title: High-throughput species identification of enterococci using pyrosequencing.
abstract: Here we report the development and validation of an automated high-throughput pyrosequencing-based method for the reliable identification of isolated Enterococcus species. This method exploits the discrete species-specificity of hypervariable groES-EL spacer region and utilizes a universal dispensation order optimized for a wide range of Enterococcus species.
authors.affiliation: Agriculture and Agri-Food Canada, Lethbridge Research Centre, Lethbridge, Alberta, Canada T1J 4B1.
authors.forename: Rahat
authors.initials: R
authors.lastname: Zaheer
authors.forename: L Jay
authors.initials: LJ
authors.lastname: Yanke
authors.forename: Deirdre
authors.initials: D
authors.lastname: Church
authors.forename: Edward
authors.initials: E
authors.lastname: Topp
authors.forename: Ronald R
authors.initials: RR
authors.lastname: Read
authors.forename: Tim A
authors.initials: TA
authors.lastname: McAllister
mesh_terms: D000818:Animals; D001331:Automation / Q000379:methods; D001426:Bacterial Proteins / Q000235:genetics*; D001431:Bacteriological Techniques / Q000379:methods*; D018833:Chaperonins / Q000235:genetics*; D004269:DNA, Bacterial / Q000737:chemistry* / Q000235:genetics*; D016983:Enterococcus / Q000145:classification* / Q000235:genetics*; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods*; D006801:Humans; D008969:Molecular Sequence Data
chemical_list: D001426:Bacterial Proteins; D004269:DNA, Bacterial; C097970:GroESL protein, Bacteria; D018833:Chaperonins