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A High-throughput Platform for the Screening of Salmonella spp./Shigella spp.
Published on: November 7, 2018
DNA microarray for molecular epidemiology of Salmonella
Stephan Huehn1, Burkhard Malorny
1Federal Institute for Risk Assessment, National Salmonella Reference Laboratory, Berlin, Germany.
Methods in Molecular Biology (Clifton, N.J.)
|June 13, 2009
Summary
A new DNA microarray aids in studying Salmonella enterica subsp. enterica epidemiology by analyzing genetic traits. This tool helps understand pathogen variations and their role in Salmonella infections.
Area of Science:
- Microbiology
- Genomics
- Epidemiology
Background:
- Salmonellosis is a significant global health concern, causing millions of infections and deaths annually.
- Disease presentation varies, including enteric fever, gastroenteritis, and bacteremia, influenced by host and pathogen genetics.
- Specific Salmonella types are recognized as key drivers in Salmonella epidemiology.
Purpose of the Study:
- To develop and describe a DNA microarray for genotypic analysis of Salmonella enterica subsp. enterica isolates.
- To enable detailed epidemiological studies of Salmonella at the genetic level.
Main Methods:
- A DNA microarray was designed with 282 sixty-mer oligonucleotide probes.
- Probes target genes related to pathogenicity, antibiotic resistance, virulence factors (fimbriae, flagella, lipopolysaccharides), prophages, and mobile genetic elements.
- Whole-genome fluorescent-labeled Salmonella DNA is hybridized to the microarray for analysis.
Main Results:
- The microarray facilitates the detection of genotypic characteristics of Salmonella isolates.
- It allows for the simultaneous examination of multiple genetic markers crucial for Salmonella typing and epidemiology.
- Quality assurance controls are integrated into the microarray design.
Conclusions:
- The developed DNA microarray is a valuable tool for high-throughput genotypic characterization of Salmonella.
- This approach enhances the study of Salmonella epidemiology, aiding in understanding pathogen diversity and disease dynamics.
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