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Schwaiger G, Matt M, Streich P, Bromann S, Clauß M, Elsner M, Seidel M. Standard addition method for rapid, cultivation-independent quantification of Legionella pneumophila cells by qPCR in biotrickling filters. Analyst 2024; 149:2978-2987. [PMID: 38602145 DOI: 10.1039/d3an02207b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/12/2024]
Abstract
Cultivation-independent molecular biological methods are essential to rapidly quantify pathogens like Legionella pneumophila (L. pneumophila) which is important to control aerosol-generating engineered water systems. A standard addition method was established to quantify L. pneumophila in the very complex matrix of process water and air of exhaust air purification systems in animal husbandry. Therefore, cryopreserved standards of viable L. pneumophila were spiked in air and water samples to calibrate the total bioanalytical process which includes cell lysis, DNA extraction, and qPCR. A standard addition algorithm was employed for qPCR to determine the initial concentration of L. pneumophila. In mineral water, the recovery rate of this approach (73%-134% within the concentration range of 100-5000 Legionella per mL) was in good agreement with numbers obtained from conventional genomic unit (GU) calibration with DNA standards. In air samples of biotrickling filters, in contrast, the conventional DNA standard approach resulted in a significant overestimation of up to 729%, whereas our standard addition gave a more realistic recovery of 131%. With this proof-of-principle study, we were able to show that the molecular biology-based standard addition approach is a suitable method to determine realistic concentrations of L. pneumophila in air and process water samples of biotrickling filter systems. Moreover, this quantification strategy is generally a promising method to quantify pathogens in challenging samples containing a complex microbiota and the classical GU approach used for qPCR leads to unreliable results.
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Affiliation(s)
- Gerhard Schwaiger
- Institute of Water Chemistry, Chair of Analytical Chemistry and Water Chemistry, Technical University of Munich, Lichtenbergstraße 4, 85748 Garching, Germany.
| | - Marco Matt
- Institute of Water Chemistry, Chair of Analytical Chemistry and Water Chemistry, Technical University of Munich, Lichtenbergstraße 4, 85748 Garching, Germany.
| | - Philipp Streich
- Institute of Water Chemistry, Chair of Analytical Chemistry and Water Chemistry, Technical University of Munich, Lichtenbergstraße 4, 85748 Garching, Germany.
| | - Sarah Bromann
- Thuenen-Institute for Agricultural Technology, Bundesallee 47, D-38116 Braunschweig, Germany
| | - Marcus Clauß
- Thuenen-Institute for Agricultural Technology, Bundesallee 47, D-38116 Braunschweig, Germany
| | - Martin Elsner
- Institute of Water Chemistry, Chair of Analytical Chemistry and Water Chemistry, Technical University of Munich, Lichtenbergstraße 4, 85748 Garching, Germany.
| | - Michael Seidel
- Institute of Water Chemistry, Chair of Analytical Chemistry and Water Chemistry, Technical University of Munich, Lichtenbergstraße 4, 85748 Garching, Germany.
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2
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Mu Y, Zhang J, Yang J, Wu J, Zhang Y, Yu H, Zhang X. Enhancing amphibian biomonitoring through eDNA metabarcoding. Mol Ecol Resour 2024; 24:e13931. [PMID: 38345249 DOI: 10.1111/1755-0998.13931] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 01/03/2024] [Accepted: 01/10/2024] [Indexed: 02/17/2024]
Abstract
Surveying biodiversity has taken a quantum leap with environmental DNA (eDNA) metabarcoding, an immensely powerful approach lauded for its efficiency, sensitivity, and non-invasiveness. This approach emerges as a game-changer for the elusive realm of endangered and rare species-think nocturnal, environmentally elusive amphibians. Here, we have established a framework for constructing a reliable metabarcoding pipeline for amphibians, covering primer design, performance evaluation, laboratory validation, and field validation processes. The Am250 primer, located on the mitochondrial 16S gene, was optimal for the eDNA monitoring of amphibians, which demonstrated higher taxonomic resolution, smaller species amplification bias, and more extraordinary detection ability compared to the other primers tested. Am250 primer exhibit an 83.8% species amplification rate and 75.4% accurate species identification rate for Chinese amphibians in the in silico PCR and successfully amplified all tested species of the standard samples in the in vitro assay. Furthermore, the field-based mesocosm experiment showed that DNA can still be detected by metabarcoding even days to weeks after organisms have been removed from the mesocosm. Moreover, field mesocosm findings indicate that eDNA metabarcoding primers exhibit different read abundances, which can affect the relative biomass of species. Thus, appropriate primers should be screened and evaluated by three experimental approaches: in silico PCR simulation, target DNA amplification, and mesocosm eDNA validation. The selection of a single primer set or multiple primers' combination should be based on the monitoring groups to improve the species detection rate and the credibility of results.
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Affiliation(s)
- Yawen Mu
- State Key Laboratory of Pollution Control & Resource, School of the Environment, Nanjing University, Nanjing, China
- Jiangsu Provincial Environmental Monitoring Center, Nanjing, China
| | - Jingwen Zhang
- State Key Laboratory of Pollution Control & Resource, School of the Environment, Nanjing University, Nanjing, China
| | - Jianghua Yang
- State Key Laboratory of Pollution Control & Resource, School of the Environment, Nanjing University, Nanjing, China
- School of Marine Science and Engineering, Nanjing Normal University, Nanjing, China
| | - Jun Wu
- Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment of China, Nanjing, China
| | - Yong Zhang
- Jiangsu Provincial Environmental Monitoring Center, Nanjing, China
| | - Hongxia Yu
- State Key Laboratory of Pollution Control & Resource, School of the Environment, Nanjing University, Nanjing, China
| | - Xiaowei Zhang
- State Key Laboratory of Pollution Control & Resource, School of the Environment, Nanjing University, Nanjing, China
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3
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Hartig F, Abrego N, Bush A, Chase JM, Guillera-Arroita G, Leibold MA, Ovaskainen O, Pellissier L, Pichler M, Poggiato G, Pollock L, Si-Moussi S, Thuiller W, Viana DS, Warton DI, Zurell D, Yu DW. Novel community data in ecology-properties and prospects. Trends Ecol Evol 2024; 39:280-293. [PMID: 37949795 DOI: 10.1016/j.tree.2023.09.017] [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: 04/25/2023] [Revised: 09/28/2023] [Accepted: 09/29/2023] [Indexed: 11/12/2023]
Abstract
New technologies for monitoring biodiversity such as environmental (e)DNA, passive acoustic monitoring, and optical sensors promise to generate automated spatiotemporal community observations at unprecedented scales and resolutions. Here, we introduce 'novel community data' as an umbrella term for these data. We review the emerging field around novel community data, focusing on new ecological questions that could be addressed; the analytical tools available or needed to make best use of these data; and the potential implications of these developments for policy and conservation. We conclude that novel community data offer many opportunities to advance our understanding of fundamental ecological processes, including community assembly, biotic interactions, micro- and macroevolution, and overall ecosystem functioning.
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Affiliation(s)
- Florian Hartig
- Theoretical Ecology, University of Regensburg, Regensburg, Germany.
| | - Nerea Abrego
- Department of Biological and Environmental Science, University of Jyväskylä, P.O. Box 35 (Survontie 9C), FI-40014 Jyväskylä, Finland
| | - Alex Bush
- Lancaster Environment Centre, Lancaster University, Lancaster, UK
| | - Jonathan M Chase
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | | | | | - Otso Ovaskainen
- Department of Biological and Environmental Science, University of Jyväskylä, P.O. Box 35 (Survontie 9C), FI-40014 Jyväskylä, Finland; Organismal and Evolutionary Biology Research Programme, Faculty of Biological and Environmental Sciences, University of Helsinki, P.O. Box 65, Helsinki 00014, Finland
| | - Loïc Pellissier
- Ecosystems and Landscape Evolution, Institute of Terrestrial Ecosystems, Department of Environmental Systems Science, ETH Zürich, 8092 Zurich, Switzerland; Unit of Land Change Science, Swiss Federal Research Institute for Forest, Snow and Landscape Research (WSL), 8903 Birmensdorf, Switzerland
| | | | - Giovanni Poggiato
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, F38000, Grenoble, France
| | - Laura Pollock
- Department of Biology, McGill University, Montreal, Quebec, Canada
| | - Sara Si-Moussi
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, F38000, Grenoble, France
| | - Wilfried Thuiller
- Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, F38000, Grenoble, France
| | | | | | | | - Douglas W Yu
- Kunming Institute of Zoology; Yunnan, China; University of East Anglia, Norfolk, UK
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4
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McColl-Gausden EF, Weeks AR, Coleman R, Song S, Tingley R. Using hierarchical models to compare the sensitivity of metabarcoding and qPCR for eDNA detection. ECOL INFORM 2023. [DOI: 10.1016/j.ecoinf.2023.102072] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
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5
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Lemke M, DeSalle R. The Next Generation of Microbial Ecology and Its Importance in Environmental Sustainability. MICROBIAL ECOLOGY 2023; 85:781-795. [PMID: 36826587 PMCID: PMC10156817 DOI: 10.1007/s00248-023-02185-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Accepted: 01/24/2023] [Indexed: 05/04/2023]
Abstract
Collectively, we have been reviewers for microbial ecology, genetics and genomics studies that include environmental DNA (eDNA), microbiome studies, and whole bacterial genome biology for Microbial Ecology and other journals for about three decades. Here, we wish to point out trends and point to areas of study that readers, especially those moving into the next generation of microbial ecology research, might learn and consider. In this communication, we are not saying the work currently being accomplished in microbial ecology and restoration biology is inadequate. What we are saying is that a significant milestone in microbial ecology has been reached, and approaches that may have been overlooked or were unable to be completed before should be reconsidered in moving forward into a new more ecological era where restoration of the ecological trajectory of systems has become critical. It is our hope that this introduction, along with the papers that make up this special issue, will address the sense of immediacy and focus needed to move into the next generation of microbial ecology study.
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Affiliation(s)
- Michael Lemke
- Department of Biology, University of Illinois at Springfield, Springfield, IL, USA.
- Institute for Comparative Genomics, American Museum of Natural History, New York, NY, USA.
| | - Rob DeSalle
- Institute for Comparative Genomics, American Museum of Natural History, New York, NY, USA
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Paula DP, Andow DA. DNA High-Throughput Sequencing for Arthropod Gut Content Analysis to Evaluate Effectiveness and Safety of Biological Control Agents. NEOTROPICAL ENTOMOLOGY 2023; 52:302-332. [PMID: 36478343 DOI: 10.1007/s13744-022-01011-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 11/20/2022] [Indexed: 06/17/2023]
Abstract
The search for effective biological control agents without harmful non-target effects has been constrained by the use of impractical (field direct observation) or imprecise (cage experiments) methods. While advances in the DNA sequencing methods, more specifically the development of high-throughput sequencing (HTS), have been quickly incorporated in biodiversity surveys, they have been slow to be adopted to determine arthropod prey range, predation rate and food web structure, and critical information to evaluate the effectiveness and safety of a biological control agent candidate. The lack of knowledge on how HTS methods could be applied by ecological entomologists constitutes part of the problem, although the lack of expertise and the high cost of the analysis also are important limiting factors. In this review, we describe how the latest HTS methods of metabarcoding and Lazaro, a method to identify prey by mapping unassembled shotgun reads, can serve biological control research, showing both their power and limitations. We explain how they work to determine prey range and also how their data can be used to estimate predation rates and subsequently be translated into food webs of natural enemy and prey populations helping to elucidate their role in the community. We present a brief history of prey detection through molecular gut content analysis and also the attempts to develop a more precise formula to estimate predation rates, a problem that still remains. We focused on arthropods in agricultural ecosystems, but most of what is covered here can be applied to natural systems and non-arthropod biological control candidates as well.
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De Respinis S, Caminada A, Pianta E, Buetti-Dinh A, Riva Scettrini P, Petrini L, Tonolla M, Petrini O. Fungal communities on alpine cheese rinds in Southern Switzerland. BOTANICAL STUDIES 2023; 64:6. [PMID: 36905471 PMCID: PMC10008522 DOI: 10.1186/s40529-023-00371-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 03/02/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND The biodiversity of the mycobiota of soft cheese rinds such as Brie or Camembert has been extensively studied, but scant information is available on the fungi colonizing the rinds of cheese produced in the Southern Switzerland Alps. This study aimed at exploring the fungal communities present on rinds of cheese matured in five cellars in Southern Switzerland and to evaluate their composition with regards to temperature, relative humidity, type of cheese, as well as microenvironmental and geographic factors. We used macro- and microscopical morphology, matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF) mass spectrometry, and sequencing to characterize the fungal communities of the cheeses, and compared them with metabarcoding targeting the ITS region. RESULTS Isolation by serial dilution yielded 201 isolates (39 yeasts and 162 filamentous fungi) belonging to 9 fungal species. Mucor and Penicillium were dominant, with Mucor racemosus, M. lanceolatus, P. biforme, and P. chrysogenum/rubens being the most frequent species. All but two yeast isolates were identified as Debaryomyces hansenii. Metabarcoding detected 80 fungal species. Culture work and metabarcoding produced comparable results in terms of similarity of the fungal cheese rind communities in the five cellars. CONCLUSIONS Our study has shown that the mycobiota on the rinds of the cheeses studied is a comparatively species-poor community influenced by temperature, relative humidity, type of cheese, and manufacturing steps, as well as microenvironmental and possibly geographic factors.
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Affiliation(s)
- Sophie De Respinis
- Institute of Microbiology , University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Via Mirasole 22A, 6500, Bellinzona, Switzerland
| | - AnnaPaola Caminada
- Institute of Microbiology , University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Via Mirasole 22A, 6500, Bellinzona, Switzerland
| | - Elisa Pianta
- Institute of Microbiology , University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Via Mirasole 22A, 6500, Bellinzona, Switzerland
| | - Antoine Buetti-Dinh
- Institute of Microbiology , University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Via Mirasole 22A, 6500, Bellinzona, Switzerland
| | - Patrizia Riva Scettrini
- Agriculture Advisory Service, Republic and Canton of Ticino, Viale Stefano Franscini 17, 6501, Bellinzona, Switzerland
| | | | - Mauro Tonolla
- Institute of Microbiology , University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Via Mirasole 22A, 6500, Bellinzona, Switzerland
| | - Orlando Petrini
- Institute of Microbiology , University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Via Mirasole 22A, 6500, Bellinzona, Switzerland.
- POLE Pharma Consulting, Via Al Perato 15C, 6932, Breganzona, Switzerland.
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8
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Willassen E, Westgaard JI, Kongsrud JA, Hanebrekke T, Buhl-Mortensen P, Holte B. Benthic invertebrates in Svalbard fjords-when metabarcoding does not outperform traditional biodiversity assessment. PeerJ 2022; 10:e14321. [PMID: 36415859 PMCID: PMC9676020 DOI: 10.7717/peerj.14321] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 10/10/2022] [Indexed: 11/18/2022] Open
Abstract
To protect and restore ecosystems and biodiversity is one of the 10 challenges identified by the United Nations's Decade of the Ocean Science. In this study we used eDNA from sediments collected in two fjords of the Svalbard archipelago and compared the taxonomic composition with traditional methods through metabarcoding, targeting mitochondrial CO1, to survey benthos. Clustering of 21.6 mill sequence reads with a d value of 13 in swarm, returned about 25 K OTU reads. An identification search with the BOLD database returned 12,000 taxonomy annotated sequences spanning a similarity range of 50% to 100%. Using an acceptance filter of minimum 90% similarity to the CO1 reference sequence, we found that 74% of the ca 100 taxon identified sequence reads were Polychaeta and 22% Nematoda. Relatively few other benthic invertebrate species were detected. Many of the identified sequence reads were extra-organismal DNA from terrestrial, planktonic, and photic zone sources. For the species rich Polychaeta, we found that, on average, only 20.6% of the species identified from morphology were also detected with DNA. This discrepancy was not due to missing reference sequences in the search database, because 90-100% (mean 96.7%) of the visually identified species at each station were represented with barcodes in Boldsystems. The volume of DNA samples is small compared with the volume searched in visual sorting, and the replicate DNA-samples in sum covered only about 2% of the surface area of a grab. This may considerably reduce the detection rate of species that are not uniformly distributed in the sediments. Along with PCR amplification bias and primer mismatch, this may be an important reason for the limited congruence of species identified with the two approaches. However, metabarcoding also identified 69 additional species that are usually overlooked in visual sample sorting, demonstrating how metabarcoding can complement traditional methodology by detecting additional, less conspicuous groups of organisms.
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Affiliation(s)
- Endre Willassen
- Department of Natural History, University of Bergen, Bergen, Norway
| | - Jon-Ivar Westgaard
- Department of Population Genetics, Institute of Marine Research, Tromsø, Troms, Norway
| | | | - Tanja Hanebrekke
- Department of Population Genetics, Institute of Marine Research, Tromsø, Troms, Norway
| | - Pål Buhl-Mortensen
- Department of Bentic Communities, Institute of Marine Research, Bergen, Norway
| | - Børge Holte
- Department of Bentic Communities, Institute of Marine Research, Tromsø, Troms, Norway
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9
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Yao M, Zhang S, Lu Q, Chen X, Zhang SY, Kong Y, Zhao J. Fishing for fish environmental DNA: Ecological applications, methodological considerations, surveying designs, and ways forward. Mol Ecol 2022; 31:5132-5164. [PMID: 35972241 DOI: 10.1111/mec.16659] [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: 03/18/2022] [Revised: 07/20/2022] [Accepted: 07/27/2022] [Indexed: 12/15/2022]
Abstract
Vast global declines of freshwater and marine fish diversity and population abundance pose serious threats to both ecosystem sustainability and human livelihoods. Environmental DNA (eDNA)-based biomonitoring provides robust, efficient, and cost-effective assessment of species occurrences and population trends in diverse aquatic environments. Thus, it holds great potential for improving conventional surveillance frameworks to facilitate fish conservation and fisheries management. However, the many technical considerations and rapid developments underway in the eDNA arena can overwhelm researchers and practitioners new to the field. Here, we systematically analysed 416 fish eDNA studies to summarize research trends in terms of investigated targets, research aims, and study systems, and reviewed the applications, rationales, methodological considerations, and limitations of eDNA methods with an emphasis on fish and fisheries research. We highlighted how eDNA technology may advance our knowledge of fish behaviour, species distributions, population genetics, community structures, and ecological interactions. We also synthesized the current knowledge of several important methodological concerns, including the qualitative and quantitative power eDNA has to recover fish biodiversity and abundance, and the spatial and temporal representations of eDNA with respect to its sources. To facilitate ecological applications implementing fish eDNA techniques, recent literature was summarized to generate guidelines for effective sampling in lentic, lotic, and marine habitats. Finally, we identified current gaps and limitations, and pointed out newly emerging research avenues for fish eDNA. As methodological optimization and standardization improve, eDNA technology should revolutionize fish monitoring and promote biodiversity conservation and fisheries management that transcends geographic and temporal boundaries.
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Affiliation(s)
- Meng Yao
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China.,School of Life Sciences, Peking University, Beijing, China
| | - Shan Zhang
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China.,School of Life Sciences, Peking University, Beijing, China
| | - Qi Lu
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China.,School of Life Sciences, Peking University, Beijing, China
| | - Xiaoyu Chen
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China.,School of Life Sciences, Peking University, Beijing, China
| | - Si-Yu Zhang
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China.,School of Life Sciences, Peking University, Beijing, China
| | - Yueqiao Kong
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China.,School of Life Sciences, Peking University, Beijing, China
| | - Jindong Zhao
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China.,School of Life Sciences, Peking University, Beijing, China
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10
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Paula DP, Timbó RV, Togawa RC, Vogler AP, Andow DA. Quantitative prey species detection in predator guts across multiple trophic levels by mapping unassembled shotgun reads. Mol Ecol Resour 2022; 23:64-80. [DOI: 10.1111/1755-0998.13690] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 06/11/2022] [Accepted: 07/05/2022] [Indexed: 11/29/2022]
Affiliation(s)
- Débora P. Paula
- Embrapa Recursos Genéticos e Biotecnologia Brasília DF Brazil
| | - Renata V. Timbó
- Embrapa Recursos Genéticos e Biotecnologia Brasília DF Brazil
- Universidade de Brasília, Campus Universitário Darcy Ribeiro Brasília DF Brazil
| | | | - Alfried P. Vogler
- Imperial College London Ascot UK
- Department of Life Sciences Natural History Museum London UK
| | - David A. Andow
- Department of Entomology University of Minnesota St. Paul USA
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11
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Lunghi E, Valle B, Guerrieri A, Bonin A, Cianferoni F, Manenti R, Ficetola GF. Environmental DNA of insects and springtails from caves reveals complex processes of eDNA transfer in soils. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 826:154022. [PMID: 35202680 DOI: 10.1016/j.scitotenv.2022.154022] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 02/01/2022] [Accepted: 02/15/2022] [Indexed: 06/14/2023]
Abstract
Subterranean environments host a substantial amount of biodiversity, however assessing the distribution of species living underground is still extremely challenging. Environmental DNA (eDNA) metabarcoding is a powerful tool to estimate biodiversity in poorly known environments and has excellent performance for soil organisms. Here, we tested 1) whether eDNA metabarcoding from cave soils/sediments allows to successfully detect springtails (Hexapoda: Collembola) and insects (Hexapoda: Insecta); 2) whether eDNA mostly represents autochthonous (cave-dwelling) organisms or it also incorporates information from species living in surface environments; 3) whether eDNA detection probability changes across taxa with different ecology. Environmental DNA metabarcoding analyses detected a large number of Molecular Operational Taxonomic Units (MOTUs) for both insects and springtails. For springtails, detection probability was high, with a substantial proportion of hypogean species, suggesting that eDNA provides good information on the distribution of these organisms in caves. Conversely, for insects most of MOTUs represented taxa living outside caves, and the majority of them represented taxa/organisms living in freshwater environments (Ephemeroptera, Plecoptera and Trichoptera). The eDNA of freshwater insects was particularly abundant in deep sectors of caves, far from the entrance. Furthermore, average detection probability of insects was significantly lower than the one of springtails. This suggests that cave soils/sediments act as "conveyer belts of biodiversity information", possibly because percolating water lead to the accumulation of eDNA of organisms living in nearby areas. Cave soils hold a complex mix of autochthonous and allochthonous eDNA. eDNA provided unprecedented information on the understudied subterranean cave organisms; analyses of detection probability and occupancy can help teasing apart local eDNA from the eDNA representing spatially-integrated biodiversity for whole landscape.
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Affiliation(s)
- Enrico Lunghi
- Division of Molecular Biology Ruđer Bošković Institute, Zagreb, Croatia; Natural Oasis, Prato, Italy.
| | - Barbara Valle
- Dipartimento di Bioscienze, Università degli Studi di Milano, Milano, Italy; Unità di Climatologia ed Ecologia, MUSE-Museo delle Scienze di Trento, Italy
| | - Alessia Guerrieri
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Milano, Italy
| | - Aurélie Bonin
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Milano, Italy
| | - Fabio Cianferoni
- Istituto di Ricerca sugli Ecosistemi Terrestri (IRET), Consiglio Nazionale delle Ricerche (CNR), Sesto Fiorentino (Firenze), Italy; Zoologia, La Specola, Museo di Storia Naturale, Università degli Studi di Firenze, Firenze, Italy
| | - Raoul Manenti
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Milano, Italy; Laboratorio di Biologia Sotterranea "Enrico Pezzoli", Parco Regionale del Monte Barro, Galbiate, Italy
| | - Gentile Francesco Ficetola
- Dipartimento di Scienze e Politiche Ambientali, Università degli Studi di Milano, Milano, Italy; Laboratoire d'Écologie Alpine (LECA), Université Grenoble Alpes, CNRS, Grenoble, France
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12
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Keller AG, Grason EW, McDonald PS, Ramón-Laca A, Kelly RP. Tracking an invasion front with environmental DNA. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2022; 32:e2561. [PMID: 35128750 DOI: 10.1002/eap.2561] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 10/21/2021] [Accepted: 12/14/2021] [Indexed: 05/03/2023]
Abstract
Data from environmental DNA (eDNA) may revolutionize environmental monitoring and management, providing increased detection sensitivity at reduced cost and survey effort. However, eDNA data are rarely used in decision-making contexts, mainly due to uncertainty around (1) data interpretation and (2) whether and how molecular tools dovetail with existing management efforts. We address these challenges by jointly modeling eDNA detection via qPCR and traditional trap data to estimate the density of invasive European green crab (Carcinus maenas), a species for which, historically, baited traps have been used for both detection and control. Our analytical framework simultaneously quantifies uncertainty in both detection methods and provides a robust way of integrating different data streams into management processes. Moreover, the joint model makes clear the marginal information benefit of adding eDNA (or any other) additional data type to an existing monitoring program, offering a path to optimizing sampling efforts for species of management interest. Here, we document green crab eDNA beyond the previously known invasion front and find that the value of eDNA data dramatically increases with low population densities and low traditional sampling effort, as is often the case at leading-edge locations. We also highlight the detection limits of the molecular assay used in this study, as well as scenarios under which eDNA sampling is unlikely to improve existing management efforts.
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Affiliation(s)
- Abigail G Keller
- School of Marine and Environmental Affairs, University of Washington, Seattle, Washington, USA
| | - Emily W Grason
- Washington Sea Grant, University of Washington, Seattle, Washington, USA
| | - P Sean McDonald
- School of Aquatic & Fishery Sciences, University of Washington, Seattle, Washington, USA
| | - Ana Ramón-Laca
- CICOES, University of Washington at Northwest Fisheries Science Center, Seattle, Washington, USA
| | - Ryan P Kelly
- School of Marine and Environmental Affairs, University of Washington, Seattle, Washington, USA
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13
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Evaluating eDNA for Use within Marine Environmental Impact Assessments. JOURNAL OF MARINE SCIENCE AND ENGINEERING 2022. [DOI: 10.3390/jmse10030375] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
In this review, the use of environmental DNA (eDNA) within Environmental Impact Assessment (EIA) is evaluated. EIA documents provide information required by regulators to evaluate the potential impact of a development project. Currently eDNA is being incorporated into biodiversity assessments as a complementary method for detecting rare, endangered or invasive species. However, questions have been raised regarding the maturity of the field and the suitability of eDNA information as evidence for EIA. Several key issues are identified for eDNA information within a generic EIA framework for marine environments. First, it is challenging to define the sampling unit and optimal sampling strategy for eDNA with respect to the project area and potential impact receptor. Second, eDNA assay validation protocols are preliminary at this time. Third, there are statistical issues around the probability of obtaining both false positives (identification of taxa that are not present) and false negatives (non-detection of taxa that are present) in results. At a minimum, an EIA must quantify the uncertainty in presence/absence estimates by combining series of Bernoulli trials with ad hoc occupancy models. Finally, the fate and transport of DNA fragments is largely unknown in environmental systems. Shedding dynamics, biogeochemical and physical processes that influence DNA fragments must be better understood to be able to link an eDNA signal with the receptor’s state. The biggest challenge is that eDNA is a proxy for the receptor and not a direct measure of presence. Nonetheless, as more actors enter the field, technological solutions are likely to emerge for these issues. Environmental DNA already shows great promise for baseline descriptions of the presence of species surrounding a project and can aid in the identification of potential receptors for EIA monitoring using other methods.
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14
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Buxton A, Diana A, Matechou E, Griffin J, Griffiths RA. Reliability of environmental DNA surveys to detect pond occupancy by newts at a national scale. Sci Rep 2022; 12:1295. [PMID: 35079132 PMCID: PMC8789902 DOI: 10.1038/s41598-022-05442-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2021] [Accepted: 01/05/2022] [Indexed: 11/09/2022] Open
Abstract
The distribution assessment and monitoring of species is key to reliable environmental impact assessments and conservation interventions. Considerable effort is directed towards survey and monitoring of great crested newts (Triturus cristatus) in England. Surveys are increasingly undertaken using indirect methodologies, such as environmental DNA (eDNA). We used a large data set to estimate national pond occupancy rate, as well as false negative and false positive error rates, for commercial eDNA protocols. Additionally, we explored a range of habitat, landscape and climatic variables as predictors of pond occupancy. In England, 20% of ponds were estimated to be occupied by great crested newts. Pond sample collection error rates were estimated as 5.2% false negative and 1.5% false positive. Laboratory error indicated a negligible false negative rate when 12 qPCR replicates were used. Laboratory false positive error was estimated at 2% per qPCR replicate and is therefore exaggerated by high levels of laboratory replication. Including simple habitat suitability variables into the model revealed the importance of fish, plants and shading as predictors of newt presence. However, variables traditionally considered as important for newt presence may need more precise and consistent measurement if they are to be employed as reliable predictors in modelling exercises.
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Affiliation(s)
- Andrew Buxton
- Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, University of Kent, Marlowe Building, Canterbury, Kent, CT2 7NR, UK. .,The Royal Agricultural University, Stroud Rd, Cirencester, GL7 6JS, UK.
| | - Alex Diana
- School of Mathematics, Statistics and Actuarial Science, University of Kent, Sibson Building, Canterbury, CT2 7FS, UK
| | - Eleni Matechou
- School of Mathematics, Statistics and Actuarial Science, University of Kent, Sibson Building, Canterbury, CT2 7FS, UK
| | - Jim Griffin
- Department of Statistical Science, University College London, 196-199 Tottenham Court Rd, Bloomsbury, London, W1T 7PJ, UK
| | - Richard A Griffiths
- Durrell Institute of Conservation and Ecology, School of Anthropology and Conservation, University of Kent, Marlowe Building, Canterbury, Kent, CT2 7NR, UK
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15
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Brown AG, Van Hardenbroek M, Fonville T, Davies K, Mackay H, Murray E, Head K, Barratt P, McCormick F, Ficetola GF, Gielly L, Henderson ACG, Crone A, Cavers G, Langdon PG, Whitehouse NJ, Pirrie D, Alsos IG. Ancient DNA, lipid biomarkers and palaeoecological evidence reveals construction and life on early medieval lake settlements. Sci Rep 2021; 11:11807. [PMID: 34083588 PMCID: PMC8175756 DOI: 10.1038/s41598-021-91057-x] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2020] [Accepted: 05/04/2021] [Indexed: 11/17/2022] Open
Abstract
Direct evidence of ancient human occupation is typically established through archaeological excavation. Excavations are costly and destructive, and practically impossible in some lake and wetland environments. We present here an alternative approach, providing direct evidence from lake sediments using DNA metabarcoding, steroid lipid biomarkers (bile acids) and from traditional environmental analyses. Applied to an early Medieval Celtic settlement in Ireland (a crannog) this approach provides a site chronology and direct evidence of human occupation, crops, animal farming and on-site slaughtering. This is the first independently-dated, continuous molecular archive of human activity from an archeological site, demonstrating a link between animal husbandry, food resources, island use. These sites are under threat but are impossible to preserve in-situ so this approach can be used, with or without excavation, to produce a robust and full site chronology and provide direct evidence of occupation, the use of plants and animals, and activities such as butchery.
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Affiliation(s)
- A G Brown
- Tromsø Museum, Artic University of Norway, Tromsø, Norway. .,School of Geography and Environmental Science, University of Southampton, Southampton, UK.
| | - M Van Hardenbroek
- School of Geography, Politics and Sociology, Newcastle University, Newcastle upon Tyne, UK
| | - T Fonville
- School of Geography and Environmental Science, University of Southampton, Southampton, UK
| | - K Davies
- School of Geography, Earth and Environmental Sciences, University of Plymouth, Plymouth, UK.,IMSET, Bournemouth University, Poole, UK
| | - H Mackay
- School of Geography, Politics and Sociology, Newcastle University, Newcastle upon Tyne, UK.,Department of Geography, Durham University, Durham, UK
| | - E Murray
- Archaeology, Queens University, Belfast, Northern Ireland, UK
| | - K Head
- School of Geography, Earth and Environmental Sciences, University of Plymouth, Plymouth, UK
| | - P Barratt
- School of Geography, Earth and Environmental Sciences, University of Plymouth, Plymouth, UK
| | - F McCormick
- Archaeology, Queens University, Belfast, Northern Ireland, UK
| | - G F Ficetola
- Department of Environmental Science and Policy, University of Milan, Milan, Italy.,LECA, Laboratoire d'Ecologie Alpine, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, Grenoble, France
| | - L Gielly
- LECA, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS, Grenoble, France
| | - A C G Henderson
- School of Geography, Politics and Sociology, Newcastle University, Newcastle upon Tyne, UK
| | - A Crone
- AOC Group Ltd., Edinburgh, Scotland, UK
| | - G Cavers
- AOC Group Ltd., Edinburgh, Scotland, UK
| | - P G Langdon
- School of Geography and Environmental Science, University of Southampton, Southampton, UK
| | - N J Whitehouse
- Department of Archaeology, School of Humanities, University of Glasgow, Glasgow, UK
| | - D Pirrie
- School of Applied Sciences, University of South Wales, Pontypridd, UK
| | - I G Alsos
- Tromsø Museum, Artic University of Norway, Tromsø, Norway
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16
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Optimising sampling and analysis protocols in environmental DNA studies. Sci Rep 2021; 11:11637. [PMID: 34079031 PMCID: PMC8172848 DOI: 10.1038/s41598-021-91166-7] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Accepted: 05/18/2021] [Indexed: 11/09/2022] Open
Abstract
Ecological surveys risk incurring false negative and false positive detections of the target species. With indirect survey methods, such as environmental DNA, such error can occur at two stages: sample collection and laboratory analysis. Here we analyse a large qPCR based eDNA data set using two occupancy models, one of which accounts for false positive error by Griffin et al. (J R Stat Soc Ser C Appl Stat 69: 377-392, 2020), and a second that assumes no false positive error by Stratton et al. (Methods Ecol Evol 11: 1113-1120, 2020). Additionally, we apply the Griffin et al. (2020) model to simulated data to determine optimal levels of replication at both sampling stages. The Stratton et al. (2020) model, which assumes no false positive results, consistently overestimated both overall and individual site occupancy compared to both the Griffin et al. (2020) model and to previous estimates of pond occupancy for the target species. The inclusion of replication at both stages of eDNA analysis (sample collection and in the laboratory) reduces both bias and credible interval width in estimates of both occupancy and detectability. Even the collection of > 1 sample from a site can improve parameter estimates more than having a high number of replicates only within the laboratory analysis.
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17
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Jacobs-Palmer E, Gallego R, Cribari K, Keller AG, Kelly RP. Environmental DNA Metabarcoding for Simultaneous Monitoring and Ecological Assessment of Many Harmful Algae. Front Ecol Evol 2021. [DOI: 10.3389/fevo.2021.612107] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
Harmful algae can have profound economic, environmental, and social consequences. As the timing, frequency, and severity of harmful algal blooms (HABs) change alongside global climate, efficient tools to monitor and understand the current ecological context of these taxa are increasingly important. Here we employ environmental DNA metabarcoding to identify patterns in a wide variety of potentially harmful algae and associated ecological communities in the Hood Canal of Puget Sound in Washington State, USA. Tracking trends of occurrence in a series of water samples over a period of 19 months, we find algal sequences from genera with harmful members in a majority of samples, suggesting that these groups are routinely present in local waters. We report patterns in variants of the economically important genus Pseudo-nitzschia (of which some members produce domoic acid; family Bacillariaceae), as well as multiple potentially harmful algal taxa previously unknown or poorly documented in the region, including a cold-water variant from the genus Alexandrium (of which some members produce saxitoxin; family Gonyaulacaceae), two variants from the genus Karlodinium (of which some members produce karlotoxins; family Kareniaceae), and one variant from the parasitic genus Hematodinium (family Syndiniaceae). We then use data on environmental variables and the biological community surrounding each algal taxon to illustrate the ecological context in which they are commonly found. Environmental DNA metabarcoding thus simultaneously (1) alerts us to potential new or cryptic occurrences of algae from harmful genera, (2) expands our knowledge of the co-occurring conditions and species associated with the growth of these organisms in changing marine environments, and (3) suggests a pathway for multispecies monitoring and management moving forward.
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18
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Jurburg SD, Keil P, Singh BK, Chase JM. All together now: Limitations and recommendations for the simultaneous analysis of all eukaryotic soil sequences. Mol Ecol Resour 2021; 21:1759-1771. [PMID: 33943001 DOI: 10.1111/1755-0998.13401] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2021] [Revised: 03/31/2021] [Accepted: 04/13/2021] [Indexed: 02/06/2023]
Abstract
The soil environment contains a large, but historically underexplored, reservoir of biodiversity. Sequencing prokaryotic marker genes has become commonplace for the discovery and characterization of soil bacteria and archaea. Increasingly, this approach is also applied to eukaryotic marker genes to characterize the diversity and distribution of soil eukaryotes. However, understanding the properties and limitations of eukaryotic marker sequences is essential for correctly analysing, interpreting, and synthesizing the resulting data. Here, we illustrate several biases from sequencing data that affect measurements of biodiversity that arise from variation in morphology, taxonomy and phylogeny between organisms, as well as from sampling designs. We recommend analytical approaches to overcome these limitations, and outline how the benchmarking and standardization of sequencing protocols may improve the comparability of the data.
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Affiliation(s)
- Stephanie D Jurburg
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.,Institute of Biology, Leipzig University, Leipzig, Germany
| | - Petr Keil
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.,Department of Computer Science, Martin Luther University, Halle-Wittenberg, Halle, Germany.,Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Praha-Suchdol, Czech Republic
| | - Brajesh K Singh
- Hawkesbury Institute for the Environment, and Global Centre for Land-Based Innovation, Western Sydney University, Penrith, NSW, Australia
| | - Jonathan M Chase
- German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.,Department of Computer Science, Martin Luther University, Halle-Wittenberg, Halle, Germany
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19
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Euclide PT, Lor Y, Spear MJ, Tajjioui T, Vander Zanden J, Larson WA, Amberg JJ. Environmental DNA metabarcoding as a tool for biodiversity assessment and monitoring: reconstructing established fish communities of north‐temperate lakes and rivers. DIVERS DISTRIB 2021. [DOI: 10.1111/ddi.13253] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Affiliation(s)
- Peter T. Euclide
- Wisconsin Cooperative Fishery Research Unit College of Natural Resources University of Wisconsin‐Stevens Point Stevens Point WI USA
| | - Yer Lor
- U.S. Geological Survey Upper Midwest Environmental Sciences Center WI USA
| | - Michael J. Spear
- Center for Limnology University of Wisconsin‐Madison Madison WI USA
| | - Tariq Tajjioui
- U.S. Geological Survey Upper Midwest Environmental Sciences Center WI USA
| | | | - Wesley A. Larson
- Wisconsin Cooperative Fishery Research Unit College of Natural Resources University of Wisconsin‐Stevens Point Stevens Point WI USA
- U.S. Geological Survey Wisconsin Cooperative Fishery Research Unit College of Natural Resources University of Wisconsin‐Stevens Point Stevens Point WI USA
| | - Jon J. Amberg
- U.S. Geological Survey Upper Midwest Environmental Sciences Center WI USA
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20
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Valdivia-Carrillo T, Rocha-Olivares A, Reyes-Bonilla H, Domínguez-Contreras JF, Munguia-Vega A. Integrating eDNA metabarcoding and simultaneous underwater visual surveys to describe complex fish communities in a marine biodiversity hotspot. Mol Ecol Resour 2021; 21:1558-1574. [PMID: 33683812 DOI: 10.1111/1755-0998.13375] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 02/13/2021] [Accepted: 03/02/2021] [Indexed: 12/01/2022]
Abstract
Marine biodiversity can be surveyed using underwater visual censuses and recently with eDNA metabarcoding. Although a promising tool, eDNA studies have shown contrasting results related to its detection scale and the number of species identified compared to other survey methods. Also, its accuracy relies on complete reference databases used for taxonomic assignment and, as other survey methods, species detection may show false-negative and false-positive errors. Here, we compared results from underwater visual censuses and simultaneous eDNA metabarcoding fish surveys in terms of observed species and community composition. We also assess the effect of a custom reference database in the taxonomic assignment, and evaluate occupancy, capture and detection probabilities, as well as error rates of eDNA survey data. We amplified a 12S rRNA fish barcode from 24 sampling sites in the gulf of California. More species were detected with eDNA metabarcoding than with UVC. Because each survey method largely detected different sets of species, the combined approach doubled the number of species registered. Both survey methods recovered a known biodiversity gradient and a biogeographic break, but eDNA captured diversity over a broader geographic and bathymetric scale. Furthermore, the use of a modest-sized custom reference database significantly increased taxonomic assignment. In a subset of species, occupancy models revealed eDNA surveys provided similar or higher detection probabilities compared to UVC. The occupancy value of each species had a large influence on eDNA detectability, and in the false positive and negative error. Overall, these results highlight the potential of eDNA metabarcoding in complementing other established ecological methods for studies of marine fishes.
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Affiliation(s)
- Tania Valdivia-Carrillo
- Laboratorio de Ecología Molecular, Departamento de Oceanografía Biológica, Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Ensenada, Baja California Sur, México.,Lab Applied Genomics, La Paz, Baja California Sur, México
| | - Axayácatl Rocha-Olivares
- Laboratorio de Ecología Molecular, Departamento de Oceanografía Biológica, Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Ensenada, Baja California Sur, México
| | - Héctor Reyes-Bonilla
- Laboratorio de Sistemas Arrecifales, Universidad Autónoma de Baja California Sur (UABCS), La Paz, Baja California Sur, México
| | | | - Adrian Munguia-Vega
- Conservation Genetics Laboratory & Desert Laboratory on Tumamoc Hill, The University of Arizona, Tucson, AZ, USA.,Lab Applied Genomics, La Paz, Baja California Sur, México
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21
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Burian A, Mauvisseau Q, Bulling M, Domisch S, Qian S, Sweet M. Improving the reliability of eDNA data interpretation. Mol Ecol Resour 2021; 21:1422-1433. [PMID: 33655639 DOI: 10.1111/1755-0998.13367] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2020] [Revised: 01/07/2021] [Accepted: 02/24/2021] [Indexed: 02/06/2023]
Abstract
Global declines in biodiversity highlight the need to effectively monitor the density and distribution of threatened species. In recent years, molecular survey methods detecting DNA released by target-species into their environment (eDNA) have been rapidly on the rise. Despite providing new, cost-effective tools for conservation, eDNA-based methods are prone to errors. Best field and laboratory practices can mitigate some, but the risks of errors cannot be eliminated and need to be accounted for. Here, we synthesize recent advances in data processing tools that increase the reliability of interpretations drawn from eDNA data. We review advances in occupancy models to consider spatial data-structures and simultaneously assess rates of false positive and negative results. Further, we introduce process-based models and the integration of metabarcoding data as complementing approaches to increase the reliability of target-species assessments. These tools will be most effective when capitalizing on multi-source data sets collating eDNA with classical survey and citizen-science approaches, paving the way for more robust decision-making processes in conservation planning.
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Affiliation(s)
- Alfred Burian
- Aquatic Research Facility, Environmental Sustainability Research Centre, University of Derby, Derby, UK.,Marine Ecology Department, Lurio University, Nampula, Mozambique.,Department of Computational Landscape Ecology, UFZ - Helmholtz Centre for Environmental Research, Leipzig, Germany
| | - Quentin Mauvisseau
- Aquatic Research Facility, Environmental Sustainability Research Centre, University of Derby, Derby, UK.,Natural History Museum, University of Oslo, Oslo, Norway
| | - Mark Bulling
- Aquatic Research Facility, Environmental Sustainability Research Centre, University of Derby, Derby, UK
| | - Sami Domisch
- Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany
| | - Song Qian
- Department of Environmental Sciences, University of Toledo, Toledo, OH, USA
| | - Michael Sweet
- Aquatic Research Facility, Environmental Sustainability Research Centre, University of Derby, Derby, UK
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22
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Lake Sedimentary DNA Research on Past Terrestrial and Aquatic Biodiversity: Overview and Recommendations. QUATERNARY 2021. [DOI: 10.3390/quat4010006] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The use of lake sedimentary DNA to track the long-term changes in both terrestrial and aquatic biota is a rapidly advancing field in paleoecological research. Although largely applied nowadays, knowledge gaps remain in this field and there is therefore still research to be conducted to ensure the reliability of the sedimentary DNA signal. Building on the most recent literature and seven original case studies, we synthesize the state-of-the-art analytical procedures for effective sampling, extraction, amplification, quantification and/or generation of DNA inventories from sedimentary ancient DNA (sedaDNA) via high-throughput sequencing technologies. We provide recommendations based on current knowledge and best practises.
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23
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van Zinnicq Bergmann MPM, Postaire BD, Gastrich K, Heithaus MR, Hoopes LA, Lyons K, Papastamatiou YP, Schneider EVC, Strickland BA, Talwar BS, Chapman DD, Bakker J. Elucidating shark diets with DNA metabarcoding from cloacal swabs. Mol Ecol Resour 2021; 21:1056-1067. [PMID: 33527665 DOI: 10.1111/1755-0998.13315] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 12/07/2020] [Accepted: 12/18/2020] [Indexed: 12/20/2022]
Abstract
Animal dietary information provides the foundation for understanding trophic relationships, which is essential for ecosystem management. Yet, in marine systems, high-resolution diet reconstruction tools are currently under-developed. This is particularly pertinent for large marine vertebrates, for which direct foraging behaviour is difficult or impossible to observe and, due to their conservation status, the collection of stomach contents at adequate sample sizes is frequently impossible. Consequently, the diets of many groups, such as sharks, have largely remained unresolved. To address this knowledge gap, we applied metabarcoding to prey DNA in faecal residues (fDNA) collected on cotton swabs from the inside of a shark's cloaca. We used a previously published primer set targeting a small section of the 12S rRNA mitochondrial gene to amplify teleost prey species DNA. We tested the utility of this method in a controlled feeding experiment with captive juvenile lemon sharks (Negaprion brevirostris) and on free-ranging juvenile bull sharks (Carcharhinus leucas). In the captive trial, we successfully isolated and correctly identified teleost prey DNA without incurring environmental DNA contamination from the surrounding seawater. In the field, we were able to reconstruct high-resolution teleost dietary information from juvenile C. leucas fDNA that was generally consistent with expectations based on published diet studies of this species. While further investigation is needed to validate the method for larger sharks and other species, it is expected to be broadly applicable to aquatic vertebrates and provides an opportunity to advance our understanding of trophic interactions in marine and freshwater systems.
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Affiliation(s)
- Maurits P M van Zinnicq Bergmann
- Institute of Environment, Department of Biological Sciences, Florida International University, North Miami, Florida, USA.,Bimini Biological Field Station Foundation, Bimini, The Bahamas
| | - Bautisse D Postaire
- Institute of Environment, Department of Biological Sciences, Florida International University, North Miami, Florida, USA
| | - Kirk Gastrich
- Institute of Environment, Department of Biological Sciences, Florida International University, North Miami, Florida, USA
| | - Michael R Heithaus
- Institute of Environment, Department of Biological Sciences, Florida International University, North Miami, Florida, USA
| | | | | | - Yannis P Papastamatiou
- Institute of Environment, Department of Biological Sciences, Florida International University, North Miami, Florida, USA
| | - Eric V C Schneider
- Exuma Sound Ecosystem Research Project, Cape Eleuthera Institute, Eleuthera, The Bahamas
| | - Bradley A Strickland
- Institute of Environment, Department of Biological Sciences, Florida International University, North Miami, Florida, USA
| | - Brendan S Talwar
- Institute of Environment, Department of Biological Sciences, Florida International University, North Miami, Florida, USA.,Exuma Sound Ecosystem Research Project, Cape Eleuthera Institute, Eleuthera, The Bahamas
| | - Demian D Chapman
- Institute of Environment, Department of Biological Sciences, Florida International University, North Miami, Florida, USA
| | - Judith Bakker
- Institute of Environment, Department of Biological Sciences, Florida International University, North Miami, Florida, USA
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24
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Jerde CL. Can we manage fisheries with the inherent uncertainty from eDNA? JOURNAL OF FISH BIOLOGY 2021; 98:341-353. [PMID: 31769024 DOI: 10.1111/jfb.14218] [Citation(s) in RCA: 34] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2019] [Accepted: 11/25/2019] [Indexed: 06/10/2023]
Abstract
Environmental (e)DNA, as a general approach in aquatic systems, seeks to connect the presence of species' genetic material in the water and hence to infer the species' physical presence. However, fisheries managers face making decisions with risk and uncertainty when eDNA indicates a fish is present but traditional methods fail to capture the fish. In comparison with traditional methods such as nets, electrofishing and piscicides, eDNA approaches have more sources of underlying error that could give rise to false positives. This has resulted in some managers to question whether eDNA can be used to make management decisions because there is no fish in hand. As a relatively new approach, the methods and techniques have quickly evolved to improve confidence in eDNA. By evaluating an eDNA based research programmes through the pattern of the eDNA signal, assay design, experimental design, quality assurance and quality control checks, data analyses and concurrent search for fish using traditional gears, the evidence for fish presence can be evaluated to build confidence in the eDNA approach. The benefits for fisheries management from adopting an eDNA approach are numerous but include cost effectiveness, broader geographic coverage of habitat occupancy, early detection of invasive species, non-lethal stock assessments, exploration of previously inaccessible aquatic environments and discovery of new species hidden beneath the water's surface. At a time when global freshwater and marine fisheries are facing growing threats from over-harvest, pollution and climate change, we anticipate that growing confidence in eDNA will overcome the inherent uncertainty of not having a fish in hand and will empower the informed management actions necessary to protect and restore our fisheries.
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Affiliation(s)
- Christopher L Jerde
- Marine Science Institute, University of California, Santa Barbara, California, USA
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25
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Sepulveda AJ, Hutchins PR, Forstchen M, Mckeefry MN, Swigris AM. The Elephant in the Lab (and Field): Contamination in Aquatic Environmental DNA Studies. Front Ecol Evol 2020. [DOI: 10.3389/fevo.2020.609973] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
The rapid evolution of environmental (e)DNA methods has resulted in knowledge gaps in smaller, yet critical details like proper use of negative controls to detect contamination. Detecting contamination is vital for confident use of eDNA results in decision-making. We conducted two literature reviews to summarize (a) the types of quality assurance measures taken to detect contamination of eDNA samples from aquatic environments, (b) the occurrence, frequency and attribution (i.e., putative sources) of unexpected amplification in these quality assurance samples, and (c) how results were interpreted when contamination occurred. In the first literature review, we reviewed 156 papers and found that 91% of targeted and 73% of metabarcoding eDNA studies reported inclusion of negative controls within their workflows. However, a large percentage of targeted (49%) and metabarcoding (80%) studies only reported negative controls for laboratory procedures, so results were potentially blind to field contamination. Many of the 156 studies did not provide critical methodological information and amplification results of negative controls. In our second literature review, we reviewed 695 papers and found that 30 targeted and 32 metabarcoding eDNA studies reported amplification of negative controls. This amplification occurred at similar proportions for field and lab workflow steps in targeted and metabarcoding studies. These studies most frequently used amplified negative controls to delimit a detection threshold above which is considered significant or provided rationale for why the unexpected amplifications did not affect results. In summary, we found that there has been minimal convergence over time on negative control implementation, methods, and interpretation, which suggests that increased rigor in these smaller, yet critical details remains an outstanding need. We conclude our review by highlighting several studies that have developed especially effective quality assurance, control and mitigation methods.
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26
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Andruszkiewicz EA, Yamahara KM, Closek CJ, Boehm AB. Quantitative PCR assays to detect whales, rockfish, and common murre environmental DNA in marine water samples of the Northeastern Pacific. PLoS One 2020; 15:e0242689. [PMID: 33264323 PMCID: PMC7710076 DOI: 10.1371/journal.pone.0242689] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2020] [Accepted: 11/06/2020] [Indexed: 12/02/2022] Open
Abstract
Monitoring aquatic species by identification of environmental DNA (eDNA) is becoming more common. To obtain quantitative eDNA datasets for individual species, organism-specific quantitative PCR (qPCR) assays are required. Here, we present detailed methodology of qPCR assay design and testing, including in silico, in vitro, and in vivo testing, and comment on the challenges associated with assay design and performance. We use the presented methodology to design assays for three important marine organisms common in the California Current Ecosystem (CCE): humpback whale (Megaptera novaeangliae), shortbelly rockfish (Sebastes jordani), and common murre (Uria aalge). All three assays have excellent sensitivity and high efficiencies ranging from 92% to 99%. However, specificities of the assays varied from species-specific in the case of common murre, genus-specific for the shortbelly rockfish assay, and broadly whale-specific for the humpback whale assay, which cross-amplified with other two other whale species, including one in a different family. All assays detected their associated targets in complex environmental water samples.
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Affiliation(s)
- Elizabeth A. Andruszkiewicz
- Department of Civil and Environmental Engineering, Stanford University, Stanford, California, United States of America
| | - Kevan M. Yamahara
- Monterey Bay Aquarium Research Institute, Moss Landing, California, United States of America
| | - Collin J. Closek
- Department of Civil and Environmental Engineering, Stanford University, Stanford, California, United States of America
- Center for Ocean Solutions, Stanford University, Stanford, California, United States of America
| | - Alexandria B. Boehm
- Department of Civil and Environmental Engineering, Stanford University, Stanford, California, United States of America
- * E-mail:
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27
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Darling JA, Jerde CL, Sepulveda AJ. What do you mean by false positive. ENVIRONMENTAL DNA (HOBOKEN, N.J.) 2020; 3:879-883. [PMID: 35330629 PMCID: PMC8941663 DOI: 10.1002/edn3.194] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/12/2023]
Abstract
Misunderstandings regarding the term "false positive" present a significant hurdle to broad adoption of eDNA monitoring methods. Here, we identify three challenges to clear communication of false-positive error between scientists, managers, and the public. The first arises from a failure to distinguish between false-positive eDNA detection at the sample level and false-positive inference of taxa presence at the site level. The second is based on the large proportion of false positives that may occur when true-positive detections are likely to be rare, even when rates of contamination or other error are low. And the third misunderstanding occurs when conventional species detection approaches, often based on direct capture, are used to confirm eDNA approaches without acknowledging or quantifying the conventional approach's detection probability. The solutions to these issues include careful and consistent communication of error definitions, managing expectations of error rates, and providing a balanced discussion not only of alternative sources of species DNA, but also of the detection limitations of conventional methods. We argue that the benefit of addressing these misunderstandings will be increased confidence in the utility of eDNA methods and, ultimately, improved resource management using eDNA approaches. The term false positive is often misused in eDNA research and natural resource management. There are issues of scale of inference, the base rate fallacy, and confirmation errors using conventional methods of detection. We offer a perspective to guide discussions of errors in species detection.
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Affiliation(s)
- John A. Darling
- Center for Environmental Measurement & Modeling, United States Environmental Protection Agency, Research Triangle Park, NC, USA
| | | | - Adam J. Sepulveda
- Northern Rocky Mountain Science Center, U.S. Geological Survey, Bozeman, MT, USA
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28
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Martel CM, Sutter M, Dorazio RM, Kinziger AP. Using environmental DNA and occupancy modelling to estimate rangewide metapopulation dynamics. Mol Ecol 2020; 30:3340-3354. [PMID: 33063415 DOI: 10.1111/mec.15693] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 09/26/2020] [Accepted: 10/07/2020] [Indexed: 11/29/2022]
Abstract
We demonstrate the power of combining two emergent tools for resolving rangewide metapopulation dynamics. First, we employed environmental DNA (eDNA) surveys to efficiently generate multiseason rangewide site occupancy histories. Second, we developed a novel dynamic, spatial multiscale occupancy model to estimate metapopulation dynamics. The model incorporates spatial relationships, explicitly accounts for non-detection bias and allows direct evaluation of the drivers of extinction and colonization. We applied these tools to examine metapopulation dynamics of endangered tidewater goby, a species endemic to California estuarine habitats. We analysed rangewide eDNA data from 190 geographically isolated sites (813 total water samples) surveyed from 2 years (2016 and 2017). Rangewide estimates of the proportion of sites that were occupied varied little between 2016 (0.52) and 2017 (0.51). However, there was evidence of extinction and colonization dynamics. The probability of extinction of an occupied site (0.106) and probability of colonization of an unoccupied site (0.085) were nearly equal. Stability in site occupancy proportions combined with nearly equal rates of extinction and colonization suggests a dynamic equilibrium between the 2 years surveyed. Assessment of covariate effects revealed that colonization probability increased as the number of occupied neighbouring sites increased and as distance between occupied sites decreased. We show that eDNA surveys can rapidly provide a snapshot of a species distribution over a broad geographic range and, when these surveys are paired with occupancy modelling, can uncover metapopulation dynamics and their drivers.
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Affiliation(s)
- Chad M Martel
- Department of Fisheries Biology, Humboldt State University, Arcata, CA, USA
| | - Michael Sutter
- Department of Fisheries Biology, Humboldt State University, Arcata, CA, USA
| | | | - Andrew P Kinziger
- Department of Fisheries Biology, Humboldt State University, Arcata, CA, USA
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29
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McColl-Gausden EF, Weeks AR, Coleman RA, Robinson KL, Song S, Raadik TA, Tingley R. Multispecies models reveal that eDNA metabarcoding is more sensitive than backpack electrofishing for conducting fish surveys in freshwater streams. Mol Ecol 2020; 30:3111-3126. [PMID: 32966639 DOI: 10.1111/mec.15644] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2020] [Revised: 08/20/2020] [Accepted: 08/26/2020] [Indexed: 12/26/2022]
Abstract
Environmental DNA (eDNA) sampling can provide accurate, cost-effective, landscape-level data on species distributions. Previous studies have compared the sensitivity of eDNA sampling to traditional sampling methods for single species, but similar comparative studies on multispecies eDNA metabarcoding are rare. Using hierarchical site occupancy detection models, we examined whether key choices associated with eDNA metabarcoding (primer selection, low-abundance read filtering and the number of positive water samples used to classify a species as present at a site) affect the sensitivity of metabarcoding, relative to backpack electrofishing for fish in freshwater streams. Under all scenarios (teleostei and vertebrate primers; 0%, 0.1% and 1% read filtering thresholds; one or two positive samples required to classify species as present), we found that eDNA metabarcoding is, on average, more sensitive than electrofishing. Combining vertebrate and teleostei markers resulted in higher detection probabilities relative to the use of either marker in isolation. Increasing the threshold used to filter low-abundance reads decreased species detection probabilities but did not change our overall finding that eDNA metabarcoding was more sensitive than electrofishing. Using a threshold of two positive water samples (out of five) to classify a species as present typically had negligible effects on detection probabilities compared to using one positive water sample. Our findings demonstrate that eDNA metabarcoding is generally more sensitive than electrofishing for conducting fish surveys in freshwater streams, and that this outcome is not sensitive to methodological decisions associated with metabarcoding.
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Affiliation(s)
| | - Andrew R Weeks
- School of BioSciences, University of Melbourne, Parkville, VIC, Australia.,cesar Pty Ltd, Parkville, VIC, Australia
| | | | - Katie L Robinson
- School of BioSciences, University of Melbourne, Parkville, VIC, Australia
| | - Sue Song
- cesar Pty Ltd, Parkville, VIC, Australia
| | - Tarmo A Raadik
- Department of Environment, Land, Water and Planning, Arthur Rylah Institute for Environmental Research, Heidelberg, VIC, Australia
| | - Reid Tingley
- School of Biological Sciences, Monash University, Clayton, VIC, Australia
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30
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Saine S, Ovaskainen O, Somervuo P, Abrego N. Data collected by fruit body‐ and DNA‐based survey methods yield consistent species‐to‐species association networks in wood‐inhabiting fungal communities. OIKOS 2020. [DOI: 10.1111/oik.07502] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Sonja Saine
- Dept of Agricultural Sciences, Univ. of Helsinki Finland
| | - Otso Ovaskainen
- Organismal and Evolutionary Biology Research Programme, Univ. of Helsinki Finland
| | - Panu Somervuo
- Organismal and Evolutionary Biology Research Programme, Univ. of Helsinki Finland
| | - Nerea Abrego
- Dept of Agricultural Sciences, Univ. of Helsinki Finland
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31
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Holderegger R, Schmidt BR, Grünig C, Meier R, Csencsics D, Gassner M, Rellstab C, Stapfer A. Ready-to-use workflows for the implementation of genetic tools in conservation management. CONSERV GENET RESOUR 2020. [DOI: 10.1007/s12686-020-01165-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
AbstractWe present a conservation genetics tool kit, which offers two ready-to-use workflows for the routine application of genetic methods in conservation management. The workflows were optimized for work load and costs and are accompanied by an easy-to-read and richly illustrated manual with guidelines regarding sampling design, sampling of genetic material, necessary permits, laboratory methods, statistical analyses and documentation of results in a practice-oriented way. The manual also provides a detailed interpretation help for the implementation of the results in conservation management. One workflow deals with the identification of pond-breeding amphibians based on metabarcoding and environmental DNA (eDNA) from water samples. This workflow also discriminates the morphologically similar water frogs (Pelophylax sp.) and other closely related species (e.g. Triturus cristatus and T. carnifex). The second workflow studies connectivity among populations using microsatellite markers. Its statistical analyses encompass the detection of genetic groups and historical, recent and current dispersal and gene flow. Using the two workflows does not involve academic research institutes; they can be applied by environmental consultancies, laboratories from the private sector, governmental agencies or non-governmental organisations. These and additional conservation genetic workflows will hopefully foster the routine use of genetic methods in conservation management.
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32
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Mathieu C, Hermans SM, Lear G, Buckley TR, Lee KC, Buckley HL. A Systematic Review of Sources of Variability and Uncertainty in eDNA Data for Environmental Monitoring. Front Ecol Evol 2020. [DOI: 10.3389/fevo.2020.00135] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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33
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Jacobs-Palmer E, Gallego R, Ramón-Laca A, Kunselman E, Cribari K, Horwith M, Kelly RP. A halo of reduced dinoflagellate abundances in and around eelgrass beds. PeerJ 2020; 8:e8869. [PMID: 32292651 PMCID: PMC7147434 DOI: 10.7717/peerj.8869] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2019] [Accepted: 03/09/2020] [Indexed: 11/20/2022] Open
Abstract
Seagrass beds provide a variety of ecosystem services, both within and outside the bounds of the habitat itself. Here we use environmental DNA (eDNA) amplicons to analyze a broad cross-section of taxa from ecological communities in and immediately surrounding eelgrass (Zostera marina). Sampling seawater along transects extending alongshore outward from eelgrass beds, we demonstrate that eDNA provides meter-scale resolution of communities in the field. We evaluate eDNA abundance indices for 13 major phylogenetic groups of marine and estuarine taxa along these transects, finding highly local changes linked with proximity to Z. marina for a diverse group of dinoflagellates, and for no other group of taxa. Eelgrass habitat is consistently associated with dramatic reductions in dinoflagellate abundance both within the contiguous beds and for at least 15 m outside, relative to nearby sites without eelgrass. These results are consistent with the hypothesis that eelgrass-associated communities have allelopathic effects on dinoflagellates, and that these effects can extend in a halo beyond the bounds of the contiguous beds. Because many dinoflagellates are capable of forming harmful algal blooms (HABs) toxic to humans and other animal species, the apparent salutary effect of eelgrass habitat on neighboring waters has important implications for public health as well as shellfish aquaculture and harvesting.
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Affiliation(s)
- Emily Jacobs-Palmer
- School of Marine and Environmental Affairs, University of Washington, Seattle, WA, USA
| | - Ramón Gallego
- School of Marine and Environmental Affairs, University of Washington, Seattle, WA, USA.,Northwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, WA, USA.,NRC Research Associateship Program, The National Academies of Sciences, Engineering, and Medicine, Washington, DC, USA
| | - Ana Ramón-Laca
- Northwest Fisheries Science Center, National Oceanic and Atmospheric Administration, Seattle, WA, USA.,Ocean Associates, Inc., Arlington, VA, USA
| | - Emily Kunselman
- Scripps Institution of Oceanography, University of California, San Diego, La Jolla, CA, USA.,Washington State Department of Natural Resources, Olympia, WA, USA
| | - Kelly Cribari
- School of Marine and Environmental Affairs, University of Washington, Seattle, WA, USA
| | - Micah Horwith
- Washington State Department of Natural Resources, Olympia, WA, USA
| | - Ryan P Kelly
- School of Marine and Environmental Affairs, University of Washington, Seattle, WA, USA
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34
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Sales NG, McKenzie MB, Drake J, Harper LR, Browett SS, Coscia I, Wangensteen OS, Baillie C, Bryce E, Dawson DA, Ochu E, Hänfling B, Lawson Handley L, Mariani S, Lambin X, Sutherland C, McDevitt AD. Fishing for mammals: Landscape‐level monitoring of terrestrial and semi‐aquatic communities using eDNA from riverine systems. J Appl Ecol 2020. [DOI: 10.1111/1365-2664.13592] [Citation(s) in RCA: 53] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Affiliation(s)
- Naiara Guimarães Sales
- Environment and Ecosystem Research Centre School of Science, Engineering and Environment University of Salford Salford UK
| | - Maisie B. McKenzie
- Environment and Ecosystem Research Centre School of Science, Engineering and Environment University of Salford Salford UK
| | - Joseph Drake
- Department of Environmental Conservation University of Massachusetts‐Amherst Amherst USA
| | - Lynsey R. Harper
- Department of Biological and Marine Sciences University of Hull Kingston upon Hull UK
| | - Samuel S. Browett
- Environment and Ecosystem Research Centre School of Science, Engineering and Environment University of Salford Salford UK
| | - Ilaria Coscia
- Environment and Ecosystem Research Centre School of Science, Engineering and Environment University of Salford Salford UK
| | | | - Charles Baillie
- Environment and Ecosystem Research Centre School of Science, Engineering and Environment University of Salford Salford UK
| | - Emma Bryce
- School of Biological Sciences University of Aberdeen Aberdeen UK
| | - Deborah A. Dawson
- Department of Animal and Plant Sciences University of Sheffield Sheffield UK
| | - Erinma Ochu
- Environment and Ecosystem Research Centre School of Science, Engineering and Environment University of Salford Salford UK
| | - Bernd Hänfling
- Department of Biological and Marine Sciences University of Hull Kingston upon Hull UK
| | - Lori Lawson Handley
- Department of Biological and Marine Sciences University of Hull Kingston upon Hull UK
| | - Stefano Mariani
- Environment and Ecosystem Research Centre School of Science, Engineering and Environment University of Salford Salford UK
- School of Natural Sciences and Psychology Liverpool John Moores University Liverpool UK
| | - Xavier Lambin
- School of Biological Sciences University of Aberdeen Aberdeen UK
| | - Christopher Sutherland
- Department of Environmental Conservation University of Massachusetts‐Amherst Amherst USA
- Centre for Research into Ecological and Environmental Modelling University of St Andrews St Andrews UK
| | - Allan D. McDevitt
- Environment and Ecosystem Research Centre School of Science, Engineering and Environment University of Salford Salford UK
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35
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McClenaghan B, Compson ZG, Hajibabaei M. Validating metabarcoding-based biodiversity assessments with multi-species occupancy models: A case study using coastal marine eDNA. PLoS One 2020; 15:e0224119. [PMID: 32191699 PMCID: PMC7082047 DOI: 10.1371/journal.pone.0224119] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Accepted: 02/16/2020] [Indexed: 01/19/2023] Open
Abstract
Environmental DNA (eDNA) metabarcoding is an increasingly popular method for rapid biodiversity assessment. As with any ecological survey, false negatives can arise during sampling and, if unaccounted for, lead to biased results and potentially misdiagnosed environmental assessments. We developed a multi-scale, multi-species occupancy model for the analysis of community biodiversity data resulting from eDNA metabarcoding; this model accounts for imperfect detection and additional sources of environmental and experimental variation. We present methods for model assessment and model comparison and demonstrate how these tools improve the inferential power of eDNA metabarcoding data using a case study in a coastal, marine environment. Using occupancy models to account for factors often overlooked in the analysis of eDNA metabarcoding data will dramatically improve ecological inference, sampling design, and methodologies, empowering practitioners with an approach to wield the high-resolution biodiversity data of next-generation sequencing platforms.
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Affiliation(s)
- Beverly McClenaghan
- Centre for Environmental Genomics Applications, eDNAtec Inc., St. John’s, NL, Canada
| | - Zacchaeus G. Compson
- Centre for Environmental Genomics Applications, eDNAtec Inc., St. John’s, NL, Canada
| | - Mehrdad Hajibabaei
- Centre for Environmental Genomics Applications, eDNAtec Inc., St. John’s, NL, Canada
- Department of Integrative Biology, University of Guelph, Guelph, ON, Canada
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
- * E-mail:
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36
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Djurhuus A, Closek CJ, Kelly RP, Pitz KJ, Michisaki RP, Starks HA, Walz KR, Andruszkiewicz EA, Olesin E, Hubbard K, Montes E, Otis D, Muller-Karger FE, Chavez FP, Boehm AB, Breitbart M. Environmental DNA reveals seasonal shifts and potential interactions in a marine community. Nat Commun 2020; 11:254. [PMID: 31937756 PMCID: PMC6959347 DOI: 10.1038/s41467-019-14105-1] [Citation(s) in RCA: 91] [Impact Index Per Article: 22.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 12/12/2019] [Indexed: 02/02/2023] Open
Abstract
Environmental DNA (eDNA) analysis allows the simultaneous examination of organisms across multiple trophic levels and domains of life, providing critical information about the complex biotic interactions related to ecosystem change. Here we used multilocus amplicon sequencing of eDNA to survey biodiversity from an eighteen-month (2015–2016) time-series of seawater samples from Monterey Bay, California. The resulting dataset encompasses 663 taxonomic groups (at Family or higher taxonomic rank) ranging from microorganisms to mammals. We inferred changes in the composition of communities, revealing putative interactions among taxa and identifying correlations between these communities and environmental properties over time. Community network analysis provided evidence of expected predator-prey relationships, trophic linkages, and seasonal shifts across all domains of life. We conclude that eDNA-based analyses can provide detailed information about marine ecosystem dynamics and identify sensitive biological indicators that can suggest ecosystem changes and inform conservation strategies. Increasingly, eDNA is being used to infer ecological interactions. Here the authors sample eDNA over 18 months in a marine environment and use co-occurrence network analyses to infer potential interactions among organisms from microbes to mammals, testing how they change over time in response to oceanographic factors.
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Affiliation(s)
- Anni Djurhuus
- University of South Florida, College of Marine Science, 140 7th Avenue South, St. Petersburg, FL, 33701, USA.
| | - Collin J Closek
- Stanford Center for Ocean Solutions, Stanford University, 473 Via Ortega, Stanford, CA, 94305, USA. .,Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, CA, 94305, USA.
| | - Ryan P Kelly
- University of Washington, School of Marine and Environmental Affairs, 3707 Brooklyn Ave, Seattle, WA, 98105, USA
| | - Kathleen J Pitz
- Monterey Bay Aquarium Research Institute, 7700 Sandholdt Road, Moss Landing, CA, 95039, USA
| | - Reiko P Michisaki
- Monterey Bay Aquarium Research Institute, 7700 Sandholdt Road, Moss Landing, CA, 95039, USA
| | - Hilary A Starks
- Stanford Center for Ocean Solutions, Stanford University, 473 Via Ortega, Stanford, CA, 94305, USA.,Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, CA, 94305, USA
| | - Kristine R Walz
- Monterey Bay Aquarium Research Institute, 7700 Sandholdt Road, Moss Landing, CA, 95039, USA
| | - Elizabeth A Andruszkiewicz
- Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, CA, 94305, USA
| | - Emily Olesin
- Florida Fish and Wildlife Research Conservation-Fish and Wildlife Research Institute, 100 8th Avenue SE, St. Petersburg, FL, 33701, USA
| | - Katherine Hubbard
- Florida Fish and Wildlife Research Conservation-Fish and Wildlife Research Institute, 100 8th Avenue SE, St. Petersburg, FL, 33701, USA
| | - Enrique Montes
- University of South Florida, College of Marine Science, 140 7th Avenue South, St. Petersburg, FL, 33701, USA
| | - Daniel Otis
- University of South Florida, College of Marine Science, 140 7th Avenue South, St. Petersburg, FL, 33701, USA
| | - Frank E Muller-Karger
- University of South Florida, College of Marine Science, 140 7th Avenue South, St. Petersburg, FL, 33701, USA
| | - Francisco P Chavez
- Monterey Bay Aquarium Research Institute, 7700 Sandholdt Road, Moss Landing, CA, 95039, USA
| | - Alexandria B Boehm
- Department of Civil and Environmental Engineering, Stanford University, 473 Via Ortega, Stanford, CA, 94305, USA
| | - Mya Breitbart
- University of South Florida, College of Marine Science, 140 7th Avenue South, St. Petersburg, FL, 33701, USA.
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37
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Gamble A, Garnier R, Chambert T, Gimenez O, Boulinier T. Next-generation serology: integrating cross-sectional and capture-recapture approaches to infer disease dynamics. Ecology 2020; 101:e02923. [PMID: 31655002 DOI: 10.1002/ecy.2923] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2018] [Revised: 09/18/2019] [Accepted: 09/26/2019] [Indexed: 01/27/2023]
Abstract
Two approaches have been classically used in disease ecology to estimate epidemiological parameters from field studies: cross-sectional sampling from unmarked individuals and longitudinal capture-recapture setups, which generally involve more limited numbers of marked individuals due to cost and logistical constraints. Although the benefits of longitudinal setups are increasingly acknowledged in the disease ecology community, cross-sectional data remain largely overrepresented in the literature, probably because of the inherent costs of longitudinal surveys. In this context, we used simulated data to compare the performances of cross-sectional and longitudinal designs to estimate the force of infection (i.e., the rate at which susceptible individuals become infected). Then, inspired from recent method developments in quantitative ecology, we explore the benefits of integrating both cross-sectional (seroprevalences) and longitudinal (individuals histories) data sets. In doing so, we investigate the effects of host species life history, antibody persistence, and degree of a priori knowledge and uncertainty on demographic and epidemiological parameters, as those are expected to affect in different ways the level of inference possible from the data. Our results highlight how those elements are important to consider in determining optimal sampling designs. In the case of long-lived species exposed to infectious agents resulting in persistent antibody responses, integrated designs are especially valuable as they benefit from the performances of longitudinal designs even with relatively small longitudinal sample sizes. As an illustration, we apply this approach to a combination of empirical and simulated data inspired from a case of bats exposed to a rabies virus. Overall, this work highlights that serology field studies could greatly benefit from the opportunity of integrating cross-sectional and longitudinal designs.
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Affiliation(s)
- Amandine Gamble
- CEFE, CNRS, University of Montpellier, EPHE, University Paul Valéry Montpellier 3, IRD, Montpellier, France.,Department of Ecology and Evolutionary Biology, University of California, 610 Charles E. Young Dr. South, Los Angeles, 90095-7239, USA
| | - Romain Garnier
- Department of Biology, Georgetown University, 37th and O Streets, Washington, 20057, USA
| | - Thierry Chambert
- CEFE, CNRS, University of Montpellier, EPHE, University Paul Valéry Montpellier 3, IRD, Montpellier, France
| | - Olivier Gimenez
- CEFE, CNRS, University of Montpellier, EPHE, University Paul Valéry Montpellier 3, IRD, Montpellier, France
| | - Thierry Boulinier
- CEFE, CNRS, University of Montpellier, EPHE, University Paul Valéry Montpellier 3, IRD, Montpellier, France
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38
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Trujillo-González A, Becker JA, Huerlimann R, Saunders RJ, Hutson KS. Can environmental DNA be used for aquatic biosecurity in the aquarium fish trade? Biol Invasions 2019. [DOI: 10.1007/s10530-019-02152-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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39
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Shum P, Barney BT, O'Leary JK, Palumbi SR. Cobble community DNA as a tool to monitor patterns of biodiversity within kelp forest ecosystems. Mol Ecol Resour 2019; 19:1470-1485. [PMID: 31436907 DOI: 10.1111/1755-0998.13067] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2018] [Revised: 07/05/2019] [Accepted: 07/17/2019] [Indexed: 01/04/2023]
Abstract
Kelp forest ecosystems dominate 150,000 km of global temperate coastline, rivalling the coastal occurrence of coral reefs. Despite the astounding biological diversity and productive ecological communities associated with kelp forests, patterns of species richness and composition are difficult to monitor and compare. Crustose coralline algae are a critically important substrate for propagule settlement for a range of kelp forest species. Coralline-covered cobbles are home to hundreds of species of benthic animals and algae and form a replicable unit for ecological assays. Here, we use DNA metabarcoding of bulk DNA extracts sampled from cobbles to explore patterns of species diversity in kelp forests of the central California coast. The data from 97 cobbles within kelp forest ecosystems at three sites in Central California show the presence of 752 molecular operational taxonomic units (MOTUs) and 53 MOTUs assigned up to the species level with >95% similarity to current databases. We are able to detect spatial patterns of important management targets such as abalone recruits, and localized abundance of sea stars in 2012. Comparison of classic ecological surveys of these sites reveals large differences in species targets for these two approaches. In order to make such comparisons more quantitative, we use Presence/Absence Metabarcoding, using the fraction of replicate cobbles showing a species as a measure of its local abundance. This approach provides a fast and repeatable survey method that can be applied for biodiversity assessments across systems to shed light on the impact of different ecological disturbances and the role played by marine protected areas.
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Affiliation(s)
- Peter Shum
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA
| | - Bryan T Barney
- Anatomy, Physiology, and Cell Biology, School of Veterinary Medicine, University of California, Davis, Davis, CA, USA
| | - Jennifer K O'Leary
- The Nature Conservancy, Tanzania Marine Parks Unit, Kenya Wildlife Service, & Seychelles National Parks Authority, Mombasa, Kenya
- California Sea Grant, 1 Grand Ave, San Luis Obispo, USA
- California Polytechnic State University, 1 Frand Ave, San Luis Obispo, USA
| | - Stephen R Palumbi
- Hopkins Marine Station, Department of Biology, Stanford University, Pacific Grove, CA, USA
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40
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Piper AM, Batovska J, Cogan NOI, Weiss J, Cunningham JP, Rodoni BC, Blacket MJ. Prospects and challenges of implementing DNA metabarcoding for high-throughput insect surveillance. Gigascience 2019; 8:giz092. [PMID: 31363753 PMCID: PMC6667344 DOI: 10.1093/gigascience/giz092] [Citation(s) in RCA: 82] [Impact Index Per Article: 16.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2019] [Revised: 06/25/2019] [Accepted: 07/09/2019] [Indexed: 12/21/2022] Open
Abstract
Trap-based surveillance strategies are widely used for monitoring of invasive insect species, aiming to detect newly arrived exotic taxa as well as track the population levels of established or endemic pests. Where these surveillance traps have low specificity and capture non-target endemic species in excess of the target pests, the need for extensive specimen sorting and identification creates a major diagnostic bottleneck. While the recent development of standardized molecular diagnostics has partly alleviated this requirement, the single specimen per reaction nature of these methods does not readily scale to the sheer number of insects trapped in surveillance programmes. Consequently, target lists are often restricted to a few high-priority pests, allowing unanticipated species to avoid detection and potentially establish populations. DNA metabarcoding has recently emerged as a method for conducting simultaneous, multi-species identification of complex mixed communities and may lend itself ideally to rapid diagnostics of bulk insect trap samples. Moreover, the high-throughput nature of recent sequencing platforms could enable the multiplexing of hundreds of diverse trap samples on a single flow cell, thereby providing the means to dramatically scale up insect surveillance in terms of both the quantity of traps that can be processed concurrently and number of pest species that can be targeted. In this review of the metabarcoding literature, we explore how DNA metabarcoding could be tailored to the detection of invasive insects in a surveillance context and highlight the unique technical and regulatory challenges that must be considered when implementing high-throughput sequencing technologies into sensitive diagnostic applications.
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Affiliation(s)
- Alexander M Piper
- Agriculture Victoria Research, AgriBio Centre, 5 Ring Road, Bundoora 3083, VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora 3083, VIC, Australia
| | - Jana Batovska
- Agriculture Victoria Research, AgriBio Centre, 5 Ring Road, Bundoora 3083, VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora 3083, VIC, Australia
| | - Noel O I Cogan
- Agriculture Victoria Research, AgriBio Centre, 5 Ring Road, Bundoora 3083, VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora 3083, VIC, Australia
| | - John Weiss
- Agriculture Victoria Research, AgriBio Centre, 5 Ring Road, Bundoora 3083, VIC, Australia
| | - John Paul Cunningham
- Agriculture Victoria Research, AgriBio Centre, 5 Ring Road, Bundoora 3083, VIC, Australia
| | - Brendan C Rodoni
- Agriculture Victoria Research, AgriBio Centre, 5 Ring Road, Bundoora 3083, VIC, Australia
- School of Applied Systems Biology, La Trobe University, Bundoora 3083, VIC, Australia
| | - Mark J Blacket
- Agriculture Victoria Research, AgriBio Centre, 5 Ring Road, Bundoora 3083, VIC, Australia
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Dufresnes C, Déjean T, Zumbach S, Schmidt BR, Fumagalli L, Ramseier P, Dubey S. Early detection and spatial monitoring of an emerging biological invasion by population genetics and environmental DNA metabarcoding. CONSERVATION SCIENCE AND PRACTICE 2019. [DOI: 10.1111/csp2.86] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Affiliation(s)
- Christophe Dufresnes
- Hintermann & Weber SA Montreux Switzerland
- Laboratory for Conservation Biology, Department of Ecology and EvolutionUniversity of Lausanne Lausanne Switzerland
| | | | | | - Benedikt R. Schmidt
- Info fauna—karch, UNiMail Neuchâtel Switzerland
- Institut für Evolutionsbiologie und UmweltwissenschaftenUniversität Zürich Zürich Switzerland
| | - Luca Fumagalli
- Laboratory for Conservation Biology, Department of Ecology and EvolutionUniversity of Lausanne Lausanne Switzerland
| | | | - Sylvain Dubey
- Hintermann & Weber SA Montreux Switzerland
- Laboratory for Conservation Biology, Department of Ecology and EvolutionUniversity of Lausanne Lausanne Switzerland
- Agrosustain SA Nyon Switzerland
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Rose JP, Wademan C, Weir S, Wood JS, Todd BD. Traditional trapping methods outperform eDNA sampling for introduced semi-aquatic snakes. PLoS One 2019; 14:e0219244. [PMID: 31265475 PMCID: PMC6605664 DOI: 10.1371/journal.pone.0219244] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2018] [Accepted: 06/13/2019] [Indexed: 01/17/2023] Open
Abstract
Given limited resources for managing invasive species, traditional survey methods may not be feasible to implement at a regional scale. Environmental DNA (eDNA) sampling has proven to be an effective method for detecting some invasive species, but comparisons between the detection probability of eDNA and traditional survey methods using modern occupancy modeling methods are rare. We developed a qPCR assay to detect two species of watersnake (Nerodia fasciata and Nerodia sipedon) introduced to California, USA, and we compared the efficacy of eDNA and aquatic trapping. We tested 3–9 water samples each from 30 sites near the known range of N. fasciata, and 61 sites near the known range of N. sipedon. We also deployed aquatic funnel traps at a subset of sites for each species. We detected N. fasciata eDNA in three of nine water samples from just one site, but captured N. fasciata in traps at three of ten sites. We detected N. sipedon eDNA in five of six water samples from one site, which was also the only site of nine at which this species was captured in traps. Traditional trapping surveys had a higher probability of detecting watersnakes than eDNA surveys, and both survey methods had higher detection probability for N. sipedon than N. fasciata. Occupancy models that integrated both trapping and eDNA surveys estimated that 5 sites (95% Credible Interval: 4–10) of 91 were occupied by watersnakes (both species combined), although snakes were only detected at four sites (three for N. fasciata, one for N. sipedon). Our study shows that despite the many successes of eDNA surveys, traditional sampling methods can have higher detection probability for some species. We recommend those tasked with managing species invasions explicitly compare eDNA and traditional survey methods in an occupancy framework to inform their choice of the best method for detecting nascent populations.
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Affiliation(s)
- Jonathan P. Rose
- Department of Wildlife, Fish & Conservation Biology, University of California, Davis, Davis, California, United States of America
- * E-mail:
| | - Cara Wademan
- Department of Medicine and Epidemiology, University of California, Davis, Davis, California, United States of America
| | - Suzanne Weir
- Pisces Molecular, LLC, Boulder, Colorado, United States of America
| | - John S. Wood
- Pisces Molecular, LLC, Boulder, Colorado, United States of America
| | - Brian D. Todd
- Department of Wildlife, Fish & Conservation Biology, University of California, Davis, Davis, California, United States of America
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43
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Beyer JE, Zamor RM, Hambright KD. Detection limits affect the predictability of the presence of an invasive harmful alga across geographic space. Biol Invasions 2019. [DOI: 10.1007/s10530-019-01977-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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44
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Cruickshank SS, Bühler C, Schmidt BR. Quantifying data quality in a citizen science monitoring program: False negatives, false positives and occupancy trends. CONSERVATION SCIENCE AND PRACTICE 2019. [DOI: 10.1111/csp2.54] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Affiliation(s)
- Sam S. Cruickshank
- Department of Evolutionary Biology and Environmental StudiesUniversity of Zurich Zürich Switzerland
| | | | - Benedikt R. Schmidt
- Department of Evolutionary Biology and Environmental StudiesUniversity of Zurich Zürich Switzerland
- info fauna karch, UniMail Neuchâtel Switzerland
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45
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Gueuning M, Ganser D, Blaser S, Albrecht M, Knop E, Praz C, Frey JE. Evaluating next-generation sequencing (NGS) methods for routine monitoring of wild bees: Metabarcoding, mitogenomics or NGS barcoding. Mol Ecol Resour 2019; 19:847-862. [PMID: 30912868 PMCID: PMC6850489 DOI: 10.1111/1755-0998.13013] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2018] [Accepted: 03/15/2019] [Indexed: 12/26/2022]
Abstract
Implementing cost‐effective monitoring programs for wild bees remains challenging due to the high costs of sampling and specimen identification. To reduce costs, next‐generation sequencing (NGS)‐based methods have lately been suggested as alternatives to morphology‐based identifications. To provide a comprehensive presentation of the advantages and weaknesses of different NGS‐based identification methods, we assessed three of the most promising ones, namely metabarcoding, mitogenomics and NGS barcoding. Using a regular monitoring data set (723 specimens identified using morphology), we found that NGS barcoding performed best for both species presence/absence and abundance data, producing only few false positives (3.4%) and no false negatives. In contrast, the proportion of false positives and false negatives was higher using metabarcoding and mitogenomics. Although strong correlations were found between biomass and read numbers, abundance estimates significantly skewed the communities' composition in these two techniques. NGS barcoding recovered the same ecological patterns as morphology. Ecological conclusions based on metabarcoding and mitogenomics were similar to those based on morphology when using presence/absence data, but different when using abundance data. In terms of workload and cost, we show that metabarcoding and NGS barcoding can compete with morphology, but not mitogenomics which was consistently more expensive. Based on these results, we advocate that NGS barcoding is currently the seemliest NGS method for monitoring of wild bees. Furthermore, this method has the advantage of potentially linking DNA sequences with preserved voucher specimens, which enable morphological re‐examination and will thus produce verifiable records which can be fed into faunistic databases.
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Affiliation(s)
- Morgan Gueuning
- Research Group Molecular Diagnostics, Genomics and Bioinformatics, Agroscope, Wädenswil, Switzerland.,Institute of Biology, University of Neuchatel, Neuchatel, Switzerland
| | - Dominik Ganser
- Institute of Ecology and Evolution, University of Bern, Bern, Switzerland.,Agroecology and Environment, Agroscope, Zürich, Switzerland
| | - Simon Blaser
- Research Group Molecular Diagnostics, Genomics and Bioinformatics, Agroscope, Wädenswil, Switzerland.,Department of Epidemiology and Public Health, Swiss Tropical and Public Health Institute, University of Basel, Basel, Switzerland
| | | | - Eva Knop
- Institute of Ecology and Evolution, University of Bern, Bern, Switzerland
| | - Christophe Praz
- Institute of Biology, University of Neuchatel, Neuchatel, Switzerland
| | - Juerg E Frey
- Research Group Molecular Diagnostics, Genomics and Bioinformatics, Agroscope, Wädenswil, Switzerland
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Axtner J, Crampton-Platt A, Hörig LA, Mohamed A, Xu CCY, Yu DW, Wilting A. An efficient and robust laboratory workflow and tetrapod database for larger scale environmental DNA studies. Gigascience 2019; 8:giz029. [PMID: 30997489 PMCID: PMC6461710 DOI: 10.1093/gigascience/giz029] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/13/2018] [Revised: 10/12/2018] [Accepted: 03/07/2019] [Indexed: 01/29/2023] Open
Abstract
BACKGROUND The use of environmental DNA for species detection via metabarcoding is growing rapidly. We present a co-designed lab workflow and bioinformatic pipeline to mitigate the 2 most important risks of environmental DNA use: sample contamination and taxonomic misassignment. These risks arise from the need for polymerase chain reaction (PCR) amplification to detect the trace amounts of DNA combined with the necessity of using short target regions due to DNA degradation. FINDINGS Our high-throughput workflow minimizes these risks via a 4-step strategy: (i) technical replication with 2 PCR replicates and 2 extraction replicates; (ii) using multi-markers (12S,16S,CytB); (iii) a "twin-tagging," 2-step PCR protocol; and (iv) use of the probabilistic taxonomic assignment method PROTAX, which can account for incomplete reference databases. Because annotation errors in the reference sequences can result in taxonomic misassignment, we supply a protocol for curating sequence datasets. For some taxonomic groups and some markers, curation resulted in >50% of sequences being deleted from public reference databases, owing to (i) limited overlap between our target amplicon and reference sequences, (ii) mislabelling of reference sequences, and (iii) redundancy. Finally, we provide a bioinformatic pipeline to process amplicons and conduct PROTAX assignment and tested it on an invertebrate-derived DNA dataset from 1,532 leeches from Sabah, Malaysia. Twin-tagging allowed us to detect and exclude sequences with non-matching tags. The smallest DNA fragment (16S) amplified most frequently for all samples but was less powerful for discriminating at species rank. Using a stringent and lax acceptance criterion we found 162 (stringent) and 190 (lax) vertebrate detections of 95 (stringent) and 109 (lax) leech samples. CONCLUSIONS Our metabarcoding workflow should help research groups increase the robustness of their results and therefore facilitate wider use of environmental and invertebrate-derived DNA, which is turning into a valuable source of ecological and conservation information on tetrapods.
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Affiliation(s)
- Jan Axtner
- Leibniz Institute for Zoo and Wildlife Research, Department of Ecological Dynamics, Alfred-Kowalke-Str. 17, 10315 Berlin, Germany
| | - Alex Crampton-Platt
- Leibniz Institute for Zoo and Wildlife Research, Department of Ecological Dynamics, Alfred-Kowalke-Str. 17, 10315 Berlin, Germany
| | - Lisa A Hörig
- Leibniz Institute for Zoo and Wildlife Research, Department of Ecological Dynamics, Alfred-Kowalke-Str. 17, 10315 Berlin, Germany
| | - Azlan Mohamed
- Leibniz Institute for Zoo and Wildlife Research, Department of Ecological Dynamics, Alfred-Kowalke-Str. 17, 10315 Berlin, Germany
| | - Charles C Y Xu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 32 Jiaochang East Rd, Kunming, Yunnan 650223, China
- Groningen Institute for Evolutionary Life Sciences, University of Groningen, P.O. Box 11103, 9700 CC Groningen, The Netherlands
- Redpath Museum and Department of Biology, McGill University 859 Sherbooke Street West, Montreal, PQ, Canada H3A 2K6
| | - Douglas W Yu
- State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences, 32 Jiaochang East Rd, Kunming, Yunnan 650223, China
- School of Biological Sciences, University of East Anglia, Norwich Research Park, Norwich, Norfolk NR47TJ, UK
| | - Andreas Wilting
- Leibniz Institute for Zoo and Wildlife Research, Department of Ecological Dynamics, Alfred-Kowalke-Str. 17, 10315 Berlin, Germany
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A Brief Review of Non-Avian Reptile Environmental DNA (eDNA), with a Case Study of Painted Turtle (Chrysemys picta) eDNA Under Field Conditions. DIVERSITY-BASEL 2019. [DOI: 10.3390/d11040050] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Environmental DNA (eDNA) is an increasingly used non-invasive molecular tool for detecting species presence and monitoring populations. In this article, we review the current state of non-avian reptile eDNA work in aquatic systems, and present a field experiment on detecting the presence of painted turtle (Chrysemys picta) eDNA. Thus far, turtle and snake eDNA studies have shown mixed results in detecting the presence of these animals under field conditions. However, some instances of low detection rates and non-detection occur for these non-avian reptiles, especially for squamates. We explored non-avian reptile eDNA quantification by sampling four lentic ponds with different densities (0 kg/ha, 6 kg/ha, 9 kg/ha, and 13 kg/ha) of painted turtles over three months to detect differences in eDNA using a qPCR assay amplifying the COI gene of the mtDNA genome. Only one sample of the highest-density pond amplified eDNA for a positive detection. Yet, estimates of eDNA concentration from pond eDNA were rank-order correlated with turtle density. We present the “shedding hypothesis”—the possibility that animals with hard, keratinized integument do not shed as much DNA as mucus-covered organisms—as a potential challenge for eDNA studies. Despite challenges with eDNA inhibition and availability in water samples, we remain hopeful that eDNA can be used to detect freshwater turtles in the field. We provide key recommendations for biologists wishing to use eDNA methods for detecting non-avian reptiles.
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48
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Parasite detection in the ornamental fish trade using environmental DNA. Sci Rep 2019; 9:5173. [PMID: 30914693 PMCID: PMC6435732 DOI: 10.1038/s41598-019-41517-2] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2018] [Accepted: 03/08/2019] [Indexed: 11/13/2022] Open
Abstract
Effective border control relies on stringent biosecurity protocols to detect and prevent introductions of exotic pests and diseases. Detection of pathogens and parasites in the live ornamental fish trade using environmental DNA (eDNA) techniques has the potential to improve current biosecurity practices. We examined water samples from 11 target consignments (cyprinids susceptible to Dactylogyrus spp. infections) and seven non-target fish consignments (non-cyprinids, not susceptible to Dactylogyrus spp. infections) imported from Southeast Asia to Australia for the presence of eDNA from five Dactylogyrus species (Monogenea: Dactylogyridae). A four-step predictive framework was used to predict putative positive and putative negative detections from quantitative PCR assays. Both target and non-target consignments were positive for Dactylogyrus spp. eDNA as confirmed by Sanger sequencing. Positive detections for Dactylogyrus spp. eDNA in non-target fish consignments demonstrates the possibility of source water contamination, limiting the applicability of eDNA screening methods at border control. This study suggests that screening for parasite eDNA within ornamental fish consignments should be tested during pre-export quarantine periods to avoid false positive detections at border control. Lastly, the proposed predictive framework has a broad utility for minimizing false positive and false negative eDNA detections of aquatic organisms.
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49
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Doi H, Fukaya K, Oka SI, Sato K, Kondoh M, Miya M. Evaluation of detection probabilities at the water-filtering and initial PCR steps in environmental DNA metabarcoding using a multispecies site occupancy model. Sci Rep 2019; 9:3581. [PMID: 30837589 PMCID: PMC6401178 DOI: 10.1038/s41598-019-40233-1] [Citation(s) in RCA: 55] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2017] [Accepted: 02/12/2019] [Indexed: 02/02/2023] Open
Abstract
Environmental DNA (eDNA) metabarcoding is a recently developed method to assess biodiversity based on a high-throughput parallel DNA sequencing applied to DNA present in the ecosystem. Although eDNA metabarcoding enables a rapid assessment of biodiversity, it is prone to species detection errors that may occur at sequential steps in field sampling, laboratory experiments, and bioinformatics. In this study, we illustrate how the error rates in the eDNA metabarcoding-based species detection can be accounted for by applying the multispecies occupancy modelling framework. We report a case study with the eDNA sample from an aquarium tank in which the detection probabilities of species in the two major steps of eDNA metabarcoding, filtration and PCR, across a range of PCR annealing temperatures, were examined. We also show that the results can be used to examine the efficiency of species detection under a given experimental design and setting, in terms of the efficiency of species detection, highlighting the usefulness of the multispecies site occupancy modelling framework to study the optimum conditions for molecular experiments.
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Affiliation(s)
- Hideyuki Doi
- Graduate School of Simulation Studies, University of Hyogo, Minatojima-minamimachi, Kobe, 650-0047, Japan
| | - Keiichi Fukaya
- National Institute for Environmental Studies, Tsukuba, Ibaraki, 305-8506, Japan.,The Institute of Statistical Mathematics, Midoricho, Tachikawa, Tokyo, 190-8562, Japan
| | - Shin-Ichiro Oka
- Okinawa Churashima Research Center, Ishikawa, Motobu, Okinawa, 905-0206, Japan
| | - Keiichi Sato
- Okinawa Churashima Research Center, Ishikawa, Motobu, Okinawa, 905-0206, Japan
| | - Michio Kondoh
- Faculty of Science and Technology, Ryukoku University, Seta-Oe, Otsu, 520-2194, Shiga, Japan.,Graduate School of Life Sciences Tohoku University 6-3 Aramaki Aza Aoba, Aoba-ku, Sendai, 980-8578, Japan
| | - Masaki Miya
- Department of Ecology and Environmental Sciences, Natural History Museum and Institute, Aoba-cho, Chuo-ku, Chiba, 260-8682, Japan.
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50
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Gillet B, Cottet M, Destanque T, Kue K, Descloux S, Chanudet V, Hughes S. Direct fishing and eDNA metabarcoding for biomonitoring during a 3-year survey significantly improves number of fish detected around a South East Asian reservoir. PLoS One 2018; 13:e0208592. [PMID: 30543655 PMCID: PMC6292600 DOI: 10.1371/journal.pone.0208592] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2018] [Accepted: 11/20/2018] [Indexed: 11/18/2022] Open
Abstract
Biodiversity has to be accurately evaluated to assess more precisely possible dam effects on fish populations, in particular on the most biodiverse rivers such as the Mekong River. To improve tools for fish biodiversity assessment, a methodological survey was performed in the surroundings of a recent hydropower dam in the Mekong basin, the Nam Theun 2 project. Results of two different approaches, experimental surface gillnets capture and environmental DNA metabarcoding assays based on 12S ribosomal RNA and cytochrome b, were compared during 3 years (2014–2016). Pitfalls and benefits were identified for each method but the combined use of both approaches indisputably allows describing more accurately fish diversity around the reservoir. Importantly, striking convergent results were observed for biodiversity reports. 75% of the fish species caught by gillnets (62/82) were shown by the metabarcoding study performed on DNA extracted from water samples. eDNA approach also revealed to be sensitive by detecting 30 supplementary species known as present before the dam construction but never caught by gillnets during 3 years. Furthermore, potential of the marker-genes study might be underestimated since it was not possible to assign some sequences at lower taxonomic levels. Although 121 sequences were generated for this study, a third of species in the area, that exhibits high endemism, are still unknown in DNA databases. Efforts to complete local reference libraries must continue to improve the taxonomic assignment quality when using the non-invasive and promising eDNA approach. These results are of broader interest because of increasing number of hydropower projects in the Mekong Basin. They reveal the crucial importance to sample tissues/DNA of species before dam projects, i.e. before the species could become endangered and difficult to catch, to obtain more precise biomonitoring in the future as we believe eDNA metabarcoding will rapidly be integrated as a standard tool in such studies.
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Affiliation(s)
- Benjamin Gillet
- Institut de Génomique Fonctionnelle de Lyon, Université de Lyon, Ecole Normale Supérieure de Lyon, Centre National de la Recherche Scientifique, Université Claude Bernard Lyon 1, Unité Mixte de Recherche, Lyon, France
| | - Maud Cottet
- Nam Theun 2 Power Company Limited, Environment & Social Division, Environment Department, Gnommalath Office, Vientiane, Lao PDR
| | - Thibault Destanque
- Institut de Génomique Fonctionnelle de Lyon, Université de Lyon, Ecole Normale Supérieure de Lyon, Centre National de la Recherche Scientifique, Université Claude Bernard Lyon 1, Unité Mixte de Recherche, Lyon, France
| | - Kaoboun Kue
- Nam Theun 2 Power Company Limited, Environment & Social Division, Environment Department, Gnommalath Office, Vientiane, Lao PDR
| | - Stéphane Descloux
- EDF, Hydro Engineering Centre, Environment and Social Department, Le Bourget-du-Lac, France
| | - Vincent Chanudet
- EDF, Hydro Engineering Centre, Environment and Social Department, Le Bourget-du-Lac, France
| | - Sandrine Hughes
- Institut de Génomique Fonctionnelle de Lyon, Université de Lyon, Ecole Normale Supérieure de Lyon, Centre National de la Recherche Scientifique, Université Claude Bernard Lyon 1, Unité Mixte de Recherche, Lyon, France
- * E-mail:
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