AI Article Synopsis
- The study aimed to develop a method for accurately detecting and identifying 11 major food-borne pathogens using comparative genomics to create specific oligonucleotide probes for microarray analysis.
- The microarray exhibited strong specificity, with clear hybridization patterns for each pathogen and minimal cross-hybridization with other bacteria.
- This technique offers a rapid detection method for food safety and can also support epidemiologic and taxonomic research in the food industry and biodefense.
Article Abstract
In order to design a method for the accurate detection and identification of food-borne pathogens, we used comparative genomics to select 70-mer oligonucleotide probes specific for 11 major food-borne pathogens (10 overlapping probes per pathogen) for use in microarray analysis. We analyzed the hybridization pattern of this constructed microarray with the Cy3-labeled genomic DNA of various food-borne pathogens and other bacteria. Our microarray showed a highly specific hybridization pattern with the genomic DNA of each food-borne pathogen; little unexpected cross-hybridization was observed. Microarray data were analyzed and clustered using the GenePix Pro 6.0 and GeneSpring GX 7.3.1 programs. The analyzed dendrogram revealed the discriminating power of constructed microarray. Each food-borne pathogen clustered according to its hybridization specificity and non-pathogenic species were discriminated from pathogenic species. Our method can be applied to the rapid and accurate detection and identification of food-borne pathogens in the food industry. In addition, this study demonstrates that genome sequence comparison and DNA microarray analysis have a powerful application in epidemiologic and taxonomic studies, as well as in the food safety and biodefense fields.
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| http://dx.doi.org/10.1016/j.bios.2008.03.019 | DOI Listing |
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