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      Detection of vertebrates from natural and artificial inland water bodies in a semi‐arid habitat using eDNA from filtered, swept, and sediment samples

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          Abstract

          Biomonitoring is vital for establishing baseline data that is needed to identify and quantify ecological change and to inform management and conservation activities. However, biomonitoring and biodiversity assessment in arid environments, which are predicted to cover 56% of the Earth's land surface by 2100, can be prohibitively time consuming, expensive, and logistically challenging due to their often remote and inhospitable nature. Sampling of environmental DNA (eDNA) coupled with high‐throughput sequencing is an emerging biodiversity assessment method. Here we explore the application of eDNA metabarcoding and various sampling approaches to estimate vertebrate richness and assemblage at human‐constructed and natural water sources in a semi‐arid region of Western Australia. Three sampling methods: sediment samples, filtering through a membrane with a pump, and membrane sweeping in the water body, were compared using two eDNA metabarcoding assays, 12S‐V5 and 16smam, for 120 eDNA samples collected from four gnammas ( gnamma: Australian Indigenous Noongar language term–granite rock pools) and four cattle troughs in the Great Western Woodlands, Western Australia. We detected higher vertebrate richness in samples from cattle troughs and found differences between assemblages detected in gnammas (more birds and amphibians) and cattle troughs (more mammals, including feral taxa). Total vertebrate richness was not different between swept and filtered samples, but all sampling methods yielded different assemblages. Our findings indicate that eDNA surveys in arid lands will benefit from collecting multiple samples at multiple water sources to avoid underestimating vertebrate richness. The high concentration of eDNA in small, isolated water bodies permits the use of sweep sampling that simplifies sample collection, processing, and storage, particularly when assessing vertebrate biodiversity across large spatial scales.

          Abstract

          Our findings indicate that eDNA surveys in arid lands will benefit from collecting multiple samples at multiple water sources to avoid underestimating vertebrate richness. The high concentration of eDNA in small, isolated water bodies permits the use of sweep sampling which simplifies sample collection, processing, and storage, particularly when assessing vertebrate biodiversity across large spatial scales.

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          Basic local alignment search tool.

          A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
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              AdapterRemoval v2: rapid adapter trimming, identification, and read merging

              Background As high-throughput sequencing platforms produce longer and longer reads, sequences generated from short inserts, such as those obtained from fossil and degraded material, are increasingly expected to contain adapter sequences. Efficient adapter trimming algorithms are also needed to process the growing amount of data generated per sequencing run. Findings We introduce AdapterRemoval v2, a major revision of AdapterRemoval v1, which introduces (i) striking improvements in throughput, through the use of single instruction, multiple data (SIMD; SSE1 and SSE2) instructions and multi-threading support, (ii) the ability to handle datasets containing reads or read-pairs with different adapters or adapter pairs, (iii) simultaneous demultiplexing and adapter trimming, (iv) the ability to reconstruct adapter sequences from paired-end reads for poorly documented data sets, and (v) native gzip and bzip2 support. Conclusions We show that AdapterRemoval v2 compares favorably with existing tools, while offering superior throughput to most alternatives examined here, both for single and multi-threaded operations. Electronic supplementary material The online version of this article (doi:10.1186/s13104-016-1900-2) contains supplementary material, which is available to authorized users.
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                Author and article information

                Contributors
                paul.nevill@curtin.edu.au
                Journal
                Ecol Evol
                Ecol Evol
                10.1002/(ISSN)2045-7758
                ECE3
                Ecology and Evolution
                John Wiley and Sons Inc. (Hoboken )
                2045-7758
                24 April 2023
                April 2023
                : 13
                : 4 ( doiID: 10.1002/ece3.v13.4 )
                : e10014
                Affiliations
                [ 1 ] Trace and Environmental DNA Laboratory, School of Life and Molecular Sciences Curtin University Perth Australia
                [ 2 ] Behavioural Ecology Lab, School of Molecular and Life Sciences Curtin University Perth Australia
                [ 3 ] School of Molecular and Life Sciences Curtin University Perth Australia
                [ 4 ] School of Biological Sciences The University of Adelaide Adelaide Australia
                Author notes
                [*] [* ] Correspondence

                Paul Nevill, Trace and Environmental DNA Laboratory, School of Life and Molecular Sciences, Curtin University, Perth, Western Australia 6845, Australia.

                Email: paul.nevill@ 123456curtin.edu.au

                Author information
                https://orcid.org/0000-0001-8238-0534
                Article
                ECE310014 ECE-2022-07-01115.R1
                10.1002/ece3.10014
                10126312
                37113520
                152536e4-c681-4941-b172-15503ecb208b
                © 2023 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
                : 21 March 2023
                : 27 July 2022
                : 24 March 2023
                Page count
                Figures: 4, Tables: 1, Pages: 14, Words: 10913
                Funding
                Funded by: IGO Limited
                Categories
                Applied Ecology
                Research Article
                Research Articles
                Custom metadata
                2.0
                April 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.2.7 mode:remove_FC converted:25.04.2023

                Evolutionary Biology
                arid lands,biodiversity,biomonitoring,environmental dna,fauna surveys,metabarcoding,vertebrates

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