COI barcode based species-specific primers for identification of five species of stored-product pests from genus Cryptolestes (Coleoptera: Laemophloeidae)
Language English Country Great Britain, England Media print-electronic
Document type Evaluation Study, Journal Article, Research Support, Non-U.S. Gov't
PubMed
25609404
DOI
10.1017/s0007485315000024
PII: S0007485315000024
Knihovny.cz E-resources
- Keywords
- species-specific primer,
- MeSH
- Coleoptera classification genetics MeSH
- DNA Primers * MeSH
- Larva genetics MeSH
- Molecular Sequence Data MeSH
- Polymerase Chain Reaction MeSH
- Food Parasitology * MeSH
- Electron Transport Complex IV genetics MeSH
- Base Sequence MeSH
- Sequence Analysis, DNA MeSH
- Feasibility Studies MeSH
- DNA Barcoding, Taxonomic * MeSH
- Animals MeSH
- Check Tag
- Animals MeSH
- Publication type
- Journal Article MeSH
- Evaluation Study MeSH
- Research Support, Non-U.S. Gov't MeSH
- Names of Substances
- DNA Primers * MeSH
- Electron Transport Complex IV MeSH
Flat grain beetles of the genus Cryptolestes (Coleoptera: Laemophloeidae) are one of the economically most important stored-product pests which feed on many kinds of agricultural products, especially grains. Nine of more than 40 described Cryptolestes species are recognized as stored-product pests and two of the pest species have a cosmopolitan distribution. Given the rapid growth in global trade of food products, ecological barriers to the spread of pests are easily overcome. Therefore, development of reliable systems for routine quarantine inspection and early infestation detection is vital. In the present study, we established a new rapid and accurate cytochrome c oxidase subunit I-based system for molecular identification of five common stored-product Cryptolestes species, namely, Cryptolestes capensis, Cryptolestes ferrugineus, Cryptolestes pusilloides, Cryptolestes pusillus and Cryptolestes turcicus. Five species-specific primer pairs for traditional uniplex polymerase chain reaction assay are described and their specificity and sensitivity for the identification process is evaluated using larval samples of 12 different populations from three continents (Asia, Europe and North America).
Academy of State Administration of Grain No 11 Baiwanzhuang Street Beijing China
Department of Entomology China Agricultural University No 2 Yuanmingyuan West Road Beijing China
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