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Int J Food Microbiol ; 124(2): 147-53, 2008 May 31.
Artículo en Inglés | MEDLINE | ID: mdl-18471918

RESUMEN

Bacteriophage infections of starter lactic acid bacteria (LAB) pose a serious risk to the dairy industry. Nowadays, the expanding use of valuable Lactobacillus strains as probiotic starters determines an increase in the frequency of specific bacteriophage infections in dairy plants. This work describes a simple and rapid Polymerase Chain Reaction (PCR) method that detects and identifies bacteriophages infecting Lactobacillus casei/paracasei, the main bacterial species used as probiotic. Based on a highly conserved region of the NTP-binding genes belonging to the replication module of L. casei phages phiA2 and phiAT3 (the only two whose genomes are completely sequenced), a pair of primers was designed to generate a specific fragment. Furthermore, this PCR detection method proved to be a useful tool for monitoring and identifying L. casei/paracasei phages in industrial samples since specific PCR signals were obtained from phage contaminated milk (detection limit: 10(4) PFU/mL milk) and other commercial samples (fermented milks and cheese whey) that include L. casei/paracasei as probiotic starter (detection limit: 10(6) PFU/mL fermented milk). Since this method can detect the above phages in industrial samples and can be easily incorporated into dairy industry routines, it might be readily used to earmark contaminated milk for use in processes that do not involve susceptible starter organisms, or processes which involve phage-deactivating conditions.


Asunto(s)
Bacteriófagos/aislamiento & purificación , Productos Lácteos/microbiología , Contaminación de Alimentos/análisis , Lacticaseibacillus casei/virología , Leche/virología , Reacción en Cadena de la Polimerasa/métodos , Animales , Bovinos , Recuento de Colonia Microbiana , Seguridad de Productos para el Consumidor , ADN Bacteriano/química , ADN Bacteriano/genética , Humanos , Leche/microbiología , Datos de Secuencia Molecular , Probióticos , Medición de Riesgo , Sensibilidad y Especificidad , Alineación de Secuencia
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