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Comparative analyses of phenotypic methods and 16S rRNA, khe, rpoB genes sequencing for identification of clinical isolates of Klebsiella pneumoniae.
He, Yanxia; Guo, Xianguang; Xiang, Shifei; Li, Jiao; Li, Xiaoqin; Xiang, Hui; He, Jinlei; Chen, Dali; Chen, Jianping.
Afiliación
  • He Y; Department of Parasitology, West China School of Preclinical and Forensic Medicine, Sichuan University, 610041, Chengdu, China.
  • Guo X; Department of Pathogen Biology and Immunology, Medical College, Hubei University for Nationalities, 445000, Enshi, China.
  • Xiang S; Chengdu Institute of Biology, Chinese Academy of Sciences, 610041, Chengdu, China.
  • Li J; Affiliated Minda Hospital, Hubei University for Nationalities, 445000, Enshi, China.
  • Li X; Department of Parasitology, West China School of Preclinical and Forensic Medicine, Sichuan University, 610041, Chengdu, China.
  • Xiang H; Central Hospital of Enshi Autonomous Prefecture, 445000, Enshi, China.
  • He J; Affiliated Minda Hospital, Hubei University for Nationalities, 445000, Enshi, China.
  • Chen D; Department of Parasitology, West China School of Preclinical and Forensic Medicine, Sichuan University, 610041, Chengdu, China.
  • Chen J; Department of Parasitology, West China School of Preclinical and Forensic Medicine, Sichuan University, 610041, Chengdu, China. cdl1978119@sina.com.
Antonie Van Leeuwenhoek ; 109(7): 1029-40, 2016 Jul.
Article en En | MEDLINE | ID: mdl-27147066
ABSTRACT
The present work aimed to evaluate 16S rRNA, khe and rpoB gene sequencing for the identification of Klebsiella pneumoniae in comparison with phenotypic methods. Fifteen clinical isolates were examined, which were initially identified as K. pneumoniae subsp. pneumoniae using the automated VITEK 32 system in two hospitals in Enshi City, China. Their identity was further supported by conventional phenotypic methods on the basis of morphological and biochemical characteristics. Using Bayesian phylogenetic analyses and haplotypes network reconstruction, 13 isolates were identified as K. pneumoniae, whereas the other two isolates (K19, K24) were classified as Shigella sp. and Enterobacter sp., respectively. Of the three genes, 16S rRNA and khe gene could discriminate the clinical isolates at the genus level, whereas rpoB could discriminate Klebsiella at the species and even subspecies level. Overall, the gene tree based on rpoB is more compatible with the currently accepted classification of Klebsiella than those based on 16S rRNA and khe genes, showing that rpoB can be a powerful tool for identification of K. pneumoniae isolates. Above all, our study challenges the utility of khe as a species-specific marker for identification of K. pneumoniae.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteínas Bacterianas / Infecciones por Klebsiella / ARN Polimerasas Dirigidas por ADN / ARN Ribosómico 16S / Klebsiella pneumoniae Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Antonie Van Leeuwenhoek Año: 2016 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Proteínas Bacterianas / Infecciones por Klebsiella / ARN Polimerasas Dirigidas por ADN / ARN Ribosómico 16S / Klebsiella pneumoniae Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Antonie Van Leeuwenhoek Año: 2016 Tipo del documento: Article País de afiliación: China