ArticleBMC microbiology2008
Rapid identification of Brucella isolates to the species level by real time PCR based single nucleotide polymorphism (SNP) analysis.
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.
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Who cites it
31 citing papers in PubMed.
- Prevalence and speciation of brucellosis in febrile patients from a pastoralist community of Tanzania.Scientific reports · 2020Trial
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- Whole genome sequencing of EthiopianFrontiers in microbiology · 2023Article
- Assays for Identification and Differentiation ofMicroorganisms · 2022Review
- Genetic Characterization ofFrontiers in microbiology · 2021Article
- Canine Brucellosis: An Update.Frontiers in veterinary science · 2021Review
- Single Locked Nucleic Acid-Enhanced Nanopore Genetic Discrimination of Pathogenic Serotypes and Cancer Driver Mutations.ACS nano · 2018Article
- Highly Sensitive Bacteriophage-Based Detection of Brucella abortus in Mixed Culture and Spiked Blood.Viruses · 2017Article
- MLVA and LPS Characteristics ofFrontiers in veterinary science · 2017Article
- Article
- Human brucellosis in Portugal-Retrospective analysis of suspected clinical cases of infection from 2009 to 2016.PloS one · 2017Article
- Differential diagnosis of Brucella abortus by real-time PCR based on a single-nucleotide polymorphisms.The Journal of veterinary medical science · 2016Article
- Extended Multilocus Sequence Analysis to Describe the Global Population Structure of the GenusFrontiers in microbiology · 2016Article
- Detection and discrimination of two Brucella species by multiplex real-time PCR and high-resolution melt analysis curve from human blood and comparison of results using RFLP.Iranian journal of basic medical sciences · 2015Article
- Novel real-time PCR detection assay for Brucella suis.Veterinary record open · 2015Article
- Multiple-locus variable-number tandem-repeat analysis of Brucella isolates from patients in Xinjiang China.International journal of clinical and experimental medicine · 2015Article
- Development and assessment of multiplex high resolution melting assay as a tool for rapid single-tube identification of five Brucella species.BMC research notes · 2014Article
- Polymerase chain reaction-based assays for the diagnosis of human brucellosis.Annals of clinical microbiology and antimicrobials · 2014Review
- Article
- Newly identified variability in Brucella canis fatty-acid content is associated with geographical origin.Epidemiology and infection · 2013Article
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4 authors.
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No grant is acknowledged in the PubMed record.
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.
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