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Towards a Global Barcode Library for Lymantria (Lepidoptera: Lymantriinae) Tussock Moths of Biosecurity Concern

Overview of attention for article published in PLOS ONE, December 2010
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Title
Towards a Global Barcode Library for Lymantria (Lepidoptera: Lymantriinae) Tussock Moths of Biosecurity Concern
Published in
PLOS ONE, December 2010
DOI 10.1371/journal.pone.0014280
Pubmed ID
Authors

Jeremy R. deWaard, Andrew Mitchell, Melody A. Keena, David Gopurenko, Laura M. Boykin, Karen F. Armstrong, Michael G. Pogue, Joao Lima, Robin Floyd, Robert H. Hanner, Leland M. Humble

Abstract

Detecting and controlling the movements of invasive species, such as insect pests, relies upon rapid and accurate species identification in order to initiate containment procedures by the appropriate authorities. Many species in the tussock moth genus Lymantria are significant forestry pests, including the gypsy moth Lymantria dispar L., and consequently have been a focus for the development of molecular diagnostic tools to assist in identifying species and source populations. In this study we expand the taxonomic and geographic coverage of the DNA barcode reference library, and further test the utility of this diagnostic method, both for species/subspecies assignment and for determination of geographic provenance of populations.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 3%
United States 1 1%
Germany 1 1%
Australia 1 1%
Unknown 62 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 45%
Student > Ph. D. Student 16 24%
Student > Bachelor 4 6%
Other 4 6%
Student > Master 3 4%
Other 6 9%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 70%
Biochemistry, Genetics and Molecular Biology 6 9%
Environmental Science 5 7%
Economics, Econometrics and Finance 1 1%
Psychology 1 1%
Other 2 3%
Unknown 5 7%