Literature DB >> 23313851

Development of a random genomic DNA microarray for the detection and identification of Listeria monocytogenes in milk.

Jihyun Bang1, Larry R Beuchat, Han Song, Man Bock Gu, Hyo-Ihl Chang, Heenam Stanley Kim, Jee-Hoon Ryu.   

Abstract

We developed a DNA microarray that contains random genomic DNA fragments of Listeria monocytogenes, validated its diagnostic abilities using cells grown in laboratory media and milk, and established enrichment conditions for detection of a low population of L. monocytogenes in milk. Genomic DNA of L. monocytogenes strain ATCC 19111 was fractionated by agarose gel electrophoresis after being cleaved using several different pairs of restriction enzymes. Sixty DNA fragments of different sizes were randomly selected and spotted onto an amine-coated glass slide. To validate diagnostic ability, probes on the DNA microarray were hybridized with genomic DNA extracted from L. monocytogenes, other Listeria spp., and foodborne pathogenic bacteria belonging to other genera grown in laboratory media. The DNA microarray showed 98-100% positive hybridization signals for the 16 strains of L. monocytogenes tested, 7-85% positive signals for 9 strains of other Listeria spp., and 0-32% positive signals for 13 strains of other types of foodborne pathogens. In milk, the detection limit of the DNA microarray was approximately 8 log CFU/mL. When milk contained L. monocytogenes (3-4 log CFU/mL) with other types of bacteria (Bacillus spp., B. cereus, Salmonella Montevideo, Peudomonas aeruginosa, and Yersinia enterocolitica; ca. 3 log CFU/mL each), L. monocytogenes enriched in UVM modified Listeria enrichment broth at 37°C for 24h was successfully detected by the DNA microarray. Results indicate that the DNA microarray can detect L. monocytogenes and distinguish it from other Listeria spp. and other foodborne pathogens in laboratory media and milk. This platform will be useful when developing a DNA microarray to rapidly and simultaneously detect and identify various foodborne pathogens in foods.
Copyright © 2012 Elsevier B.V. All rights reserved.

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Year:  2012        PMID: 23313851     DOI: 10.1016/j.ijfoodmicro.2012.11.023

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  6 in total

Review 1.  Advantages and limitations of potential methods for the analysis of bacteria in milk: a review.

Authors:  Frederick Tawi Tabit
Journal:  J Food Sci Technol       Date:  2015-08-19       Impact factor: 2.701

2.  Fundamentals of Biosensors and Detection Methods.

Authors:  Marília Barreiros Dos Santos; Laura Rodriguez-Lorenzo; Raquel Queirós; Begoña Espiña
Journal:  Adv Exp Med Biol       Date:  2022       Impact factor: 3.650

3.  Phage display-derived binders able to distinguish Listeria monocytogenes from other Listeria species.

Authors:  Josephine Morton; Nitsara Karoonuthaisiri; Ratthaphol Charlermroj; Linda D Stewart; Christopher T Elliott; Irene R Grant
Journal:  PLoS One       Date:  2013-09-10       Impact factor: 3.240

Review 4.  Rapid methods for the detection of foodborne bacterial pathogens: principles, applications, advantages and limitations.

Authors:  Jodi Woan-Fei Law; Nurul-Syakima Ab Mutalib; Kok-Gan Chan; Learn-Han Lee
Journal:  Front Microbiol       Date:  2015-01-12       Impact factor: 5.640

Review 5.  Listeria monocytogenes in foods-From culture identification to whole-genome characteristics.

Authors:  Jacek Osek; Beata Lachtara; Kinga Wieczorek
Journal:  Food Sci Nutr       Date:  2022-05-03       Impact factor: 3.553

Review 6.  An insight into the isolation, enumeration, and molecular detection of Listeria monocytogenes in food.

Authors:  Jodi Woan-Fei Law; Nurul-Syakima Ab Mutalib; Kok-Gan Chan; Learn-Han Lee
Journal:  Front Microbiol       Date:  2015-11-03       Impact factor: 5.640

  6 in total

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