Development of a Real-Time Fluorescence Resonance Energy Transfer PCR To Detect Arcobacter Species
Author(s) -
Khalil Abdelbaqi,
Alice Buissonnière,
Valérie ProuzetMauléon,
Jessica Gresser,
Irene V. Wesley,
Françis Mégraud,
Armelle Ménard
Publication year - 2007
Publication title -
journal of clinical microbiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.349
H-Index - 255
eISSN - 1070-633X
pISSN - 0095-1137
DOI - 10.1128/jcm.00256-07
Subject(s) - arcobacter , biology , melting curve analysis , microbiology and biotechnology , 16s ribosomal rna , polymerase chain reaction , gene , genetics
A real-time PCR targeting the gyrase A subunit gene outside the quinolone resistance-determining region has been developed to detect Arcobacter species. The species identification was done by probe hybridization and melting curve analysis, using fluorescence resonance energy transfer technology. Discrimination between Arcobacter species was straightforward, as the corresponding melting points showed significant differences with the characteristic melting temperatures of 63.5 degrees C, 58.4 degrees C, 60.6 degrees C, and 51.8 degrees C for the Arcobacter butzleri, Arcobacter cryaerophilus, Arcobacter cibarius, and Arcobacter nitrofigilis type strains, respectively. The specificity of this assay was confirmed with pure cultures of 106 Arcobacter isolates from human clinical and veterinary specimens identified by phenotypic methods and 16S rRNA gene sequencing. The assay was then used to screen 345 clinical stool samples obtained from patients with diarrhea. The assay detected A. butzleri in four of these clinical samples (1.2%). These results were confirmed by a conventional PCR method targeting the 16S rRNA gene with subsequent sequencing of the PCR product. In conclusion, this real-time assay detects and differentiates Arcobacter species in pure culture as well as in the competing microbiota of the stool matrix. The assay is economical since only one biprobe is used and multiple Arcobacter species are identified in a single test.
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