NDLI: Comparison of phenotypic and genotypic taxonomic methods for the identification of dairy enterococci

Content Provider	Springer Nature Link
Author	Alves, Paula Isabel Martins, Maria Paula Semedo, Teresa Figueiredo Marques, José Joaquim Tenreiro, Rogério Barreto Crespo, Maria Teresa
Copyright Year	2004
Abstract	The purpose of the study was to assess the phenotypic and genotypic taxonomic congruence in order to allow species allocation of dairy enterococci. A total of 364 enterococci isolated from ewes'milk and cheese from four Portuguese Registered Designation of Origin areas and 25 type and reference strains of Enterococcus spp. were characterized by a polyphasic taxonomical approach involving 40 physiological and biochemical tests, whole-cell protein profiles, amplification of 16S-23S intergenic spacer regions (ITS-PCR) and subsequent restriction analysis (ARDRA). Ribotyping was also performed with reference strains and a subset of 146 isolates. Numerical hierarchic data analysis showed that single-technique identification levels increase from the physiological and biochemical tests to the protein approach, being lower with ITS/ARDRA and ribotyping. Cross-analysis confirmed a higher unmatching level in all pairwise combinations involving physiological and biochemical data. Whole-cell protein profiles followed by ITS/ARDRA identified 89% of the enterococci. Reliable identification of enterococci from milk and cheese could be obtained by analysis of whole-cell protein profiles. ITS-PCR can be used to confirm E. durans and E. faecium and ARDRA further confirms E. faecalis. Results revealed E. faecalis, E. durans, E. hirae and E. faecium as the prevalent species, although species prevalence showed some degree of variation among the areas.
Starting Page	237
Ending Page	252
Page Count	16
File Format	PDF
ISSN	00036072
Journal	Antonie van Leeuwenhoek
Volume Number	85
Issue Number	3
e-ISSN	15729699
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2004-01-01
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Medical Microbiology Food Science Plant Sciences Soil Science & Conservation
Content Type	Text
Resource Type	Article
Subject	Medicine Molecular Biology Microbiology

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