Evidence map›Paper›PMID 17439656›Full record

ArticleBMC evolutionary biology2007

The taxonomy of Enterobacter sakazakii: proposal of a new genus Cronobacter gen. nov. and descriptions of Cronobacter sakazakii comb. nov. Cronobacter sakazakii subsp. sakazakii, comb. nov., Cronobacter sakazakii subsp. malonaticus subsp. nov., Cronobacter turicensis sp. nov., Cronobacter muytjensii sp. nov., Cronobacter dublinensis sp. nov. and Cronobacter genomospecies 1.

Carol Iversen, Angelika Lehner, Niall Mullane, Eva Bidlas, Ilse Cleenwerck, John Marugg, Séamus Fanning, Roger Stephan, Han Joosten

Open access · goldAbstract read
In one paragraph

Article in BMC evolutionary biology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed
15.3field-weighted citation impact, top 1% 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

86 citing papers in PubMed, 318 citations in OpenAlex.

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  18. Molecular Characterization ofFoods (Basel, Switzerland) · 2020
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  19. Article
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26 more citing papers are in PubMed but not listed here.

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

9 authors at 4 institutions in 4 countries.

Carol IversenQuality and Safety Department, Nestlé Research Centre, Vers-Chez-les-Blanc, Lausanne, Switzerland. iversenc@fsafety.unizh.ch <iversenc@fsafety.unizh.ch>
Angelika Lehner
Niall Mullane
Eva Bidlas
Ilse Cleenwerck
John Marugg
Séamus Fanning
Roger Stephan
Han Joosten
Nestlé (Switzerland) · CHUniversity College Dublin · IEUniversity of Zurich · CHGhent University · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnterobacter sakazakii is an opportunistic pathogen that can cause infections such as necrotizing enterocolitis, bacteraemia, meningitis and brain abscess/lesions. When the species was defined in 1980, 15 biogroups were described and it was suggested that these could represent multiple species. In this study the taxonomic relationship of strains described as E. sakazakii was further investigated.

resultsStrains identified as E. sakazakii were divided into separate groups on the basis of f-AFLP fingerprints, ribopatterns and full-length 16S rRNA gene sequences. DNA-DNA hybridizations revealed five genomospecies. The phenotypic profiles of the genomospecies were determined and biochemical markers identified.

conclusionThis study clarifies the taxonomy of E. sakazakii and proposes a reclassification of these organisms.

Indexed as

Genes, BacterialBase SequenceCronobacter sakazakiiDNA, BacterialEnterobacteriaceaeMolecular Sequence DataPhenotypeRibotypingRNA, BacterialRNA, Ribosomal, 16SSpecies SpecificityDNA, BacterialRNA, BacterialRNA, Ribosomal, 16S

Identifiers

PMID17439656
PMCPMC1868726
OpenAlexW1976075308

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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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.