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Cook LSJ, Briscoe AG, Fonseca VG, Boenigk J, Woodward G, Bass D. Microbial, holobiont, and Tree of Life eDNA/eRNA for enhanced ecological assessment. Trends Microbiol 2024:S0966-842X(24)00173-2. [PMID: 39164135 DOI: 10.1016/j.tim.2024.07.003] [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: 01/16/2024] [Revised: 07/07/2024] [Accepted: 07/08/2024] [Indexed: 08/22/2024]
Abstract
Microbial environmental DNA and RNA (collectively 'eNA') originate from a diverse and abundant array of microbes present in environmental samples. These eNA signals, largely representing whole organisms, serve as a powerful complement to signals derived from fragments or remnants of larger organisms. Integrating microbial data into the toolbox of ecosystem assessments and biotic indices therefore has the potential to transform how we use eNA data to understand biodiversity dynamics and ecosystem functions, and to inform the next generation of environmental monitoring. Incorporating holobiont and Tree of Life approaches into eNA analyses offers further holistic insight into the range of ecological interactions between microbes and other organisms, paving the way for advancing our understanding of, and ultimately manipulating ecosystem properties pertinent to environmental management, conservation, wildlife health, and food production.
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Affiliation(s)
- Lauren S J Cook
- Centre for Environment, Fisheries and Aquaculture Science, Barrack Road, Weymouth, Dorset DT4 8UB, UK; Science, The Natural History Museum, Cromwell Road, London SW7 5BD, UK; Royal Holloway University of London, Egham, Surrey TW20 0EX, UK
| | - Andrew G Briscoe
- Science, The Natural History Museum, Cromwell Road, London SW7 5BD, UK; NatureMetrics, Surrey Research Park, Guildford GU2 7HJ, UK
| | - Vera G Fonseca
- Centre for Environment, Fisheries and Aquaculture Science, Barrack Road, Weymouth, Dorset DT4 8UB, UK
| | - Jens Boenigk
- Department of Biodiversity, University of Duisburg-Essen, 45141 Essen, Universitätsstraße 5, Germany
| | - Guy Woodward
- Georgina Mace Centre for the Living Planet, Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot, Berkshire SL5 7PY, UK
| | - David Bass
- Centre for Environment, Fisheries and Aquaculture Science, Barrack Road, Weymouth, Dorset DT4 8UB, UK; Science, The Natural History Museum, Cromwell Road, London SW7 5BD, UK; Biosciences, University of Exeter, Stocker Road, Exeter EX4 4QD, UK.
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2
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Lu S, Zeng H, Xiong F, Yao M, He S. Advances in environmental DNA monitoring: standardization, automation, and emerging technologies in aquatic ecosystems. SCIENCE CHINA. LIFE SCIENCES 2024; 67:1368-1384. [PMID: 38512561 DOI: 10.1007/s11427-023-2493-5] [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: 09/07/2023] [Accepted: 10/30/2023] [Indexed: 03/23/2024]
Abstract
Environmental DNA (eDNA) monitoring, a rapidly advancing technique for assessing biodiversity and ecosystem health, offers a noninvasive approach for detecting and quantifying species from various environmental samples. In this review, a comprehensive overview of current eDNA collection and detection technologies is provided, emphasizing the necessity for standardization and automation in aquatic ecological monitoring. Furthermore, the intricacies of water bodies, from streams to the deep sea, and the associated challenges they pose for eDNA capture and analysis are explored. The paper delineates three primary eDNA survey methods, namely, bringing back water, bringing back filters, and bringing back data, each with specific advantages and constraints in terms of labor, transport, and data acquisition. Additionally, innovations in eDNA sampling equipment, including autonomous drones, subsurface samplers, and in-situ filtration devices, and their applications in monitoring diverse taxa are discussed. Moreover, recent advancements in species-specific detection and eDNA metabarcoding are addressed, highlighting the integration of novel techniques such as CRISPR-Cas and nanopore sequencing that enable precise and rapid detection of biodiversity. The implications of environmental RNA and epigenetic modifications are considered for future applications in providing nuanced ecological data. Lastly, the review stresses the critical role of standardization and automation in enhancing data consistency and comparability for robust long-term biomonitoring. We propose that the amalgamation of these technologies represents a paradigm shift in ecological monitoring, aligning with the urgent call for biodiversity conservation and sustainable management of aquatic ecosystems.
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Affiliation(s)
- Suxiang Lu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Honghui Zeng
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Fan Xiong
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China
| | - Meng Yao
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
- School of Life Sciences, Peking University, Beijing, 100871, China.
| | - Shunping He
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China.
- Institute of Deep Sea Science and Engineering, Chinese Academy of Sciences, Sanya, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, China.
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3
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Chen X, Li S, Zhao J, Yao M. Passive eDNA sampling facilitates biodiversity monitoring and rare species detection. ENVIRONMENT INTERNATIONAL 2024; 187:108706. [PMID: 38696978 DOI: 10.1016/j.envint.2024.108706] [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: 10/31/2023] [Revised: 04/09/2024] [Accepted: 04/25/2024] [Indexed: 05/04/2024]
Abstract
Environmental DNA (eDNA) technology has revolutionized biomonitoring, but challenges remain regarding water sample processing. The passive eDNA sampler (PEDS) represents a viable alternative to active, water filtration-based eDNA enrichment methods, but the effectiveness of PEDS for surveying biodiverse and complex natural water bodies is unknown. Here, we collected eDNA using filtration and glass fiber filter-based PEDS (submerged in water for 1 d) from 27 sites along the final reach of the Yangtze River and the coast of the Yellow Sea, followed by eDNA metabarcoding analysis of fish biodiversity and quantitative PCR (qPCR) for a critically endangered aquatic mammal, the Yangtze finless porpoise. We ultimately detected 98 fish species via eDNA metabarcoding. Both eDNA sampling methods captured comparable local species richness and revealed largely similar spatial variation in fish assemblages and community partitions between the river and sea sites. Notably, the Yangtze finless porpoise was detected only in the metabarcoding of eDNA collected by PEDS at five sites. Also, species-specific qPCR revealed that the PEDS captured porpoise eDNA at more sites (7 vs. 2), in greater quantities, and with a higher detection probability (0.803 vs. 0.407) than did filtration. Our results demonstrate the capacity of PEDS for surveying fish biodiversity, and support that continuous eDNA collection by PEDS can be more effective than instantaneous water sampling at capturing low abundance and ephemeral species in natural waters. Thus, the PEDS approach can facilitate more efficient and convenient eDNA-based biodiversity surveillance and rare species detection.
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Affiliation(s)
- Xiaoyu Chen
- School of Life Sciences, Peking University, Beijing 100871, China; Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China 100871
| | - Sheng Li
- School of Life Sciences, Peking University, Beijing 100871, China; Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China 100871
| | - Jindong Zhao
- School of Life Sciences, Peking University, Beijing 100871, China; Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China 100871
| | - Meng Yao
- School of Life Sciences, Peking University, Beijing 100871, China; Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China 100871.
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Zhang L, Zhou W, Jiao M, Xie T, Xie M, Li H, Suo A, Yue W, Ding D, He W. Use of passive sampling in environmental DNA metabarcoding technology: Monitoring of fish diversity in the Jiangmen coastal waters. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 908:168298. [PMID: 37939943 DOI: 10.1016/j.scitotenv.2023.168298] [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: 04/28/2023] [Revised: 10/31/2023] [Accepted: 11/01/2023] [Indexed: 11/10/2023]
Abstract
Environmental DNA (eDNA) metabarcoding technology is proving to be the most up-to-date and promising method for monitoring marine fish diversity. Fish eDNA is usually collected on a filter membrane after the filtration of water. Not only does this require the use of specialized equipment, but the amount of filtered water needed is also difficult to meet. The recently proposed passive eDNA collection method can expand the sampling scale, providing new perspectives for monitoring marine biodiversity. The role of collection methods in eDNA surveys, however, remains unclear. In this study, a low-cost custom framework with two types of filter membrane materials was used to conduct passive submersion samplings at the north and south ends of Shangchuan Island, Jiangmen, China. After defined periods of submersion, the filter membranes were recovered and eDNA extracted. Metabarcoding techniques were applied to detect fish species information in the eDNA samples. A total of 106 marine fish species from 27 orders, 53 families, and 92 genera, including one cartilaginous fish, were identified in the samples. The majority of fish detected by active filtration were also found in the passively collected samples, within the same location. Both sampling methods, therefore, showed similar species richness. Passive sampling was effective in identifying fish species diversity and provided a higher spatial resolution owing to the sample replicates. Passive sampling was also more sensitive in detecting species that differ significantly in abundance (biomarkers) between different sampling depths. When active filtration is not possible, or when large-scale sampling is the purpose of the study, passive sampling methods certainly provide a promising alternative. The findings of our study provide guidance for fish surveys and continuous bio-stereoscopic monitoring in coastal waters.
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Affiliation(s)
- Li Zhang
- Marine Environmental Engineering Center, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Weiguo Zhou
- Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
| | - Mengyu Jiao
- Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tian Xie
- State Key Joint Laboratory of Environmental Simulation and Pollution Control, School of Environment, Beijing Normal University, Beijing 100875, China
| | - Mujiao Xie
- Guangdong Key Laboratory of Animal Conservation and Resource Utilization, Guangdong Public Laboratory of Wild Animal Conservation and Utilization, Institute of Zoology, Guangdong Academy of Sciences, Guangzhou 510260, China
| | - Hanying Li
- Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Anning Suo
- Marine Environmental Engineering Center, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China.
| | - Weizhong Yue
- Marine Environmental Engineering Center, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China.
| | - Dewen Ding
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou), Guangzhou 51145, China
| | - Weihong He
- Marine Environmental Engineering Center, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
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5
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Takahashi M, Saccò M, Kestel JH, Nester G, Campbell MA, van der Heyde M, Heydenrych MJ, Juszkiewicz DJ, Nevill P, Dawkins KL, Bessey C, Fernandes K, Miller H, Power M, Mousavi-Derazmahalleh M, Newton JP, White NE, Richards ZT, Allentoft ME. Aquatic environmental DNA: A review of the macro-organismal biomonitoring revolution. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 873:162322. [PMID: 36801404 DOI: 10.1016/j.scitotenv.2023.162322] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 02/13/2023] [Accepted: 02/14/2023] [Indexed: 06/18/2023]
Abstract
Environmental DNA (eDNA) is the fastest growing biomonitoring tool fuelled by two key features: time efficiency and sensitivity. Technological advancements allow rapid biodiversity detection at both species and community levels with increasing accuracy. Concurrently, there has been a global demand to standardise eDNA methods, but this is only possible with an in-depth overview of the technological advancements and a discussion of the pros and cons of available methods. We therefore conducted a systematic literature review of 407 peer-reviewed papers on aquatic eDNA published between 2012 and 2021. We observed a gradual increase in the annual number of publications from four (2012) to 28 (2018), followed by a rapid growth to 124 publications in 2021. This was mirrored by a tremendous diversification of methods in all aspects of the eDNA workflow. For example, in 2012 only freezing was applied to preserve filter samples, whereas we recorded 12 different preservation methods in the 2021 literature. Despite an ongoing standardisation debate in the eDNA community, the field is seemingly moving fast in the opposite direction and we discuss the reasons and implications. Moreover, by compiling the largest PCR-primer database to date, we provide information on 522 and 141 published species-specific and metabarcoding primers targeting a wide range of aquatic organisms. This works as a user-friendly 'distillation' of primer information that was hitherto scattered across hundreds of papers, but the list also reflects which taxa are commonly studied with eDNA technology in aquatic environments such as fish and amphibians, and reveals that groups such as corals, plankton and algae are under-studied. Efforts to improve sampling and extraction methods, primer specificity and reference databases are crucial to capture these ecologically important taxa in future eDNA biomonitoring surveys. In a rapidly diversifying field, this review synthetises aquatic eDNA procedures and can guide eDNA users towards best practice.
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Affiliation(s)
- Miwa Takahashi
- Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia; Commonwealth Scientific and Industrial Research Organization, Indian Oceans Marine Research Centre, Environomics Future Science Platform, Crawley, Western Australia, Australia.
| | - Mattia Saccò
- Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia.
| | - Joshua H Kestel
- Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia
| | - Georgia Nester
- Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia
| | - Matthew A Campbell
- Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia
| | - Mieke van der Heyde
- Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia
| | - Matthew J Heydenrych
- Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia; Jarman Laboratory, Indian Ocean Marine Research Centre, School of Biological Sciences, University of Western Australia, Australia
| | - David J Juszkiewicz
- Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia
| | - Paul Nevill
- Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia
| | - Kathryn L Dawkins
- Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia
| | - Cindy Bessey
- Commonwealth Scientific and Industrial Research Organization, Indian Oceans Marine Research Centre, Oceans and Atmosphere, Crawley, Western Australia, Australia
| | - Kristen Fernandes
- Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia
| | - Haylea Miller
- Commonwealth Scientific and Industrial Research Organization, Indian Oceans Marine Research Centre, Environomics Future Science Platform, Crawley, Western Australia, Australia
| | - Matthew Power
- Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia
| | - Mahsa Mousavi-Derazmahalleh
- Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia
| | - Joshua P Newton
- Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia
| | - Nicole E White
- Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia
| | - Zoe T Richards
- Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia
| | - Morten E Allentoft
- Trace and Environmental DNA (TrEnD) Lab, School of Molecular and Life Sciences, Curtin University, Kent St, Bentley, WA 6102, Australia; Lundbeck Foundation GeoGenetics Centre, Globe Institute, University of Copenhagen, Copenhagen, Denmark.
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Bass D, Christison KW, Stentiford GD, Cook LSJ, Hartikainen H. Environmental DNA/RNA for pathogen and parasite detection, surveillance, and ecology. Trends Parasitol 2023; 39:285-304. [PMID: 36759269 DOI: 10.1016/j.pt.2022.12.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 12/20/2022] [Accepted: 12/26/2022] [Indexed: 02/11/2023]
Abstract
Detection of pathogens, parasites, and other symbionts in environmental samples via eDNA/eRNA (collectively eNA) is an increasingly important source of information about their occurrence and activity. There is great potential for using such detections as a proxy for infection of host organisms in connected habitats, for pathogen monitoring and surveillance, and for early warning systems for disease. However, many factors require consideration, and appropriate methods developed and verified, in order that eNA detections can be reliably interpreted and adopted for surveillance and assessment of disease risk, and potentially inclusion in international standards, such as the World Organisation for Animal Health guidelines. Disease manifestation results from host-symbiont-environment interactions between hosts, demanding a multifactorial approach to interpretation of eNA signals.
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Affiliation(s)
- David Bass
- International Centre of Excellence for Aquatic Animal Health, The Centre for Environment, Fisheries and Aquaculture Science, Weymouth, UK; Sustainable Aquaculture Futures, Biosciences, College of Life and Environmental Sciences, University of Exeter, Stocker Road, Exeter, UK.
| | - Kevin W Christison
- Department of Biodiversity and Conservation Biology, University of the Western Cape, Private Bag X17, Bellville, 7535, South Africa; Department of Forestry, Fisheries and the Environment, Private Bag X2, Vlaeberg, 8012, South Africa
| | - Grant D Stentiford
- International Centre of Excellence for Aquatic Animal Health, The Centre for Environment, Fisheries and Aquaculture Science, Weymouth, UK; Sustainable Aquaculture Futures, Biosciences, College of Life and Environmental Sciences, University of Exeter, Stocker Road, Exeter, UK
| | - Lauren S J Cook
- International Centre of Excellence for Aquatic Animal Health, The Centre for Environment, Fisheries and Aquaculture Science, Weymouth, UK; Royal Holloway, University of London, Egham Hill, Egham TW20 0EX, UK
| | - Hanna Hartikainen
- University of Nottingham, School of Life Sciences, University Park, NG7 2RD, Nottingham, UK
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Picard MH, Zaiko A, Tidy AM, Kelly DJ, Thomson-Laing G, Wilkinson SP, Pochon X, Vandergoes MJ, Hawes I, Wood SA. Optimal sample type and number vary in small shallow lakes when targeting non-native fish environmental DNA. PeerJ 2023; 11:e15210. [PMID: 37151294 PMCID: PMC10162041 DOI: 10.7717/peerj.15210] [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: 06/23/2022] [Accepted: 03/20/2023] [Indexed: 05/09/2023] Open
Abstract
Non-native fish have been shown to have deleterious impacts on freshwater ecosystems in New Zealand. Early detection is critical for their effective management. Traditional capture-based techniques may not detect newly introduced fish, especially if they are present in low abundance. Molecular techniques that target environmental DNA (eDNA) have been shown, in many instances, to be more sensitive, cost-effective and require lower sampling effort. However, appropriate sampling strategies are needed to ensure robust and interpretable data are obtained. In this study we used droplet digital PCR assays to investigate the presence of two non-native fish in New Zealand, the European perch (Perca fluviatilis) and rudd (Scardinius erythrophthalmus) in three small lakes. Samples were collected from water and surface sediment at near-shore and mid-lake sites. Probabilistic modelling was used to assess the occupancy of fish eDNA and develop guidance on sampling strategies. Based on the detection probability measures from the present study, at least six sites and five replicates per site are needed to reliably detect fish eDNA in sediment samples, and twelve sites with eight replicates per site for water samples. The results highlight the potential of developing monitoring and surveillance programs adapted to lakes, that include the use of assays targeting eDNA. This study focused on small shallow lakes, and it is likely that these recommendations may vary in larger, deeper, and more geomorphologically complex lakes, and this requires further research.
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Affiliation(s)
- Maïlys H.V. Picard
- School of Biological Sciences, Department of Biological Sciences, University of Waikato, Hamilton, New Zealand
- Coastal and Freshwater, Cawthron Institute, Nelson, New Zealand
| | - Anastasija Zaiko
- Coastal and Freshwater, Cawthron Institute, Nelson, New Zealand
- Institute of Marine Science, University of Auckland, Warkworth, New Zealand
| | | | - David J. Kelly
- Coastal and Freshwater, Cawthron Institute, Nelson, New Zealand
| | | | | | - Xavier Pochon
- Coastal and Freshwater, Cawthron Institute, Nelson, New Zealand
- Institute of Marine Science, University of Auckland, Warkworth, New Zealand
| | | | - Ian Hawes
- School of Biological Sciences, Department of Biological Sciences, University of Waikato, Hamilton, New Zealand
| | - Susanna A. Wood
- Coastal and Freshwater, Cawthron Institute, Nelson, New Zealand
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Chen X, Kong Y, Zhang S, Zhao J, Li S, Yao M. Comparative Evaluation of Common Materials as Passive Samplers of Environmental DNA. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:10798-10807. [PMID: 35856738 DOI: 10.1021/acs.est.2c02506] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Environmental DNA (eDNA) technology has revolutionized biomonitoring in recent years; however, eDNA collection from aquatic environments generally relies on the time-consuming and equipment-dependent process of water filtration. Passive eDNA sampling deploys sorbent materials to capture eDNA from water, circumventing many problems associated with active filtration; yet, very few candidate materials have been systematically evaluated for this purpose. Here, we evaluated the ability of 12 different types of common loose sorbents and filter membranes to capture eDNA in laboratory and field experiments compared with conventional water filtration. Glass fiber filters (GF) outperformed all other materials in laboratory experiments with respect to their quantitative capacity to recover amphibian eDNA, with the eDNA yield increasing linearly with submersion time up to 72 h. Furthermore, GF rapidly (within 0.5 h) captured the eDNA of up to 71% of the total fish species in a lake, in addition to detecting the entire fish community by 8 h, as assessed by metabarcoding analysis. Our results demonstrate that GF could passively capture aqueous eDNA with a similar or greater efficiency than conventional methods, thus paving the way for convenient, effective, and eco-friendly eDNA sampling in aquatic environments.
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Affiliation(s)
- Xiaoyu Chen
- School of Life Sciences, Peking University, Beijing 100871, China
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Yueqiao Kong
- School of Life Sciences, Peking University, Beijing 100871, China
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Shan Zhang
- School of Life Sciences, Peking University, Beijing 100871, China
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Jindong Zhao
- School of Life Sciences, Peking University, Beijing 100871, China
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Sheng Li
- School of Life Sciences, Peking University, Beijing 100871, China
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Meng Yao
- School of Life Sciences, Peking University, Beijing 100871, China
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
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