COI barcode based species-specific primers for identification of five species of stored-product pests from genus Cryptolestes (Coleoptera: Laemophloeidae)
Jazyk angličtina Země Velká Británie, Anglie Médium print-electronic
Typ dokumentu hodnotící studie, časopisecké články, práce podpořená grantem
PubMed
25609404
DOI
10.1017/s0007485315000024
PII: S0007485315000024
Knihovny.cz E-zdroje
- Klíčová slova
- species-specific primer,
- MeSH
- brouci klasifikace genetika MeSH
- DNA primery * MeSH
- larva genetika MeSH
- molekulární sekvence - údaje MeSH
- polymerázová řetězová reakce MeSH
- potravinářská parazitologie * MeSH
- respirační komplex IV genetika MeSH
- sekvence nukleotidů MeSH
- sekvenční analýza DNA MeSH
- studie proveditelnosti MeSH
- taxonomické DNA čárové kódování * MeSH
- zvířata MeSH
- Check Tag
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- hodnotící studie MeSH
- práce podpořená grantem MeSH
- Názvy látek
- DNA primery * MeSH
- respirační komplex 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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