinoculation; combined with several other apoptotic genes, they indicated the induction of apoptotic pathways during SC infection. A predominant T helper 1-type immune response occurred during infection, with interferon γ (IFNG) significantly increased at 48 hpi. Genes induced by IFNs (GBP1, GBP2, C1S, C1R, MHC2TA, PSMB8, TAP1, TAP2) showed increased expression during porcine lung infection. These data represent the first thorough investigation of gene regulation pathways that control an important porcine respiratory and foodborne bacterial infection.
KeywordsDifferential Gene Expression Analysis Tentative Consensus LOWESS Normalization Mycoplasma Hyopneumoniae Porcine Lung
This project was supported by USDA-NRI-2004-35205-14202 to CKT, JKL, and DN. Slides used in this study were spotted in collaboration with Dr. V. Kapur of the University of Minnesota as part of the USDA NRSP8 Swine Subcommittee collaborative agreement, and partially subsidized by the Pig Genome Coordinator. The authors thank Sajeev Batra of Qiagen-Operon for producing and providing BLAST analyses data before distribution.
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