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

被引:61
作者
deWaard, Jeremy R. [1 ,2 ]
Mitchell, Andrew [3 ]
Keena, Melody A. [4 ]
Gopurenko, David [5 ]
Boykin, Laura M. [6 ]
Armstrong, Karen F. [6 ]
Pogue, Michael G. [7 ]
Lima, Joao [8 ]
Floyd, Robin [8 ]
Hanner, Robert H. [8 ]
Humble, Leland M. [1 ,9 ]
机构
[1] Univ British Columbia, Vancouver, BC V5Z 1M9, Canada
[2] Royal British Columbia Museum, Victoria, BC, Canada
[3] Australian Museum, Sydney, NSW 2000, Australia
[4] USDA, No Res Stn, Hamden, CT USA
[5] Wagga Wagga Agr Inst, Wagga Wagga, NSW, Australia
[6] Lincoln Univ, Bioprotect Res Ctr, Christchurch, New Zealand
[7] USDA, Systemat Entomol Lab, Washington, DC 20250 USA
[8] Univ Guelph, Guelph, ON N1G 2W1, Canada
[9] Nat Resources Canada, Canadian Forest Serv, Victoria, BC, Canada
基金
美国国家科学基金会; 加拿大自然科学与工程研究理事会;
关键词
DNA BARCODES; GYPSY MOTHS; UNITED-STATES; IDENTIFICATION; POPULATIONS; INVASIONS; GENETICS; DIPTERA; MODEL; LIFE;
D O I
10.1371/journal.pone.0014280
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: 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. Methodology/Principal Findings: Cytochrome oxidase I (COI) barcodes were obtained from 518 individuals and 36 species of Lymantria, including sequences assembled and generated from previous studies, vouchered material in public collections, and intercepted specimens obtained from surveillance programs in Canada. A maximum likelihood tree was constructed, revealing high bootstrap support for 90% of species clusters. Bayesian species assignment was also tested, and resulted in correct assignment to species and subspecies in all instances. The performance of barcoding was also compared against the commonly employed NB restriction digest system (also based on COI); while the latter is informative for discriminating gypsy moth subspecies, COI barcode sequences provide greater resolution and generality by encompassing a greater number of haplotypes across all Lymantria species, none shared between species. Conclusions/Significance: This study demonstrates the efficacy of DNA barcodes for diagnosing species of Lymantria and reinforces the view that the approach is an under-utilized resource with substantial potential for biosecurity and surveillance. Biomonitoring agencies currently employing the NB restriction digest system would gather more information by transitioning to the use of DNA barcoding, a change which could be made relatively seamlessly as the same gene region underlies both protocols.
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