Microarray analysis of virulence gene profiles in Salmonella serovars from food/food animal environment

Wen Zou, Sufian F. Al‐Khaldi, William S. Branham, Tao Han, James C. Fuscoe, Jing Han, Steven L. Foley, Joshua Xu, Hong Fang, Carl E. Cerniglia,

The Journal of Infection in Developing Countries · 2010 · 54 citations · 21 references

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Abstract

INTRODUCTION: Rapid, accurate and inexpensive analysis of the disease-causing potential of foodborne pathogens is an important consideration in food safety and biodefense, particularly in developing countries. The objective of this study is to demonstrate the use of a robust and inexpensive microarray platform to assay the virulence gene profiles in Salmonella from food and/or the food animal environment, and then use ArrayTrack™ for data analysis. METHODOLOGY: The spotted array consisted of 69 selected Salmonella-specific virulence gene probes (65bp each). These probes were printed on poly-L-lysine-coated slides. Genomic DNA was digested with Sau3AI, labeled with Cy3 dye, hybridized to the gene probes, and the images were captured and analyzed by GenePix 4000B and ArrayTrack™, a free software developed by Food and Drug Administration (FDA) researchers. RESULTS: Nearly 58% of the virulence-associated genes tested were present in all Salmonella strains tested. In general, genes belonging to inv, pip, prg, sic, sip, spa or ttr families were detected in more than 90% of the isolates, while the iacP, avrA, invH, rhuM, sirA, sopB, sopE or sugR genes were detected in 40 to 80% of the isolates. The gene variability was independent of the Salmonella serotype. CONCLUSIONS: This hybridization array presents an accurate and cost-effective method for evaluating the disease-causing potential of Salmonella in outbreak investigations by targeting a selective set of Salmonella-associated virulence genes.

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