• Title of article

    A Multiplex PCR Assay for Simultaneous Discrimination of Two Predominant Spider Mites of the Genus Tetranychus (Acari: Tetranychidae) in Greenhouses of Iran

  • Author/Authors

    Sinaie ، S. - Ferdowsi University of Mashhad , Sadeghi Namaghi ، H. - Ferdowsi University of Mashhad , Fekrat ، L. - Ferdowsi University of Mashhad

  • Pages
    12
  • From page
    733
  • To page
    744
  • Abstract
    Molecular species identification has become more ubiquitous in diagnostics of insects, particularly in situations where morphological identification is a laborious or time-consuming process. Tetranychid mites are serious agricultural pests. Identification of tetranychid mites is usually arduous and requires a high level of taxonomic expertise because of their minute size, their close morphological similarities as well as limited number of diagnostic characters. Most species of the spider mites of the genus Tetranychus Dufour in Iran are morphologically similar, differing only in the diameter of the aedeagal knob in males. Because this genus contains many important pests, the unambiguous identification of species is crucial for effective pest management. In this study, a single-step multiplex Polymerase Chain Reaction (multiplex PCR) was used to discriminate two predominant spider mite species occurring in greenhouses in Iran: Tetranychus urticae Koch and Tetranychus turkestani (Ugarov and Nikolskii). The single-step multiplex PCR developed here, based on ITS regions, is rapid, reliable, sensitive and relatively simple. The entire identification protocol from DNA extraction to electrophoresis could be completed in four hours. Moreover, it is adequately simple to be implemented in any molecular laboratory.
  • Keywords
    DNA , based Identification , Molecular acarology , Tetranychid mites , Tetranychus turkestani , Tetranychus urticae
  • Journal title
    Journal of Agricultural Science and Technology
  • Serial Year
    2018
  • Journal title
    Journal of Agricultural Science and Technology
  • Record number

    2447947