From stored-product psocids to the other pests: the developments, problems and prospects on research and application of molecular identification

Vortrag

Autor/innen

  • Zhihong Li Department of Entomology, China Agricultural University, No. 2 Yuanmingyuan West Road, Beijing, China
  • Vaclav Stejskal Department of Pest Control of Stored Products and Food Safety, Crop Research Institute, Drnovská 507, Prague, Czech Republic
  • George Opit Department of Entomology and Plant Pathology, Oklahoma State University, 127 Noble Research Center, Stillwater, Oklahoma, 74078-3033, USA
  • Yang Cao Academy of State Administration of Grain, No. 11 Baiwanzhuang Street, Beijing, China
  • James E. Throne USDA-ARS San Joaquin Valley Agricultural Sciences Center, 9611 South Riverbend Avenue, Parlier CA 93648- 9757, USA

DOI:

https://doi.org/10.5073/jka.2018.463.052

Abstract

Psocids, beetles, moths and mites are regarded as the common kinds of stored-product pests in the world. The rapid and correct identification of stored-product pests is significant for quarantine, monitoring and control purposes. Molecular methods and techniques have been studied and applied for stored-product pest identification. Based on collection and analysis of literature in the last decade, this paper reviews the developments, questions and prospects for molecular identification of stored-product pests. As a representative model, the molecular methods and techniques for species identification of stored-product psocid pests were developed and applied systematically based on international collaboration involving China, Czech Republic, the United States and other countries. More than 10 studies on stored-product psocids related to RFLP, DNA barcoding, PCR, real-time PCR and gene chip have been published during this decade. Subsequently, DNA barcoding, PCR and real-time PCR techniques for the identification of common species of Tribolium and Cryptolestes pests of stored products have been reported by the same international team. Recently, a web system called Grain Pests DNA Barcode Identification System (GPDBIS) has been established in China using SOL SERVER and C#. Like a marathon that requires persistence, we should do our best to continue to promote research and application of molecular identification of stored-product pests with more international collaboration.

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Veröffentlicht

2018-10-24