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      First record of Scopula orientalis (Alphéraky, 1876) (Lepidoptera, Geometridae) in Romania, at the northern limit of the Balkans

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      Nota Lepidopterologica
      Pensoft Publishers

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          Abstract

          The geometrid moth Scopula orientalis (Alphéraky, 1876) has an apparently disjunct distribution in Europe, with local populations in the Balkans (Macedonia, Bulgaria and Albania where recently discovered), as well as in Ukraine and southern European Russia. In this study, based on morphological and mitochondrial DNA (cytochrome c oxidase subunit 1 – COI) data, we report the presence of S. orientalis in south-eastern Romania (Dobrogea), at the northernmost limit of the Balkans. The flight time (September) of the recorded specimen, is the latest seasonal record for the Balkans, supporting the presence of at least a partial second generation. The Romanian specimen represented a unique COI haplotype which is differentiated by seven mutations from its genetically closest population in Sivas province, Turkey. The presence of S. orientalis in Romania reduces the distributional gap between the known Balkan and Ukrainian populations and highlights the potential for a more widespread distribution that needs documentation based on directed studies.

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          Genetic Patterns in European Geometrid Moths Revealed by the Barcode Index Number (BIN) System

          Background The geometrid moths of Europe are one of the best investigated insect groups in traditional taxonomy making them an ideal model group to test the accuracy of the Barcode Index Number (BIN) system of BOLD (Barcode of Life Datasystems), a method that supports automated, rapid species delineation and identification. Methodology/Principal Findings This study provides a DNA barcode library for 219 of the 249 European geometrid moth species (88%) in five selected subfamilies. The data set includes COI sequences for 2130 specimens. Most species (93%) were found to possess diagnostic barcode sequences at the European level while only three species pairs (3%) were genetically indistinguishable in areas of sympatry. As a consequence, 97% of the European species we examined were unequivocally discriminated by barcodes within their natural areas of distribution. We found a 1:1 correspondence between BINs and traditionally recognized species for 67% of these species. Another 17% of the species (15 pairs, three triads) shared BINs, while specimens from the remaining species (18%) were divided among two or more BINs. Five of these species are mixtures, both sharing and splitting BINs. For 82% of the species with two or more BINs, the genetic splits involved allopatric populations, many of which have previously been hypothesized to represent distinct species or subspecies. Conclusions/Significance This study confirms the effectiveness of DNA barcoding as a tool for species identification and illustrates the potential of the BIN system to characterize formal genetic units independently of an existing classification. This suggests the system can be used to efficiently assess the biodiversity of large, poorly known assemblages of organisms. For the moths examined in this study, cases of discordance between traditionally recognized species and BINs arose from several causes including overlooked species, synonymy, and cases where DNA barcodes revealed regional variation of uncertain taxonomic significance.
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            Systematic position of Lythriini revised: transferred from Larentiinae to Sterrhinae (Lepidoptera, Geometridae)

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              DNA barcoding confirms species rank for a cryptic geometrid species from Turkey and Bulgaria (Lepidoptera Geometridae Sterrhinae)

              FEZA CAN (2009)
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                Author and article information

                Journal
                Nota Lepidopterologica
                NL
                Pensoft Publishers
                2367-5365
                0342-7536
                July 30 2018
                July 30 2018
                : 41
                : 2
                : 189-197
                Article
                10.3897/nl.41.24316
                41cee2ae-01a4-4732-976c-f1ceb5a9c005
                © 2018

                http://creativecommons.org/licenses/by/4.0/

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