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Updated: Jun 5, 2026

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
Published on: July 11, 2016
Identification of Plesiomonas spp.: serological and MALDI-TOF MS methods
R Kolínská1, M Dřevínek, E Aldová
1Czech National Collection of Type Cultures (CNCTC), National Institute of Public Health, 10042 Prague, Czech Republic. rkolinska@szu.cz
This study introduces MALDI-TOF MS for identifying Plesiomonas shigelloides, complementing traditional methods. This proteomic approach offers a rapid and accurate way to characterize these bacterial strains.
Area of Science:
- Microbiology
- Proteomics
- Mass Spectrometry
Background:
- Plesiomonas shigelloides is a Gram-negative bacterium found in various environments.
- Accurate identification of Plesiomonas shigelloides is crucial for clinical and epidemiological studies.
- Traditional biochemical and serological methods for bacterial identification can be time-consuming and complex.
Purpose of the Study:
- To evaluate the utility of MALDI-TOF MS for the rapid and accurate identification of Plesiomonas shigelloides.
- To develop a species-specific proteomic profile for Plesiomonas shigelloides.
- To complement existing phenotypic characterization methods with proteomic data.
Main Methods:
- Seventy-four isolates of Plesiomonas shigelloides were analyzed.
- MALDI-TOF MS was performed using 3-methoxy-4-hydroxycinnamic acid as matrix.
- Biochemical and serological profiles were determined using standard procedures.
Main Results:
- MALDI-TOF MS identified unique biomarker ions in the 3- to 12-kDa mass range for Plesiomonas shigelloides strains.
- A species-specific spectral database was generated.
- The proteomic characterization successfully complemented biochemical and serological data.
Conclusions:
- MALDI-TOF MS provides a reliable, rapid, and reproducible method for identifying Plesiomonas shigelloides.
- Proteomic profiling enhances the characterization of Plesiomonas shigelloides beyond traditional methods.
- This approach facilitates accurate bacterial identification in clinical settings.
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