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      Needle in a haystack? A comparison of eDNA metabarcoding and targeted qPCR for detection of the great crested newt ( Triturus cristatus)

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          Abstract

          Environmental DNA ( eDNA) analysis is a rapid, cost‐effective, non‐invasive biodiversity monitoring tool which utilises DNA left behind in the environment by organisms for species detection. The method is used as a species‐specific survey tool for rare or invasive species across a broad range of ecosystems. Recently, eDNA and “metabarcoding” have been combined to describe whole communities rather than focusing on single target species. However, whether metabarcoding is as sensitive as targeted approaches for rare species detection remains to be evaluated. The great crested newt Triturus cristatus is a flagship pond species of international conservation concern and the first UK species to be routinely monitored using eDNA. We evaluate whether eDNA metabarcoding has comparable sensitivity to targeted real‐time quantitative PCR ( qPCR) for T. cristatus detection. Extracted eDNA samples ( N = 532) were screened for T. cristatus by qPCR and analysed for all vertebrate species using high‐throughput sequencing technology. With qPCR and a detection threshold of 1 of 12 positive qPCR replicates, newts were detected in 50% of ponds. Detection decreased to 32% when the threshold was increased to 4 of 12 positive qPCR replicates. With metabarcoding, newts were detected in 34% of ponds without a detection threshold, and in 28% of ponds when a threshold (0.028%) was applied. Therefore, qPCR provided greater detection than metabarcoding but metabarcoding detection with no threshold was equivalent to qPCR with a stringent detection threshold. The proportion of T. cristatus sequences in each sample was positively associated with the number of positive qPCR replicates ( qPCR score) suggesting eDNA metabarcoding may be indicative of eDNA concentration. eDNA metabarcoding holds enormous potential for holistic biodiversity assessment and routine freshwater monitoring. We advocate this community approach to freshwater monitoring to guide management and conservation, whereby entire communities can be initially surveyed to best inform use of funding and time for species‐specific surveys.

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          Environmental DNA metabarcoding: Transforming how we survey animal and plant communities

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            Next-generation monitoring of aquatic biodiversity using environmental DNA metabarcoding.

            Global biodiversity in freshwater and the oceans is declining at high rates. Reliable tools for assessing and monitoring aquatic biodiversity, especially for rare and secretive species, are important for efficient and timely management. Recent advances in DNA sequencing have provided a new tool for species detection from DNA present in the environment. In this study, we tested whether an environmental DNA (eDNA) metabarcoding approach, using water samples, can be used for addressing significant questions in ecology and conservation. Two key aquatic vertebrate groups were targeted: amphibians and bony fish. The reliability of this method was cautiously validated in silico, in vitro and in situ. When compared with traditional surveys or historical data, eDNA metabarcoding showed a much better detection probability overall. For amphibians, the detection probability with eDNA metabarcoding was 0.97 (CI = 0.90-0.99) vs. 0.58 (CI = 0.50-0.63) for traditional surveys. For fish, in 89% of the studied sites, the number of taxa detected using the eDNA metabarcoding approach was higher or identical to the number detected using traditional methods. We argue that the proposed DNA-based approach has the potential to become the next-generation tool for ecological studies and standardized biodiversity monitoring in a wide range of aquatic ecosystems.
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              ITS as an environmental DNA barcode for fungi: an in silico approach reveals potential PCR biases

              Background During the last 15 years the internal transcribed spacer (ITS) of nuclear DNA has been used as a target for analyzing fungal diversity in environmental samples, and has recently been selected as the standard marker for fungal DNA barcoding. In this study we explored the potential amplification biases that various commonly utilized ITS primers might introduce during amplification of different parts of the ITS region in samples containing mixed templates ('environmental barcoding'). We performed in silico PCR analyses with commonly used primer combinations using various ITS datasets obtained from public databases as templates. Results Some of the ITS primers, such as ITS1-F, were hampered with a high proportion of mismatches relative to the target sequences, and most of them appeared to introduce taxonomic biases during PCR. Some primers, e.g. ITS1-F, ITS1 and ITS5, were biased towards amplification of basidiomycetes, whereas others, e.g. ITS2, ITS3 and ITS4, were biased towards ascomycetes. The assumed basidiomycete-specific primer ITS4-B only amplified a minor proportion of basidiomycete ITS sequences, even under relaxed PCR conditions. Due to systematic length differences in the ITS2 region as well as the entire ITS, we found that ascomycetes will more easily amplify than basidiomycetes using these regions as targets. This bias can be avoided by using primers amplifying ITS1 only, but this would imply preferential amplification of 'non-dikarya' fungi. Conclusions We conclude that ITS primers have to be selected carefully, especially when used for high-throughput sequencing of environmental samples. We suggest that different primer combinations or different parts of the ITS region should be analyzed in parallel, or that alternative ITS primers should be searched for.
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                Author and article information

                Contributors
                L.Harper@2015.hull.ac.uk
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                29 May 2018
                June 2018
                : 8
                : 12 ( doiID: 10.1002/ece3.2018.8.issue-12 )
                : 6330-6341
                Affiliations
                [ 1 ] School of Environmental Sciences University of Hull Hull UK
                [ 2 ] Institute of Zoology University of Graz Graz Styria Austria
                [ 3 ] Fera Sand Hutton York UK
                [ 4 ] Newcastle University Newcastle upon Tyne UK
                [ 5 ] ADAS School of Veterinary Medicine and Science The University of Nottingham Leicestershire UK
                [ 6 ] School of Veterinary Medicine and Science The University of Nottingham Leicestershire UK
                [ 7 ] Natural England Peterborough UK
                Author notes
                [*] [* ] Correspondence

                Lynsey R. Harper, School of Environmental Sciences, University of Hull, Hull, UK.

                Email: L.Harper@ 1234562015.hull.ac.uk

                Author information
                http://orcid.org/0000-0003-0923-1801
                Article
                ECE34013
                10.1002/ece3.4013
                6024127
                29988445
                631cbb42-7966-4b75-b1a2-75bb80bff374
                © 2018 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
                : 15 December 2017
                : 25 January 2018
                : 09 February 2018
                Page count
                Figures: 5, Tables: 2, Pages: 12, Words: 9330
                Funding
                Funded by: University of Hull
                Categories
                Original Research
                Original Research
                Custom metadata
                2.0
                ece34013
                June 2018
                Converter:WILEY_ML3GV2_TO_NLMPMC version:version=5.4.1.1 mode:remove_FC converted:29.06.2018

                Evolutionary Biology
                environmental dna,great crested newt,high‐throughput sequencing,metabarcoding,ponds,real‐time quantitative pcr,triturus cristatus

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