Literature DB >> 3988897

Rapid species identification of group C streptococci isolated from horses.

M F Bannister, C E Benson, C R Sweeney.   

Abstract

Two commercial systems, the API 20S (Analytab Products, Plainview, N.Y.) and the Rapid Strep (API System S.A., Montalieu-Vercieu, France), were evaluated for ease of use and accuracy in the rapid identification of group C streptococci isolated from horses. A total of 85 Streptococcus isolates were tested, including S. equi (67 isolates), S. zooepidemicus (13 isolates), and S. equisimilis (5 isolates). All S. equi and S. zooepidemicus isolates were correctly identified within 24 h by the Rapid Strep system. Specific grouping sera was necessary to distinguish between S. equisimilis and group G or L strains. The API 20S system did not provide species identification of any of these isolates. An identification of randomly selected isolates to species level was performed by conventional methods and confirmed the identification derived through the Rapid Strep system. Our results indicate that the Rapid Strep system is a valuable aid for species identification of equine isolates of group C streptococci.

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Year:  1985        PMID: 3988897      PMCID: PMC271711          DOI: 10.1128/jcm.21.4.524-526.1985

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


  4 in total

1.  The clinical aspects of streptococcic infections of horses.

Authors:  E H Fallon
Journal:  J Am Vet Med Assoc       Date:  1969-07-15       Impact factor: 1.936

2.  Comments on streptococcic infections.

Authors:  D L Proctor
Journal:  J Am Vet Med Assoc       Date:  1969-07-15       Impact factor: 1.936

3.  Evaluation of the API 20 Strep system for species identification of streptococci isolated from bovine mastitis.

Authors:  B Poutrel; H Z Ryniewicz
Journal:  J Clin Microbiol       Date:  1984-02       Impact factor: 5.948

4.  Evaluation of the Rapid Strep system for the identification of clinical isolates of Streptococcus species.

Authors:  R R Facklam; D L Rhoden; P B Smith
Journal:  J Clin Microbiol       Date:  1984-11       Impact factor: 5.948

  4 in total
  6 in total

Review 1.  Use of enzyme tests in characterization and identification of aerobic and facultatively anaerobic gram-positive cocci.

Authors:  S Bascomb; M Manafi
Journal:  Clin Microbiol Rev       Date:  1998-04       Impact factor: 26.132

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Authors:  T J Inzana; B Iritani
Journal:  J Clin Microbiol       Date:  1989-02       Impact factor: 5.948

Review 3.  Identification of veterinary pathogens by use of commercial identification systems and new trends in antimicrobial susceptibility testing of veterinary pathogens.

Authors:  J L Watts; R J Yancey
Journal:  Clin Microbiol Rev       Date:  1994-07       Impact factor: 26.132

4.  Detection of Streptococcus equi subspecies equi using a triplex qPCR assay.

Authors:  Katy Webb; Colin Barker; Tihana Harrison; Zoe Heather; Karen F Steward; Carl Robinson; J Richard Newton; Andrew S Waller
Journal:  Vet J       Date:  2012-08-10       Impact factor: 2.688

5.  Genomic evidence for the evolution of Streptococcus equi: host restriction, increased virulence, and genetic exchange with human pathogens.

Authors:  Matthew T G Holden; Zoe Heather; Romain Paillot; Karen F Steward; Katy Webb; Fern Ainslie; Thibaud Jourdan; Nathalie C Bason; Nancy E Holroyd; Karen Mungall; Michael A Quail; Mandy Sanders; Mark Simmonds; David Willey; Karen Brooks; David M Aanensen; Brian G Spratt; Keith A Jolley; Martin C J Maiden; Michael Kehoe; Neil Chanter; Stephen D Bentley; Carl Robinson; Duncan J Maskell; Julian Parkhill; Andrew S Waller
Journal:  PLoS Pathog       Date:  2009-03-27       Impact factor: 6.823

6.  Development of a loop-mediated isothermal amplification method for detecting Streptococcus equi subsp. zooepidemicus and analysis of its use with three simple methods of extracting DNA from equine respiratory tract specimens.

Authors:  Yuta Kinoshita; Hidekazu Niwa; Yoshinari Katayama
Journal:  J Vet Med Sci       Date:  2014-05-28       Impact factor: 1.267

  6 in total

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