Evidence map›Paper›PMID 19193846›Full record

ArticleJournal of clinical microbiology2009

Identification of clinically relevant nonhemolytic Streptococci on the basis of sequence analysis of 16S-23S intergenic spacer region and partial gdh gene.

Xiaohui Chen Nielsen, Ulrik Stenz Justesen, Rimtas Dargis, Michael Kemp, Jens Jørgen Christensen

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.9field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 39 citations in OpenAlex.

  1. Identification of Clinically RelevantPathogens (Basel, Switzerland) · 2020
    Article
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  4. Current Challenges ofMolecules and cells · 2018
    Review
  5. Whole genome sequencing as a tool for phylogenetic analysis of clinical strains of Mitis group streptococci.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2016
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Xiaohui Chen NielsenDepartment of Bacteriology, Mycology and Parasitology, Statens Serum Institut, Artillerivej 5, Copenhagen, Denmark.
Ulrik Stenz Justesen
Rimtas Dargis
Michael Kemp
Jens Jørgen Christensen
Statens Serum Institut · DKOdense University Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nonhemolytic streptococci (NHS) cause serious infections, such as endocarditis and septicemia. Many conventional phenotypic methods are insufficient for the identification of bacteria in this group to the species level. Genetic analysis has revealed that single-gene analysis is insufficient for the identification of all species in this group of bacteria. The aim of the present study was to establish a method based on sequence analysis of the 16S-23S intergenic spacer (ITS) region and the partial gdh gene to identify clinical relevant NHS to the species level. Sequence analysis of the ITS region was performed with 57 NHS reference or clinical strains. Satisfactory identification to the species level was achieved for 14/19 NHS species included in this study on the basis of sequence analysis of the ITS region. Streptococcus salivarius and Streptococcus vestibularis obtained the expected taxon as the best taxon match, but there was a short maximum score distance to the next best match (distance, <10). Streptococcus mitis, Streptococcus oralis, and Streptococcus pneumoniae could not be unambiguously discriminated by sequence analysis of the ITS region, as was also proven by phylogenetic analysis. These five species could be identified to the group level only by ITS sequence analysis. Partial gdh sequence analysis was applied to the 11 S. oralis strains, the 11 S. mitis strains, and the 17 S. pneumoniae strains. All except one strain achieved a satisfactory identification to the species level. A phylogenetic algorithm based on the analysis of partial gdh gene sequences revealed three distinct clusters. We suggest that sequence analysis of the combination of the ITS region and the partial gdh gene can be used in the reference laboratory for the species-level identification of NHS.

Indexed as

Sequence Analysis, DNABacterial ProteinsCluster AnalysisDNA, BacterialDNA, Ribosomal SpacerGenotypeHumansMolecular Sequence DataPhylogenyStreptococcal InfectionsStreptococcusSugar Alcohol DehydrogenasesBacterial ProteinsDNA, BacterialDNA, Ribosomal SpacerSugar Alcohol Dehydrogenases

Identifiers

PMID19193846
PMCPMC2668326
OpenAlexW2137779821

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.