Abstract:
:The presence of any Listeria species in food may be an indicator of poor hygiene in food processing facilities. The biochemical identification of Listeria species is laborious and time consuming. Therefore, the development of novel identification methods that are rapid and simple to perform would be an asset. In this study, large intergenic spacer region amplicons of 343-374 bp were generated from 207 Listeria isolates. The melting curve analysis of these amplicons specifically classified all isolates into 6 Listeria species and generated 11 high-resolution melting (HRM) curve profiles. In this study, 3 HRM profiles were found in Listeria monocytogenes and Listeria innocua, and 2 were found in Listeria seeligeri. Sequencing of the amplicons representing these profiles revealed that each profile related to a unique sequence. The smallest difference recognized in this study was 1 nt. The results represented in this study show that HRM curve analysis of Listeria intergenic spacer sequences is a simple, quick, and reproducible method of simultaneously identifying 6 Listeria species and screening for variants. In particular, the completion of both reaction and analysis in a closed tube saves time by eliminating the separate steps and lowers the risk of contamination.
journal_name
Can J Microbioljournal_title
Canadian journal of microbiologyauthors
Wang J,Yamada S,Ohashi Edoi
10.1139/w10-054subject
Has Abstractpub_date
2010-08-01 00:00:00pages
676-82issue
8eissn
0008-4166issn
1480-3275pii
w10-054journal_volume
56pub_type
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journal_title:Canadian journal of microbiology
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