title: Globicatella bacteraemia identified by 16S ribosomal RNA gene sequencing.
abstract: BACKGROUND
  Globicatella are streptococcus-like organisms that have been rarely isolated from clinical specimens. Their epidemiology and clinical significance remain largely unknown.
  
  
  OBJECTIVE
  To describe two cases of Globicatella bacteraemia identified by 16S ribosomal RNA (rRNA) gene sequencing.
  
  
  METHODS
  Two unidentified streptococcus-like bacteria isolated from blood cultures of patients were subject to 16S rRNA gene sequencing.
  
  
  RESULTS
  Two cases of Globicatella bacteraemia were identified by 16S rRNA gene sequencing. In the first case, a gram positive coccus was isolated from the blood culture of an 80 year old woman with diabetes mellitus and nosocomial sepsis, who died the day after developing the bacteraemia. The bacterium was unidentified by conventional phenotypic tests, the Vitek (gram positive identification) and the ATB expression (ID32 Strep) systems. In the second case, a similar bacterium was isolated from the blood culture of a 92 year old woman with polymicrobial acute pyelonephritis complicated by septic shock, who subsequently recovered after antibiotic treatment. 16S rRNA gene sequencing of the two isolates showed 0.5% nucleotide difference from that of G. sulfidifaciens and 0.7% nucleotide difference from that of G. sanguinis, indicating that they were Globicatella species.
  
  
  CONCLUSIONS
  Because Globicatella is rarely encountered in clinical microbiology laboratories, it may have been overlooked or misidentified in these cases. 16S rRNA gene sequencing is a useful tool to better characterise the epidemiology and clinical significance of Globicatella.
authors.affiliation: Department of Microbiology, University of Hong Kong, Hong Kong.
authors.forename: S K P
authors.initials: SK
authors.lastname: Lau
authors.forename: P C Y
authors.initials: PC
authors.lastname: Woo
authors.forename: N K H
authors.initials: NK
authors.lastname: Li
authors.forename: J L L
authors.initials: JL
authors.lastname: Teng
authors.forename: K-W
authors.initials: KW
authors.lastname: Leung
authors.forename: K H L
authors.initials: KH
authors.lastname: Ng
authors.forename: T-L
authors.initials: TL
authors.lastname: Que
authors.forename: K-Y
authors.initials: KY
authors.lastname: Yuen
mesh_terms: D000369:Aged, 80 and over; D016470:Bacteremia / Q000382:microbiology; D015373:Bacterial Typing Techniques; D001483:Base Sequence; D003428:Cross Infection / Q000382:microbiology; D005260:Female; D020459:Genes, rRNA; D006801:Humans; D008969:Molecular Sequence Data; D012329:RNA, Bacterial / Q000235:genetics*; D012336:RNA, Ribosomal, 16S / Q000032:analysis*; D017423:Sequence Analysis, RNA; D017385:Sequence Homology; D013203:Staphylococcal Infections / Q000382:microbiology*; D013210:Staphylococcus / Q000145:classification* / Q000235:genetics*
chemical_list: D012329:RNA, Bacterial; D012336:RNA, Ribosomal, 16S