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Updated: May 24, 2026

Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS
Published on: July 11, 2016
Rapid MALDI-TOF mass spectrometry identification of Leptospira organisms
Zoheira Djelouadji1, Véronique Roux, Didier Raoult
1UMR1233 INRA, Equipe PERS, Etablissement VetAgro Sup, Campus Lyon, France. z.djelouadji@vetagro-sup.fr
Abstract:
Leptospirosis is a worldwide deadly zoonotic disease. Accurate identification of the causative Leptospira spp. spirochetes ascertains the pathogenic status of the isolates, identifies potential source of infection and recognises outbreaks. Species identification is currently based on technically demanding, time and resources consuming serological and molecular methods. Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) recently emerged as a first-line method for the accurate identification of bacteria, yet no data issued for Leptospira spp. We investigated the potential of MALDI-TOF-MS for the rapid identification of Leptospira isolates. Starting from a 10(5)organisms/mL suspension, MALDI-TOF-MS yielded an unique protein profile for each one of 19 Leptospira species reference isolates with a 100% reproducibility over 12 repeats, allowing to create a Leptopsira database. MALDI-TOF-MS further accurately identified 20/21 additional reference isolates representative of various serogroups at the species level as Leptospira interrogans (n=12), Leptospira kirschneri (n=5), Leptospira borgpetersenii (n=3), Leptospira noguchii (n=1) with identification score value of 2-2.5. Furthermore, six clinical isolates previously identified by rpoB sequencing, were correctly identified by MALDI-TOF-MS as L. interrogans (n=5) and L. borgpetersenii (n=1) with identification score value of 2-2.6. Identification was achieved in 40 min starting from the Leptospira suspension. MALDI-TOF-MS could complement serological and sequencing-based methods for the first line, rapid identification of Leptospira isolates in the clinical microbiology laboratory.
Insights
Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) offers rapid and accurate identification of Leptospira species. This method can create a Leptospira database and complement existing diagnostic techniques in clinical microbiology.
Area of Science:
- Microbiology
- Bacteriology
- Diagnostic Technology
Background:
- Leptospirosis is a global zoonotic disease requiring accurate identification of causative Leptospira species for disease management and outbreak recognition.
- Current species identification methods (serological and molecular) are time-consuming and resource-intensive.
- Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) is a rapid bacterial identification tool, but its application to Leptospira species was unexplored.
Purpose of the Study:
- To evaluate the potential of MALDI-TOF-MS for rapid and accurate species identification of Leptospira isolates.
- To establish a Leptospira database using MALDI-TOF-MS profiles.
- To compare MALDI-TOF-MS identification with conventional methods for clinical isolates.
Main Methods:
- Development of a Leptospira database using MALDI-TOF-MS analysis of 19 reference species isolates.
- Identification of 21 additional reference isolates and 6 clinical isolates using MALDI-TOF-MS.
- Comparison of MALDI-TOF-MS results with established identification methods (serological, molecular, rpoB sequencing).
Main Results:
- MALDI-TOF-MS generated unique and reproducible protein profiles for 19 Leptospira species.
- Accurate species-level identification of 20/21 reference isolates and 6 clinical isolates with high score values.
- Identification process completed within 40 minutes from sample preparation.
Conclusions:
- MALDI-TOF-MS is a rapid, accurate, and reproducible method for Leptospira species identification.
- MALDI-TOF-MS can serve as a valuable first-line diagnostic tool in clinical microbiology laboratories.
- This technique complements existing serological and sequencing-based methods for Leptospira identification.
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