DNA Microarray for Rapid Detection and Identification of Food and Water Borne Bacteria: From Dry to Wet Lab



Reza Ranjbar1, Payam Behzadi2, *, Ali Najafi1, Raheleh Roudi3
1 Molecular Biology Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
2 Department of Microbiology, College of Basic Sciences, Shahr-e-Qods Branch, Islamic Azad University, Tehran, Iran
3 Oncopathology Research Center, Iran University of Medical Sciences, Tehran, Iran


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© 2017 Ranjbar et al.

open-access license: This is an open access article distributed under the terms of the Creative Commons Attribution 4.0 International Public License (CC-BY 4.0), a copy of which is available at: https://creativecommons.org/licenses/by/4.0/legalcode. This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

* Address correspondence to this author at the Department of Microbiology, College of Basic Sciences, Shahr-e-Qods Branch, Islamic Azad University, Fath Highway, Shahr-e-Qods, End of Shahid Kalhor Blvd, Post Box: 37541-374, Tehran-Iran; Tel: +98-912-4799734; E-mail: behzadipayam@yahoo.com


Abstract

Background:

A rapid, accurate, flexible and reliable diagnostic method may significantly decrease the costs of diagnosis and treatment. Designing an appropriate microarray chip reduces noises and probable biases in the final result.

Objective:

The aim of this study was to design and construct a DNA Microarray Chip for a rapid detection and identification of 10 important bacterial agents.

Method:

In the present survey, 10 unique genomic regions relating to 10 pathogenic bacterial agents including Escherichia coli (E.coli), Shigella boydii, Sh.dysenteriae, Sh.flexneri, Sh.sonnei, Salmonella typhi, S.typhimurium, Brucella sp., Legionella pneumophila, and Vibrio cholera were selected for designing specific long oligo microarray probes. For this reason, the in-silico operations including utilization of the NCBI RefSeq database, Servers of PanSeq and Gview, AlleleID 7.7 and Oligo Analyzer 3.1 was done. On the other hand, the in-vitro part of the study comprised stages of robotic microarray chip probe spotting, bacterial DNAs extraction and DNA labeling, hybridization and microarray chip scanning. In wet lab section, different tools and apparatus such as Nexterion® Slide E, Qarraymini spotter, NimbleGen kit, TrayMixTM S4, and Innoscan 710 were used.

Results:

A DNA microarray chip including 10 long oligo microarray probes was designed and constructed for detection and identification of 10 pathogenic bacteria.

Conclusion:

The DNA microarray chip was capable to identify all 10 bacterial agents tested simultaneously. The presence of a professional bioinformatician as a probe designer is needed to design appropriate multifunctional microarray probes to increase the accuracy of the outcomes.

Keywords: DNA Microarrays, DNA Microchips, Bioinformatics, DNA Probes, Bacteria.