Literature DB >> 9854094

Identification of Yersinia species by the Vitek GNI card.

H J Linde1, H Neubauer, H Meyer, S Aleksic, N Lehn.   

Abstract

The Vitek GNI card was used to identify 212 isolates of 10 Yersinia species. Identification was correct for 96.3% of the isolates (156 of 162) to the genus level and for 57.4% of the isolates (93 of 162) to the species level for Yersinia spp. listed in the Vitek database. We recommend additional identification methods for isolates assigned to the genus Yersinia by the Vitek system.

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Year:  1999        PMID： 9854094      PMCID： PMC84211     

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


  7 in total

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Journal:  FEMS Microbiol Lett       Date:  1993-12-01       Impact factor: 2.742

3.  Evaluation of Vitek GNI+ and Becton Dickinson Microbiology Systems Crystal E/NF identification systems for identification of members of the family Enterobacteriaceae and other gram-negative, glucose-fermenting and non-glucose-fermenting bacilli.

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Journal:  J Clin Microbiol       Date:  1997-12       Impact factor: 5.948

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Journal:  J Clin Microbiol       Date:  1990-06       Impact factor: 5.948

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Authors:  J R Archer; R F Schell; D R Pennell; P D Wick
Journal:  J Clin Microbiol       Date:  1987-12       Impact factor: 5.948

6.  Comparison of identifications of human and animal source gram-negative bacteria by API 20E and crystal E/NF systems.

Authors:  D Peele; J Bradfield; W Pryor; S Vore
Journal:  J Clin Microbiol       Date:  1997-01       Impact factor: 5.948

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Authors:  B L Dylla; E A Vetter; J G Hughes; F R Cockerill
Journal:  J Clin Microbiol       Date:  1995-01       Impact factor: 5.948
  7 in total
  5 in total

Review 1.  Current and developing technologies for monitoring agents of bioterrorism and biowarfare.

Authors:  Daniel V Lim; Joyce M Simpson; Elizabeth A Kearns; Marianne F Kramer
Journal:  Clin Microbiol Rev       Date:  2005-10       Impact factor: 26.132

Review 2.  Low occurrence of pathogenic Yersinia enterocolitica in clinical, food, and environmental samples: a methodological problem.

Authors:  Maria Fredriksson-Ahomaa; Hannu Korkeala
Journal:  Clin Microbiol Rev       Date:  2003-04       Impact factor: 26.132

3.  Simplified phenotypic scheme evaluated by 16S rRNA sequencing for differentiation between Yersinia enterocolitica and Y. enterocolitica-like species.

Authors:  Saija Hallanvuo; Joanna Peltola; Tarja Heiskanen; Anja Siitonen
Journal:  J Clin Microbiol       Date:  2006-03       Impact factor: 5.948

4.  Yersinia spp. Identification Using Copy Diversity in the Chromosomal 16S rRNA Gene Sequence.

Authors:  Huijing Hao; Junrong Liang; Ran Duan; Yuhuang Chen; Chang Liu; Yuchun Xiao; Xu Li; Mingming Su; Huaiqi Jing; Xin Wang
Journal:  PLoS One       Date:  2016-01-25       Impact factor: 3.240

5.  Genus-wide Yersinia core-genome multilocus sequence typing for species identification and strain characterization.

Authors:  Cyril Savin; Alexis Criscuolo; Julien Guglielmini; Anne-Sophie Le Guern; Elisabeth Carniel; Javier Pizarro-Cerdá; Sylvain Brisse
Journal:  Microb Genom       Date:  2019-09-30
  5 in total

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