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      Testing the potential of a ribosomal 16S marker for DNA metabarcoding of insects

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          Abstract

          Cytochrome c oxidase I (COI) is a powerful marker for DNA barcoding of animals, with good taxonomic resolution and a large reference database. However, when used for DNA metabarcoding, estimation of taxa abundances and species detection are limited due to primer bias caused by highly variable primer binding sites across the COI gene. Therefore, we explored the ability of the 16S ribosomal DNA gene as an alternative metabarcoding marker for species level assessments. Ten bulk samples, each containing equal amounts of tissue from 52 freshwater invertebrate taxa, were sequenced with the Illumina NextSeq 500 system. The 16S primers amplified three more insect species than the Folmer COI primers and amplified more equally, probably due to decreased primer bias. Estimation of biomass might be less biased with 16S than with COI, although variation in read abundances of two orders of magnitudes is still observed. According to these results, the marker choice depends on the scientific question. If the goal is to obtain a taxonomic identification at the species level, then COI is more appropriate due to established reference databases and known taxonomic resolution of this marker, knowing that a greater proportion of insects will be missed using COI Folmer primers. If the goal is to obtain a more comprehensive survey the 16S marker, which requires building a local reference database, or optimised degenerated COI primers could be more appropriate.

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          Biodiversity soup: metabarcoding of arthropods for rapid biodiversity assessment and biomonitoring

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            DNA metabarcoding and the cytochrome c oxidase subunit I marker: not a perfect match.

            DNA metabarcoding enables efficient characterization of species composition in environmental DNA or bulk biodiversity samples, and this approach is making significant and unique contributions in the field of ecology. In metabarcoding of animals, the cytochrome c oxidase subunit I (COI) gene is frequently used as the marker of choice because no other genetic region can be found in taxonomically verified databases with sequences covering so many taxa. However, the accuracy of metabarcoding datasets is dependent on recovery of the targeted taxa using conserved amplification primers. We argue that COI does not contain suitably conserved regions for most amplicon-based metabarcoding applications. Marker selection deserves increased scrutiny and available marker choices should be broadened in order to maximize potential in this exciting field of research. © 2014 The Author(s) Published by the Royal Society. All rights reserved.
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              ecoPrimers: inference of new DNA barcode markers from whole genome sequence analysis

              Using non-conventional markers, DNA metabarcoding allows biodiversity assessment from complex substrates. In this article, we present ecoPrimers, a software for identifying new barcode markers and their associated PCR primers. ecoPrimers scans whole genomes to find such markers without a priori knowledge. ecoPrimers optimizes two quality indices measuring taxonomical range and discrimination to select the most efficient markers from a set of reference sequences, according to specific experimental constraints such as marker length or specifically targeted taxa. The key step of the algorithm is the identification of conserved regions among reference sequences for anchoring primers. We propose an efficient algorithm based on data mining, that allows the analysis of huge sets of sequences. We evaluate the efficiency of ecoPrimers by running it on three different sequence sets: mitochondrial, chloroplast and bacterial genomes. Identified barcode markers correspond either to barcode regions already in use for plants or animals, or to new potential barcodes. Results from empirical experiments carried out on a promising new barcode for analyzing vertebrate diversity fully agree with expectations based on bioinformatics analysis. These tests demonstrate the efficiency of ecoPrimers for inferring new barcodes fitting with diverse experimental contexts. ecoPrimers is available as an open source project at: http://www.grenoble.prabi.fr/trac/ecoPrimers.
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ
                PeerJ Inc. (San Francisco, USA )
                2167-8359
                19 April 2016
                2016
                : 4
                : e1966
                Affiliations
                [1 ]Department of Animal Ecology, Evolution and Biodiversity, Ruhr University Bochum , Bochum, Germany
                [2 ]Aquatic Ecosystem Research, University of Duisburg-Essen , Essen, Germany
                [3 ]Laboratoire d’Ecologie Alpine (LECA), CNRS , Grenoble, France
                [4 ]Laboratoire d’Ecologie Alpine (LECA), Univ. Grenoble Alpes , Grenoble, France
                [5 ]SPYGEN , Le Bourget du Lac, France
                [6 ]Lab Interdisciplinaire des Environnements Continentaux (LIEC), Université de Lorraine , Metz, France
                [7 ]Ecole Nationale du Génie de l’Eau et de l’Environnement de Strasbourg , Strasbourg, France
                [8 ]UMR CNRS 7362—LIVE, Université de Strasbourg , Strasbourg, France
                [9 ]Centre for Water and Environmental Research (ZWU) Essen, University of Duisburg-Essen , Essen, Germany
                Article
                1966
                10.7717/peerj.1966
                4841222
                27114891
                34f36687-dd64-4f62-af50-0331ad577e90
                ©2016 Elbrecht et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 14 March 2016
                : 3 April 2016
                Funding
                Funded by: Kurt Eberhard Bode foundation
                Funded by: Agence Nationale de la Recherche
                Award ID: ANR-13-ECOT-0002-01
                Florian Leese and Vasco Elbrecht are supported by a grant from the Kurt Eberhard Bode foundation to Florian Leese. Pierre Taberlet, Eric Coissac, Tony Dejean, Alice Valentini, Philippe Usseglio-Polatera, Jean-Nicolas Beisel and Frederic Boyerwere were supported by a grant from Agence Nationale de la Recherche (aquaDNA; ANR-13-ECOT-0002-01). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Biodiversity
                Conservation Biology
                Genetics
                Molecular Biology
                Zoology

                biodiversity assessment,stream monitoring,small ribosomal subunit,high throughput sequencing,dna metabarcoding,method testing,freshwater invertebrates,stream ecosystems,primer bias,illumina sequencing

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