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Title: Microarray based analysis of Inc A/C Plasmids in Multidrug resistant Salmonella enterica

Author
item Lindsey, Rebecca
item Cray, Paula
item Frye, Jonathan
item Welch, Timothy - Tim
item Meinersmann, Richard - Rick

Submitted to: USDA Annual Food Safety Research Planning Meeting
Publication Type: Abstract Only
Publication Acceptance Date: 2/16/2010
Publication Date: 2/16/2010
Citation: Lindsey, R.L., Cray, P.J., Frye, J.G., Welch, T.J., Meinersmann, R.J. 2010. Microarray based analysis of Inc A/C Plasmids in Multidrug resistant Salmonella enterica. USDA Annual Food Safety Research Planning Meeting. February 16-19, 2010. Shepherdstown, WV.

Interpretive Summary:

Technical Abstract: Bacteria plasmids are fragments of extra-chromosomal double stranded deoxyribonucleic acid (DNA) that can contain a variety of genes beneficial to the survival of the host bacteria. Classification and tracking of bacterial plasmids is valuable for the study of horizontal gene transfer of drug resistance. Plasmids can be classified according to incompatibility (Inc) types which are based on the inability of plasmids with the same replication mechanism to exist in the same cell. In Enterobacteriaceae there are 26 described Inc or replicon types. Certain replicon types such as Inc A/C are associated with multidrug resistance (MDR). We developed a hybridization microarray that contains 288 unique 70mer oligonucleotide probes based on sequence from five Inc A/C plasmids: pYR1 (Yersinia ruckeri str. YR71), pPIP1202 (Yersinia pestis biovar Orientalis str. IP275), pP990180 (Photobacterium damselae subsp. Piscicida), pSL254 (Salmonella enterica subsp. enterica serovar Newport str. SL254) and pP91278 (Photobacterium damselae subsp. Piscicida). DNA from a population of 59 Salmonella enterica isolates was hybridized to the microarray and analyzed for the presence/absence of genes. These isolates represented 17 serovars from 14 different host sources and were geographically discrete throughout the US. Qualitative cluster analysis was performed using Cluster 3.0 to group microarray hybridization results in Excel.