Evidence map›Paper›PMID 18518958›Full record

ArticleBMC microbiology2008

Rapid identification of Brucella isolates to the species level by real time PCR based single nucleotide polymorphism (SNP) analysis.

Krishna K Gopaul, Mark S Koylass, Catherine J Smith, Adrian M Whatmore

Abstract readEvaluation Study
In one paragraph

Article in BMC microbiology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing 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

31 citing papers in PubMed.

  1. Trial
  2. Article
  3. Whole genome sequencing of EthiopianFrontiers in microbiology · 2023
    Article
  4. Review
  5. Genetic Characterization ofFrontiers in microbiology · 2021
    Article
  6. Canine Brucellosis: An Update.Frontiers in veterinary science · 2021
    Review
  7. Article
  8. Article
  9. MLVA and LPS Characteristics ofFrontiers in veterinary science · 2017
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Polymerase chain reaction-based assays for the diagnosis of human brucellosis.Annals of clinical microbiology and antimicrobials · 2014
    Review
  19. Article
  20. 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

4 authors.

Krishna K GopaulDivision of Statutory and Exotic Bacteria, Veterinary Laboratories Agency, Addlestone, UK. k.gopaul@vla.defra.gsi.gov.uk
Mark S Koylass
Catherine J Smith
Adrian M Whatmore

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrucellosis, caused by members of the genus Brucella, remains one of the world's major zoonotic diseases. Six species have classically been recognised within the family Brucella largely based on a combination of classical microbiology and host specificity, although more recently additional isolations of novel Brucella have been reported from various marine mammals and voles. Classical identification to species level is based on a biotyping approach that is lengthy, requires extensive and hazardous culturing and can be difficult to interpret. Here we describe a simple and rapid approach to identification of Brucella isolates to the species level based on real-time PCR analysis of species-specific single nucleotide polymorphisms (SNPs) that were identified following a robust and extensive phylogenetic analysis of the genus.

resultsSeven pairs of short sequence Minor Groove Binding (MGB) probes were designed corresponding to SNPs shown to possess an allele specific for each of the six classical Brucella spp and the marine mammal Brucella. Assays were optimised to identical reaction parameters in order to give a multiple outcome assay that can differentiate all the classical species and Brucella isolated from marine mammals. The scope of the assay was confirmed by testing of over 300 isolates of Brucella, all of which typed as predicted when compared to other phenotypic and genotypic approaches. The assay is sensitive being capable of detecting and differentiating down to 15 genome equivalents. We further describe the design and testing of assays based on three additional SNPs located within the 16S rRNA gene that ensure positive discrimination of Brucella from close phylogenetic relatives on the same platform.

conclusionThe multiple-outcome assay described represents a new tool for the rapid, simple and unambiguous characterisation of Brucella to the species level. Furthermore, being based on a robust phylogenetic framework, the assay provides a platform that can readily be extended in the future to incorporate newly identified Brucella groups, to further type at the subspecies level, or to include markers for additional useful characteristics.

Indexed as

Polymorphism, Single NucleotideAnimal DiseasesAnimalsBacterial ProteinsBacterial Typing TechniquesBase SequenceBrucellaBrucellosisDNA, BacterialDNA PrimersDNA, RibosomalGenotypeMolecular Sequence DataPolymerase Chain ReactionRNA, Ribosomal, 16SSensitivity and SpecificityBacterial ProteinsDNA, BacterialDNA PrimersDNA, RibosomalRNA, Ribosomal, 16S

Identifiers

PMID18518958
PMCPMC2442087

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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.