Molecular Identification of ten species of stored-product psocids through microarray method based on ITS2 rDNA
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00027006%3A_____%2F17%3A00004163" target="_blank" >RIV/00027006:_____/17:00004163 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1038/s41598-017-16888-z" target="_blank" >http://dx.doi.org/10.1038/s41598-017-16888-z</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1038/s41598-017-16888-z" target="_blank" >10.1038/s41598-017-16888-z</a>
Alternative languages
Result language
angličtina
Original language name
Molecular Identification of ten species of stored-product psocids through microarray method based on ITS2 rDNA
Original language description
Stored-product psocids (Psocoptera: Liposcelididae) are cosmopolitan storage pests that can damage stored products and cause serious economic loss. However, because of the body size (similar to 1 mm) of eggs, nymphs, and adults, morphological identification of most stored-product psocids is difficult and hampers effective identification. In this study, 10 economically important stored-product Liposcelis spp. psocids (Liposcelis brunnea, L. entomophila, L. decolor, L. pearmani, L. rufa, L. mendax, L. bostrychophila, L. corrodens, L. paeta, and L. tricolor) were collected from 25 geographic locations in 3 countries (China, Czech Republic, and the United States). Ten species-specific probes for identifying these 10 psocid species were designed based on ITS2 sequences. The microarray method and reaction system were optimized. Specificity of each of the ten probes was tested, and all probes were found suitable for use in identification of the respective10 Liposcelis spp. psocids at 66 degrees C. This method was also used to identify an unknown psocid species collected in Taian, China. This work has contributed to the development of a molecular identification method for stored-product psocids, and can provide technical support not only to facilitate identification of intercepted samples in relation to plant quarantine, but also for use in insect pest monitoring.
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
40106 - Agronomy, plant breeding and plant protection; (Agricultural biotechnology to be 4.4)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Scientific Reports
ISSN
2045-2322
e-ISSN
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Volume of the periodical
7
Issue of the periodical within the volume
December
Country of publishing house
GB - UNITED KINGDOM
Number of pages
9
Pages from-to
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UT code for WoS article
000416938200002
EID of the result in the Scopus database
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