Literature DB >> 17492283

Development and application of an oligonucleotide microarray for the detection of food-borne bacterial pathogens.

Xin-Wei Wang1, Liang Zhang, Lian-Qun Jin, Min Jin, Zhi-Qiang Shen, Shuang An, Fu-Huan Chao, Jun-Wen Li.   

Abstract

The rapid and accurate detection and identification of food-borne pathogenic bacteria is critical for food safety. In this paper, we describe a rapid (<4 h) high-throughput detection and identification system that uses universal polymerase chain reaction (PCR) primers to amplify a variable region of bacterial the 16S rRNA gene, followed by reverse hybridization of the products to species-specific oligonucleotide probes on a chip. This procedure was successful in discriminating 204 strains of bacteria from pure culture belonging to 13 genera of bacteria. When this method was applied directly to 115 strains of bacteria isolated from foods, 112/115 (97.4%) were correctly identified; two strains were indistinguishable due to weak signal, while one failed to produce a PCR product. The array was used to detect and successfully identify two strains of bacteria from food poisoning outbreak samples, giving results through hybridization that were identical to those obtained by traditional methods. The sensitivity of the microarray assay was 10(2) CFU of bacteria. Thus, the oligonucleotide microarray is a powerful tool for the detection and identification of pathogens from foods.

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Year:  2007        PMID: 17492283     DOI: 10.1007/s00253-007-0993-x

Source DB:  PubMed          Journal:  Appl Microbiol Biotechnol        ISSN: 0175-7598            Impact factor:   4.813


  17 in total

1.  Detection of representative enteropathogenic bacteria, Vibrio spp., pathogenic Escherichia coli, Salmonella spp., Shigella spp., and Yersinia enterocolitica, using a virulence factor gene-based oligonucleotide microarray.

Authors:  Dong-Hun Kim; Bok-Kwon Lee; Yong-Dae Kim; Sung-Keun Rhee; Young-Chang Kim
Journal:  J Microbiol       Date:  2010-11-03       Impact factor: 3.422

2.  Potentials and limitations of molecular diagnostic methods in food safety.

Authors:  Andrea Lauri; Paola O Mariani
Journal:  Genes Nutr       Date:  2008-12-07       Impact factor: 5.523

3.  Food microbial pathogen detection and analysis using DNA microarray technologies.

Authors:  Avraham Rasooly; Keith E Herold
Journal:  Foodborne Pathog Dis       Date:  2008-08       Impact factor: 3.171

4.  Detection of Enterobacter sakazakii and other pathogens associated with infant formula powder by use of a DNA microarray.

Authors:  Min Wang; Boyang Cao; Qili Gao; Yamin Sun; Pei Liu; Lu Feng; Lei Wang
Journal:  J Clin Microbiol       Date:  2009-07-29       Impact factor: 5.948

5.  Development of a DNA macroarray for simultaneous detection of multiple foodborne pathogenic bacteria in fresh chicken meat.

Authors:  Chanida Kupradit; Sureelak Rodtong; Mariena Ketudat-Cairns
Journal:  World J Microbiol Biotechnol       Date:  2013-06-11       Impact factor: 3.312

6.  A microbial detection array (MDA) for viral and bacterial detection.

Authors:  Shea N Gardner; Crystal J Jaing; Kevin S McLoughlin; Tom R Slezak
Journal:  BMC Genomics       Date:  2010-11-25       Impact factor: 3.969

Review 7.  Fluorescence-based bioassays for the detection and evaluation of food materials.

Authors:  Kentaro Nishi; Shin-Ichiro Isobe; Yun Zhu; Ryoiti Kiyama
Journal:  Sensors (Basel)       Date:  2015-10-13       Impact factor: 3.576

8.  ORMA: a tool for identification of species-specific variations in 16S rRNA gene and oligonucleotides design.

Authors:  Marco Severgnini; Paola Cremonesi; Clarissa Consolandi; Giada Caredda; Gianluca De Bellis; Bianca Castiglioni
Journal:  Nucleic Acids Res       Date:  2009-06-16       Impact factor: 16.971

9.  A New Generation Microarray for the Simultaneous Detection and Identification of Yersinia pestis and Bacillus anthracis in Food.

Authors:  Noriko Goji; Trevor Macmillan; Kingsley Kwaku Amoako
Journal:  J Pathog       Date:  2012-10-18

10.  Detection of food spoilage and pathogenic bacteria based on ligation detection reaction coupled to flow-through hybridization on membranes.

Authors:  K Böhme; P Cremonesi; M Severgnini; Tomás G Villa; I C Fernández-No; J Barros-Velázquez; B Castiglioni; P Calo-Mata
Journal:  Biomed Res Int       Date:  2014-04-10       Impact factor: 3.411

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