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      From field courses to DNA barcoding data release for West Papua - making specimens and identifications from university courses more sustainable

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          Abstract

          Abstract The diversity of insects collected during entomological field courses at the University of West Papua (UNIPA), Indonesia, is studied using DNA barcoding tools. The results were compared with public data available for West Papua in the Barcode of Life Data System. During two training courses in 2013 and 2015, 1,052 specimens of insects were collected at eight sites near Manokwari in northern West Papua. The DNA sequences obtained from these specimens were assigned to 311 Barcode Index Numbers (BINs) and represent species in 27 families of Lepidoptera , Hymenoptera and Coleoptera . Of those BINs, 294 (95%) were new to West Papua. The study suggests that DNA barcoding applied to university courses achieves several goals, including capacity building and hands-on experience in molecular biodiversity assessment. In addition, it can provide valuable biodiversity data that are globally available to researchers for further studies. Introduction Carrying out field courses for students is a central aspect of any capacity building effort at universities, including and perhaps especially so in tropical countries (see Basset et al. 2000, Basset et al. 2004, Novotny et al. 2012, Tänzler et al. 2012, Rintelen et al. 2017). They serve mainly the purpose of demonstrating sampling, preparation and identification methods for insects and other arthropods. The scientific value of insect collecting during student courses can be dramatically increased if the specimens are adequately preserved and/or mounted for long-term storage in a scientific collection (Lopez-Vaamonde et al. 2012, Schmidt et al. 2017). This applies even more if samples are then utilised for more sustainable methods of biodiversity assessment, such as DNA barcode analysis and if sequence and associated collecting data are generally accessible for researchers nationally and internationally (see Hebert et al. 2003, Hajibabaei et al. 2005, Janzen et al. 2009, Gwiazdowski et al. 2015, Wirta et al. 2015, Miller et al. 2016). The present study makes an attempt to use specimens of insects collected during student courses in a more sustainable way. In particular, we tried to maximise the potential benefit of field and entomological training courses at the University of West Papua (UNIPA) on the western part of the island of New Guinea. The courses were conducted by a team of entomologists from the Zoologische Staatssammlung (ZSM) in Munich, Germany, which was followed up by a repeated staff exchange from UNIPA to the ZSM. Material and Methods The methods were described in Cancian de Araujo et al. (2017), with the following differences: Specimen collecting and processing In 2013 and 2015, 1,052 specimens of insects were collected during capacity building courses by lecturers and students of the State University of Papua (UNIPA) in Manokwari. The collections mainly served as a vehicle to demonstrate field survey methods and subsequent laboratory procedures for sustainable biodiversity inventory and discovery. Targeted field work was coordinated by RP and AK and part of the laboratory work was conducted by RP during her stay at the SNSB-Zoologische Staatssammlung München (ZSM, Bavarian State Collection of Zoology) in 2014 under the supervision of MB, SS and OS. Samples were collected at eight sites in the Indonesian province West Papua, viz. Fumato, Kebar Village, Minyambo, Mubrani, Syoubri, Senopi, Gunung Meja and the Papua University Campus in Manokwari (Fig. 1). The latter was a short Malaise trapping exercise with one trap that was operated for three weeks. For more details about the field and lab protocols see Schmidt et al. (2015), Schmidt et al. (2017) and below. The specimen data are accessible on BOLD through the following doi: 10.5883/DS-INWPAPUA and through GenBank (Accession nos MH094885-MH095566), Data acquisition The specimen data and result files generated for the present study were downloaded directly from the Barcode of Life Data Systems (BOLD, http://www.boldsystems.org) workbench. In addition, all other public records from the province West Papua and other Indonesian areas from the western half of the island of New Guinea present in BOLD were obtained through the REST API of the BOLD platform on 31-Jan-2018. We applied the “Full Data Retrieval” parameters geo=Papua|West%20Papua|Papua%20Barat and marker=COI–5P in order to gather all public records from West Papua with the standard DNA barcoding marker (COI–5P). Data processing The files that were downloaded contained information on each record including the Barcode Index Number (BIN), collection data and taxonomy. The data were evaluated in terms of BIN diversity, spatial distribution of specimens, taxonomic identification depth and taxonomic diversity. The results were compared in terms of diversity of BINs, exclusive and shared BINs and BIN distribution. Analyses and comparisons were made using Microsoft Excel. The number of BINs shared by the two sources was evaluated and after that, the shared BINs were subtracted from our West Papua list in order to highlight the contribution of our case study for West Papuan records in general. The map with collecting records was created using Quantum GIS (vers. 2.8). Results Between 2013 and 2015, 1,052 specimens from West Papua were processed. The records are distributed in six areas in West Papua and were collected at altitudes between 80 and 1,555 meters above sea level. The taxa belong to three insect orders: Coleoptera (108), Hymenoptera (217) and Lepidoptera (727). The geographic distribution per site and taxon are presented in Fig. 1. Out of these 1,052 specimens, the CO1-5P barcode sequence was recovered from 686 specimens, corresponding to 311 BINs from at least 27 families of insects (Fig. 2). When searching for public data of arthropods from West Papua in BOLD, we recovered 1,268 records that were assigned to 584 BINs. The records belong to 10 orders with the most common being Lepidoptera (910 records, 441 BINs), Coleoptera (214 records, 68 BINs) and Decapoda (60 records, 30 BINs). When comparing our records with the public data available on BOLD, only 17 BINs (5%) had been recorded before from West Papua, whereas 294 BINs (95%) were new records for this area in BOLD. A comparison of BINs recorded in our study that were also recorded from elsewhere showed that 74 BINs (24%) were already present in BOLD from regions outside of West Papua, mainly from Australia (39 BINs), Papua New Guinea (23 BINs), French Polynesia (6 BINs) and Indonesian locations other than West Papua (23 BINs) (Table 1). The species is given if the BIN was associated with a species (or genus) name in BOLD, but it should be stressed that, for many species, the barcode-based species level identification require verification based on morphology by a specialist. Two taxa, Spoladea recurvalis ( Lepidoptera , Crambidae ) and a species of Cotesia ( Hymenoptera , Braconidae ), had a wider distribution with records from five or more countries (Table 1). The remaining 237 BINs (76%) were recorded excusively from West Papua. Discussion The high number of BINs that are exclusive to an area with comparatively well studied surroundings, highlights the urgency of studying the biodiversity of tropical regions. Analysis of 1,052 specimens increased the diversity of known species in this particular area 1.5-fold, from 583 to 877 species, as expressed by BINs that have been shown to closely relate to biological species. This was achieved by analysing a handful of randomly collected samples obtained by students during field courses under the supervision of entomologists from the ZSM (Munich). Even for well studied groups like Lepidoptera , the study led to an increase of 205 BINs, corresponding to nearly one third (32%) of all species known so far for this insect order from West Papua. For less well known groups like Hymenoptera and Coleoptera , all BINs were new to West Papua. It is important to stress that nearly all Coleoptera and Hymenoptera specimens of the present study were collected at one site, the campus of the Papua University at Manokwari, showing the potential for a significantly higher number of discoveries with a broader sampling regime across different elevations and actually investigating primary forest areas. The Geometridae ( Lepidoptera ) was a target group for collecting which explains the predominance of geometrid moths, representing nearly half (48%) of the BINs. Our study suggests that DNA barcoding applied to university courses achieves several goals, including capacity building, hands-on experience in molecular biodiversity assessment and it provides valuable data that are globally available by researchers for further studies (see also Vernooy et al. 2010). Specimens that would usually only be identified to order or perhaps genus level (and then often forgotten) can now serve to provide data in a sustainable manner. The data have become a community resource and are available for local researchers to benefit their research. Ideally, the next steps would include more focussed and specific project orientated field- and laboratory work that could strongly support the analysis of large scale patterns of diversity as outlined by Tänzler et al. (2012). In a very similar context, DNA barcoding applied to samples obtained through activities of citizen scientists in remote localities (Janzen and Hallwachs 2011, Miller et al. 2014, Wilson et al. 2015, Jisming-See et al. 2016, Loos et al. 2015, Schilthuizen et al. 2017, Suprayitno et al. 2017, Freitag et al. 2018) could make significant, objective contributions to our understanding of the patterns of global biodiversity. Finally, this simple experiment provided additional occurrence records for virtually cosmopolitan species like the Lepidoptera , Crambidae : Spoladea recurvalis and a widespread species of braconid wasps ( Hymenoptera , Braconidae , Cotesia sp.), confirming the usefulness of DNA barcoding for the large scale assessment of global distribution patterns and also for monitoring the distribution and spread of invasive species.

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          Most cited references22

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          Critical factors for assembling a high volume of DNA barcodes.

          Large-scale DNA barcoding projects are now moving toward activation while the creation of a comprehensive barcode library for eukaryotes will ultimately require the acquisition of some 100 million barcodes. To satisfy this need, analytical facilities must adopt protocols that can support the rapid, cost-effective assembly of barcodes. In this paper we discuss the prospects for establishing high volume DNA barcoding facilities by evaluating key steps in the analytical chain from specimens to barcodes. Alliances with members of the taxonomic community represent the most effective strategy for provisioning the analytical chain with specimens. The optimal protocols for DNA extraction and subsequent PCR amplification of the barcode region depend strongly on their condition, but production targets of 100K barcode records per year are now feasible for facilities working with compliant specimens. The analysis of museum collections is currently challenging, but PCR cocktails that combine polymerases with repair enzyme(s) promise future success. Barcode analysis is already a cost-effective option for species identification in some situations and this will increasingly be the case as reference libraries are assembled and analytical protocols are simplified.
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            Integration of DNA barcoding into an ongoing inventory of complex tropical biodiversity.

            Inventory of the caterpillars, their food plants and parasitoids began in 1978 for today's Area de Conservacion Guanacaste (ACG), in northwestern Costa Rica. This complex mosaic of 120 000 ha of conserved and regenerating dry, cloud and rain forest over 0-2000 m elevation contains at least 10 000 species of non-leaf-mining caterpillars used by more than 5000 species of parasitoids. Several hundred thousand specimens of ACG-reared adult Lepidoptera and parasitoids have been intensively and extensively studied morphologically by many taxonomists, including most of the co-authors. DNA barcoding - the use of a standardized short mitochondrial DNA sequence to identify specimens and flush out undisclosed species - was added to the taxonomic identification process in 2003. Barcoding has been found to be extremely accurate during the identification of about 100 000 specimens of about 3500 morphologically defined species of adult moths, butterflies, tachinid flies, and parasitoid wasps. Less than 1% of the species have such similar barcodes that a molecularly based taxonomic identification is impossible. No specimen with a full barcode was misidentified when its barcode was compared with the barcode library. Also as expected from early trials, barcoding a series from all morphologically defined species, and correlating the morphological, ecological and barcode traits, has revealed many hundreds of overlooked presumptive species. Many but not all of these cryptic species can now be distinguished by subtle morphological and/or ecological traits previously ascribed to 'variation' or thought to be insignificant for species-level recognition. Adding DNA barcoding to the inventory has substantially improved the quality and depth of the inventory, and greatly multiplied the number of situations requiring further taxonomic work for resolution. © 2009 Blackwell Publishing Ltd and Crown in the right of Canada.
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              DNA barcoding largely supports 250 years of classical taxonomy: identifications for Central European bees (Hymenoptera, Apoidea partim).

              This study presents DNA barcode records for 4118 specimens representing 561 species of bees belonging to the six families of Apoidea (Andrenidae, Apidae, Colletidae, Halictidae, Megachilidae and Melittidae) found in Central Europe. These records provide fully compliant barcode sequences for 503 of the 571 bee species in the German fauna and partial sequences for 43 more. The barcode results are largely congruent with traditional taxonomy as only five closely allied pairs of species could not be discriminated by barcodes. As well, 90% of the species possessed sufficiently deep sequence divergence to be assigned to a different Barcode Index Number (BIN). In fact, 56 species (11%) were assigned to two or more BINs reflecting the high levels of intraspecific divergence among their component specimens. Fifty other species (9.7%) shared the same Barcode Index Number with one or more species, but most of these species belonged to a distinct barcode cluster within a particular BIN. The barcode data contributed to clarifying the status of nearly half the examined taxonomically problematic species of bees in the German fauna. Based on these results, the role of DNA barcoding as a tool for current and future taxonomic work is discussed.
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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
                2018
                05 June 2018
                : 6
                : e25237
                Affiliations
                [1 ] SNSB-Zoologische Staatssammlung München, Munich, Germany
                [2 ] Museum für Naturkunde, Leibniz-Institut für Evolutions- und Biodiversitätsforschung, Berlin, Germany
                [3 ] Department of Biology, Faculty of Sciences and Mathematics, State University of Papua (UNIPA), Jalan Gunung Salju Amban, Manokwari, Indonesia
                Author notes
                Corresponding author: Bruno Cancian de Araujo ( chalcididae@ 123456gmail.com ).

                Academic editor: Dmitry Schigel

                Author information
                https://orcid.org/0000-0001-5751-8706
                Article
                Biodiversity Data Journal 8778
                10.3897/BDJ.6.e25237
                5997734
                ea0eb012-4530-4d52-a9e5-2bdb658670bc
                Bruno Cancian de Araujo, Stefan Schmidt, Olga Schmidt, Thomas von Rintelen, Agustinus Kilmaskossu, Rawati Panjaitan, Michael Balke

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

                History
                : 23 March 2018
                : 29 May 2018
                Page count
                Figures: 2, Tables: 1, References: 24
                Categories
                Short Communications
                Coleoptera
                Hymenoptera
                Lepidoptera
                Biodiversity & Conservation
                Molecular biology
                Zoology & Animal Biology
                Papua

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