Evidence map›Paper›PMID 17662158›Full record

ArticleBMC microbiology2007

Identification of rickettsial isolates at the species level using multi-spacer typing.

Pierre-Edouard Fournier, Didier Raoult

Abstract read
In one paragraph

Article in BMC microbiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Article
  2. New Real-Time PCRs to DifferentiateMolecules (Basel, Switzerland) · 2020
    Article
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  7. Review
  8. Article
  9. Immuno-PCR for the early serological diagnosis of acute infectious diseases: the Q fever paradigm.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2012
    Article
  10. Molecular methods for pathogen and microbial community detection and characterization: current and potential application in diagnostic microbiology.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2012
    Review
  11. Article
  12. Article
  13. Article
  14. Rickettsia africae, Western Africa.Emerging infectious diseases · 2010
    Article
  15. Article
  16. Article
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

2 authors.

Pierre-Edouard FournierUnité des rickettsies, IFR 48, CNRS UMR 6020, Faculté de médecine, Université de la Méditerranée, Marseille cedex 05, France. Pierre-Edouard.Fournier@medecine.univ-mrs.fr
Didier Raoult

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn order to estimate whether multi-spacer typing (MST), based on the sequencing of variable intergenic spacers, could serve for the identification of Rickettsia at the species level, we applied it to 108 rickettsial isolates or arthropod amplicons that include representatives of 23 valid Rickettsia species.

resultsMST combining the dksA-xerC, mppA-purC, and rpmE-tRNAfMet spacer sequences identified 61 genotypes, allowing the differentiation of each species by at least one distinct genotype. In addition, MST was discriminatory at the strain level in six species for which several isolates or arthropod amplicons were available.

conclusionMST proved to be a reproducible and high-resolution genotyping method allowing clear identification of rickettsial isolates at the species level and further additional differentiation of strains within some species.

Indexed as

Bacterial Typing TechniquesBase SequenceDNA, BacterialDNA, IntergenicGenes, BacterialGenotypeMolecular Sequence DataPolymerase Chain ReactionRickettsiaSequence Analysis, DNASequence Homology, Nucleic AcidDNA, BacterialDNA, Intergenic

Identifiers

PMID17662158
PMCPMC1950309

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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.