Title |
Identification of pathogenic and nonpathogenic Leptospira species of Brazilian isolates by Matrix Assisted Laser Desorption/Ionization and Time Flight mass spectrometry
|
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Published in |
Brazilian Journal of Microbiology, April 2018
|
DOI | 10.1016/j.bjm.2018.03.005 |
Pubmed ID | |
Authors |
Daniel Karcher, Rafaella C. Grenfell, Andrea Micke Moreno, Luisa Zanolli Moreno, Silvio Arruda Vasconcellos, Marcos B. Heinemann, Joao N. de Almeida, Luiz Juliano, Maria A. Juliano |
Abstract |
Matrix Assisted Laser Desorption/Ionization and Time of Flight mass spectrometry (MALDI-TOF MS) is a powerful tool for the identification of bacteria through the detection and analysis of their proteins or fragments derived from ribosomes. Slight sequence variations in conserved ribosomal proteins distinguish microorganisms at the subspecies and strain levels. Characterization of Leptospira spp. by 16S RNA sequencing is costly and time-consuming, and recent studies have shown that closely related species (e.g., Leptospira interrogans and Leptospira kirschneri) may not be discriminated using this technology. Herein, we report an in-house Leptospira reference spectra database using Leptospira reference strains that were validated with a collection of well-identified Brazilian isolates kept in the Bacterial Zoonosis Laboratory at the Veterinary Preventive Medicine and Animal Health Department at Sao Paulo University. In addition, L. interrogans and L. kirschneri were differentiated using an in-depth mass spectrometry analysis with ClinProTools™ software. In conclusion, our in-house reference spectra database has the necessary accuracy to differentiate pathogenic and non-pathogenic species and to distinguish L. interrogans and L. kirschneri. |
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Geographical breakdown
Country | Count | As % |
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Germany | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 59 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Bachelor | 7 | 12% |
Researcher | 6 | 10% |
Student > Ph. D. Student | 5 | 8% |
Student > Doctoral Student | 5 | 8% |
Other | 4 | 7% |
Other | 14 | 24% |
Unknown | 18 | 31% |
Readers by discipline | Count | As % |
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Veterinary Science and Veterinary Medicine | 13 | 22% |
Agricultural and Biological Sciences | 6 | 10% |
Immunology and Microbiology | 5 | 8% |
Biochemistry, Genetics and Molecular Biology | 3 | 5% |
Medicine and Dentistry | 3 | 5% |
Other | 8 | 14% |
Unknown | 21 | 36% |