Identification of filamentous fungi including dermatophytes using MALDI-TOF mass spectrometry
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00098892%3A_____%2F22%3A10157824" target="_blank" >RIV/00098892:_____/22:10157824 - isvavai.cz</a>
Alternative codes found
RIV/61989592:15110/22:73617688
Result on the web
<a href="https://link.springer.com/article/10.1007/s12223-021-00917-6" target="_blank" >https://link.springer.com/article/10.1007/s12223-021-00917-6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/s12223-021-00917-6" target="_blank" >10.1007/s12223-021-00917-6</a>
Alternative languages
Result language
angličtina
Original language name
Identification of filamentous fungi including dermatophytes using MALDI-TOF mass spectrometry
Original language description
Identification of filamentous fungi based on morphological features is the most available approach used in clinical mycology laboratories. However, MALDI-TOF mass spectrometry is currently invaluable for identification of microorganisms because of its rapidity, simplicity, and accuracy. This study aimed to find the optimal way of identifying filamentous fungi using MALDI-TOF MS. The sample comprised 193 isolates of filamentous fungi. The identification started with morphological assessment. Then isolates were identified using MALDI-TOF MS, both directly from culture and following culture in liquid media with extraction. Subsequently, identification of 20 selected isolates was compared by sequencing of the benA gene, ITS1-5,8-ITS2, and D1-D2 LSU regions. Based on morphological criteria, 17 genera of fungi were identified. With MALDI-TOF MS performed directly from culture, nine isolates were identified to the genus level and 184 to the species level, with a total of 75 species being noted. With the MALDI-TOF MS extraction method, 190 isolates were identified to the species level, with 43 species being noted. The rates of agreement between identification using morphology and the MALDI-TOF MS direct method were 58.55% at the genus level and 22.24% at the species level. The rates of agreement between identification using morphology and the MALDI-TOF MS extraction method were 84.97% at the genus level and 46.11% at the species level. Using sequencing, 87.5% agreement was found for identification with the MALDI-TOF MS extraction method, as compared with only 43.75% for the direct method. The results suggest that the optimal approach to identification of filamentous fungi is a combination of morphological features and MALDI-TOF MS using the extraction method.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10606 - Microbiology
Result continuities
Project
<a href="/en/project/NV17-31269A" target="_blank" >NV17-31269A: Molecular epidemiology and identification improvement of dermatophytes in the Czech Republic</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Folia Microbiologica
ISSN
0015-5632
e-ISSN
1874-9356
Volume of the periodical
67
Issue of the periodical within the volume
1
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
7
Pages from-to
55-61
UT code for WoS article
000695634000001
EID of the result in the Scopus database
2-s2.0-85114649289