Comparative performances of DNA barcoding across insect orders |
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| Authors: | Massimiliano Virgilio Thierry Backeljau Bruno Nevado Marc De Meyer |
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| Institution: | (1) Royal Museum for Central Africa, Leuvensesteenweg 13, 3080 Tervuren, Belgium;(2) Royal Belgian Institute of Natural Sciences, Vautierstraat 29, 1000 Brussels, Belgium;(3) Department of Biology, University of Antwerp, Groenenborgerlaan 171, B-2020 Antwerp, Belgium |
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| Abstract: | Background Previous studies on insect DNA barcoding provide contradictory results and suggest not consistent performances across orders.
This work aims at providing a general evaluation of insect DNA barcoding and "mini-barcoding" by performing simulations on
a large database of 15,948 DNA barcodes. We compared the proportions of correctly identified queries across a) six insect
orders (Coleoptera, Diptera, Hemiptera, Hymenoptera, Lepidoptera and Orthoptera), b) four identification criteria (Best Match:
BM; Best Close Match: BCM; All Species Barcodes: ASB; tree-based identification: NJT), and c) reference databases with different
taxon coverage (100, 500, 1,000, 1,500 and 1,995 insect species). |
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