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Martin B, Doane MP, Henkens J, Morgan JAT, Inglis L, Peddemors VM, Dinsdale EA, Huveneers C, Meyer L. Who bit the boat? New DNA collection and genomic methods enable species identification in suspected shark-related incidents. Forensic Sci Int Genet 2024; 72:103087. [PMID: 38996566 DOI: 10.1016/j.fsigen.2024.103087] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2024] [Revised: 06/13/2024] [Accepted: 06/14/2024] [Indexed: 07/14/2024]
Abstract
Species identification following shark-related incidents is critical for effective incident management and for collecting data to inform shark-bite mitigation strategies. Witness statements are not always reliable, and species identification is often ambiguous or missing. Alternative methods for species identification include morphological assessments of bite marks, analysis of collected teeth at the scene of the incident, and genetic approaches. However, access to appropriate collection media and robust genetic assays have limited the use of genetic technologies. Here, we present a case study that facilitated a unique opportunity to compare the effectiveness of medical gauze readily available in first-aid kits, and forensic-grade swabs in collecting genetic material for shark-species identification. Sterile medical gauze and forensic-grade swabs were used to collect transfer DNA from the bite margins on a bitten surf ski which were compared to a piece of shark tissue embedded along the bite margin. Witness accounts and the characteristics of the bite mark impressions inferred the involvement of a Carcharodon carcharias (white shark). The morphology of a tooth found on the boat that picked up the surf ski, however, suggested it belonged to an Orectolobus spp. (wobbegong). Genetic analysis of DNA transferred from the shark to the surf ski included the application of a broad-target nested PCR assay followed by Sanger sequencing, with white shark contribution to the 'total sample DNA' determined with a species-specific qPCR assay. The results of the genetic analyses were congruent between sampling methods with respect to species identification and the level of activity inferred by the donor-specific DNA contribution. These data also supported the inferences drawn from the bite mark morphology. DNA from the recovered tooth was PCR amplified with a wobbegong-specific primer pair designed for this study to corroborate the tooth's morphological identification. Following the confirmation of gauze used for sampling in the case study event, two additional isolated incidents occurred and were sampled in situ using gauze, as typically found in a first-aid kit, by external personnel. DNA extracted from these gauze samples resulted in the identification of a white shark as the donor of the DNA collected from the bite marks in both instances. This study, involving three incidents separated by time and location, represents the seminal application of gauze as a sampling media after critical human-shark interactions and strongly supports the practical implementation of these methods in the field.
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Affiliation(s)
- Belinda Martin
- Flinders University, Flinders Accelerator for Microbiome Exploration, Bedford Park, SA 5042, Australia; Flinders University, College of Science and Engineering, Bedford Park, SA 5042, Australia.
| | - Michael P Doane
- Flinders University, Flinders Accelerator for Microbiome Exploration, Bedford Park, SA 5042, Australia; Flinders University, College of Science and Engineering, Bedford Park, SA 5042, Australia.
| | - Jessica Henkens
- Flinders University, College of Science and Engineering, Bedford Park, SA 5042, Australia.
| | - Jess A T Morgan
- Queensland Department of Agriculture and Fisheries, Dutton Park, QLD 4102, Australia.
| | - Laura Inglis
- Flinders University, Flinders Accelerator for Microbiome Exploration, Bedford Park, SA 5042, Australia; Flinders University, College of Science and Engineering, Bedford Park, SA 5042, Australia.
| | - Victor M Peddemors
- New South Wales Department of Primary Industries, Sydney Institute of Marine Science, Mosman, NSW 2088, Australia.
| | - Elizabeth A Dinsdale
- Flinders University, Flinders Accelerator for Microbiome Exploration, Bedford Park, SA 5042, Australia; Flinders University, College of Science and Engineering, Bedford Park, SA 5042, Australia.
| | - Charlie Huveneers
- Flinders University, College of Science and Engineering, Bedford Park, SA 5042, Australia; Flinders University, Southern Shark Ecology Group, Bedford Park, SA 5042, Australia.
| | - Lauren Meyer
- Flinders University, College of Science and Engineering, Bedford Park, SA 5042, Australia; Flinders University, Southern Shark Ecology Group, Bedford Park, SA 5042, Australia; The Georgia Aquarium, Atlanta, GA 30313, United States.
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Nakai M, Masumoto T, Asaeda T, Rahman M. Improving the efficiency of adaptive management methods in multiple fishways using environmental DNA. PLoS One 2024; 19:e0301197. [PMID: 38557776 PMCID: PMC10984549 DOI: 10.1371/journal.pone.0301197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2023] [Accepted: 03/12/2024] [Indexed: 04/04/2024] Open
Abstract
Dams and weirs impede the continuity of rivers and transit of migratory fish. To overcome this obstacle, fishways are installed worldwide; however, management after installation is important. The Miyanaka Intake Dam has three fish ladders with different flow velocities and discharges and has been under adaptive management since 2012. Fish catch surveys, conducted as an adaptive management strategy, place a heavy burden on fish. Furthermore, a large number of investigators must be mobilized during the 30-day investigation period. Thus, a monitoring method using environmental DNA that exerts no burden on fish and requires only a few surveyors (to obtain water samples) and an in-house analyst was devised; however, its implementation in a fishway away from the point of analysis and with limited flow space and its effective water sampling frequency have not been reported. Therefore, in 2019, we started a trial aiming to evaluate the methods and application conditions of environmental DNA surveys for the continuous and long-term monitoring of various fish fauna upstream and downstream of the Miyanaka Intake Dam. To evaluate the fish fauna, the results of an environmental DNA survey (metabarcoding method) for 2019 to 2022 were compared to those of a catch survey in the fishway from 2012 to 2022. The results confirmed the use of environmental DNA surveys in evaluating the contribution of fishways to biodiversity under certain conditions and introduced a novel method for sample collection.
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Affiliation(s)
- Masahiko Nakai
- Japan International Consultants for Transportation Co., Ltd, Tokyo, Japan
| | - Taku Masumoto
- Energy Planning Department, East Japan Railway Company, Tokyo, Japan
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Yan H, Chen S, Liu X, Cheng Z, Schmidt BV, He W, Cheng F, Xie S. Investigations of Fish Assemblages Using Two Methods in Three Terminal Reservoirs of the East Route of South-to-North Water Transfer Project, China. Animals (Basel) 2023; 13:ani13101614. [PMID: 37238044 DOI: 10.3390/ani13101614] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2023] [Revised: 05/07/2023] [Accepted: 05/10/2023] [Indexed: 05/28/2023] Open
Abstract
The terminal reservoirs of water transfer projects directly supply water for domestic, agricultural, and industrial applications, and the water quality of these reservoirs produce crucial effects on the achievement of project targets. Typically, fish assemblages are monitored as indicators of reservoir water quality, and can also be regulated for its improvement. In the present study, we compared traditional fish landing (TFL) and environmental DNA (eDNA) metabarcoding methods for monitoring fish assemblages in three terminal reservoirs of the East Route of the South-to-North Water Transfer Project, China. Results of TFL and eDNA showed similar assemblage structures and patterns of diversity and spatial distribution with obvious differences in fish composition across three examined reservoirs. Demersal and small fish were dominant in all reservoirs. In addition, a strong association between water transfer distance and assemblages and distribution of non-native fish was found. Our findings highlight the necessity of the fish assemblage monitoring and managing for water quality and revealed the impact of water diversion distance on the structure of fish assemblages and dispersal of alien species along the water transfer project.
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Affiliation(s)
- Huiguo Yan
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), College of Fisheries, Southwest University, Chongqing 400715, China
- Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430071, China
| | - Sibao Chen
- Changjiang Institute of Survey Planning Design and Research, Key Laboratory of Changjiang Regulation and Protection of Ministry of Water Resources, Wuhan 430010, China
| | - Xia Liu
- Shandong Main Line Co., Ltd. of East Route of South-to-North Water Transfer Project, Jinan 250013, China
| | - Zhenhao Cheng
- Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430071, China
| | - Bjorn Victor Schmidt
- Department of Biological and Environmental Sciences, Texas A&M University, Commerce, TX 77843, USA
| | - Wenping He
- Key Laboratory of Freshwater Fish Reproduction and Development (Ministry of Education), College of Fisheries, Southwest University, Chongqing 400715, China
| | - Fei Cheng
- Key Laboratory of Aquatic Biodiversity and Conservation of Chinese Academy of Sciences, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430071, China
| | - Songguang Xie
- State Key Laboratory of Marine Resources Utilization in South China Sea, Hainan University, Haikou 570228, China
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Raupach MJ, Rulik B, Spelda J. Surprisingly high genetic divergence of the mitochondrial DNA barcode fragment (COI) within Central European woodlice species (Crustacea, Isopoda, Oniscidea). Zookeys 2022; 1082:103-125. [PMID: 35115867 PMCID: PMC8794987 DOI: 10.3897/zookeys.1082.69851] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Accepted: 12/20/2021] [Indexed: 11/12/2022] Open
Abstract
DNA barcoding has become the most popular approach for species identification in recent years. As part of the German Barcode of Life project, the first DNA barcode library for terrestrial and freshwater isopods from Germany is presented. The analyzed barcode library included 38 terrestrial (78% of the documented species of Germany) and five freshwater (63%) species. A total of 513 new barcodes was generated and 518 DNA barcodes were analyzed. This analysis revealed surprisingly high intraspecific genetic distances for numerous species, with a maximum of 29.4% for Platyarthrus hoffmannseggii Brandt, 1833. The number of BINs per species ranged from one (32 species, 68%) to a maximum of six for Trachelipus rathkii (Brandt, 1833). In spite of such high intraspecific variability, interspecific distances with values between 12.6% and 29.8% allowed a valid species assignment of all analyzed isopods. The observed high intraspecific distances presumably result from phylogeographic events, Wolbachia infections, atypical mitochondrial DNAs, heteroplasmy, or various combinations of these factors. Our study represents the first step in generating an extensive reference library of DNA barcodes for terrestrial and freshwater isopods for future molecular biodiversity assessment studies.
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Monitoring fish communities through environmental DNA metabarcoding in the fish pass system of the second largest hydropower plant in the world. Sci Rep 2021; 11:23167. [PMID: 34848787 PMCID: PMC8632987 DOI: 10.1038/s41598-021-02593-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2021] [Accepted: 11/08/2021] [Indexed: 12/26/2022] Open
Abstract
The Itaipu Hydroelectric Power Plant is the second largest in the world in power generation. The artificial barrier created by its dam imposes an obstacle for fish migration. Thus, in 2002, a fish pass system, named Piracema Channel, was built to allow fish to access areas upstream of the reservoir. We tested the potential of environmental DNA metabarcoding to monitor the impact of both the dam and associated fish pass system in the Paraná River fish communities and to compare it with traditional monitoring methods. Using a fragment of the 12S gene, we characterized richness and community composition based on amplicon sequence variants, operational taxonomic units, and zero-radius OTUs. We combined GenBank and in-house data for taxonomic assignment. We found that different bioinformatics approaches showed similar results. Also, we found a decrease in fish diversity from 2019 to 2020 probably due to the recent extreme drought experienced in southeastern Brazil. The highest alpha diversity was recorded in the mouth of the fish pass system, located in a protected valley with the highest environmental heterogeneity. Despite the clear indication that the reference databases need to be continuously improved, our results demonstrate the analytical efficiency of the metabarcoding to monitor fish species.
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Noninvasive Genetic Assessment Is an Effective Wildlife Research Tool When Compared with Other Approaches. Genes (Basel) 2021; 12:genes12111672. [PMID: 34828277 PMCID: PMC8625682 DOI: 10.3390/genes12111672] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Revised: 10/20/2021] [Accepted: 10/21/2021] [Indexed: 12/26/2022] Open
Abstract
Wildlife research has been indispensable for increasing our insight into ecosystem functioning as well as for designing effective conservation measures under the currently high rates of biodiversity loss. Genetic and genomic analyses might be able to yield the same information on, e.g., population size, health, or diet composition as other wildlife research methods, and even provide additional data that would not be possible to obtain by alternative means. Moreover, if DNA is collected non-invasively, this technique has only minimal or no impact on animal welfare. Nevertheless, the implementation rate of noninvasive genetic assessment in wildlife studies has been rather low. This might be caused by the perceived inefficiency of DNA material obtained non-invasively in comparison with DNA obtained from blood or tissues, or poorer performance in comparison with other approaches used in wildlife research. Therefore, the aim of this review was to evaluate the performance of noninvasive genetic assessment in comparison with other methods across different types of wildlife studies. Through a search of three scientific databases, 113 relevant studies were identified, published between the years 1997 and 2020. Overall, most of the studies (94%) reported equivalent or superior performance of noninvasive genetic assessment when compared with either invasive genetic sampling or another research method. It might be also cheaper and more time-efficient than other techniques. In conclusion, noninvasive genetic assessment is a highly effective research approach, whose efficacy and performance are likely to improve even further in the future with the development of optimized protocols.
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Fediajevaite J, Priestley V, Arnold R, Savolainen V. Meta-analysis shows that environmental DNA outperforms traditional surveys, but warrants better reporting standards. Ecol Evol 2021; 11:4803-4815. [PMID: 33976849 PMCID: PMC8093654 DOI: 10.1002/ece3.7382] [Citation(s) in RCA: 47] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2020] [Revised: 02/01/2021] [Accepted: 02/12/2021] [Indexed: 01/05/2023] Open
Abstract
Decades of environmental DNA (eDNA) method application, spanning a wide variety of taxa and habitats, has advanced our understanding of eDNA and underlined its value as a tool for conservation practitioners. The general consensus is that eDNA methods are more accurate and cost-effective than traditional survey methods. However, they are formally approved for just a few species globally (e.g., Bighead Carp, Silver Carp, Great Crested Newt). We conducted a meta-analysis of studies that directly compare eDNA with traditional surveys to evaluate the assertion that eDNA methods are consistently "better."Environmental DNA publications for multiple species or single macro-organism detection were identified using the Web of Science, by searching "eDNA" and "environmental DNA" across papers published between 1970 and 2020. The methods used, focal taxa, habitats surveyed, and quantitative and categorical results were collated and analyzed to determine whether and under what circumstances eDNA outperforms traditional surveys.Results show that eDNA methods are cheaper, more sensitive, and detect more species than traditional methods. This is, however, taxa-dependent, with amphibians having the highest potential for detection by eDNA survey. Perhaps most strikingly, of the 535 papers reviewed just 49 quantified the probability of detection for both eDNA and traditional survey methods and studies were three times more likely to give qualitative statements of performance. Synthesis and applications: The results of this meta-analysis demonstrate that where there is a direct comparison, eDNA surveys of macro-organisms are more accurate and efficient than traditional surveys. This conclusion, however, is based on just a fraction of available eDNA papers as most do not offer this granularity. We recommend that conclusions are substantiated with comparable and quantitative data. Where a direct comparison has not been made, we caution against the use of qualitative statements about relative performance. This consistency and rigor will simplify how the eDNA research community tracks methods-based advances and will also provide greater clarity for conservation practitioners. To this end suggest reporting standards for eDNA studies.
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Affiliation(s)
| | | | - Richard Arnold
- Thomson Environmental Consultants Compass House Surrey Research Park Guildford UK
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Hleap JS, Littlefair JE, Steinke D, Hebert PDN, Cristescu ME. Assessment of current taxonomic assignment strategies for metabarcoding eukaryotes. Mol Ecol Resour 2021; 21:2190-2203. [PMID: 33905615 DOI: 10.1111/1755-0998.13407] [Citation(s) in RCA: 26] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 03/08/2021] [Accepted: 04/19/2021] [Indexed: 01/04/2023]
Abstract
The effective use of metabarcoding in biodiversity science has brought important analytical challenges due to the need to generate accurate taxonomic assignments. The assignment of sequences to genus or species level is critical for biodiversity surveys and biomonitoring, but it is particularly challenging as researchers must select the approach that best recovers information on species composition. This study evaluates the performance and accuracy of seven methods in recovering the species composition of mock communities by using COI barcode fragments. The mock communities varied in species number and specimen abundance, while upstream molecular and bioinformatic variables were held constant, and using a set of COI fragments. We evaluated the impact of parameter optimization on the quality of the predictions. Our results indicate that BLAST top hit competes well with more complex approaches if optimized for the mock community under study. For example, the two machine learning methods that were benchmarked proved more sensitive to reference database heterogeneity and completeness than methods based on sequence similarity. The accuracy of assignments was impacted by both species and specimen counts (query compositional heterogeneity) which ultimately influence the selection of appropriate software. We urge researchers to: (i) use realistic mock communities to allow optimization of parameters, regardless of the taxonomic assignment method employed; (ii) carefully choose and curate the reference databases including completeness; and (iii) use QIIME, BLAST or LCA methods, in conjunction with parameter tuning to better assign taxonomy to diverse communities, especially when information on species diversity is lacking for the area under study.
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Affiliation(s)
- Jose S Hleap
- Department of Biology, McGill University, Montreal, QC, Canada.,SHARCNET, University of Guelph, Guelph, ON, Canada.,Fundacion SQUALUS, Cali, Colombia
| | - Joanne E Littlefair
- Department of Biology, McGill University, Montreal, QC, Canada.,Queen Mary University of London, London, UK
| | - Dirk Steinke
- Centre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, ON, Canada
| | - Paul D N Hebert
- Centre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, Guelph, ON, Canada
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Cornman RS, McKenna JE, Fike JA. Composition and distribution of fish environmental DNA in an Adirondack watershed. PeerJ 2021; 9:e10539. [PMID: 33680576 PMCID: PMC7919543 DOI: 10.7717/peerj.10539] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2020] [Accepted: 11/19/2020] [Indexed: 11/24/2022] Open
Abstract
Background Environmental DNA (eDNA) surveys are appealing options for monitoring aquatic biodiversity. While factors affecting eDNA persistence, capture and amplification have been heavily studied, watershed-scale surveys of fish communities and our confidence in such need further exploration. Methods We characterized fish eDNA compositions using rapid, low-volume filtering with replicate and control samples scaled for a single Illumina MiSeq flow cell, using the mitochondrial 12S ribosomal RNA locus for taxonomic profiling. Our goals were to determine: (1) spatiotemporal variation in eDNA abundance, (2) the filtrate needed to achieve strong sequencing libraries, (3) the taxonomic resolution of 12S ribosomal sequences in the study environment, (4) the portion of the expected fish community detectable by 12S sequencing, (5) biases in species recovery, (6) correlations between eDNA compositions and catch per unit effort (CPUE) and (7) the extent that eDNA profiles reflect major watershed features. Our bioinformatic approach included (1) estimation of sequencing error from unambiguous mappings and simulation of taxonomic assignment error under various mapping criteria; (2) binning of species based on inferred assignment error rather than by taxonomic rank; and (3) visualization of mismatch distributions to facilitate discovery of distinct haplotypes attributed to the same reference. Our approach was implemented within the St. Regis River, NY, USA, which supports tribal and recreational fisheries and has been a target of restoration activities. We used a large record of St. Regis-specific observations to validate our assignments. Results We found that 300 mL drawn through 25-mm cellulose nitrate filters yielded greater than 5 ng/µL DNA at most sites in summer, which was an approximate threshold for generating strong sequencing libraries in our hands. Using inferred sequence error rates, we binned 12S references for 110 species on a state checklist into 85 single-species bins and seven multispecies bins. Of 48 bins observed by capture survey in the St. Regis, we detected eDNA consistent with 40, with an additional four detections flagged as potential contaminants. Sixteen unobserved species detected by eDNA ranged from plausible to implausible based on distributional data, whereas six observed species had no 12S reference sequence. Summed log-ratio compositions of eDNA-detected taxa correlated with log(CPUE) (Pearson’s R = 0.655, P < 0.001). Shifts in eDNA composition of several taxa and a genotypic shift in channel catfish (Ictalurus punctatus) coincided with the Hogansburg Dam, NY, USA. In summary, a simple filtering apparatus operated by field crews without prior expertise gave useful summaries of eDNA composition with minimal evidence of field contamination. 12S sequencing achieved useful taxonomic resolution despite the short marker length, and data exploration with standard bioinformatic tools clarified taxonomic uncertainty and sources of error.
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Affiliation(s)
- Robert S Cornman
- U.S. Geological Survey, Fort Collins Science Center, Fort Collins, CO, USA
| | - James E McKenna
- U.S. Geological Survey, Great Lakes Science Center, Cortland, NY, USA
| | - Jennifer A Fike
- U.S. Geological Survey, Fort Collins Science Center, Fort Collins, CO, USA
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Wang S, Yan Z, Hänfling B, Zheng X, Wang P, Fan J, Li J. Methodology of fish eDNA and its applications in ecology and environment. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 755:142622. [PMID: 33059148 DOI: 10.1016/j.scitotenv.2020.142622] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 09/09/2020] [Accepted: 09/23/2020] [Indexed: 06/11/2023]
Abstract
Fish environmental DNA (eDNA) studies have made substantial progress during the past decade, and significant advances in monitoring fishes have been gained by taking advantage of this technology. Although a number of reviews concerning eDNA are available and some recent fish eDNA reviews focused on fisheries or standard method have been published, a systematic review of methodology of fish eDNA and its applications in ecology and environment has not yet been published. To our knowledge, this is the first review of fish eDNA for solving ecological and environmental issues. First, the most comprehensive literature analysis of fish eDNA was presented and analyzed. Then, we systematically discuss the relevant experiments and analyses of fish eDNA, and infers that standard workflow is on the way to consensus. We additionally provide reference sequence databases and the primers used to amplify the reference sequences or detecting fish eDNA. The abiotic and biotic conditions affecting fish eDNA persistence are also summarized in a schematic diagram. Subsequently, we focus on the major achievements of fish eDNA in ecology and environment. We additionally highlight the exciting new tools, including in situ autonomous monitoring devices, CRISPR nucleic acid detection technology, and meta-omics technology for fish eDNA detection in future. Ultimately, methodology of fish eDNA will provide a wholly new paradigm for conservation actions of fishes, ecological and environmental management at a global scale.
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Affiliation(s)
- Shuping Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Zhenguang Yan
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Bernd Hänfling
- School of Environmental Sciences, University of Hull, Hull HU6 7RX, UK
| | - Xin Zheng
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Pengyuan Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Juntao Fan
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jianlong Li
- State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, Hainan 570228, China
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McElroy ME, Dressler TL, Titcomb GC, Wilson EA, Deiner K, Dudley TL, Eliason EJ, Evans NT, Gaines SD, Lafferty KD, Lamberti GA, Li Y, Lodge DM, Love MS, Mahon AR, Pfrender ME, Renshaw MA, Selkoe KA, Jerde CL. Calibrating Environmental DNA Metabarcoding to Conventional Surveys for Measuring Fish Species Richness. Front Ecol Evol 2020. [DOI: 10.3389/fevo.2020.00276] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
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12
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Snyder MR, Stepien CA. Increasing confidence for discerning species and population compositions from metabarcoding assays of environmental samples: case studies of fishes in the Laurentian Great Lakes and Wabash River. METABARCODING AND METAGENOMICS 2020. [DOI: 10.3897/mbmg.4.53455] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Community composition data are essential for conservation management, facilitating identification of rare native and invasive species, along with abundant ones. However, traditional capture-based morphological surveys require considerable taxonomic expertise, are time consuming and expensive, can kill rare taxa and damage habitats, and often are prone to false negatives. Alternatively, metabarcoding assays can be used to assess the genetic identity and compositions of entire communities from environmental samples, comprising a more sensitive, less damaging, and relatively time- and cost-efficient approach. However, there is a trade-off between the stringency of bioinformatic filtering needed to remove false positives and the potential for false negatives. The present investigation thus evaluated use of four mitochondrial (mt) DNA metabarcoding assays and a customized bioinformatic Bioinformatic pipeline to increase confidence in species identifications by removing false positives, while achieving high detection probability. Positive controls were used to calculate sequencing error, and results that fell below those cutoff values were removed, unless found with multiple assays. The performance of this approach was tested to discern and identify North American freshwater fishes using lab experiments (mock communities and aquarium experiments) and processing of a bulk ichthyoplankton sample. The method then was applied to field environmental (e) DNA water samples taken concomitant with electrofishing surveys and morphological identifications. This protocol detected 100% of species present in concomitant electrofishing surveys in the Wabash River and an additional 21 that were absent from traditional sampling. Using single 1 L water samples collected from just four locations, the metabarcoding assays discerned 73% of the total fish species that were discerned during four months of an extensive electrofishing river survey in the Maumee River, along with an additional nine species. In both rivers, total fish species diversity was best resolved when all four metabarcoding assays were used together, which identified 35 additional species missed by electrofishing. Ecological distinction and diversity levels among the fish communities also were better resolved with the metabarcoding assays than with morphological sampling and identifications, especially using all four assays together. At the population-level, metabarcoding analyses targeting the invasive round goby Neogobius melanostomus and the silver carp Hypophthalmichthys molitrix identified all population haplotype variants found using Sanger sequencing of morphologically sampled fish, along with additional intra-specific diversity, meriting further investigation. Overall findings demonstrated that the use of multiple metabarcoding assays and custom bioinformatics that filter potential error from true positive detections improves confidence in evaluating biodiversity.
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Zou K, Chen J, Ruan H, Li Z, Guo W, Li M, Liu L. eDNA metabarcoding as a promising conservation tool for monitoring fish diversity in a coastal wetland of the Pearl River Estuary compared to bottom trawling. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 702:134704. [PMID: 31726353 DOI: 10.1016/j.scitotenv.2019.134704] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/12/2019] [Revised: 09/23/2019] [Accepted: 09/27/2019] [Indexed: 06/10/2023]
Abstract
The difficulty of censusing fish diversity hampers effective management and conservation in estuarine and coastal ecosystems, especially wetland ecosystems. Improved noninvasive fish diversity monitoring programs are becoming increasingly crucial for coastal ecosystems. In this study, we investigated fish diversity and its seasonal variation in the Nansha wetland ecosystem using environmental DNA (eDNA) metabarcoding and bottom trawling, and the two approaches were compared. With the combination of the two methods, the identified fish taxa included 78 species within 60 genera and 33 families, and five nontarget taxa were only identified by eDNA metabarcoding. Compared to the two surveys, eDNA metabarcoding identified a significantly greater number of fish species per site and per season than bottom trawling (p < 0.05), with eDNA metabarcoding identifying 32.05% more fish species than bottom trawling. The overwhelming majority of the fish orders captured in the Nansha coastal wetland by bottom trawling were recovered from eDNA analysis, although certain taxa were not sampled due to limitations. Furthermore, the Whittaker index and relative abundance analysis of the two methods showed distinct differences between the sampling seasons, suggesting seasonal variations and reflecting the current or recent existence of fish species in the coastal ecosystem. Thus, our work provides more detailed seasonal data on biodiversity in the Nansha wetland of the Pearl River Estuary, which is essential for the long-term management and conservation of coastal biodiversity. Our study also adds to the evidence that the eDNA metabarcoding approach can be used in coastal environments to monitor a broad range of taxa and reflect seasonal fluctuations in fish diversity. As an emerging and transformative method, eDNA metabarcoding shows great potential for fish diversity monitoring in coastal wetland ecosystems.
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Affiliation(s)
- Keshu Zou
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences, South China Agricultural University, 510642 Guangzhou, China
| | - Jianwei Chen
- BGI-Qingdao, BGI-Shenzhen, 266555 Qingdao, China
| | - Huiting Ruan
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences, South China Agricultural University, 510642 Guangzhou, China
| | - Zhenhai Li
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences, South China Agricultural University, 510642 Guangzhou, China
| | - Wenjie Guo
- BGI-Qingdao, BGI-Shenzhen, 266555 Qingdao, China
| | - Min Li
- Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, 510300 Guangzhou, China.
| | - Li Liu
- Joint Laboratory of Guangdong Province and Hong Kong Region on Marine Bioresource Conservation and Exploitation, College of Marine Sciences, South China Agricultural University, 510642 Guangzhou, China.
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Kumar G, Eble JE, Gaither MR. A practical guide to sample preservation and pre-PCR processing of aquatic environmental DNA. Mol Ecol Resour 2019; 20:29-39. [PMID: 31633859 DOI: 10.1111/1755-0998.13107] [Citation(s) in RCA: 36] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/04/2019] [Revised: 10/04/2019] [Accepted: 10/11/2019] [Indexed: 11/30/2022]
Abstract
Environmental DNA (eDNA) is rapidly growing in popularity as a tool for community assessments and species detection. While eDNA approaches are now widely applied, there is not yet agreement on best practices for sample collection and processing. Investigators looking to integrate eDNA approaches into their research programme are required to examine a growing collection of disparate studies to make an often uncertain decision about which protocols best fit their needs. To promote the application of eDNA approaches and to encourage the generation of high-quality data, here we review the most common techniques for the collection, preservation and extraction of metazoan eDNA from water samples. Specifically, we focus on experimental studies that compare various methods and outline the numerous challenges associated with eDNA. While the diverse applications of eDNA do not lend themselves to a one-size-fits-all recommendation, in most cases, capture/concentration of eDNA on cellulose nitrate filters (with pore size determined by water turbidity), followed by storage of filters in Longmire's buffer and extraction with a DNeasy Blood & Tissue Kit (or similar) has been shown to provide sufficient, high-quality DNA. However, we also emphasize the importance of testing and optimizing protocols for the system of interest.
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Affiliation(s)
- Girish Kumar
- Department of Biology, University of Central Florida, Genomics and Bioinformatics Cluster, Orlando, FL, USA
| | - Jeff E Eble
- Department of Ocean Engineering and Marine Sciences, Florida Institute of Technology, Melbourne, FL, USA
| | - Michelle R Gaither
- Department of Biology, University of Central Florida, Genomics and Bioinformatics Cluster, Orlando, FL, USA
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