Application of Routine Diagnostic Procedure, VITEK 2 Compact, MALDI-TOF MS, and PCR Assays in Identification Procedure of Bacterial Strain with Ambiguous Phenotype
Marta Książczyk , Maciej Kuczkowski , Bartłomiej Dudek , Kamila Korzekwa , Anna Tobiasz , Agnieszka Korzeniowska-Kowal , Emil Paluch , Alina Wieliczko , Gabriela Bugla-Płoskońska
In diagnostic microbiology as well as in microbiological research, the identification of a microorganism is a crucial and decisive stage. A broad choice of methods is available, based on both phenotypic and molecular properties of microbes. The aim of this study was to compare the application of phenotypic and molecular tools in bacterial identification on the example of Gram-negative intestine rod with an ambiguous phenotype. Different methods of identification procedure, which based on various properties of bacteria, were applied, e.g., microscopic observation of single-bacterial cells, macroscopic observation of bacterial colonies morphology, the automated system of microorganism identification (biochemical tests), the mass spectrometry method (analysis of bacterial proteome), and genetic analysis with PCR reactions. The obtained results revealed discrepancies in the identification of the tested bacterial strain with an atypical phenotype: mucous morphology of colonies, not characteristic for either E. coli and Citrobacter spp., mass spectrometry analysis of proteome initially assigned the tested strain to Citrobacter genus (C. freundii) and biochemical profiles pointed to Escherichia coli. A decisive method in the current study was genetic analysis with PCR reactions which identified conserved genetic sequences highly specific to E. coli species in the genome of the tested strain.
|Journal series||Current Microbiology, ISSN 0343-8651, (A 20 pkt)|
|Publication size in sheets||0.6|
|ASJC Classification||; ;|
|Score|| = 15.0, 21-05-2021, ArticleFromJournal|
= 20.0, 21-05-2021, ArticleFromJournal
|Publication indicators||= 11; = 10; : 2016 = 0.652; : 2016 = 1.322 (2) - 2016=1.49 (5)|
|Citation count*||15 (2021-06-07)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.