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ARS Home » Midwest Area » Ames, Iowa » National Animal Disease Center » Food Safety and Enteric Pathogens Research » Research » Publications at this Location » Publication #170966
Title: IDENTIFICATION OF DIFFERENTIALLY EXPRESSED GENES IN PORCINE LUNG TISSUE DURING SALMONELLA ENTERICA SEROVAR CHOLERAESUIS INFECTION USING A 13,000 SWINE GENE OLIGO MICROARRAY

Author
item ZHAO, S - IOWA STATE UNIVERSITY
item RECKNOR, J - IOWA STATE UNIVERSITY
item NETTLETON, D - IOWA STATE UNIVERSITY
item Lunney, Joan
item UTHE, J - IOWA STATE UNIVERSITY
item Bearson, Shawn
item TUGGLE, C - IOWA STATE UNIVERSITY

Submitted to: Plant and Animal Genome Conference
Publication Type: Abstract Only
Publication Acceptance Date: 10/3/2004
Publication Date: 1/15/2005
Citation: Zhao, S.H., Recknor, J., Nettleton, D., Lunney, J.K., Uthe, J.J., Bearson, S.M., Tuggle, C.K. 2005. Identification of differentially expressed genes in porcine lung tissue during Salmonella enterica serovar Choleraesuis infection using a 13,000 swine gene oligo microarray [abstract]. Plant and Animal Genome XIII Conference. Abstract No. P568.

Interpretive Summary:

Technical Abstract: Salmonella infections are economically important in the pig industry. Our research is aimed at defining means of controlling, or preventing, these infections. Previous investigations have highlighted the importance of inflammatory cytokine gene expression during Salmonella infection. High-throughput gene expression profiling is seldom used in this area. The first-generation 13,000 element porcine oligo microarray was used to investigate gene expression in porcine lung during Salmonella infection. Salmonella spp-free seven-week-old piglets were intranasally challenged with one billion CFU Salmonella enterica serovar choleraesuis Chi3246. Total RNA from control, 24 hour, and 48 hour post-infection lung were used for the microarray hybridizations. Pig lung samples from each time point were randomly assigned to three loops and nine slides were used. Data were analyzed by ANOVA using a mixed model in SAS. Fifty-seven genes showed differential expression at a p < 0.001 significance level (40 genes among them are annotated genes, 16 (40%) are immune-related genes). A total of 339 genes showed differential expression at p < 0.01, 1,300 genes at a p < 0.05 significance level. Cluster analysis by GeneCluster 2.0 software revealed five gene expression clusters with increased or decreased expression post-infection. For example, among the 57 genes with strongest statistical evidence for differential expression, 24 genes decreased their expression level and 33 genes showed increased expression at 48 hours post-infection. Validation of differential expression for selected immune related genes using quantitative PCR is underway and should help confirm immune regulatory pathways activated in lung defense against this infection.