Molecular Identification of ten species of stored-product psocids through microarray method based on ITS2 rDNA
Language English Country England, Great Britain Media electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
29196710
PubMed Central
PMC5711863
DOI
10.1038/s41598-017-16888-z
PII: 10.1038/s41598-017-16888-z
Knihovny.cz E-resources
- MeSH
- DNA Probes chemistry metabolism MeSH
- Species Specificity MeSH
- Insecta genetics MeSH
- DNA, Ribosomal chemistry metabolism MeSH
- Oligonucleotide Array Sequence Analysis MeSH
- Animals MeSH
- Check Tag
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Names of Substances
- DNA Probes MeSH
- DNA, Ribosomal MeSH
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 (~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 °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.
Academy of State Administration of Grain Beijing 100037 China
Crop Research Institute Drnovská 507 161 06 Prague 6 Czech Republic
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