Identification of freshwater zooplankton species using protein profiling and principal component analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F25173154%3A_____%2F18%3AN0000007" target="_blank" >RIV/25173154:_____/18:N0000007 - isvavai.cz</a>
Alternative codes found
RIV/60461373:22320/18:43915515 RIV/60461373:22330/18:43915515 RIV/60461373:22340/18:43915515
Result on the web
<a href="https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.1002/lom3.10238" target="_blank" >https://aslopubs.onlinelibrary.wiley.com/doi/pdf/10.1002/lom3.10238</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/lom3.10238" target="_blank" >10.1002/lom3.10238</a>
Alternative languages
Result language
angličtina
Original language name
Identification of freshwater zooplankton species using protein profiling and principal component analysis
Original language description
Crustaceans are vital components of the freshwater zooplankton that link various trophic levels. Because crustaceans, particularly cladocerans of the Daphnia genus, are sensitive to environmental changes, they can serve as indicators of environmental fluctuations. Therefore, it is highly desirable to have a fast and reliable method for the identification of individual Daphnia species. In this study, we demonstrated the ability of protein profiling to distinguish between freshwater zooplankton species. Individual specimens were morphologically identified before being analyzed by proteomic fingerprinting using matrix‐assisted laser desorption/ionization time of flight mass spectrometry (MALDI‐TOF MS). The obtained mass spectra were used to create a reference library. Subsequently, the individual species were successfully identified using Biotyper software. The variability between the spectra of individual Daphnia species was verified by principal component analysis (PCA). Our results suggest that the combination of proteome fingerprinting using MALDI‐TOF MS and PCA has considerable potential as a rapid tool for the unambiguous identification of individual species of freshwater zooplankton without the need for expert morphological analysis.
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
10503 - Water resources
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Limnology and Oceanography: Methods
ISSN
1541-5856
e-ISSN
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Volume of the periodical
16
Issue of the periodical within the volume
3
Country of publishing house
US - UNITED STATES
Number of pages
6
Pages from-to
199-204
UT code for WoS article
000428449500004
EID of the result in the Scopus database
2-s2.0-85041180794&