<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pierre Becker</style></author><author><style face="normal" font="default" size="100%">Normand, Anne-Cécile</style></author><author><style face="normal" font="default" size="100%">Gerty Vanantwerpen</style></author><author><style face="normal" font="default" size="100%">Vanrobaeys, Mia</style></author><author><style face="normal" font="default" size="100%">Roel Haesendonck</style></author><author><style face="normal" font="default" size="100%">Vercammen, Francis</style></author><author><style face="normal" font="default" size="100%">Dirk Stubbe</style></author><author><style face="normal" font="default" size="100%">Piarroux, Renaud</style></author><author><style face="normal" font="default" size="100%">Marijke Hendrickx</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Identification of fungal isolates by MALDI-TOF mass spectrometry in veterinary practice: validation of a web application.</style></title><secondary-title><style face="normal" font="default" size="100%">J Vet Diagn Invest</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Animals</style></keyword><keyword><style  face="normal" font="default" size="100%">Animals, Zoo</style></keyword><keyword><style  face="normal" font="default" size="100%">Cattle</style></keyword><keyword><style  face="normal" font="default" size="100%">Databases, Factual</style></keyword><keyword><style  face="normal" font="default" size="100%">Fungi</style></keyword><keyword><style  face="normal" font="default" size="100%">Multilocus Sequence Typing</style></keyword><keyword><style  face="normal" font="default" size="100%">Online Systems</style></keyword><keyword><style  face="normal" font="default" size="100%">Pets</style></keyword><keyword><style  face="normal" font="default" size="100%">Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization</style></keyword><keyword><style  face="normal" font="default" size="100%">Veterinary Medicine</style></keyword><keyword><style  face="normal" font="default" size="100%">yeasts</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2019</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2019 May</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">474</style></number><volume><style face="normal" font="default" size="100%">31</style></volume><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;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.&lt;/p&gt;
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