Literature DB >> 1662932

Comparison of methods for discrimination between strains of Listeria monocytogenes from epidemiological surveys.

A O Baloga1, S K Harlander.   

Abstract

Total cellular DNA from 28 strains of Listeria monocytogenes isolated from food implicated in food-borne illness and from patients with listeriosis was digested with the restriction endonucleases HindIII, HaeIII, and EcoRI. Following agarose gel electrophoresis, the fragments were subjected to Southern blot hybridization with a digoxigenin-labeled cDNA probe transcribed from Escherichia coli 16S and 23S rRNA. The patterns of bands from genomic (DNA fingerprints) and rDNA fingerprints (ribotypes) were used for classifying L. monocytogenes strains, and the resulting subtypes were compared with serotyping and multilocus enzyme electrophoresis classification schemes. A total of 15 distinct and identical groups were obtained when genomic DNA was digested with either HindIII or HaeIII. The most discriminating enzyme for ribotyping of strains was EcoRI, which divided the 28 strains of L. monocytogenes into 6 ribotype groups. DNA fingerprinting and ribotyping differentiated L. monocytogenes from other Listeria spp., including L. ivanovii, L. welshimeri, and L. innocua as well as the lactic acid bacteria Lactococcus lactis subsp. lactis and subsp. cremoris. L. monocytogenes strains isolated from four independent food-borne illness incidents were analyzed by all typing methods. Patient and product isolates were not distinguishable by serotyping, ribotyping, or multilocus enzyme electrophoresis. DNA fingerprinting was the only method capable of differentiating these strains, or conversely, of proving relatedness of patient-product pairs of isolates. This method was a relatively simple, sensitive, reproducible, and highly discriminating method for epidemiological tracking of L. monocytogenes implicated in food-borne illness.

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Year:  1991        PMID: 1662932      PMCID: PMC183571          DOI: 10.1128/aem.57.8.2324-2331.1991

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


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