Literature DB >> 25641860

A qPCR-based method for detecting parasitism of Fopius arisanus (Sonan) in oriental fruit flies, Bactrocera dorsalis (Hendel).

Guang Hong Liang1, Eric B Jang2, Wade P Heller2, Chiou Ling Chang2, Jia Hua Chen3, Fei Ping Zhang1, Scott M Geib2.   

Abstract

BACKGROUND: Parasitism detection and species identification are necessary in fruit fly biological control. Currently, release of mass-reared Fopius arisanus is practiced worldwide, as it is effective in controlling Bactrocera dorsalis and Ceratitis capitata. To detect and assess parasitism in parasitoid mass-rearing colonies and parasitism levels in field populations across all life stages of hosts, the development of a rapid, specific and sensitive method is important.
RESULTS: A species-specific probe was designed for F. arisanus, as well as a universal tephritid probe. Utilizing rapid DNA extraction techniques coupled with quantitative-PCR, a simple and fast assay has been developed to detect parasitism of F. arisanus that is sensitive enough to detect the parasitoid across all developmental stages, including a single egg per host egg or 0.25 ng of parasitoid DNA in 40 ng of host DNA. The qPCR methods also detect a higher parasitism rate when compared with rearing-based methods where parasitism rate is based on wasp emergence and where unemerged wasps are not included.
CONCLUSION: This method is a rapid, sensitive and specific technique to determine the parasitism rate of F. arisanus across all life stages of B. dorsalis, which will be useful to predict parasitoid output from mass rearing and evaluate the outcome of pest suppression after mass release in the field. Published 2015. This article is a U.S. Government work and is in the public domain in the USA.

Entities:  

Keywords:  Bactrocera dorsalis (Hendel); Fopius arisanus (Sonan); parasitism rate; qPCR

Mesh:

Year:  2015        PMID: 25641860     DOI: 10.1002/ps.3976

Source DB:  PubMed          Journal:  Pest Manag Sci        ISSN: 1526-498X            Impact factor:   4.845


  1 in total

1.  Deciphering host-parasitoid interactions and parasitism rates of crop pests using DNA metabarcoding.

Authors:  Ahmadou Sow; Thierry Brévault; Laure Benoit; Marie-Pierre Chapuis; Maxime Galan; Armelle Coeur d'acier; Gérard Delvare; Mbacké Sembène; Julien Haran
Journal:  Sci Rep       Date:  2019-03-06       Impact factor: 4.379

  1 in total

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