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      ONTbarcoder and MinION barcodes aid biodiversity discovery and identification by everyone, for everyone

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          Abstract

          Background

          DNA barcodes are a useful tool for discovering, understanding, and monitoring biodiversity which are critical tasks at a time of rapid biodiversity loss. However, widespread adoption of barcodes requires cost-effective and simple barcoding methods. We here present a workflow that satisfies these conditions. It was developed via “innovation through subtraction” and thus requires minimal lab equipment, can be learned within days, reduces the barcode sequencing cost to < 10 cents, and allows fast turnaround from specimen to sequence by using the portable MinION sequencer.

          Results

          We describe how tagged amplicons can be obtained and sequenced with the real-time MinION sequencer in many settings (field stations, biodiversity labs, citizen science labs, schools). We also provide amplicon coverage recommendations that are based on several runs of the latest generation of MinION flow cells (“R10.3”) which suggest that each run can generate barcodes for > 10,000 specimens. Next, we present a novel software, ONTbarcoder, which overcomes the bioinformatics challenges posed by MinION reads. The software is compatible with Windows 10, Macintosh, and Linux, has a graphical user interface (GUI), and can generate thousands of barcodes on a standard laptop within hours based on only two input files (FASTQ, demultiplexing file). We document that MinION barcodes are virtually identical to Sanger and Illumina barcodes for the same specimens (> 99.99%) and provide evidence that MinION flow cells and reads have improved rapidly since 2018.

          Conclusions

          We propose that barcoding with MinION is the way forward for government agencies, universities, museums, and schools because it combines low consumable and capital cost with scalability. Small projects can use the flow cell dongle (“Flongle”) while large projects can rely on MinION flow cells that can be stopped and re-used after collecting sufficient data for a given project.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12915-021-01141-x.

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          Most cited references80

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

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                Author and article information

                Contributors
                Rudolf.Meier@mfn.berlin
                Journal
                BMC Biol
                BMC Biol
                BMC Biology
                BioMed Central (London )
                1741-7007
                29 September 2021
                29 September 2021
                2021
                : 19
                : 217
                Affiliations
                [1 ]GRID grid.4280.e, ISNI 0000 0001 2180 6431, Department of Biological Sciences, , National University of Singapore, ; Singapore, Singapore
                [2 ]GRID grid.136593.b, ISNI 0000 0004 0373 3971, Research Institute for Microbial Diseases, , Osaka University, ; Osaka, Japan
                [3 ]GRID grid.26999.3d, ISNI 0000 0001 2151 536X, Artificial Intelligence Research Center, , AIST, ; Tokyo, Japan
                [4 ]GRID grid.10548.38, ISNI 0000 0004 1936 9377, Zoology Department, , Stockholms Universitet, ; Stockholm, Sweden
                [5 ]Station Linné, Öland, Sweden
                [6 ]GRID grid.4280.e, ISNI 0000 0001 2180 6431, Tropical Marine Science Institute, , National University of Singapore, ; Singapore, Singapore
                [7 ]GRID grid.422371.1, ISNI 0000 0001 2293 9957, Museum für Naturkunde, Leibniz Institute for Evolution and Biodiversity Science, , Center for Integrative Biodiversity Discovery, ; Berlin, Germany
                Author information
                http://orcid.org/0000-0002-4452-2885
                Article
                1141
                10.1186/s12915-021-01141-x
                8479912
                34587965
                aa8fb343-7720-46f2-b2c6-be800d3b488a
                © The Author(s) 2021

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, 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 data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 11 May 2021
                : 3 September 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001459, Ministry of Education - Singapore;
                Award ID: R-154-000-A22-112
                Award Recipient :
                Funded by: Museum für Naturkunde – Leibniz-Institut für Evolutions- und Biodiversitätsforschung (3498)
                Categories
                Methodology Article
                Custom metadata
                © The Author(s) 2021

                Life sciences
                dna barcoding,biodiversity discovery,minion,oxford nanopore,citizen science,species delimitation,bioinformatics

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