Application of anti-listerial bacteriocins: monitoring enterocin expression by multiplex relative reverse transcription-PCR

Williams, David R. and Chanos, P. (2012) Application of anti-listerial bacteriocins: monitoring enterocin expression by multiplex relative reverse transcription-PCR. Biochemical Society Transactions, 40 (6). pp. 1544-1548. ISSN 0300-5127

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Listeriosis is a deadly food-borne disease, and its incidence may be limited through the biotechnological exploitation of a number of anti-listerial biocontrol agents. The most widely used of these agents are bacteriocins and the Class II enterocins are characterized by their activity against Listeria. Enterocins are primarily produced by enterococci, particularly Enterococcus faecium and many strains have been described, often encoding multiple bacteriocins. The use of these strains in food will require that they are free of virulence functions and that they exhibit a high level expression of anti-listerial enterocins in fermentation conditions. Multiplex relative RT (reverse transcription)-PCR is a technique that is useful in the discovery of advantageous expression characteristics among enterocin-producing strains. It allows the levels of individual enterocin gene expression to be monitored and determination of how expression is altered under different growth conditions. ©The Authors Journal compilation ©2012 Biochemical Society.

Keywords:bacteriocin, enterocin, unclassified drug, bacterial strain, conference paper, Enterococcus faecium, fermentation, food, gene expression, Listeria, listeriosis, monitoring, nonhuman, priority journal, reverse transcription polymerase chain reaction, virulence, Anti-Bacterial Agents, Antibiosis, Bacteriocins, Batch Cell Culture Techniques, Food Microbiology, Foodborne Diseases, Humans, Multiplex Polymerase Chain Reaction, Reverse Transcriptase Polymerase Chain Reaction
Subjects:B Subjects allied to Medicine > B200 Pharmacology, Toxicology and Pharmacy
C Biological Sciences > C100 Biology
Divisions:College of Science > School of Life Sciences
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ID Code:10784
Deposited On:30 Jul 2013 14:18

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