MALDI-TOF MS as a method for rapid identification of Phytophthora de Bary, 1876
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027073%3A_____%2F21%3AN0000042" target="_blank" >RIV/00027073:_____/21:N0000042 - isvavai.cz</a>
Alternative codes found
RIV/60460709:41210/21:89227
Result on the web
<a href="https://peerj.com/articles/11662/" target="_blank" >https://peerj.com/articles/11662/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.7717/peerj.11662" target="_blank" >10.7717/peerj.11662</a>
Alternative languages
Result language
angličtina
Original language name
MALDI-TOF MS as a method for rapid identification of Phytophthora de Bary, 1876
Original language description
The number of described species of the oomycete genus Phytophthora is growing rapidly, highlighting the need for low-cost, rapid tools for species identification. Here, a collection of 24 Phytophthora species (42 samples) from natural as well as anthropogenic habitats were genetically identified using the internal transcribed spacer (ITS) and cytochrome c oxidase subunit I (COI) regions. Because genetic identification is time consuming, we have created a complementary method based on by matrix-assisted laser desorption ionization–time of flight mass spectrometry (MALDI-TOF MS). Both methods were compared and hypothesis that the MALDI-TOF MS method can be a fast and reliable method for the identification of oomycetes was confirmed. Over 3500 mass spectra were acquired, manually reviewed for quality control, and consolidated into a single reference library using the Bruker MALDI Biotyper platform. Finally, a database containing 144 main spectra (MSPs) was created and published in repository. The method presented in this study will facilitate the use of MALDI-TOF MS as a complement to existing approaches for fast, reliable identification of Phytophthora isolates.
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
40500 - Other agricultural sciences
Result continuities
Project
<a href="/en/project/LM2018100" target="_blank" >LM2018100: Infrastructure for Promoting Metrology in Food and Nutrition in the Czech Republic</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2021
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
PeerJ
ISSN
2167-8359
e-ISSN
—
Volume of the periodical
9
Issue of the periodical within the volume
July 2021
Country of publishing house
GB - UNITED KINGDOM
Number of pages
18
Pages from-to
e11662
UT code for WoS article
000675409100004
EID of the result in the Scopus database
2-s2.0-85110504033