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      One‐locus‐several‐primers: A strategy to improve the taxonomic and haplotypic coverage in diet metabarcoding studies

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          Abstract

          In diet metabarcoding analyses, insufficient taxonomic coverage of PCR primer sets generates false negatives that may dramatically distort biodiversity estimates. In this paper, we investigated the taxonomic coverage and complementarity of three cytochrome c oxidase subunit I gene (COI) primer sets based on in silico analyses and we conducted an in vivo evaluation using fecal and spider web samples from different invertivores, environments, and geographic locations. Our results underline the lack of predictability of both the coverage and complementarity of individual primer sets: (a) sharp discrepancies exist observed between in silico and in vivo analyses (to the detriment of in silico analyses); (b) both coverage and complementarity depend greatly on the predator and on the taxonomic level at which preys are considered; (c) primer sets’ complementarity is the greatest at fine taxonomic levels (molecular operational taxonomic units [MOTUs] and variants). We then formalized the “one‐locus‐several‐primer‐sets” (OLSP) strategy, that is, the use of several primer sets that target the same locus (here the first part of the COI gene) and the same group of taxa (here invertebrates). The proximal aim of the OLSP strategy is to minimize false negatives by increasing total coverage through multiple primer sets. We illustrate that the OLSP strategy is especially relevant from this perspective since distinct variants within the same MOTUs were not equally detected across all primer sets. Furthermore, the OLSP strategy produces largely overlapping and comparable sequences, which cannot be achieved when targeting different loci. This facilitates the use of haplotypic diversity information contained within metabarcoding datasets, for example, for phylogeography and finer analyses of prey–predator interactions.

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          A new versatile primer set targeting a short fragment of the mitochondrial COI region for metabarcoding metazoan diversity: application for characterizing coral reef fish gut contents

          Introduction The PCR-based analysis of homologous genes has become one of the most powerful approaches for species detection and identification, particularly with the recent availability of Next Generation Sequencing platforms (NGS) making it possible to identify species composition from a broad range of environmental samples. Identifying species from these samples relies on the ability to match sequences with reference barcodes for taxonomic identification. Unfortunately, most studies of environmental samples have targeted ribosomal markers, despite the fact that the mitochondrial Cytochrome c Oxidase subunit I gene (COI) is by far the most widely available sequence region in public reference libraries. This is largely because the available versatile (“universal”) COI primers target the 658 barcoding region, whose size is considered too large for many NGS applications. Moreover, traditional barcoding primers are known to be poorly conserved across some taxonomic groups. Results We first design a new PCR primer within the highly variable mitochondrial COI region, the “mlCOIintF” primer. We then show that this newly designed forward primer combined with the “jgHCO2198” reverse primer to target a 313 bp fragment performs well across metazoan diversity, with higher success rates than versatile primer sets traditionally used for DNA barcoding (i.e. LCO1490/HCO2198). Finally, we demonstrate how the shorter COI fragment coupled with an efficient bioinformatics pipeline can be used to characterize species diversity from environmental samples by pyrosequencing. We examine the gut contents of three species of planktivorous and benthivorous coral reef fish (family: Apogonidae and Holocentridae). After the removal of dubious COI sequences, we obtained a total of 334 prey Operational Taxonomic Units (OTUs) belonging to 14 phyla from 16 fish guts. Of these, 52.5% matched a reference barcode (>98% sequence similarity) and an additional 32% could be assigned to a higher taxonomic level using Bayesian assignment. Conclusions The molecular analysis of gut contents targeting the 313 COI fragment using the newly designed mlCOIintF primer in combination with the jgHCO2198 primer offers enormous promise for metazoan metabarcoding studies. We believe that this primer set will be a valuable asset for a range of applications from large-scale biodiversity assessments to food web studies.
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            Replication levels, false presences and the estimation of the presence/absence from eDNA metabarcoding data.

            Environmental DNA (eDNA) metabarcoding is increasingly used to study the present and past biodiversity. eDNA analyses often rely on amplification of very small quantities or degraded DNA. To avoid missing detection of taxa that are actually present (false negatives), multiple extractions and amplifications of the same samples are often performed. However, the level of replication needed for reliable estimates of the presence/absence patterns remains an unaddressed topic. Furthermore, degraded DNA and PCR/sequencing errors might produce false positives. We used simulations and empirical data to evaluate the level of replication required for accurate detection of targeted taxa in different contexts and to assess the performance of methods used to reduce the risk of false detections. Furthermore, we evaluated whether statistical approaches developed to estimate occupancy in the presence of observational errors can successfully estimate true prevalence, detection probability and false-positive rates. Replications reduced the rate of false negatives; the optimal level of replication was strongly dependent on the detection probability of taxa. Occupancy models successfully estimated true prevalence, detection probability and false-positive rates, but their performance increased with the number of replicates. At least eight PCR replicates should be performed if detection probability is not high, such as in ancient DNA studies. Multiple DNA extractions from the same sample yielded consistent results; in some cases, collecting multiple samples from the same locality allowed detecting more species. The optimal level of replication for accurate species detection strongly varies among studies and could be explicitly estimated to improve the reliability of results.
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              Scrutinizing key steps for reliable metabarcoding of environmental samples

                Author and article information

                Contributors
                emmanuel.corse@gmail.com
                vincent.dubut@imbe.fr
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                18 March 2019
                April 2019
                : 9
                : 8 ( doiID: 10.1002/ece3.2019.9.issue-8 )
                : 4603-4620
                Affiliations
                [ 1 ] Aix Marseille Univ, Avignon Univ CNRS, IRD, IMBE Marseille France
                [ 2 ] Agence de Recherche pour la Biodiversité à la Réunion (ARBRE) Saint‐Leu, La Réunion France
                [ 3 ] ISEM, CNRS, IRD, EPHE Université de Montpellier Montpellier France
                [ 4 ] Irstea, Aix Marseille Univ, RECOVER Aix‐en‐Provence France
                [ 5 ] Laboratory of Parasitology and Ecology, Departement of Animal Biology and Physiology University of Yaoundé I Yaoundé Cameroon
                [ 6 ] Université Toulouse 3 Paul Sabatier CNRS, ENSFEA, EDB (Laboratoire Évolution & Diversité Biologique) Toulouse France
                [ 7 ] Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM PSL Research University Paris France
                [ 8 ] Redpath Museum and Department of Biology McGill University Montréal Quebec Canada
                Author notes
                [*] [* ] Correspondence

                Emmanuel Corse and Vincent Dubut, Avignon Univ, CNRS, IRD, IMBE, Aix Marseille Univ, Marseille, France.

                Emails: emmanuel.corse@ 123456gmail.com (EC); vincent.dubut@ 123456imbe.fr (VD)

                Author information
                https://orcid.org/0000-0003-0992-726X
                https://orcid.org/0000-0002-5619-6909
                Article
                ECE35063
                10.1002/ece3.5063
                6476781
                31031930
                7f823609-2471-43d6-bb6f-21c3756408b8
                © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 29 August 2018
                : 19 February 2019
                : 25 February 2019
                Page count
                Figures: 6, Tables: 3, Pages: 18, Words: 11053
                Funding
                Funded by: Agence de l'Eau Rhône‐Méditerranée‐Corse (France)
                Funded by: Électricité de France
                Funded by: Agence Française pour la Biodiversité
                Funded by: Syndicat Mixte d'Aménagement du Val Durance (France)
                Funded by: Conseil Régional Provence‐Alpes‐Côte‐d'Azur (France)
                Funded by: Agence Nationale de la Recherche
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                ece35063
                April 2019
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.6.2.1 mode:remove_FC converted:22.04.2019

                Evolutionary Biology
                cytochrome c oxidase subunit i gene,diet analysis,edna,false negatives,metabarcoding,pcr primers

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