| Literature DB >> 26880378 |
Zi-Hua Zhao1, Bing-Yi Cui1, Zhi-Hong Li1, Fan Jiang1,2, Qian-Qian Yang1,3, Zuzana Kučerová4, Václav Stejskal4, George Opit5, Yang Cao6, Fu-Jun Li6.
Abstract
Psocids are important stored product pests found worldwide that can be spread through grain trade. Most stored-product psocids, including eggs, nymphs, and adults, are very small (~1 mm) and difficult to identify morphologically. Here, we collected 10 economically important stored-product Liposcelis spp. psocids (L. bostrychophila, L. entomophila, L. decolor, L. paeta, L. brunnea, L. corrodens, L. mendax, L. rufa, L. pearmani, and L. tricolor) from 35 geographical locations in 5 countries (China, Czech Republic, Denmark, Germany, and the United States). The ITS2 rDNA gene was extracted and sequenced. The interspecific genetic distance of the stored-product psocids was significantly higher than the intraspecific genetic distance according to the barcoding gap analysis. Ten pairs of species-specific primers based on the ITS2 rDNA were developed for psocid identification. The sensitivity estimation indicated that the species-specific primers could correctly amplify the target ITS2 gene and successfully identify psocids at 1.0 ng/mL. Additionally, these species-specific primers could quantify specificity and identify 10 stored-product psocids; this approach could also be used to accurately identify other stored-product psocids. This work provides a practical approach for the precise examination of 10 stored-product psocid species and also contributes to the development of an identification method using ITS2 rDNA.Entities:
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Year: 2016 PMID: 26880378 PMCID: PMC4754681 DOI: 10.1038/srep21022
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1The intraspecies and intraspecific genetic distance of ITS2 gene in 10 stored-product psocids.
The species-specific primers for ITS2 rDNA amplification of 10 stored-product psocids.
| Species | Primer | 5′-3′ | Length | Tm(°C) | Target fragment |
|---|---|---|---|---|---|
| 21LEnF | ACATTGCTGGGTTAGGATTCA | 21 | 56. | 188 | |
| 208LEnR-2 | CTTCCGAACTCTGTAATTTGT | 21 | 54.1 | ||
| LBF | CGCACATTGCCGAGCTAGGAT | 21 | 62.3 | 177 | |
| LBR | CGCTCCTTGTATTCTCGTTCT | 21 | 58.3 | ||
| 164LDeF | GAAATGCACTAGAACCGAGA | 20 | 53.5 | 175 | |
| 319LDeR | ATATATTGAACGTGACGAGT | 20 | 52 | ||
| LPa15F | GAACGCACATTGCCGAGTTTT | 21 | 59.7 | 186 | |
| LPa180R | ACCGTCCGATGCAGTTACCCTA | 22 | 65.1 | ||
| LC170F | CGAGGAAATCTCACAAGACG | 20 | 55.8 | 128 | |
| LC277R | GTTCTCTACAATCCGTTTGGT | 21 | 55.1 | ||
| LBr350F | ACCGAGATCCTTGTTACGAA | 20 | 57.6 | 248 | |
| LBr577R | GCCGGAATTCTGTTTTACGAG | 21 | 56.4 | ||
| 78LRuF-3 | AATGTTAAATGTCGGAACGCT | 21 | 54.1 | 199 | |
| 276LRuR-3 | TTACGACCTATCGGTACGCTA | 21 | 58 | ||
| 186LPeF | ATGCACGAAACGAGAATTCTCA | 22 | 56.3 | 251 | |
| 436LPeR | AACGGCTACCATTCTTCAAAC | 21 | 56.3 | ||
| LM60F | GTCTGAGGGTCGGTGTTTGCT | 21 | 61.9 | 185 | |
| LM224R | AAGTCCGTCAACGCTGCTCTT | 21 | 62.2 | ||
| LTri20F | CACATTGCCGAACTTTGAATT | 21 | 56.4 | 250 | |
| LTri249R | TCTACTATCCGTTTGGTTTAC | 21 | 52.6 |
Figure 2The application of species-specific primers for rapid species identification with of electrophoresed ITS2 rDNA PCR amplification products from 10 stored-product psocids (M: DNA Marker II; 1: L. entomophila; 2: L. bostrychophila; 3: L. paeta; 4: L. decolor; 5: L. corrodens; 6: L. brunnea; 7: L. rufa; 8: L. pearmani; 9: L. mendax; 10: L. tricolor; 11: Negative control).
The 35 geographical populations of 10 stored-product psocids from 5 countries
| Species | Geographical population | Locations |
|---|---|---|
| Beijing, China | ||
| Hubei province, China | ||
| Guangxi province, China | ||
| Shandong province, China | ||
| Beijing, P. R. China | ||
| Guangxi province. China | ||
| Guangdong province, China | ||
| Henan province, China | ||
| Chongqing, China | ||
| Prague, Czech Republic | ||
| Bohemia, Czech Republic | ||
| Manhattan,USA | ||
| Berlin, Germany | ||
| Chongqing, China | ||
| Yunnan province, China | ||
| Prague, Czech Republic | ||
| USA | ||
| USA | ||
| Hebei province, China | ||
| Shandong province, China | ||
| Shandong province, China | ||
| Zhejiang province, China | ||
| Hubei province, China | ||
| Henan province, China | ||
| Prague, Czech Republic | ||
| Prague, Czech Republic | ||
| Danmark | ||
| USA | ||
| USA | ||
| Prague, Czech Republic | ||
| USA | ||
| Jiangsu province, China | ||
| USA | ||
| Shandong provience, China | ||
| USA |