Close congruence between Barcode Index Numbers (bins) and species boundaries in the Erebidae (Lepidoptera: Noctuoidea) of the Iberian Peninsula

The DNA barcode reference library for Lepidoptera holds much promise as a tool for taxonomic research and for providing the reliable identifications needed for conservation assessment programs. We gathered sequences for the barcode region of the mitochondrial cytochrome c oxidase subunit I gene from...

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Bibliographic Details
Main Authors: Antonio Ortiz, Rosa Rubio, Juan Guerrero, Manuel Garre, Jose Serrano, Paul Hebert, Axel Hausmann
Format: Article
Language:English
Published: Pensoft Publishers 2017-08-01
Series:Biodiversity Data Journal
Subjects:
Online Access:https://bdj.pensoft.net/articles.php?id=19840
Description
Summary:The DNA barcode reference library for Lepidoptera holds much promise as a tool for taxonomic research and for providing the reliable identifications needed for conservation assessment programs. We gathered sequences for the barcode region of the mitochondrial cytochrome c oxidase subunit I gene from 160 of the 176 nominal species of Erebidae moths (Insecta: Lepidoptera) known from the Iberian Peninsula. These results arise from a research project which constructing a DNA barcode library for the insect species of Spain. New records for 271 specimens (122 species) are coupled with preexisting data for 38 species from the Iberian fauna. Mean interspecific distance was 12.1%, while the mean nearest neighbour divergence was 6.4%. All 160 species possessed diagnostic barcode sequences, but one pair of congeneric taxa (Eublemma rosea and Eublemma rietzi) were assigned to the same BIN. As well, intraspecific sequence divergences higher than 1.5% were detected in four species which likely represent species complexes. This study reinforces the effectiveness of DNA barcoding as a tool for monitoring biodiversity in particular geographical areas and the strong correspondence between sequence clusters delineated by BINs and species recognized through detailed taxonomic analysis.
ISSN:1314-2836
1314-2828