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      Testing the Global Malaise Trap Program – How well does the current barcode reference library identify flying insects in Germany?

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          Abstract

          Abstract
          Background

          Biodiversity patterns are inherently complex and difficult to comprehensively assess. Yet, deciphering shifts in species composition through time and space are crucial for efficient and successful management of ecosystem services, as well as for predicting change. To better understand species diversity patterns, Germany participated in the Global Malaise Trap Program, a world-wide collection program for arthropods using this sampling method followed by their DNA barcode analysis. Traps were deployed at two localities: “Nationalpark Bayerischer Wald” in Bavaria, the largest terrestrial Natura 2000 area in Germany, and the nature conservation area Landskrone, an EU habitats directive site in the Rhine Valley. Arthropods were collected from May to September to track shifts in the taxonomic composition and temporal succession at these locations.

          New information

          In total, 37,274 specimens were sorted and DNA barcoded, resulting in 5,301 different genetic clusters (BINs, Barcode Index Numbers, proxy for species) with just 7.6% of their BINs shared. Accumulation curves for the BIN count versus the number of specimens analyzed suggest that about 63% of the potential diversity at these sites was recovered with this single season of sampling. Diversity at both sites rose from May (496 & 565 BINs) to July (1,236 & 1,522 BINs) before decreasing in September (572 & 504 BINs). Unambiguous species names were assigned to 35% of the BINs (1,868) which represented 12,640 specimens. Another 7% of the BINs (386) with 1,988 specimens were assigned to genus, while 26% (1,390) with 12,092 specimens were only placed to a family. These results illustrate how a comprehensive DNA barcode reference library can identify unknown specimens, but also reveal how this potential is constrained by gaps in the quantity and quality of records in BOLD, especially for Hymenoptera and Diptera . As voucher specimens are available for morphological study, we invite taxonomic experts to assist in the identification of unnamed BINs.

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          Most cited references37

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          Next-generation monitoring of aquatic biodiversity using environmental DNA metabarcoding.

          Global biodiversity in freshwater and the oceans is declining at high rates. Reliable tools for assessing and monitoring aquatic biodiversity, especially for rare and secretive species, are important for efficient and timely management. Recent advances in DNA sequencing have provided a new tool for species detection from DNA present in the environment. In this study, we tested whether an environmental DNA (eDNA) metabarcoding approach, using water samples, can be used for addressing significant questions in ecology and conservation. Two key aquatic vertebrate groups were targeted: amphibians and bony fish. The reliability of this method was cautiously validated in silico, in vitro and in situ. When compared with traditional surveys or historical data, eDNA metabarcoding showed a much better detection probability overall. For amphibians, the detection probability with eDNA metabarcoding was 0.97 (CI = 0.90-0.99) vs. 0.58 (CI = 0.50-0.63) for traditional surveys. For fish, in 89% of the studied sites, the number of taxa detected using the eDNA metabarcoding approach was higher or identical to the number detected using traditional methods. We argue that the proposed DNA-based approach has the potential to become the next-generation tool for ecological studies and standardized biodiversity monitoring in a wide range of aquatic ecosystems.
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            Biodiversity soup: metabarcoding of arthropods for rapid biodiversity assessment and biomonitoring

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              DNA barcode-based delineation of putative species: efficient start for taxonomic workflows

              The analysis of DNA barcode sequences with varying techniques for cluster recognition provides an efficient approach for recognizing putative species (operational taxonomic units, OTUs). This approach accelerates and improves taxonomic workflows by exposing cryptic species and decreasing the risk of synonymy. This study tested the congruence of OTUs resulting from the application of three analytical methods (ABGD, BIN, GMYC) to sequence data for Australian hypertrophine moths. OTUs supported by all three approaches were viewed as robust, but 20% of the OTUs were only recognized by one or two of the methods. These OTUs were examined for three criteria to clarify their status. Monophyly and diagnostic nucleotides were both uninformative, but information on ranges was useful as sympatric sister OTUs were viewed as distinct, while allopatric OTUs were merged. This approach revealed 124 OTUs of Hypertrophinae, a more than twofold increase from the currently recognized 51 species. Because this analytical protocol is both fast and repeatable, it provides a valuable tool for establishing a basic understanding of species boundaries that can be validated with subsequent studies.
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                Author and article information

                Contributors
                Journal
                Biodivers Data J
                Biodivers Data J
                Biodiversity Data Journal
                Biodiversity Data Journal
                Biodiversity Data Journal
                Pensoft Publishers
                1314-2828
                2016
                01 December 2016
                : 4
                : e10671
                Affiliations
                []Zoologisches Forschungsmuseum Alexander Koenig, Bonn, Germany
                [§ ]SNSB-Zoologische Staatssammlung, München, Germany
                [| ]Centre for Biodiversity Genomics, Biodiversity Institute of Ontario, University of Guelph, Guelph, Canada
                Author notes
                Corresponding author: Matthias F. Geiger ( m.geiger@ 123456zfmk.de ).

                Academic editor: Lyubomir Penev

                Article
                Biodiversity Data Journal 6433
                10.3897/BDJ.4.e10671
                5136679
                27932930
                a643705c-1faa-40f1-873b-3dad1470bf42
                Matthias F. Geiger, Jerome Moriniere, Axel Hausmann, Gerhard Haszprunar, Wolfgang Wägele, Paul D.N. Hebert, Björn Rulik

                This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 28 September 2016
                : 29 November 2016
                Page count
                Figures: 6, Tables: 2, References: 45
                Funding
                Funded by: Genome Canada 100008762 http://doi.org/10.13039/100008762
                Categories
                Research Article

                dna barcoding,arthropods,reverse taxonomy,bin discordance,biomonitoring

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