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Identification of fungal isolates by MALDI-TOF mass spectrometry in veterinary practice: validation of a web application.

Diergezondheid  
[1]
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Public Access

Published

Peer reviewed scientific article

Engels

DOI : https://journals.sagepub.com/doi/10.1177/1040638719835577 [2]

Auteurs

Pierre Becker [3]; Normand, Anne-Cécile [4]; Gerty Vanantwerpen [5]; Vanrobaeys, Mia [6]; Roel Haesendonck [7]; Vercammen, Francis [8]; Dirk Stubbe [9]; Piarroux, Renaud [10]; Marijke Hendrickx [11]

Trefwoorden

  1. Animals [12]
  2. Animals, Zoo [13]
  3. Cattle [14]
  4. Databases, Factual [15]
  5. Fungi [16]
  6. Multilocus Sequence Typing [17]
  7. Online Systems [18]
  8. Pets [19]
  9. Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization [20]
  10. Veterinary Medicine [21]
  11. yeasts [22]
Article written during project(s) : 
BCCM/IHEM BCCM/IHEM collectie van schimmel- en giststammen van medisch en veterinair belang [23]

Samenvatting:

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has emerged as a reliable method to identify fungal isolates. The success of this approach relies on the availability of exhaustive databases, but the latter were built with a focus on human pathogens. We assessed a large in-house database of reference spectra and a dedicated web application for their suitability for use in veterinary laboratories. A panel of 290 mold and yeast isolates representing 69 different fungal species was isolated from various animals (including pets, cattle, and zoo animals…
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Samenvatting

Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has emerged as a reliable method to identify fungal isolates. The success of this approach relies on the availability of exhaustive databases, but the latter were built with a focus on human pathogens. We assessed a large in-house database of reference spectra and a dedicated web application for their suitability for use in veterinary laboratories. A panel of 290 mold and yeast isolates representing 69 different fungal species was isolated from various animals (including pets, cattle, and zoo animals) and identified using both MALDI-TOF MS and conventional techniques. The performance of the 2 methods was compared, and identifications were confirmed by DNA sequencing. MALDI-TOF MS allowed distinction between some closely related species and achieved 89% correct identification at the species level. In comparison, only 60% of the isolates were correctly identified with conventional approaches. Using this online application, MALDI-TOF MS thus appears to be a relevant alternative for the identification of fungal isolates encountered by animal health professionals.

Associated health topics:

Diergezondheid [24]

Source URL:https://www.sciensano.be/nl/biblio/identification-fungal-isolates-maldi-tof-mass-spectrometry-veterinary-practice-validation-a-web

Links
[1] https://www.sciensano.be/sites/default/files/becker_et_al_jvdi_2019.pdf [2] https://journals.sagepub.com/doi/10.1177/1040638719835577 [3] https://www.sciensano.be/nl/people/pierre-becker/biblio [4] https://www.sciensano.be/nl/biblio?f%5Bauthor%5D=46932&f%5Bsearch%5D=Normand%2C%20Anne-C%C3%A9cile [5] https://www.sciensano.be/nl/biblio?f%5Bauthor%5D=88082&f%5Bsearch%5D=Gerty%20Vanantwerpen [6] https://www.sciensano.be/nl/biblio?f%5Bauthor%5D=35382&f%5Bsearch%5D=Vanrobaeys%2C%20Mia [7] https://www.sciensano.be/nl/biblio?f%5Bauthor%5D=88083&f%5Bsearch%5D=Roel%20Haesendonck [8] https://www.sciensano.be/nl/biblio?f%5Bauthor%5D=37146&f%5Bsearch%5D=Vercammen%2C%20Francis [9] https://www.sciensano.be/nl/biblio?f%5Bauthor%5D=46920&f%5Bsearch%5D=Dirk%20Stubbe [10] https://www.sciensano.be/nl/biblio?f%5Bauthor%5D=33084&f%5Bsearch%5D=Piarroux%2C%20Renaud [11] https://www.sciensano.be/nl/biblio?f%5Bauthor%5D=36810&f%5Bsearch%5D=Marijke%20Hendrickx [12] https://www.sciensano.be/nl/biblio?f%5Bkeyword%5D=423&f%5Bsearch%5D=Animals [13] https://www.sciensano.be/nl/biblio?f%5Bkeyword%5D=29262&f%5Bsearch%5D=Animals%2C%20Zoo [14] https://www.sciensano.be/nl/biblio?f%5Bkeyword%5D=426&f%5Bsearch%5D=Cattle [15] https://www.sciensano.be/nl/biblio?f%5Bkeyword%5D=29316&f%5Bsearch%5D=Databases%2C%20Factual [16] https://www.sciensano.be/nl/biblio?f%5Bkeyword%5D=3783&f%5Bsearch%5D=Fungi [17] https://www.sciensano.be/nl/biblio?f%5Bkeyword%5D=4680&f%5Bsearch%5D=Multilocus%20Sequence%20Typing [18] https://www.sciensano.be/nl/biblio?f%5Bkeyword%5D=33723&f%5Bsearch%5D=Online%20Systems [19] https://www.sciensano.be/nl/biblio?f%5Bkeyword%5D=31464&f%5Bsearch%5D=Pets [20] https://www.sciensano.be/nl/biblio?f%5Bkeyword%5D=32364&f%5Bsearch%5D=Spectrometry%2C%20Mass%2C%20Matrix-Assisted%20Laser%20Desorption-Ionization [21] https://www.sciensano.be/nl/biblio?f%5Bkeyword%5D=3552&f%5Bsearch%5D=Veterinary%20Medicine [22] https://www.sciensano.be/nl/biblio?f%5Bkeyword%5D=18024&f%5Bsearch%5D=yeasts [23] https://www.sciensano.be/nl/projecten/bccm-ihem-collectie-van-schimmel-en-giststammen-van-medisch-en-veterinair-belang [24] https://www.sciensano.be/nl/gezondheidsonderwerpen/diergezondheid