Pasteurella multocida is a gram–negative bacterial pathogen that has a unique history of serving as a model species for new discoveries. Our network analysis demonstrates the feasibility and limitations of applying systems modeling to high throughput datasets in 'non-model' bacteria. multocida virulence factors establish the molecular basis for the therapeutic efficacy of sub-MICs. The observed changes in gene expression of known and putative P. We identified common adaptive responses of P. multocida to sub-lethal concentrations of three different classes of antibiotics. This is the first report of the transcriptional response of an avian strain of P. multocida in response to the antibiotics. Network analysis identified differences in the SOS response of P. The overall transcription signatures of the three antibiotics differed at the COG level of the analysis. Some DE genes identified were common to more than one antibiotic. The three antibiotics used in this study, amoxicillin, chlortetracycline, and enrofloxacin, collectively influenced transcription of 25% of the P. Biological modeling of the differentially expressed genes (DE) was conducted based on Clusters of Orthologous (COG) groups and network analysis in Pathway Studio. Differentially expressed (DE) genes were identified by ANOVA and Dunnett's test. Hybridizations were conducted with RNA isolated from three independent cultures of Pm70 grown in the presence or absence of sub-minimum inhibitory concentration (sub-MIC) of antibiotics. multocida transcriptome using custom oligonucleotide microarrays from NimbleGen Systems. We studied the effects of three classes of antibiotics on the P. multocida isolate Pm70 enables the application of functional genomics for observing global gene expression in response to a given stimulus. The availability of the genome sequence of avian P. One of the diseases it causes is fowl cholera in poultry. Pasteurella multocida is a gram-negative bacterial pathogen that has a broad host range.
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