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      A reference library for Canadian invertebrates with 1.5 million barcodes, voucher specimens, and DNA samples

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      Scientific Data
      Nature Publishing Group UK
      Biodiversity, Taxonomy, Molecular ecology, Next-generation sequencing, Entomology

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          Abstract

          The reliable taxonomic identification of organisms through DNA sequence data requires a well parameterized library of curated reference sequences. However, it is estimated that just 15% of described animal species are represented in public sequence repositories. To begin to address this deficiency, we provide DNA barcodes for 1,500,003 animal specimens collected from 23 terrestrial and aquatic ecozones at sites across Canada, a nation that comprises 7% of the planet’s land surface. In total, 14 phyla, 43 classes, 163 orders, 1123 families, 6186 genera, and 64,264 Barcode Index Numbers (BINs; a proxy for species) are represented. Species-level taxonomy was available for 38% of the specimens, but higher proportions were assigned to a genus (69.5%) and a family (99.9%). Voucher specimens and DNA extracts are archived at the Centre for Biodiversity Genomics where they are available for further research. The corresponding sequence and taxonomic data can be accessed through the Barcode of Life Data System, GenBank, the Global Biodiversity Information Facility, and the Global Genome Biodiversity Network Data Portal.

          Abstract

          Measurement(s) DNA • digital imaging
          Technology Type(s) taxonomic diversity assessment by targeted gene survey • digital curation
          Factor Type(s) species • geographic location • habitat
          Sample Characteristic - Organism Metazoa
          Sample Characteristic - Environment terrestrial biome • freshwater biome • marine biome
          Sample Characteristic - Location Canada

          Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.10298354

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          Most cited references66

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          Biological identifications through DNA barcodes.

          Although much biological research depends upon species diagnoses, taxonomic expertise is collapsing. We are convinced that the sole prospect for a sustainable identification capability lies in the construction of systems that employ DNA sequences as taxon 'barcodes'. We establish that the mitochondrial gene cytochrome c oxidase I (COI) can serve as the core of a global bioidentification system for animals. First, we demonstrate that COI profiles, derived from the low-density sampling of higher taxonomic categories, ordinarily assign newly analysed taxa to the appropriate phylum or order. Second, we demonstrate that species-level assignments can be obtained by creating comprehensive COI profiles. A model COI profile, based upon the analysis of a single individual from each of 200 closely allied species of lepidopterans, was 100% successful in correctly identifying subsequent specimens. When fully developed, a COI identification system will provide a reliable, cost-effective and accessible solution to the current problem of species identification. Its assembly will also generate important new insights into the diversification of life and the rules of molecular evolution.
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            Environmental DNA metabarcoding: Transforming how we survey animal and plant communities

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              • Article: not found

              An inexpensive, automation-friendly protocol for recovering high-quality DNA

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                Author and article information

                Contributors
                phebert@uoguelph.ca
                Journal
                Sci Data
                Sci Data
                Scientific Data
                Nature Publishing Group UK (London )
                2052-4463
                6 December 2019
                6 December 2019
                2019
                : 6
                : 308
                Affiliations
                [1 ]ISNI 0000 0004 1936 8198, GRID grid.34429.38, Centre for Biodiversity Genomics, , University of Guelph, Guelph, ; Ontario, Canada
                [2 ]ISNI 0000 0001 0805 4386, GRID grid.415368.d, Present Address: Public Health Agency of Canada, ; Guelph, Ontario Canada
                [3 ]ISNI 0000 0004 1936 8200, GRID grid.55602.34, Present Address: Ocean Frontier Institute, , Dalhousie University, ; Halifax, Nova Scotia Canada
                Author information
                http://orcid.org/0000-0001-9778-5454
                http://orcid.org/0000-0002-8992-575X
                http://orcid.org/0000-0002-7388-8202
                http://orcid.org/0000-0003-1860-3523
                http://orcid.org/0000-0002-4302-3048
                Article
                320
                10.1038/s41597-019-0320-2
                6897906
                31811161
                f86c01de-8e36-47f7-bec8-8d4fbc3361c8
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.

                History
                : 2 August 2019
                : 11 November 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100003400, Ontario Ministry of Research, Innovation and Science (Ministère de la Recherche, de l'Innovation et des Sciences);
                Funded by: Global Genome Biodiversity Network - Global Genome Initiative
                Funded by: Ontario Ministry of Research, Innovation and Science (Ministère de la Recherche, de l'Innovation et des Sciences)
                Funded by: FundRef https://doi.org/10.13039/501100010785, Canada First Research Excellence Fund (Fonds d'excellence en recherche Apogée Canada);
                Funded by: FundRef https://doi.org/10.13039/501100000196, Canada Foundation for Innovation (Fondation canadienne pour l'innovation);
                Funded by: FundRef https://doi.org/10.13039/100008762, Genome Canada (Génome Canada);
                Funded by: FundRef https://doi.org/10.13039/100013061, Ontario Genomics (OG);
                Funded by: FundRef https://doi.org/10.13039/501100000038, Gouvernement du Canada | Natural Sciences and Engineering Research Council of Canada (Conseil de Recherches en Sciences Naturelles et en Génie du Canada);
                Funded by: FundRef https://doi.org/10.13039/100000936, Gordon and Betty Moore Foundation (Gordon E. and Betty I. Moore Foundation);
                Funded by: Ontario Ministry of Research, Innovation and Science (Ministère de la Recherche, de l'Innovation et des Sciences)
                Funded by: Ann McCain Evans and Chris Evans
                Categories
                Data Descriptor
                Custom metadata
                © The Author(s) 2019

                biodiversity,taxonomy,molecular ecology,next-generation sequencing,entomology

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