Literature DB >> 15528685

Development and evaluation of a quality-controlled ribosomal sequence database for 16S ribosomal DNA-based identification of Staphylococcus species.

Karsten Becker1, Dag Harmsen, Alexander Mellmann, Christian Meier, Peter Schumann, Georg Peters, Christof von Eiff.   

Abstract

To establish an improved ribosomal gene sequence database as part of the Ribosomal Differentiation of Microorganisms (RIDOM) project and to overcome the drawbacks of phenotypic identification systems and publicly accessible sequence databases, both strands of the 5' end of the 16S ribosomal DNA (rDNA) of 81 type and reference strains comprising all validly described staphylococcal (sub)species were sequenced. Assuming a normal distribution for pairwise distances of all unique staphylococcal sequences and choosing a reporting criterion of > or =98.7% similarity for a "distinct species," a statistical error probability of 1.0% was calculated. To evaluate this database, a 16S rDNA fragment (corresponding to Escherichia coli positions 54 to 510) of 55 clinical Staphylococcus isolates (including those of the small-colony variant phenotype) were sequenced and analyzed by the RIDOM approach. Of these isolates, 54 (98.2%) had a similarity score above the proposed threshold using RIDOM; 48 (87.3%) of the sequences gave a perfect match, whereas 83.6% were found by searching National Center for Biotechnology Information (NCBI) database entries. In contrast to RIDOM, which showed four ambiguities at the species level (mainly concerning Staphylococcus intermedius versus Staphylococcus delphini), the NCBI database search yielded 18 taxon-related ambiguities and showed numerous matches exhibiting redundant or unspecified entries. Comparing molecular results with those of biochemical procedures, ID 32 Staph (bioMerieux, Marcy I'Etoile, France) and VITEK 2 (bioMerieux) failed to identify 13 (23.6%) and 19 (34.5%) isolates, respectively, due to incorrect identification and/or categorization below acceptable values. In contrast to phenotypic methods and the NCBI database, the novel high-quality RIDOM sequence database provides excellent identification of staphylococci, including rarely isolated species and phenotypic variants.

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Year:  2004        PMID: 15528685      PMCID: PMC525259          DOI: 10.1128/JCM.42.11.4988-4995.2004

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


  35 in total

1.  Rapid and accurate species-level identification of coagulase-negative staphylococci by using the sodA gene as a target.

Authors:  C Poyart; G Quesne; C Boumaila; P Trieu-Cuot
Journal:  J Clin Microbiol       Date:  2001-12       Impact factor: 5.948

2.  RIDOM: Ribosomal Differentiation of Medical Micro-organisms Database.

Authors:  Dag Harmsen; Jörg Rothgänger; Matthias Frosch; Jürgen Albert
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

Review 3.  Pathogenesis of infections due to coagulase-negative staphylococci.

Authors:  Christof von Eiff; Georg Peters; Christine Heilmann
Journal:  Lancet Infect Dis       Date:  2002-11       Impact factor: 25.071

4.  Prevalence of genes encoding pyrogenic toxin superantigens and exfoliative toxins among strains of Staphylococcus aureus isolated from blood and nasal specimens.

Authors:  Karsten Becker; Alexander W Friedrich; Gabriele Lubritz; Maria Weilert; Georg Peters; Christof Von Eiff
Journal:  J Clin Microbiol       Date:  2003-04       Impact factor: 5.948

Review 5.  Endocarditis caused by Staphylococcus lugdunensis.

Authors:  Rebecca May Jones; Mary Anne Jackson; Catherine Ong; Gary K Lofland
Journal:  Pediatr Infect Dis J       Date:  2002-03       Impact factor: 2.129

6.  Ornithinicoccus hortensis gen. nov., sp. nov., a soil actinomycete which contains L-ornithine.

Authors:  I Groth; P Schumann; K Martin; B Schuetze; K Augsten; I Kramer; E Stackebrandt
Journal:  Int J Syst Bacteriol       Date:  1999-10

7.  Staphylococcus pulvereri = Staphylococcus vitulus?

Authors:  P Petrás
Journal:  Int J Syst Bacteriol       Date:  1998-04

8.  Staphylococcus succinus subsp. casei subsp. nov., a dominant isolate from a surface ripened cheese.

Authors:  Raymond B E Place; Daniel Hiestand; Sandra Burri; Michael Teuber
Journal:  Syst Appl Microbiol       Date:  2002-10       Impact factor: 4.022

9.  "Staphylococcus pettenkoferi," a novel staphylococcal species isolated from clinical specimens.

Authors:  Konrad Trülzsch; Heinz Rinder; Janja Trcek; Lutz Bader; Ulrike Wilhelm; Jürgen Heesemann
Journal:  Diagn Microbiol Infect Dis       Date:  2002-07       Impact factor: 2.803

10.  Staphylococcus equorum subsp. linens, subsp. nov., a starter culture component for surface ripened semi-hard cheeses.

Authors:  Raymond B Place; Daniel Hiestand; Hans Rudolf Gallmann; Michael Teuber
Journal:  Syst Appl Microbiol       Date:  2003-03       Impact factor: 4.022

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  62 in total

1.  Comparative study using phenotypic, genotypic, and proteomics methods for identification of coagulase-negative staphylococci.

Authors:  Anne J M Loonen; Arjan R Jansz; Jeandery N B Bergland; Marion Valkenburg; Petra F G Wolffs; Adriaan J C van den Brule
Journal:  J Clin Microbiol       Date:  2012-01-11       Impact factor: 5.948

2.  Tuf gene sequence analysis has greater discriminatory power than 16S rRNA sequence analysis in identification of clinical isolates of coagulase-negative staphylococci.

Authors:  Sang Mee Hwang; Myoung Shin Kim; Kyoung Un Park; Junghan Song; Eui-Chong Kim
Journal:  J Clin Microbiol       Date:  2011-10-12       Impact factor: 5.948

3.  Species identification of staphylococci by amplification and sequencing of the tuf gene compared to the gap gene and by matrix-assisted laser desorption ionization time-of-flight mass spectrometry.

Authors:  M Bergeron; O Dauwalder; M Gouy; A-M Freydiere; M Bes; H Meugnier; Y Benito; J Etienne; G Lina; F Vandenesch; S Boisset
Journal:  Eur J Clin Microbiol Infect Dis       Date:  2010-10-22       Impact factor: 3.267

4.  Does nasal cocolonization by methicillin-resistant coagulase-negative staphylococci and methicillin-susceptible Staphylococcus aureus strains occur frequently enough to represent a risk of false-positive methicillin-resistant S. aureus determinations by molecular methods?

Authors:  Karsten Becker; Isabelle Pagnier; Brigitte Schuhen; Frauke Wenzelburger; Alexander W Friedrich; Frank Kipp; Georg Peters; Christof von Eiff
Journal:  J Clin Microbiol       Date:  2006-01       Impact factor: 5.948

5.  Comparative in vitro activity of ceftobiprole against staphylococci displaying normal and small-colony variant phenotypes.

Authors:  Christof von Eiff; Alexander W Friedrich; Karsten Becker; Georg Peters
Journal:  Antimicrob Agents Chemother       Date:  2005-10       Impact factor: 5.191

6.  Development of a new oligonucleotide array to identify staphylococcal strains at species level.

Authors:  Philippe Giammarinaro; Sabine Leroy; Jean-Paul Chacornac; Julien Delmas; Regine Talon
Journal:  J Clin Microbiol       Date:  2005-08       Impact factor: 5.948

7.  Application of SmartGene IDNS software to partial 16S rRNA gene sequences for a diverse group of bacteria in a clinical laboratory.

Authors:  Keith E Simmon; Ann C Croft; Cathy A Petti
Journal:  J Clin Microbiol       Date:  2006-10-18       Impact factor: 5.948

8.  First case of osteomyelitis caused by "Staphylococcus pettenkoferi".

Authors:  Caroline Loïez; Frédéric Wallet; Patricia Pischedda; Emilie Renaux; Eric Senneville; Nazim Mehdi; René J Courcol
Journal:  J Clin Microbiol       Date:  2007-01-03       Impact factor: 5.948

9.  Identification of pathogenic Nocardia species by reverse line blot hybridization targeting the 16S rRNA and 16S-23S rRNA gene spacer regions.

Authors:  Meng Xiao; Fanrong Kong; Tania C Sorrell; Yongyan Cao; Ok Cha Lee; Ying Liu; Vitali Sintchenko; Sharon C A Chen
Journal:  J Clin Microbiol       Date:  2009-12-02       Impact factor: 5.948

10.  Detection of mecA- and mecC-Positive Methicillin-Resistant Staphylococcus aureus (MRSA) Isolates by the New Xpert MRSA Gen 3 PCR Assay.

Authors:  Karsten Becker; Olivier Denis; Sandrine Roisin; Alexander Mellmann; Evgeny A Idelevich; Dennis Knaack; Sarah van Alen; André Kriegeskorte; Robin Köck; Frieder Schaumburg; Georg Peters; Britta Ballhausen
Journal:  J Clin Microbiol       Date:  2015-10-21       Impact factor: 5.948

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