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Peer-reviewed veterinary case report

Matrix-Assisted Laser Desorption Ionization-Time of Flight Mass Spectrometry Is a Superior Diagnostic Tool for the Identification and Differentiation of Mycoplasmas Isolated from Animals.

Journal:
Journal of clinical microbiology
Year:
2019
Authors:
Spergser, Joachim et al.
Affiliation:
Institute of Microbiology

Plain-English summary

Veterinary labs often face challenges when trying to identify mycoplasmas, which are tiny bacteria that can affect animals. Traditional methods for identifying these bacteria can be complicated, expensive, and take a long time. Researchers found that a new technique called matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) is a much better option. This method is faster, easier, and more accurate, allowing for reliable identification of various mycoplasma species from different animals. Overall, MALDI-TOF MS has shown to be a highly effective tool for diagnosing mycoplasma infections in pets and livestock.

Abstract

In veterinary diagnostic laboratories, identification of mycoplasmas is achieved by demanding, cost-intensive, and time-consuming methods that rely on antigenic or genetic identification. Since matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) seems to represent a promising alternative to the currently practiced cumbersome diagnostics, we assessed its applicability for the identification of almost all mycoplasma species isolated from vertebrate animals so far. For generating main spectrum profiles (MSPs), the type strains of 98, 11, and 5species and, in the case of 69 species, 1 to 7 clinical isolates were used. To complete the database, 3 to 7 representatives of 23 undescribedspecies isolated from livestock, companion animals, and wildlife were also analyzed. A large in-house library containing 530 MSPs was generated, and the diversity of spectra within a species was assessed by constructing dendrograms based on a similarity matrix. All strains of a given species formed cohesive clusters clearly distinct from all other species. In addition, phylogenetically closely related species also clustered closely but were separated accurately, indicating that the established database was highly robust, reproducible, and reliable. Further validation of the in-house mycoplasma library using 335 independent clinical isolates of 32 mycoplasma species confirmed the robustness of the established database by achieving reliable species identification with log scores of ≥1.80. In summary, MALDI-TOF MS proved to be an excellent method for the identification and differentiation of animal mycoplasmas, combining convenience, ease, speed, precision, and low running costs. Furthermore, this method is a powerful and supportive tool for the taxonomic resolution of animal mycoplasmas.

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Original publication: https://pubmed.ncbi.nlm.nih.gov/31217275/