Written by Zohreh Nasrabadi, Reza Ranjbar, Fatemeh Poorali, Meysam Sarshar
Parent Category: Year 2017, Volume 9
Category: Volume 9, Issue 5, May 2017
Background: Simultaneous and rapid detection of multiple foodborne bacterial pathogens is important for the prevention of foodborne illnesses.
Objective: The aim of this study was to evaluate the use of 16S rDNA and 23S rDNA sequences as targets for simultaneous detection of eight foodborne bacterial pathogens.
Methods: Nineteen bacterial oligonucleotide probes were synthesized and applied to nylon membranes. Digoxygenin labeled 16S rDNA and 23S rDNA from bacteria were amplified by PCR using universal primers, and the amplicons were hybridized to the membrane array. Hybridization signals were visualized by NBT/BCIP color development.
Results: The eight intestinal bacterial pathogens including Salmonella enterica, Escherichia coli, Bacillus cereus, Vibrio cholerae, Shigella dysenteriae, Staphylococcus aureus, Listeria monocytogenes, and Enterococcus faecalis were appropriately detected in a panel of oligonucleotide array hybridization. The experimental results showed that the method could discriminate the bacterial pathogens successfully. The sensitivity of oligonucleotide array was 103 CFU/ml.
Conclusion: This study showed that 16S rDNA and 23S rDNA genes had sufficient sequence diversity for species identification and were useful for monitoring the populations of foodborne pathogenic bacteria. Furthermore, results obtained in this study revealed that oligonucleotide array hybridization had a powerful capability to detect and identify the bacterial pathogens simultaneously.
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Keywords: Oligonucleotide array, foodborne pathogens, 16S rDNA and 23S rDNA, Hybridization
Volume 13, Issue 1, January-March 2021
The worldwide spread of COVID-19 as an emerging, rapidly evolving situation, and the dramatic need of urgent medicine or vaccine, has rapidly brought new hypotheses for pathophysiology and potential medicinal agents to the fore. It is crucial that the research community provide a way to publish this research in a timely manner.
To contribute to this important public health discussion, the Electronic Physician Journal is excited to announce a fast-track procedure to help researchers publish their articles on COVID-19 related subjects that fall under the broad definition of public health, internal medicine, and pharmacology. We are especially welcome to all hypotheses about the pathological basis of the COVID-19 infection and the possible characteristics of potential medicine and vaccine. Submit your manuscript here
The most recent editorial (June 2020)
Lessons from COVID-19 pandemic and the Morocco’s success story.
An editorial by Dr. Benksim Abdelhafid (Morocco)
The 6th World Conference on Research Integrity (WCRI) is to be held on June 2-5, 2019 in Hong Kong.
The WCRI is the largest and most significant international conference on research integrity. Since the first conference in Lisbon in 2007, it has given researchers, teachers, funding agencies, government officials, journal editors, senior administrators, and research students opportunities to share experiences and to discuss and promote integrity in research. Read more:
TDR Clinical Research and Development Fellowships
Call for applications
Deadline for submission: 7 March 2019, 16:00 (GMT)
TDR provides fellowships for early- to mid-career researchers and clinical trial staff (e.g. clinicians, pharmacists, medical statisticians, data managers, other health researchers) in low- and middle-income countries (LMICs) to learn how to conduct clinical trials. Read more:
Meta-Analysis Workshops in New York, USA, and London, UK, in April and May 2019
Don't miss this exceptional opportunity to learn how to perform and report a Meta-analysis correctly. Two Meta-analysis workshops are organized in April and May 2019 by Dr. Michael Borenstein in New York, USA (April 08-10, 2019) and London, UK (May 27-29).
About the Instructor
Dr. Michael Borenstein, one of the authors of Introduction to Meta-Analysis, is widely recognized for his ability to make statistical concepts accessible to researchers as well as to statisticians. He has lectured widely on meta-analysis, including at the NIH, CDC, and FDA. Read more: