Listeria monocytogenes is recognised as a public health issue and a serious challenge for the food industry. L. monocytogenes strain characterisation on the basis of serotyping and molecular typing methods is used for surveillance, epidemiological tracking and outbreak investigation purposes. Genetic variants of L. monocytogenes have diversified into four major phylogenetic lineages, with lineages 1 and 2 each containing multiple clonal groups of public health importance. Standardised tools for easy identification of clonal groups are needed to trace such groups and determine their presence in a large variety of sources. Given the current limitations of available methods for L. monocytogenes strain typing, a potentially useful approach is multiple locus variable number of tandem repeats (VNTR) analysis (MLVA). In this study, MLVA has been applied to a random group of 82 L. monocytogenes strains isolated from 8 different batches of loin chops obtained from the same facility and tested between packaging and consumption time. The strains typed were classified into 10 MLVA profiles containing a number of isolates ranging between 1 to 20. According to the identified MLVA profiles, 75.6% of the pork isolates belonged to the phylogenetic lineage 2 and serotype 1/2c, frequently associated to food isolates. However, 3 pork strains belonged to the phylogenetic lineage 1 and serotype 4b. Moreover, 17 isolates were classified in the phylogenetic lineages 2 and serotype 1/2a. Both serotypes 4b and 1/2a are frequently associated to human isolates of L. monocytogenes. These preliminary results show how the MLVA profiles can support the assessment of the risk profile of food products based on the contaminating L. monocytogenes strain types.
De Cesare, A., Parisi, A., Caruso, M., Pasquali, F., Manfreda, G. (2014). Preliminary investigation on multiple-locus variable number tandem repeat analysis profiles of Listeria monocytogenes isolates from pork meat tested from packaging to fork. ITALIAN JOURNAL OF FOOD SAFETY, 3(1), 6-8 [10.4081/ijfs.2014.1660].
Preliminary investigation on multiple-locus variable number tandem repeat analysis profiles of Listeria monocytogenes isolates from pork meat tested from packaging to fork
De Cesare, Alessandra;Pasquali, Frédérique;Manfreda, Gerardo
2014
Abstract
Listeria monocytogenes is recognised as a public health issue and a serious challenge for the food industry. L. monocytogenes strain characterisation on the basis of serotyping and molecular typing methods is used for surveillance, epidemiological tracking and outbreak investigation purposes. Genetic variants of L. monocytogenes have diversified into four major phylogenetic lineages, with lineages 1 and 2 each containing multiple clonal groups of public health importance. Standardised tools for easy identification of clonal groups are needed to trace such groups and determine their presence in a large variety of sources. Given the current limitations of available methods for L. monocytogenes strain typing, a potentially useful approach is multiple locus variable number of tandem repeats (VNTR) analysis (MLVA). In this study, MLVA has been applied to a random group of 82 L. monocytogenes strains isolated from 8 different batches of loin chops obtained from the same facility and tested between packaging and consumption time. The strains typed were classified into 10 MLVA profiles containing a number of isolates ranging between 1 to 20. According to the identified MLVA profiles, 75.6% of the pork isolates belonged to the phylogenetic lineage 2 and serotype 1/2c, frequently associated to food isolates. However, 3 pork strains belonged to the phylogenetic lineage 1 and serotype 4b. Moreover, 17 isolates were classified in the phylogenetic lineages 2 and serotype 1/2a. Both serotypes 4b and 1/2a are frequently associated to human isolates of L. monocytogenes. These preliminary results show how the MLVA profiles can support the assessment of the risk profile of food products based on the contaminating L. monocytogenes strain types.File | Dimensione | Formato | |
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