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Field Performance of a Genetically Engineered Strain of Pink Bollworm

Overview of attention for article published in PLOS ONE, September 2011
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Title
Field Performance of a Genetically Engineered Strain of Pink Bollworm
Published in
PLOS ONE, September 2011
DOI 10.1371/journal.pone.0024110
Pubmed ID
Authors

Gregory S. Simmons, Andrew R. McKemey, Neil I. Morrison, Sinead O'Connell, Bruce E. Tabashnik, John Claus, Guoliang Fu, Guolei Tang, Mickey Sledge, Adam S. Walker, Caroline E. Phillips, Ernie D. Miller, Robert I. Rose, Robert T. Staten, Christl A. Donnelly, Luke Alphey

Abstract

Pest insects harm crops, livestock and human health, either directly or by acting as vectors of disease. The Sterile Insect Technique (SIT)--mass-release of sterile insects to mate with, and thereby control, their wild counterparts--has been used successfully for decades to control several pest species, including pink bollworm, a lepidopteran pest of cotton. Although it has been suggested that genetic engineering of pest insects provides potential improvements, there is uncertainty regarding its impact on their field performance. Discrimination between released and wild moths caught in monitoring traps is essential for estimating wild population levels. To address concerns about the reliability of current marking methods, we developed a genetically engineered strain of pink bollworm with a heritable fluorescent marker, to improve discrimination of sterile from wild moths. Here, we report the results of field trials showing that this engineered strain performed well under field conditions. Our data show that attributes critical to SIT in the field--ability to find a mate and to initiate copulation, as well as dispersal and persistence in the release area--were comparable between the genetically engineered strain and a standard strain. To our knowledge, these represent the first open-field experiments with a genetically engineered insect. The results described here provide encouragement for the genetic control of insect pests.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
Italy 1 1%
Morocco 1 1%
Brazil 1 1%
Unknown 78 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 26%
Student > Master 14 17%
Other 10 12%
Student > Bachelor 8 10%
Researcher 7 9%
Other 10 12%
Unknown 12 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 45%
Biochemistry, Genetics and Molecular Biology 13 16%
Economics, Econometrics and Finance 4 5%
Social Sciences 3 4%
Psychology 2 2%
Other 8 10%
Unknown 15 18%