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      Functional and taxonomic responses of tropical moth communities to deforestation

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          Fitting Linear Mixed-Effects Models Usinglme4

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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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                Author and article information

                Contributors
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                Journal
                Insect Conservation and Diversity
                Insect Conserv Diversity
                Wiley
                1752-458X
                1752-4598
                March 2022
                November 08 2021
                March 2022
                : 15
                : 2
                : 236-247
                Affiliations
                [1 ]CEFE, Univ Montpellier, CNRS, EPHE, IRD, Univ Paul Valéry Montpellier 3 Montpellier France
                [2 ]Grupo de Entomología Universidad de Antioquia (GEUA). AA 1226. Medellín Colombia
                [3 ]Muséum national d'Histoire naturelle Institut de Systématique, Évolution, Biodiversité, UMR 7205 ISYEB, MNHN, CNRS, EPHE, Sorbonne Univ, Univ Antilles Paris France
                [4 ]CESAB, Centre de Synthèse et d'Analyse sur la Biodiversité Montpellier France
                [5 ]Grupo de Investigación Diseño, Imagen y Comunicación, Facultad de Creación y Comunicación, Universidad El Bosque Bogotá Colombia
                [6 ]Department of Environmental Sciences University of Basel Basel Switzerland
                [7 ]Museum of Natural History University of Colorado Boulder CO USA
                [8 ]Univ Lyon, Université Claude Bernard Lyon 1, CNRS, ENTPE, UMR 5023 LEHNA Villeurbanne France
                [9 ]Centre for Biodiversity Genomics University of Guelph Guelph ON Canada
                [10 ]Department of Life Sciences Natural History Museum London UK
                [11 ]Univ Paris Sorbonne, IEES‐BIODIS Paris France
                [12 ]Environmental Systems Analysis Group Wageningen University Wageningen the Netherlands
                [13 ]INRAE, UR0633 Zoologie Forestière Orléans France
                [14 ]Institut de Recherche sur la Biologie de l'Insecte UMR 7261 CNRS – Univ Tours Tours France
                [15 ]Laboratório de Ecologia de Invertebrados, Coordenacão de Zoologia, Museu Paraense Emilio Goeldi Belém Pará Brazil
                [16 ]Laboratoire Evolution et Diversité Biologique (UMR5174) ‐ Université de Toulouse, CNRS, IRD UPS ‐ Toulouse France
                [17 ]COSTEL, UMR CNRS 5654, Univ Rennes 2 Rennes France
                Article
                10.1111/icad.12549
                14757b64-99b3-4a81-a873-4924aa3e56a4
                © 2022

                http://onlinelibrary.wiley.com/termsAndConditions#vor

                http://doi.wiley.com/10.1002/tdm_license_1.1

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