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COI barcode based species-specific primers for identification of five species of stored-product pests from genus Cryptolestes (Coleoptera: Laemophloeidae)

Published online by Cambridge University Press:  22 January 2015

Z. Varadínová
Affiliation:
Department of Entomology, China Agricultural University, No. 2 Yuanmingyuan West Road, Beijing, China Department of Zoology, Faculty of Science, Charles University in Prague, Viničná 7, Prague, Czech Republic
Y. J. Wang
Affiliation:
Department of Entomology, China Agricultural University, No. 2 Yuanmingyuan West Road, Beijing, China
Z. Kučerová
Affiliation:
Department of Pest Control of Stored Products and Food Safety, Crop Research Institute, Drnovská 507, Prague, Czech Republic
V. Stejskal
Affiliation:
Department of Pest Control of Stored Products and Food Safety, Crop Research Institute, Drnovská 507, Prague, Czech Republic
G. Opit
Affiliation:
Department of Entomology and Plant Pathology, Oklahoma State University, 127 Noble Research Center, Stillwater, Oklahoma, USA
Y. Cao
Affiliation:
Academy of State Administration of Grain, No. 11 Baiwanzhuang Street, Beijing, China
F. J. Li
Affiliation:
Academy of State Administration of Grain, No. 11 Baiwanzhuang Street, Beijing, China
Z. H. Li*
Affiliation:
Department of Entomology, China Agricultural University, No. 2 Yuanmingyuan West Road, Beijing, China
*
*Author for correspondence Phone: +86-10-62731299 Fax: +86-10-62733404 E-mail: [email protected]

Abstract

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).

Type
Research Papers
Copyright
Copyright © Cambridge University Press 2015 

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