1
|
González-Miguéns R, Cano E, García-Gallo Pinto M, Peña PG, Rincón-Barrado M, Iglesias G, Blanco-Rotea A, Carrasco-Braganza MI, de Salvador-Velasco D, Guillén-Oterino A, Tenorio-Rodríguez D, Siemensma F, Velázquez D, Lara E. The voice of the little giants: Arcellinida testate amoebae in environmental DNA-based bioindication, from taxonomy free to haplotypic level. Mol Ecol Resour 2024:e13999. [PMID: 39044539 DOI: 10.1111/1755-0998.13999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2024] [Revised: 07/01/2024] [Accepted: 07/15/2024] [Indexed: 07/25/2024]
Abstract
Bioindication, evaluating biological responses to environmental disturbances, is crucial for assessing the ecological status of an ecosystem. While historical bioindication relied on macroscopic organisms, the introduction of environmental DNA (eDNA) techniques allows the application of protists without the necessity of morphological identification. In this study, we propose a novel bioindication methodology utilizing Arcellinida, a group of top predators among protists, as bioindicators of freshwater ecosystems. For that purpose, we first characterized the Arcellinida diversity over 1 year at three different points of Lake Sanabria, an ancient glacier lake known to be subjected to anthropogenic disturbances. We compared this diversity with an undisturbed control site. Second, we characterized the Arcellinida diversity in other ecosystems to generate the ecological background to test the connectivity between them. Results indicate limited connectivity between the different ecosystems and an edge effect between terrestrial and aquatic ecosystems. Disturbed freshwater ecosystems exhibited reduced Arcellinida diversity at both specific and infraspecific levels, providing valuable insight into recent disturbances. Arcellinida-based bioindication provides a sensitive, accurate and easy-to-interpret protocol for monitoring disturbances in freshwater ecosystems. It represents a valuable tool for environmental assessments and conservation strategies.
Collapse
Affiliation(s)
- Rubén González-Miguéns
- Real Jardín Botánico (RJB-CSIC), Madrid, Spain
- Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Barcelona, Spain
| | - Emilio Cano
- Real Jardín Botánico (RJB-CSIC), Madrid, Spain
- Research Support Unit, Real Jardín Botánico (CSIC), Madrid, Spain
| | - Mónica García-Gallo Pinto
- Real Jardín Botánico (RJB-CSIC), Madrid, Spain
- Research Support Unit, Real Jardín Botánico (CSIC), Madrid, Spain
| | | | | | - Guillermo Iglesias
- Departamento de Sistemas Informáticos, Escuela Técnica Superior de Ingeniería de Sistemas Informáticos, Universidad Politécnica de Madrid, Madrid, Spain
| | - Andrés Blanco-Rotea
- Estación Biológica Internacional Duero-Douro (EUROPARQUES-EBI), Buque hidrográfico Helios-Cousteau en el Lago de Sanabria, Castilla y León, Spain
| | - María Isabel Carrasco-Braganza
- Estación Biológica Internacional Duero-Douro (EUROPARQUES-EBI), Buque hidrográfico Helios-Cousteau en el Lago de Sanabria, Castilla y León, Spain
| | - David de Salvador-Velasco
- Estación Biológica Internacional Duero-Douro (EUROPARQUES-EBI), Buque hidrográfico Helios-Cousteau en el Lago de Sanabria, Castilla y León, Spain
| | - Antonio Guillén-Oterino
- Estación Biológica Internacional Duero-Douro (EUROPARQUES-EBI), Buque hidrográfico Helios-Cousteau en el Lago de Sanabria, Castilla y León, Spain
| | - Daniel Tenorio-Rodríguez
- Estación Biológica Internacional Duero-Douro (EUROPARQUES-EBI), Buque hidrográfico Helios-Cousteau en el Lago de Sanabria, Castilla y León, Spain
| | | | - David Velázquez
- Department of Biology, Universidad Autónoma de Madrid, Madrid, Spain
| | | |
Collapse
|
2
|
Govender A, Singh S, Groeneveld J, Pillay S, Willows-Munro S. Metabarcoding analysis of marine zooplankton confirms the ecological role of a sheltered bight along an exposed continental shelf. Mol Ecol 2023; 32:6210-6222. [PMID: 35712991 DOI: 10.1111/mec.16567] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2021] [Revised: 05/17/2022] [Accepted: 06/10/2022] [Indexed: 11/30/2022]
Abstract
Zooplankton plays an essential role in marine ecosystems as the link between primary producers (phytoplankton) and higher trophic levels in food webs, and as a dynamic pool of recruits for invertebrates and fish. Zooplankton communities are diverse with a patchy distribution at different spatial scales, influenced by oceanographic processes. The continental shelf of eastern South Africa is narrow and exposed to the western-boundary Agulhas Current, with some shelter against strong directional flow provided by the broader KwaZulu-Natal Bight, a coastal offset adjacent to an estuary. We compared zooplankton species richness, diversity and relative abundance of key taxa among sheltered and exposed shelf areas using metabarcoding and community analysis, to explore the ecological role of the bight in a highly dynamic ocean region. Metabarcoding recovered higher richness and diversity at a finer resolution than could previously be achieved with traditional microscopy. Of 271 operational taxonomic units (OTUs) recovered through metabarcoding, 63% could be matched with >95% sequence similarity to reference barcodes. OTUs were dominated by malacostracan crustaceans (161 spp.), ray-finned fishes (45 spp.) and copepods (28 spp.). Species richness, diversity and the relative abundance of key taxa differed between sheltered and exposed shelf areas. Lower species richness in the bight was partly attributed to structurally homogeneous benthic habitats, and an associated reduction of meroplanktonic species originating from local benthic-pelagic exchange. High relative abundance of a ray-finned fish in the bight, as observed based on fish eggs and read counts, confirmed that the bight is an important fish spawning area. Overall, zooplankton metabarcoding outputs were congruent with findings of previous ecological research using more traditional methods of observation.
Collapse
Affiliation(s)
- Ashrenee Govender
- School of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa
- Oceanographic Research Institute, Durban, South Africa
| | - Sohana Singh
- Oceanographic Research Institute, Durban, South Africa
| | - Johan Groeneveld
- School of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa
- Oceanographic Research Institute, Durban, South Africa
| | - Sureshnee Pillay
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Department of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Durban, South Africa
| | - Sandi Willows-Munro
- School of Life Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| |
Collapse
|
3
|
Pérez-Fleitas E, Milián-García Y, Sosa-Rodríguez G, Amato G, Rossi N, Shirley MH, Hanner RH. Environmental DNA-based biomonitoring of Cuban Crocodylus and their accompanying vertebrate fauna from Zapata Swamp, Cuba. Sci Rep 2023; 13:20438. [PMID: 37993480 PMCID: PMC10665403 DOI: 10.1038/s41598-023-47675-8] [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: 07/07/2023] [Accepted: 11/16/2023] [Indexed: 11/24/2023] Open
Abstract
Crocodylians globally face considerable challenges, including population decline and extensive habitat modification. Close monitoring of crocodylian populations and their habitats is imperative for the timely detection of population trends, especially in response to management interventions. Here we use eDNA metabarcoding to identify the Critically Endangered Crocodylus rhombifer and the Vulnerable C. acutus, as well as vertebrate community diversity, in Cuba's Zapata Swamp. We tested four different primer sets, including those used previously in Crocodylus population genetic and phylogenetic research, for their efficiency at detecting crocodylian eDNA. We detected C. rhombifer eDNA in 11 out of 15 sampled locations within its historical geographic distribution. We found that data analyses using the VertCOI primers and the mBRAVE bioinformatics pipeline were the most effective molecular marker and pipeline combination for identifying this species from environmental samples. We also identified 55 vertebrate species in environmental samples across the four bioinformatics pipelines- ~ 85% known to be present in the Zapata ecosystem. Among them were eight species previously undetected in the area and eight alien species, including known predators of hatchling crocodiles (e.g., Clarias sp.) and egg predators (e.g., Mus musculus). This study highlights eDNA metabarcoding as a powerful tool for crocodylian biomonitoring within fragile and diverse ecosystems, particularly where fast, non-invasive methods permit detection in economically important areas and will lead to a better understanding of complex human-crocodile interactions and evaluate habitat suitability for potential reintroductions or recovery programs for threatened crocodylian species.
Collapse
Affiliation(s)
- Etiam Pérez-Fleitas
- Enterprise for the Conservation of the Zapata Swamp, Ciénaga de Zapata, Matanzas, Cuba.
| | | | | | - George Amato
- Institute for Comparative Genomics, American Museum of Natural History, Central Park West at 79th Street, New York, NY, 10024, USA
| | - Natalia Rossi
- Wildlife Conservation Society, 2300 Southern Blvd., Bronx, NY, 10460, USA
| | - Matthew H Shirley
- National Forensic Science Technology Center, Global Forensics and Justice Center, Florida International University, 8285 Bryan Dairy Rd #125, Largo, FL, 33777, USA
| | - Robert H Hanner
- Department of Integrative Biology, University of Guelph, Guelph, ON, Canada
| |
Collapse
|
4
|
Suzzi AL, Huggett MJ, Gaston TF, MacFarlane GR, Alam MR, Gibb J, Stat M. eDNA metabarcoding reveals shifts in sediment eukaryote communities in a metal contaminated estuary. MARINE POLLUTION BULLETIN 2023; 191:114896. [PMID: 37058833 DOI: 10.1016/j.marpolbul.2023.114896] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Revised: 03/21/2023] [Accepted: 03/27/2023] [Indexed: 05/13/2023]
Abstract
Metal contamination is a global issue impacting biodiversity in urbanised estuaries. Traditional methods to assess biodiversity are time consuming, costly and often exclude small or cryptic organisms due to difficulties with morphological identification. Metabarcoding approaches have been increasingly recognised for their utility in monitoring, however studies have focused on freshwater and marine systems despite the ecological significance of estuaries. We targeted estuarine eukaryote communities within the sediments of Australia's largest urbanised estuary, where a history of industrial activity has resulted in a metal contamination gradient. We identified specific eukaryote families with significant correlations with bioavailable metal concentrations, indicating sensitivity or tolerance to specific metals. While polychaete families Terebellidae and Syllidae demonstrated tolerance to the contamination gradient, members of the meio- and microfaunal communities including diatoms, dinoflagellates and nematodes displayed sensitivities. These may have high value as indicators but are frequently missed in traditional surveys due to sampling limitations.
Collapse
Affiliation(s)
- Alessandra L Suzzi
- School of Environmental and Life Sciences, The University of Newcastle, Ourimbah, NSW 2258, Australia.
| | - Megan J Huggett
- School of Environmental and Life Sciences, The University of Newcastle, Ourimbah, NSW 2258, Australia
| | - Troy F Gaston
- School of Environmental and Life Sciences, The University of Newcastle, Ourimbah, NSW 2258, Australia
| | - Geoff R MacFarlane
- School of Environmental and Life Sciences, The University of Newcastle, Ourimbah, NSW 2258, Australia
| | - Md Rushna Alam
- School of Environmental and Life Sciences, The University of Newcastle, Ourimbah, NSW 2258, Australia; Department of Aquaculture, Patuakhali Science and Technology University, Dumki, Patuakhali, Bangladesh
| | - Jodie Gibb
- School of Environmental and Life Sciences, The University of Newcastle, Ourimbah, NSW 2258, Australia
| | - Michael Stat
- School of Environmental and Life Sciences, The University of Newcastle, Ourimbah, NSW 2258, Australia
| |
Collapse
|
5
|
Kestel JH, Field DL, Bateman PW, White NE, Allentoft ME, Hopkins AJM, Gibberd M, Nevill P. Applications of environmental DNA (eDNA) in agricultural systems: Current uses, limitations and future prospects. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 847:157556. [PMID: 35882340 DOI: 10.1016/j.scitotenv.2022.157556] [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] [Received: 03/28/2022] [Revised: 06/29/2022] [Accepted: 07/18/2022] [Indexed: 06/15/2023]
Abstract
Global food production, food supply chains and food security are increasingly stressed by human population growth and loss of arable land, becoming more vulnerable to anthropogenic and environmental perturbations. Numerous mutualistic and antagonistic species are interconnected with the cultivation of crops and livestock and these can be challenging to identify on the large scales of food production systems. Accurate identifications to capture this diversity and rapid scalable monitoring are necessary to identify emerging threats (i.e. pests and pathogens), inform on ecosystem health (i.e. soil and pollinator diversity), and provide evidence for new management practices (i.e. fertiliser and pesticide applications). Increasingly, environmental DNA (eDNA) is providing rapid and accurate classifications for specific organisms and entire species assemblages in substrates ranging from soil to air. Here, we aim to discuss how eDNA is being used for monitoring of agricultural ecosystems, what current limitations exist, and how these could be managed to expand applications into the future. In a systematic review we identify that eDNA-based monitoring in food production systems accounts for only 4 % of all eDNA studies. We found that the majority of these eDNA studies target soil and plant substrates (60 %), predominantly to identify microbes and insects (60 %) and are biased towards Europe (42 %). While eDNA-based monitoring studies are uncommon in many of the world's food production systems, the trend is most pronounced in emerging economies often where food security is most at risk. We suggest that the biggest limitations to eDNA for agriculture are false negatives resulting from DNA degradation and assay biases, as well as incomplete databases and the interpretation of abundance data. These require in silico, in vitro, and in vivo approaches to carefully design, test and apply eDNA monitoring for reliable and accurate taxonomic identifications. We explore future opportunities for eDNA research which could further develop this useful tool for food production system monitoring in both emerging and developed economies, hopefully improving monitoring, and ultimately food security.
Collapse
Affiliation(s)
- Joshua H Kestel
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia; Molecular Ecology and Evolution Group (MEEG), School of Science, Edith Cowan University, Joondalup 6027, Australia.
| | - David L Field
- Molecular Ecology and Evolution Group (MEEG), School of Science, Edith Cowan University, Joondalup 6027, Australia
| | - Philip W Bateman
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia; Behavioural Ecology Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
| | - Nicole E White
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
| | - Morten E Allentoft
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia; Lundbeck Foundation GeoGenetics Centre, GLOBE Institute, University of Copenhagen, Øster Voldgade 5-7, Copenhagen, Denmark
| | - Anna J M Hopkins
- Molecular Ecology and Evolution Group (MEEG), School of Science, Edith Cowan University, Joondalup 6027, Australia
| | - Mark Gibberd
- Centre for Crop Disease Management (CCDM), School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
| | - Paul Nevill
- Trace and Environmental DNA (TrEnD) Laboratory, School of Molecular and Life Sciences, Curtin University, Perth 6102, WA, Australia
| |
Collapse
|
6
|
Pawlowski J, Bruce K, Panksep K, Aguirre FI, Amalfitano S, Apothéloz-Perret-Gentil L, Baussant T, Bouchez A, Carugati L, Cermakova K, Cordier T, Corinaldesi C, Costa FO, Danovaro R, Dell'Anno A, Duarte S, Eisendle U, Ferrari BJD, Frontalini F, Frühe L, Haegerbaeumer A, Kisand V, Krolicka A, Lanzén A, Leese F, Lejzerowicz F, Lyautey E, Maček I, Sagova-Marečková M, Pearman JK, Pochon X, Stoeck T, Vivien R, Weigand A, Fazi S. Environmental DNA metabarcoding for benthic monitoring: A review of sediment sampling and DNA extraction methods. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 818:151783. [PMID: 34801504 DOI: 10.1016/j.scitotenv.2021.151783] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 11/06/2021] [Accepted: 11/14/2021] [Indexed: 06/13/2023]
Abstract
Environmental DNA (eDNA) metabarcoding (parallel sequencing of DNA/RNA for identification of whole communities within a targeted group) is revolutionizing the field of aquatic biomonitoring. To date, most metabarcoding studies aiming to assess the ecological status of aquatic ecosystems have focused on water eDNA and macroinvertebrate bulk samples. However, the eDNA metabarcoding has also been applied to soft sediment samples, mainly for assessing microbial or meiofaunal biota. Compared to classical methodologies based on manual sorting and morphological identification of benthic taxa, eDNA metabarcoding offers potentially important advantages for assessing the environmental quality of sediments. The methods and protocols utilized for sediment eDNA metabarcoding can vary considerably among studies, and standardization efforts are needed to improve their robustness, comparability and use within regulatory frameworks. Here, we review the available information on eDNA metabarcoding applied to sediment samples, with a focus on sampling, preservation, and DNA extraction steps. We discuss challenges specific to sediment eDNA analysis, including the variety of different sources and states of eDNA and its persistence in the sediment. This paper aims to identify good-practice strategies and facilitate method harmonization for routine use of sediment eDNA in future benthic monitoring.
Collapse
Affiliation(s)
- J Pawlowski
- Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland; Institute of Oceanology, Polish Academy of Sciences, 81-712 Sopot, Poland; ID-Gene Ecodiagnostics, 1202 Geneva, Switzerland
| | - K Bruce
- NatureMetrics Ltd, CABI Site, Bakeham Lane, Egham TW20 9TY, UK
| | - K Panksep
- Institute of Technology, University of Tartu, Tartu 50411, Estonia; Chair of Hydrobiology and Fishery, Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Tartu, Estonia; Chair of Aquaculture, Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Estonia
| | - F I Aguirre
- Water Research Institute, National Research Council of Italy (IRSA-CNR), Monterotondo, Rome, Italy
| | - S Amalfitano
- Water Research Institute, National Research Council of Italy (IRSA-CNR), Monterotondo, Rome, Italy
| | - L Apothéloz-Perret-Gentil
- Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland; ID-Gene Ecodiagnostics, 1202 Geneva, Switzerland
| | - T Baussant
- Norwegian Research Center AS, NORCE Environment, Marine Ecology Group, Mekjarvik 12, 4070 Randaberg, Norway
| | - A Bouchez
- INRAE, CARRTEL, 74200 Thonon-les-Bains, France
| | - L Carugati
- Department of Life and Environmental Sciences, Polytechnic University of Marche, Via Brecce Bianche, Ancona 60131, Italy
| | - K Cermakova
- ID-Gene Ecodiagnostics, 1202 Geneva, Switzerland
| | - T Cordier
- Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland; NORCE Climate, NORCE Norwegian Research Centre AS, Bjerknes Centre for Climate Research, Jahnebakken 5, 5007 Bergen, Norway
| | - C Corinaldesi
- Department of Materials, Environmental Sciences and Urban Planning, Polytechnic University of Marche, Via Brecce Bianche, Ancona 60131, Italy
| | - F O Costa
- Centre of Molecular and Environmental Biology (CBMA), Department of Biology, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal; Institute of Science and Innovation for Bio-Sustainability (IB-S), University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
| | - R Danovaro
- Department of Life and Environmental Sciences, Polytechnic University of Marche, Via Brecce Bianche, Ancona 60131, Italy
| | - A Dell'Anno
- Department of Life and Environmental Sciences, Polytechnic University of Marche, Via Brecce Bianche, Ancona 60131, Italy
| | - S Duarte
- Centre of Molecular and Environmental Biology (CBMA), Department of Biology, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal; Institute of Science and Innovation for Bio-Sustainability (IB-S), University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
| | - U Eisendle
- University of Salzburg, Dept. of Biosciences, 5020 Salzburg, Austria
| | - B J D Ferrari
- Swiss Centre for Applied Ecotoxicology (Ecotox Centre), EPFL ENAC IIE-GE, 1015 Lausanne, Switzerland
| | - F Frontalini
- Department of Pure and Applied Sciences, Urbino University, Urbino, Italy
| | - L Frühe
- Technische Universität Kaiserslautern, Ecology Group, D-67663 Kaiserslautern, Germany
| | - A Haegerbaeumer
- Bielefeld University, Animal Ecology, 33615 Bielefeld, Germany
| | - V Kisand
- Institute of Technology, University of Tartu, Tartu 50411, Estonia
| | - A Krolicka
- Norwegian Research Center AS, NORCE Environment, Marine Ecology Group, Mekjarvik 12, 4070 Randaberg, Norway
| | - A Lanzén
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Gipuzkoa, Spain; IKERBASQUE, Basque Foundation for Science, Bilbao, Bizkaia, Spain
| | - F Leese
- University of Duisburg-Essen, Faculty of Biology, Aquatic Ecosystem Research, Germany
| | - F Lejzerowicz
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA
| | - E Lyautey
- Univ. Savoie Mont Blanc, INRAE, CARRTEL, 74200 Thonon-les-Bains, France
| | - I Maček
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000 Ljubljana, Slovenia; Faculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT), University of Primorska, Glagoljaška 8, 6000 Koper, Slovenia
| | - M Sagova-Marečková
- Czech University of Life Sciences, Dept. of Microbiology, Nutrition and Dietetics, Prague, Czech Republic
| | - J K Pearman
- Coastal and Freshwater Group, Cawthron Institute, Private Bag 2, Nelson 7042, New Zealand
| | - X Pochon
- Coastal and Freshwater Group, Cawthron Institute, Private Bag 2, Nelson 7042, New Zealand; Institute of Marine Science, University of Auckland, Warkworth 0941, New Zealand
| | - T Stoeck
- Technische Universität Kaiserslautern, Ecology Group, D-67663 Kaiserslautern, Germany
| | - R Vivien
- Swiss Centre for Applied Ecotoxicology (Ecotox Centre), EPFL ENAC IIE-GE, 1015 Lausanne, Switzerland
| | - A Weigand
- National Museum of Natural History Luxembourg, 25 Rue Münster, L-2160 Luxembourg, Luxembourg
| | - S Fazi
- Water Research Institute, National Research Council of Italy (IRSA-CNR), Monterotondo, Rome, Italy.
| |
Collapse
|
7
|
Young MR, Hebert PDN. Unearthing soil arthropod diversity through DNA metabarcoding. PeerJ 2022; 10:e12845. [PMID: 35178296 PMCID: PMC8815377 DOI: 10.7717/peerj.12845] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 01/06/2022] [Indexed: 01/10/2023] Open
Abstract
DNA metabarcoding has the potential to greatly advance understanding of soil biodiversity, but this approach has seen limited application for the most abundant and species-rich group of soil fauna-the arthropods. This study begins to address this gap by comparing information on species composition recovered from metabarcoding two types of bulk samples (specimens, soil) from a temperate zone site and from bulk soil samples collected at eight sites in the Arctic. Analysis of 22 samples (3 specimen, 19 soil) revealed 410 arthropod OTUs belonging to 112 families, 25 orders, and nine classes. Studies at the temperate zone site revealed little overlap in species composition between soil and specimen samples, but more overlap at higher taxonomic levels (families, orders) and congruent patterns of α- and β-diversity. Expansion of soil analyses to the Arctic revealed locally rich, highly dissimilar, and spatially structured assemblages compatible with dispersal limited and environmentally driven assembly. The current study demonstrates that DNA metabarcoding of bulk soil enables rapid, large-scale assessments of soil arthropod diversity. However, deep sequence coverage is required to adequately capture the species present in these samples, and expansion of the DNA barcode reference library is necessary to improve taxonomic resolution of the sequences recovered through this approach.
Collapse
Affiliation(s)
- Monica R. Young
- Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada,Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada
| | - Paul D. N. Hebert
- Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada,Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada
| |
Collapse
|
8
|
Govender A, Singh S, Groeneveld J, Pillay S, Willows-Munro S. Experimental validation of taxon-specific mini-barcode primers for metabarcoding of zooplankton. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2022; 32:e02469. [PMID: 34626511 DOI: 10.1002/eap.2469] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 04/23/2021] [Accepted: 05/20/2021] [Indexed: 06/13/2023]
Abstract
Metabarcoding to determine the species composition and diversity of marine zooplankton communities is a fast-developing field in which the standardization of methods is yet to be fully achieved. The selection of genetic markers and primer choice are particularly important because they substantially influence species detection rates and accuracy. Validation is therefore an important step in the design of metabarcoding protocols. We developed taxon-specific mini-barcode primers for the cytochrome c oxidase subunit I (COI) gene region and used an experimental approach to test species detection rates and primer accuracy of the newly designed primers for prawns, shrimps and crabs and published primers for marine lobsters and fish. Artificially assembled mock communities (with known species ratios) and unsorted coastal tow-net zooplankton samples were sequenced and the detected species were compared with those seeded in mock communities to test detection rates. Taxon-specific primers increased detection rates of target taxa compared with a universal primer set. Primer cocktails (multiple primer sets) significantly increased species detection rates compared with single primer pairs and could detect up to 100% of underrepresented target taxa in mock communities. Taxon-specific primers recovered fewer false-positive or false-negative results than the universal primer. The methods used to design taxon-specific mini-barcodes and the experimental mock community validation protocols shown here can easily be applied to studies on other groups and will allow for a level of standardization among studies undertaken in different ecosystems or geographic locations.
Collapse
Affiliation(s)
- Ashrenee Govender
- School of Life Sciences, University of KwaZulu-Natal, Carbis Road, Pietermaritzburg, KwaZulu-Natal, 3201, South Africa
- Oceanographic Research Institute, King Shaka Avenue, Point, Durban, KwaZulu-Natal, 4001, South Africa
| | - Sohana Singh
- Oceanographic Research Institute, King Shaka Avenue, Point, Durban, KwaZulu-Natal, 4001, South Africa
| | - Johan Groeneveld
- School of Life Sciences, University of KwaZulu-Natal, Carbis Road, Pietermaritzburg, KwaZulu-Natal, 3201, South Africa
- Oceanographic Research Institute, King Shaka Avenue, Point, Durban, KwaZulu-Natal, 4001, South Africa
| | - Sureshnee Pillay
- KwaZulu-Natal Research Innovation and Sequencing Platform (KRISP), Department of Laboratory Medicine and Medical Sciences, University of KwaZulu-Natal, Umbilo Rd, Durban, KwaZulu-Natal, 4001, South Africa
| | - Sandi Willows-Munro
- School of Life Sciences, University of KwaZulu-Natal, Carbis Road, Pietermaritzburg, KwaZulu-Natal, 3201, South Africa
| |
Collapse
|
9
|
Van den Bulcke L, De Backer A, Ampe B, Maes S, Wittoeck J, Waegeman W, Hostens K, Derycke S. Towards harmonization of DNA metabarcoding for monitoring marine macrobenthos: the effect of technical replicates and pooled DNA extractions on species detection. METABARCODING AND METAGENOMICS 2021. [DOI: 10.3897/mbmg.5.71107] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023] Open
Abstract
DNA-based monitoring methods are potentially faster and cheaper compared to traditional morphological benthic identification. DNA metabarcoding involves various methodological choices which can introduce bias leading to a different outcome in biodiversity patterns. Therefore, it is important to harmonize DNA metabarcoding protocols to allow comparison across studies and this requires a good understanding of the effect of methodological choices on diversity estimates. This study investigated the impact of DNA and PCR replicates on the detection of macrobenthos species in locations with high, medium and low diversity. Our results show that two to three DNA replicates were needed in locations with a high and medium diversity to detect at least 80% of the species found in the six DNA replicates, while three to four replicates were needed in the location with low diversity. In contrast to general belief, larger body size or higher abundance of the species in a sample did not increase its detection prevalence among DNA replicates. However, rare species were less consistently detected across all DNA replicates of the location with high diversity compared to locations with less diversity. Our results further show that pooling of DNA replicates did not significantly alter diversity patterns, although a small number of rare species was lost. Finally, our results confirm high variation in species detection between PCR replicates, especially for the detection of rare species. These results contribute to create reliable, time and cost efficient metabarcoding protocols for the characterization of macrobenthos.
Collapse
|
10
|
Klunder L, van Bleijswijk JDL, Kleine Schaars L, van der Veer HW, Luttikhuizen PC, Bijleveld AI. Quantification of marine benthic communities with metabarcoding. Mol Ecol Resour 2021; 22:1043-1054. [PMID: 34687591 PMCID: PMC9298412 DOI: 10.1111/1755-0998.13536] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 10/12/2021] [Indexed: 01/02/2023]
Abstract
DNA metabarcoding methods have been implemented in studies aimed at detecting and quantifying marine benthic biodiversity. In such surveys, universal barcodes are amplified and sequenced from environmental DNA. To quantify biodiversity with DNA metabarcoding, a relation between the number of DNA sequences of a species and its biomass and/or the abundance is required. However, this relationship is complicated by many factors, and it is often unknown. In this study, we validate estimates of biomass and abundance from molecular approaches with those from the traditional morphological approach. Abundance and biomass were quantified from 126 samples of benthic intertidal mudflat using traditional morphological approaches and compared with frequency of occurrence and relative read abundance estimates from a molecular approach. A relationship between biomass and relative read abundance was found for two widely dispersed annelid taxa (Pygospio and Scoloplos). None of the other taxons, however, showed such a relationship. We discuss how quantification of abundance and biomass using molecular approaches are hampered by the ecology of DNA i.e. all the processes that determine the amount of DNA in the environment, including the ecology of the benthic species as well as the compositional nature of sequencing data.
Collapse
Affiliation(s)
- Lise Klunder
- Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research, AB Den Burg Texel, The Netherlands.,Marine Evolution and Conservation, Groningen Institute of Life Sciences, University of Groningen, CC Groningen, The Netherlands
| | - Judith D L van Bleijswijk
- Department of Marine Microbiology and Biogeochemistry, NIOZ Royal Netherlands Institute for Sea Research, AB Den Burg Texel, The Netherlands
| | - Loran Kleine Schaars
- Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research, AB Den Burg Texel, The Netherlands
| | - Henk W van der Veer
- Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research, AB Den Burg Texel, The Netherlands
| | - Pieternella C Luttikhuizen
- Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research, AB Den Burg Texel, The Netherlands
| | - Allert I Bijleveld
- Department of Coastal Systems, NIOZ Royal Netherlands Institute for Sea Research, AB Den Burg Texel, The Netherlands
| |
Collapse
|
11
|
Cordier T, Alonso‐Sáez L, Apothéloz‐Perret‐Gentil L, Aylagas E, Bohan DA, Bouchez A, Chariton A, Creer S, Frühe L, Keck F, Keeley N, Laroche O, Leese F, Pochon X, Stoeck T, Pawlowski J, Lanzén A. Ecosystems monitoring powered by environmental genomics: A review of current strategies with an implementation roadmap. Mol Ecol 2021; 30:2937-2958. [PMID: 32416615 PMCID: PMC8358956 DOI: 10.1111/mec.15472] [Citation(s) in RCA: 84] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 04/25/2020] [Accepted: 05/06/2020] [Indexed: 01/02/2023]
Abstract
A decade after environmental scientists integrated high-throughput sequencing technologies in their toolbox, the genomics-based monitoring of anthropogenic impacts on the biodiversity and functioning of ecosystems is yet to be implemented by regulatory frameworks. Despite the broadly acknowledged potential of environmental genomics to this end, technical limitations and conceptual issues still stand in the way of its broad application by end-users. In addition, the multiplicity of potential implementation strategies may contribute to a perception that the routine application of this methodology is premature or "in development", hence restraining regulators from binding these tools into legal frameworks. Here, we review recent implementations of environmental genomics-based methods, applied to the biomonitoring of ecosystems. By taking a general overview, without narrowing our perspective to particular habitats or groups of organisms, this paper aims to compare, review and discuss the strengths and limitations of four general implementation strategies of environmental genomics for monitoring: (a) Taxonomy-based analyses focused on identification of known bioindicators or described taxa; (b) De novo bioindicator analyses; (c) Structural community metrics including inferred ecological networks; and (d) Functional community metrics (metagenomics or metatranscriptomics). We emphasise the utility of the three latter strategies to integrate meiofauna and microorganisms that are not traditionally utilised in biomonitoring because of difficult taxonomic identification. Finally, we propose a roadmap for the implementation of environmental genomics into routine monitoring programmes that leverage recent analytical advancements, while pointing out current limitations and future research needs.
Collapse
Affiliation(s)
- Tristan Cordier
- Department of Genetics and EvolutionScience IIIUniversity of GenevaGenevaSwitzerland
| | - Laura Alonso‐Sáez
- AZTIMarine ResearchBasque Research and Technology Alliance (BRTA)Spain
| | | | - Eva Aylagas
- Red Sea Research Center (RSRC)Biological and Environmental Sciences and Engineering (BESE)King Abdullah University of Science and Technology (KAUST)ThuwalSaudi Arabia
| | - David A. Bohan
- AgroécologieINRAEUniversity of BourgogneUniversity Bourgogne Franche‐ComtéDijonFrance
| | | | - Anthony Chariton
- Department of Biological SciencesMacquarie UniversitySydneyNSWAustralia
| | - Simon Creer
- School of Natural SciencesBangor UniversityGwyneddUK
| | - Larissa Frühe
- Department of EcologyTechnische Universität KaiserslauternKaiserslauternGermany
| | | | - Nigel Keeley
- Benthic Resources and Processes GroupInstitute of Marine ResearchTromsøNorway
| | - Olivier Laroche
- Benthic Resources and Processes GroupInstitute of Marine ResearchTromsøNorway
| | - Florian Leese
- Aquatic Ecosystem ResearchFaculty of BiologyUniversity of Duisburg‐EssenEssenGermany
- Centre for Water and Environmental Research (ZWU)University of Duisburg‐EssenEssenGermany
| | - Xavier Pochon
- Coastal & Freshwater GroupCawthron InstituteNelsonNew Zealand
- Institute of Marine ScienceUniversity of AucklandWarkworthNew Zealand
| | - Thorsten Stoeck
- Department of EcologyTechnische Universität KaiserslauternKaiserslauternGermany
| | - Jan Pawlowski
- Department of Genetics and EvolutionScience IIIUniversity of GenevaGenevaSwitzerland
- ID‐Gene EcodiagnosticsGenevaSwitzerland
- Institute of OceanologyPolish Academy of SciencesSopotPoland
| | - Anders Lanzén
- AZTIMarine ResearchBasque Research and Technology Alliance (BRTA)Spain
- Basque Foundation for ScienceIKERBASQUEBilbaoSpain
| |
Collapse
|
12
|
Hestetun JT, Lanzén A, Dahlgren TG. Grab what you can-an evaluation of spatial replication to decrease heterogeneity in sediment eDNA metabarcoding. PeerJ 2021; 9:e11619. [PMID: 34221724 PMCID: PMC8223902 DOI: 10.7717/peerj.11619] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2021] [Accepted: 05/25/2021] [Indexed: 11/20/2022] Open
Abstract
Environmental DNA methods such as metabarcoding have been suggested as possible alternatives or complements to the current practice of morphology-based diversity assessment for characterizing benthic communities in marine sediment. However, the source volume used in sediment eDNA studies is several magnitudes lower than that used in morphological identification. Here, we used data from a North Sea benthic sampling station to investigate to what extent metabarcoding data is affected by sampling bias and spatial heterogeneity. Using three grab parallels, we sampled five separate sediment samples from each grab. We then made five DNA extraction replicates from each sediment sample. Each extract was amplified targeting both the 18S SSU rRNA V1–V2 region for total eukaryotic composition, and the cytochrome c oxidase subunit I (COI) gene for metazoans only. In both datasets, extract replicates from the same sediment sample were significantly more similar than different samples from the same grab. Further, samples from different grabs were less similar than those from the same grab for 18S. Interestingly, this was not true for COI metabarcoding, where the differences within the same grab were similar to the differences between grabs. We also investigated how much of the total identified richness could be covered by extract replicates, individual sediment samples and all sediment samples from a single grab, as well as the variability of Shannon diversity and, for COI, macrofaunal biotic indices indicating environmental status. These results were largely consistent with the beta diversity findings, and show that total eukaryotic diversity can be well represented using 18S metabarcoding with a manageable number of biological replicates. Based on these results, we strongly recommend the combination of different parts of the surface of single grabs for eDNA extraction as well as several grab replicates, or alternatively box cores or similar. This will dilute the effects of dominating species and increase the coverage of alpha diversity. COI-based metabarcoding consistency was found to be lower compared to 18S, but COI macrofauna-based indices were more consistent than direct COI alpha diversity measures.
Collapse
Affiliation(s)
| | - Anders Lanzén
- Marine Ecosystems Functioning, AZTI, Pasaia, Basque Country, Spain.,IKERBASQUE, Basque Foundation of Science, Bilbao, Basque Country, Spain
| | - Thomas G Dahlgren
- NORCE Environment, Bergen, Vestland, Norway.,Department of Marine Sciences, University of Gothenburg, Gothenburg, Sweden
| |
Collapse
|
13
|
Pearman JK, Thomson-Laing G, Howarth JD, Vandergoes MJ, Thompson L, Rees A, Wood SA. Investigating variability in microbial community composition in replicate environmental DNA samples down lake sediment cores. PLoS One 2021; 16:e0250783. [PMID: 33939728 PMCID: PMC8092796 DOI: 10.1371/journal.pone.0250783] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Accepted: 04/14/2021] [Indexed: 01/04/2023] Open
Abstract
Lake sediments are natural archives that accumulate information on biological communities and their surrounding catchments. Paleolimnology has traditionally focussed on identifying fossilized organisms to reconstruct past environments. In the last decade, the application of molecular methodologies has increased in paleolimnological studies, but further research investigating factors such as sample heterogeneity and DNA degradation are required. In the present study we investigated bacterial community heterogeneity (16S rRNA metabarcoding) within depth slices (1-cm width). Sediment cores were collected from three lakes with differing sediment compositions. Samples were collected from a variety of depths which represent a period of time of approximately 1,200 years. Triplicate samples were collected from each depth slice and bacterial 16S rRNA metabarcoding was undertaken on each sample. Accumulation curves demonstrated that except for the deepest (oldest) slices, the combination of three replicate samples were insufficient to characterise the entire bacterial diversity. However, shared Amplicon Sequence Variants (ASVs) accounted for the majority of the reads in each depth slice (max. shared proportional read abundance 96%, 86%, 65% in the three lakes). Replicates within a depth slice generally clustered together in the Non-metric multidimensional scaling analysis. There was high community dissimilarity in older sediment in one of the cores, which was likely due to the laminae in the sediment core not being horizontal. Given that most paleolimnology studies explore broad scale shifts in community structure rather than seeking to identify rare species, this study demonstrates that a single sample is adequate to characterise shifts in dominant bacterial ASVs.
Collapse
Affiliation(s)
- John K. Pearman
- Coastal and Freshwater Group, Cawthron Institute, Nelson, New Zealand
| | | | | | | | - Lucy Thompson
- Coastal and Freshwater Group, Cawthron Institute, Nelson, New Zealand
| | - Andrew Rees
- Victoria University of Wellington, Wellington, New Zealand
| | - Susanna A. Wood
- Coastal and Freshwater Group, Cawthron Institute, Nelson, New Zealand
| |
Collapse
|
14
|
Li S, Deng Y, Du X, Feng K, Wu Y, He Q, Wang Z, Liu Y, Wang D, Peng X, Zhang Z, Escalas A, Qu Y. Sampling cores and sequencing depths affected the measurement of microbial diversity in soil quadrats. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 767:144966. [PMID: 33636764 DOI: 10.1016/j.scitotenv.2021.144966] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/21/2020] [Revised: 12/26/2020] [Accepted: 12/31/2020] [Indexed: 06/12/2023]
Abstract
Due to the massive quantity and broad phylogeny, an accurate measurement of microbial diversity is highly challenging in soil ecosystems. Initially, the deviation caused by sampling should be adequately considered. Here, we attempted to uncover the effect of different sampling strategies on α diversity measurement of soil prokaryotes. Four 1 m2 sampling quadrats in a typical grassland were thoroughly surveyed through deep 16S rRNA gene sequencing (over 11 million reads per quadrat) with numerous replicates (33 soil sampling cores with total 141 replicates per quadrat). We found the difference in diversity was relatively small when pooling soil cores before and after DNA extraction and sequencing, but they were both superior to a non-pooling strategy. Pooling a small number of soil cores (i.e., 5 or 9) combined with several technical replicates is sufficient to estimate diversities for soil prokaryotes, and there is great flexibility in pooling original samples or data at different experimental steps. Additionally, the distribution of local α diversity varies with sampling core number, sequencing depth, and abundance distribution of the community, especially for high orders of Hill diversity index (i.e., Shannon entropy and inverse Simpson index). For each grassland soil quadrat (1 m2), retaining 100,000 reads after taxonomic clustering might be a realistic option, as these number of reads can efficiently cover the majority of common species in this area. Our findings provide important guidance for soil sampling strategy, and the general results can serve as a basis for further studies.
Collapse
Affiliation(s)
- Shuzhen Li
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
| | - Ye Deng
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China; Institute for Marine Science and Technology, Shandong University, Qingdao, China.
| | - Xiongfeng Du
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Kai Feng
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yueni Wu
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qing He
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhujun Wang
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yangying Liu
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Danrui Wang
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xi Peng
- CAS Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Zhaojing Zhang
- Institute for Marine Science and Technology, Shandong University, Qingdao, China
| | - Arthur Escalas
- MARBEC, Université de Montpellier, CNRS, IRD, IFREMER, Montpellier Cedex 5 34090, France
| | - Yuanyuan Qu
- Key Laboratory of Industrial Ecology and Environmental Engineering (Ministry of Education), School of Environmental Science and Technology, Dalian University of Technology, Dalian, Liaoning 116024, China
| |
Collapse
|
15
|
Integration of DNA-Based Approaches in Aquatic Ecological Assessment Using Benthic Macroinvertebrates. WATER 2021. [DOI: 10.3390/w13030331] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Benthic macroinvertebrates are among the most used biological quality elements for assessing the condition of all types of aquatic ecosystems worldwide (i.e., fresh water, transitional, and marine). Current morphology-based assessments have several limitations that may be circumvented by using DNA-based approaches. Here, we present a comprehensive review of 90 publications on the use of DNA metabarcoding of benthic macroinvertebrates in aquatic ecosystems bioassessments. Metabarcoding of bulk macrozoobenthos has been preferentially used in fresh waters, whereas in marine waters, environmental DNA (eDNA) from sediment and bulk communities from deployed artificial structures has been favored. DNA extraction has been done predominantly through commercial kits, and cytochrome c oxidase subunit I (COI) has been, by far, the most used marker, occasionally combined with others, namely, the 18S rRNA gene. Current limitations include the lack of standardized protocols and broad-coverage primers, the incompleteness of reference libraries, and the inability to reliably extrapolate abundance data. In addition, morphology versus DNA benchmarking of ecological status and biotic indexes are required to allow general worldwide implementation and higher end-user confidence. The increased sensitivity, high throughput, and faster execution of DNA metabarcoding can provide much higher spatial and temporal data resolution on aquatic ecological status, thereby being more responsive to immediate management needs.
Collapse
|
16
|
Duarte S, Vieira PE, Lavrador AS, Costa FO. Status and prospects of marine NIS detection and monitoring through (e)DNA metabarcoding. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 751:141729. [PMID: 32889465 DOI: 10.1016/j.scitotenv.2020.141729] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/25/2020] [Revised: 08/14/2020] [Accepted: 08/14/2020] [Indexed: 06/11/2023]
Abstract
In coastal ecosystems, non-indigenous species (NIS) are recognized as a major threat to biodiversity, ecosystem functioning and socio-economic activities. Here we present a systematic review on the use of metabarcoding for NIS surveillance in marine and coastal ecosystems, through the analysis of 42 publications. Metabarcoding has been mainly applied to environmental DNA (eDNA) from water samples, but also to DNA extracted from bulk organismal samples. DNA extraction kits have been widely used and the 18S rRNA and the COI genes the most employed markers, but less than half of the studies targeted more than one marker loci. The Illumina MiSeq platform has been used in >50% of the publications. Current weaknesses include potential occurrence of false negatives due to the primer-biased or faulty DNA amplification and the incompleteness of reference libraries. This is particularly concerning in the case of NIS surveillance, where proficiency in species level detection is critical. Until these weaknesses are resolved, ideally NIS metabarcoding should be supported by complementary approaches, such as morphological analysis or more targeted molecular approaches (e.g. qPCR, ddPCR). Even so, metabarcoding has already proved to be a highly sensitive tool to detect small organisms or undifferentiated life stages across a wide taxonomic range. In addition, it also seems to be very effective in ballast water management and to improve the spatial and temporal sampling frequency of NIS surveillance in marine and coastal ecosystems. Although specific protocols may be required for species-specific NIS detection, for general monitoring it would be vital to settle on a standard protocol able to generate comparable results among surveillance campaigns and regions of the globe, seeking the best approach for detecting the broadest range of species, while minimizing the chances of a false positive or negative detection.
Collapse
Affiliation(s)
- Sofia Duarte
- Centre of Molecular and Environmental Biology (CBMA), Department of Biology, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal; Institute of Science and Innovation for Bio-Sustainability (IB-S), University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal.
| | - Pedro E Vieira
- Centre of Molecular and Environmental Biology (CBMA), Department of Biology, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal; Institute of Science and Innovation for Bio-Sustainability (IB-S), University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
| | - Ana S Lavrador
- Centre of Molecular and Environmental Biology (CBMA), Department of Biology, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal; Institute of Science and Innovation for Bio-Sustainability (IB-S), University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
| | - Filipe O Costa
- Centre of Molecular and Environmental Biology (CBMA), Department of Biology, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal; Institute of Science and Innovation for Bio-Sustainability (IB-S), University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
| |
Collapse
|
17
|
Mächler E, Walser JC, Altermatt F. Decision-making and best practices for taxonomy-free environmental DNA metabarcoding in biomonitoring using Hill numbers. Mol Ecol 2020; 30:3326-3339. [PMID: 33188644 DOI: 10.1111/mec.15725] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 09/22/2020] [Accepted: 11/02/2020] [Indexed: 12/15/2022]
Abstract
Environmental DNA (eDNA) metabarcoding is raising expectations for biomonitoring of organisms that have hitherto been neglected. To bypass current limitations in taxonomic assignments due to incomplete or erroneous reference databases, taxonomy-free approaches are proposed for biomonitoring at the level of operational taxonomic units (OTUs). This is challenging, because OTUs cannot be annotated and directly compared against classically derived taxonomic data. The application of good stringency treatments to infer the validity of OTUs and clear understanding of the consequences of such treatments is especially relevant for biodiversity assessments. We investigated how common practices of stringency filtering affect eDNA diversity estimates in the statistical framework of Hill numbers. We collected water eDNA samples at 61 sites across a 740-km2 river catchment, reflecting a spatially realistic scenario in biomonitoring. After bioinformatic processing of the data, we studied how different stringency treatments affect conclusions with respect to biodiversity at the catchment and site levels. The applied stringency treatments were based on the consistent appearance of OTUs across filter replicates, a relative abundance cut-off and rarefaction. We detected large differences in diversity estimates when accounting for presence/absence only, such that detected diversity at the catchment scale differed by an order of magnitude between the treatments. These differences disappeared when using stringency treatments with increasing weighting of the OTU abundances. Our study demonstrated the usefulness of Hill numbers for biodiversity analyses and comparisons of eDNA data sets that strongly differ in diversity. We recommend best practice for data stringency filtering for biomonitoring using eDNA.
Collapse
Affiliation(s)
- Elvira Mächler
- Department of Aquatic Ecology, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.,Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Zürich, Switzerland
| | - Jean-Claude Walser
- Federal Institute of Technology (ETH), Zürich, Switzerland.,Genetic Diversity Centre, Zürich, Switzerland
| | - Florian Altermatt
- Department of Aquatic Ecology, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland.,Institute of Evolutionary Biology and Environmental Studies, University of Zurich, Zürich, Switzerland
| |
Collapse
|
18
|
Pearman JK, Chust G, Aylagas E, Villarino E, Watson JR, Chenuil A, Borja A, Cahill AE, Carugati L, Danovaro R, David R, Irigoien X, Mendibil I, Moncheva S, Rodríguez-Ezpeleta N, Uyarra MC, Carvalho S. Pan-regional marine benthic cryptobiome biodiversity patterns revealed by metabarcoding Autonomous Reef Monitoring Structures. Mol Ecol 2020; 29:4882-4897. [PMID: 33063375 DOI: 10.1111/mec.15692] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2019] [Revised: 09/10/2020] [Accepted: 10/08/2020] [Indexed: 01/04/2023]
Abstract
Autonomous Reef Monitoring Structures (ARMS) have been applied worldwide to characterize the critical yet frequently overlooked biodiversity patterns of marine benthic organisms. In order to disentangle the relevance of environmental factors in benthic patterns, here, through standardized metabarcoding protocols, we analyse sessile and mobile (<2 mm) organisms collected using ARMS deployed across six regions with different environmental conditions (3 sites × 3 replicates per region): Baltic, Western Mediterranean, Adriatic, Black and Red Seas, and the Bay of Biscay. A total of 27,473 Amplicon Sequence Variants (ASVs) were observed ranging from 1,404 in the Black Sea to 9,958 in the Red Sea. No ASVs were shared among all regions. The highest number of shared ASVs was between the Western Mediterranean and the Adriatic Sea (116) and Bay of Biscay (115). Relatively high numbers of ASVs (103), mostly associated with the genus Amphibalanus, were also shared between the lower salinity seas (Baltic and Black Seas). We found that compositional differences in spatial patterns of rocky-shore benthos are determined slightly more by dispersal limitation than environmental filtering. Dispersal limitation was similar between sessile and mobile groups, while the sessile group had a larger environmental niche breadth than the mobile group. Further, our study can provide a foundation for future evaluations of biodiversity patterns in the cryptobiome, which can contribute up to 70% of the local biodiversity.
Collapse
Affiliation(s)
- John K Pearman
- Red Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.,Coastal and Freshwater Group, Cawthron Institute, Nelson, New Zealand
| | - Guillem Chust
- AZTI, Basque Research and Technology Alliance (BRTA)-Marine Research, Herrera Kaia, Pasaia (Gipuzkoa), Spain
| | - Eva Aylagas
- Red Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Ernesto Villarino
- AZTI, Basque Research and Technology Alliance (BRTA)-Marine Research, Herrera Kaia, Pasaia (Gipuzkoa), Spain.,College of Earth, Ocean and Atmospheric Sciences, Oregon State University, Corvallis, OR, USA.,Scripps Institution of Oceanography and Section of Ecology, Behavior and Evolution, University of California San Diego, La Jolla, CA, USA
| | - James R Watson
- College of Earth, Ocean and Atmospheric Sciences, Oregon State University, Corvallis, OR, USA
| | - Anne Chenuil
- Institut Méditerranéen de Biodiversité et d'Ecologie Marine et Continentale (IMBE), Aix Marseille Univ, Avignon Université, CNRS, IRD, IMBE, Marseille, France
| | - Angel Borja
- IKERBASQUE, Basque Foundation for Science, Bilbao, Spain
| | | | - Laura Carugati
- Dipartimento di Scienze della Vita e dell'Ambiente, Università Politecnica delle Marche, Ancona, Italy
| | - Roberto Danovaro
- Dipartimento di Scienze della Vita e dell'Ambiente, Università Politecnica delle Marche, Ancona, Italy
| | - Romain David
- Institut Méditerranéen de Biodiversité et d'Ecologie Marine et Continentale (IMBE), Aix Marseille Univ, Avignon Université, CNRS, IRD, IMBE, Marseille, France
| | - Xabier Irigoien
- AZTI, Basque Research and Technology Alliance (BRTA)-Marine Research, Herrera Kaia, Pasaia (Gipuzkoa), Spain.,IKERBASQUE, Basque Foundation for Science, Bilbao, Spain
| | - Iñaki Mendibil
- AZTI, Basque Research and Technology Alliance (BRTA)-Marine Research, Herrera Kaia, Pasaia (Gipuzkoa), Spain
| | | | - Naiara Rodríguez-Ezpeleta
- AZTI, Basque Research and Technology Alliance (BRTA)-Marine Research, Herrera Kaia, Pasaia (Gipuzkoa), Spain
| | - Maria C Uyarra
- IKERBASQUE, Basque Foundation for Science, Bilbao, Spain
| | - Susana Carvalho
- Red Sea Research Center, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| |
Collapse
|
19
|
Pearman JK, Keeley NB, Wood SA, Laroche O, Zaiko A, Thomson-Laing G, Biessy L, Atalah J, Pochon X. Comparing sediment DNA extraction methods for assessing organic enrichment associated with marine aquaculture. PeerJ 2020; 8:e10231. [PMID: 33194417 PMCID: PMC7597629 DOI: 10.7717/peerj.10231] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2020] [Accepted: 10/02/2020] [Indexed: 12/21/2022] Open
Abstract
Marine sediments contain a high diversity of micro- and macro-organisms which are important in the functioning of biogeochemical cycles. Traditionally, anthropogenic perturbation has been investigated by identifying macro-organism responses along gradients. Environmental DNA (eDNA) analyses have recently been advocated as a rapid and cost-effective approach to measuring ecological impacts and efforts are underway to incorporate eDNA tools into monitoring. Before these methods can replace or complement existing methods, robustness and repeatability of each analytical step has to be demonstrated. One area that requires further investigation is the selection of sediment DNA extraction method. Environmental DNA sediment samples were obtained along a disturbance gradient adjacent to a Chinook (Oncorhynchus tshawytscha) salmon farm in Otanerau Bay, New Zealand. DNA was extracted using four extraction kits (Qiagen DNeasy PowerSoil, Qiagen DNeasy PowerSoil Pro, Qiagen RNeasy PowerSoil Total RNA/DNA extraction/elution and Favorgen FavorPrep Soil DNA Isolation Midi Kit) and three sediment volumes (0.25, 2, and 5 g). Prokaryotic and eukaryotic communities were amplified using primers targeting the 16S and 18S ribosomal RNA genes, respectively, and were sequenced on an Illumina MiSeq. Diversity and community composition estimates were obtained from each extraction kit, as well as their relative performance in established metabarcoding biotic indices. Differences were observed in the quality and quantity of the extracted DNA amongst kits with the two Qiagen DNeasy PowerSoil kits performing best. Significant differences were observed in both prokaryotes and eukaryotes (p < 0.001) richness among kits. A small proportion of amplicon sequence variants (ASVs) were shared amongst the kits (~3%) although these shared ASVs accounted for the majority of sequence reads (prokaryotes: 59.9%, eukaryotes: 67.2%). Differences were observed in the richness and relative abundance of taxonomic classes revealed with each kit. Multivariate analysis showed that there was a significant interaction between "distance" from the farm and "kit" in explaining the composition of the communities, with the distance from the farm being a stronger determinant of community composition. Comparison of the kits against the bacterial and eukaryotic metabarcoding biotic index suggested that all kits showed similar patterns along the environmental gradient. Overall, we advocate for the use of Qiagen DNeasy PowerSoil kits for use when characterizing prokaryotic and eukaryotic eDNA from marine farm sediments. We base this conclusion on the higher DNA quality values and richness achieved with these kits compared to the other kits/amounts investigated in this study. The additional advantage of the PowerSoil Kits is that DNA extractions can be performed using an extractor robot, offering additional standardization and reproducibility of results.
Collapse
Affiliation(s)
- John K. Pearman
- Coastal and Freshwater Group, Cawthron Institute, Nelson, New Zealand
| | | | - Susanna A. Wood
- Coastal and Freshwater Group, Cawthron Institute, Nelson, New Zealand
| | | | - Anastasija Zaiko
- Coastal and Freshwater Group, Cawthron Institute, Nelson, New Zealand
- Institute of Marine Science, University of Auckland, Auckland, New Zealand
| | | | - Laura Biessy
- Coastal and Freshwater Group, Cawthron Institute, Nelson, New Zealand
| | - Javier Atalah
- Coastal and Freshwater Group, Cawthron Institute, Nelson, New Zealand
| | - Xavier Pochon
- Coastal and Freshwater Group, Cawthron Institute, Nelson, New Zealand
- Institute of Marine Science, University of Auckland, Auckland, New Zealand
| |
Collapse
|
20
|
Thakur IS, Roy D. Environmental DNA and RNA as Records of Human Exposome, Including Biotic/Abiotic Exposures and Its Implications in the Assessment of the Role of Environment in Chronic Diseases. Int J Mol Sci 2020; 21:ijms21144879. [PMID: 32664313 PMCID: PMC7402316 DOI: 10.3390/ijms21144879] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Revised: 07/05/2020] [Accepted: 07/08/2020] [Indexed: 12/21/2022] Open
Abstract
Most of environment-related diseases often result from multiple exposures of abiotic and/or biotic stressors across various life stages. The application of environmental DNA/RNA (eDNA/eRNA) to advance ecological understanding has been very successfully used. However, the eminent extension of eDNA/eRNA-based approaches to estimate human exposure to biotic and/or abiotic environmental stressors to understand the environmental causes of chronic diseases has yet to start. Here, we introduce the potential of eDNA/eRNA for bio-monitoring of human exposome and health effects in the real environmental or occupational settings. This review is the first of its kind to discuss how eDNA/eRNA-based approaches can be applied for assessing the human exposome. eDNA-based exposome assessment is expected to rely on our ability to capture the genome- and epigenome-wide signatures left behind by individuals in the indoor and outdoor physical spaces through shedding, excreting, etc. Records of eDNA/eRNA exposome may reflect the early appearance, persistence, and presence of biotic and/or abiotic-exposure-mediated modifications in these nucleic acid molecules. Functional genome- and epigenome-wide mapping of eDNA offer great promise to help elucidate the human exposome. Assessment of longitudinal exposure to physical, biological, and chemical agents present in the environment through eDNA/eRNA may enable the building of an integrative causal dynamic stochastic model to estimate environmental causes of human health deficits. This model is expected to incorporate key biological pathways and gene networks linking individuals, their geographic locations, and random multi-hits of environmental factors. Development and validation of monitoring of eDNA/eRNA exposome should seriously be considered to introduce into safety and risk assessment and as surrogates of chronic exposure to environmental stressors. Here we highlight that eDNA/eRNA reflecting longitudinal exposure of both biotic and abiotic environmental stressors may serve as records of human exposome and discuss its application as molecular tools for understanding the toxicogenomics basis of environment-related health deficits.
Collapse
Affiliation(s)
- Indu Shekhar Thakur
- School of Environmental Sciences, Jawaharlal Nehru University, New Delhi 110067, India
- Correspondence: (I.S.T.); (D.R.); Tel.: +91-2670-4321 (I.S.T.); +1-30-5348-1694 (D.R.)
| | - Deodutta Roy
- Department of Environmental Health Sciences, Florida International University, Miami, FL 33199, USA
- Correspondence: (I.S.T.); (D.R.); Tel.: +91-2670-4321 (I.S.T.); +1-30-5348-1694 (D.R.)
| |
Collapse
|
21
|
Lanzén A, Mendibil I, Borja Á, Alonso-Sáez L. A microbial mandala for environmental monitoring: Predicting multiple impacts on estuarine prokaryote communities of the Bay of Biscay. Mol Ecol 2020; 30:2969-2987. [PMID: 32479653 DOI: 10.1111/mec.15489] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2019] [Revised: 04/08/2020] [Accepted: 05/15/2020] [Indexed: 02/06/2023]
Abstract
Routine monitoring of benthic biodiversity is critical for managing and understanding the anthropogenic impacts on marine, transitional and freshwater ecosystems. However, traditional reliance on morphological identification generally makes it cost-prohibitive to increase the scale of monitoring programmes. Metabarcoding of environmental DNA has clear potential to overcome many of the problems associated with traditional monitoring, with prokaryotes and other microorganisms showing particular promise as bioindicators. However, due to the limited knowledge regarding the ecological roles and responses of environmental microorganisms to different types of pressure, the use of de novo approaches is necessary. Here, we use two such approaches for the prediction of multiple impacts present in estuaries and coastal areas of the Bay of Biscay based on microbial communities. The first (Random Forests) is a machine learning method while the second (Threshold Indicator Taxa Analysis and quantile regression splines) is based on de novo identification of bioindicators. Our results show that both methods overlap considerably in the indicator taxa identified, but less for sequence variants. Both methods also perform well in spite of the complexity of the studied ecosystem, providing predictive models with strong correlation to reference values and fair to good agreement with ecological status groups. The ability to predict several specific types of pressure is especially appealing. The cross-validated models and biotic indices developed can be directly applied to predict the environmental status of estuaries in the same geographical region, although more work is needed to evaluate and improve them for use in new regions or habitats.
Collapse
Affiliation(s)
- Anders Lanzén
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Gipuzkoa, Spain.,IKERBASQUE, Basque Foundation for Science, Bilbao, Bizkaia, Spain
| | - Iñaki Mendibil
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Gipuzkoa, Spain
| | - Ángel Borja
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Gipuzkoa, Spain
| | - Laura Alonso-Sáez
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Gipuzkoa, Spain
| |
Collapse
|
22
|
Reñé A, Auladell A, Reboul G, Moreira D, López-García P. Performance of the melting seawater-ice elution method on the metabarcoding characterization of benthic protist communities. ENVIRONMENTAL MICROBIOLOGY REPORTS 2020; 12:314-323. [PMID: 32157805 DOI: 10.1111/1758-2229.12834] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Revised: 02/18/2020] [Accepted: 03/07/2020] [Indexed: 06/10/2023]
Abstract
Massive amplicon sequencing approaches to characterize the diversity of microbial eukaryotes in sediments are scarce and controls about the effects introduced by different methods to recover DNA are lacking. In this study, we compare the performance of the melting seawater-ice elution method on the characterization of benthic protist communities by 18S rRNA gene metabarcoding with results obtained by direct cell lysis and DNA purification from sediments. Even though the most abundant operational taxonomic units were recovered by both methods, eluted samples yielded higher richness than samples undergoing direct lysis. Both treatments allowed recovering the same taxonomic groups, although we observed significant differences in terms of relative abundance for some of them. Dinoflagellata and Ciliophora strongly dominated the community in eluted samples (> 80% reads). In directly lysed samples, they only represented 37%, while groups like Fungi and Ochrophytes were highly represented (> 20% reads respectively). Our results show that the elution process yields a higher protist richness estimation, most likely as a result of the higher sample volume used to recover organisms as compared to commonly used volumes for direct benthic DNA purification. Motile groups, like dinoflagellates and ciliates, are logically more enriched during the elution process.
Collapse
Affiliation(s)
- Albert Reñé
- Unité d'Ecologie, Systématique et Evolution, CNRS, Université Paris-Saclay, AgroParisTech, 91400, Orsay, France
- Departament de Biologia Marina i Oceanografia, Institut de Ciències del Mar (CSIC), Barcelona, Catalonia, Spain
| | - Adrià Auladell
- Departament de Biologia Marina i Oceanografia, Institut de Ciències del Mar (CSIC), Barcelona, Catalonia, Spain
| | - Guillaume Reboul
- Unité d'Ecologie, Systématique et Evolution, CNRS, Université Paris-Saclay, AgroParisTech, 91400, Orsay, France
| | - David Moreira
- Unité d'Ecologie, Systématique et Evolution, CNRS, Université Paris-Saclay, AgroParisTech, 91400, Orsay, France
| | - Purificación López-García
- Unité d'Ecologie, Systématique et Evolution, CNRS, Université Paris-Saclay, AgroParisTech, 91400, Orsay, France
| |
Collapse
|
23
|
Mishra S, Yang X, Singh HB. Evidence for positive response of soil bacterial community structure and functions to biosynthesized silver nanoparticles: An approach to conquer nanotoxicity? JOURNAL OF ENVIRONMENTAL MANAGEMENT 2020; 253:109584. [PMID: 31634747 DOI: 10.1016/j.jenvman.2019.109584] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/02/2019] [Revised: 09/09/2019] [Accepted: 09/15/2019] [Indexed: 05/02/2023]
Abstract
The environmental impacts of biosynthesized nanoparticles on the soil bacterial community assemblage and functions are not sufficiently understood. Given the broad application of silver nanoparticles (AgNPs), the present study aims to reveal the effects of biosynthesized AgNPs (~12 nm) on the soil bacterial community structure and functions. Specifically, we used a quantitative real-time PCR (qPCR) approach to quantify the relative abundance of bacterial taxon/group and representative functional genes (AOA, AOB, NirK, NirS, NosZ, and PhoD). Results showed high relative abundance of Actinobacteria (1.53 × 107, p = 0.000) followed by Alphaproteobacteria (1.18 × 106, p = 0.000) and Betaproteobacteria (2.01 × 106, p = 0.000) in the soil exposed to biosynthesized AgNPs (100 mg/kg soil) after 30 days of treatment. Bacteroidetes group was observed to be negatively affected by AgNPs treatment. In the case of functional genes abundance, more pronounced impact was observed after 30 days of application. The biosynthesized AgNPs treatment accounted for significant increase in the relative abundance of all targeted functional genes except NirS. We conclude that the biosynthesized AgNPs did not cause toxic effects on nitrifiers, denitrifiers and organic phosphorus metabolizing bacterial community. While AgNO3 caused higher toxicity in the soil bacterial community structure and function. Based on our findings, we propose two key research questions for further studies; (i) is there any adaptation strategy or silver resistance embraced by the soil microbial community? and (ii) are biosynthesized nanoparticles environmentally safe and do not pose any risk to the soil microbial community? There is a necessity to address these questions to predict the environmental safety of biosynthesized AgNPs and to apply appropriate soil management policies to avoid nanotoxicity. Since this study provides preliminary evidence for the positive response of the soil bacterial community structure and functions to biosynthesized AgNPs, additional investigations under different soil conditions with varying soil physico-chemical properties are required to authenticate their environmental impact.
Collapse
Affiliation(s)
- Sandhya Mishra
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Yunnan, 666303, China.
| | - Xiaodong Yang
- CAS Key Laboratory of Tropical Forest Ecology, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Menglun, Yunnan, 666303, China.
| | - Harikesh Bahadur Singh
- Department of Mycology and Plant Pathology, Institute of Agricultural Sciences, Banaras Hindu University, Varanasi, 221005, India.
| |
Collapse
|
24
|
Hajibabaei M, Porter TM, Robinson CV, Baird DJ, Shokralla S, Wright MTG. Watered-down biodiversity? A comparison of metabarcoding results from DNA extracted from matched water and bulk tissue biomonitoring samples. PLoS One 2019; 14:e0225409. [PMID: 31830042 PMCID: PMC6907778 DOI: 10.1371/journal.pone.0225409] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Accepted: 10/31/2019] [Indexed: 12/31/2022] Open
Abstract
Biomonitoring programs have evolved beyond the sole use of morphological identification to determine the composition of invertebrate species assemblages in an array of ecosystems. The application of DNA metabarcoding in freshwater systems for assessing benthic invertebrate communities is now being employed to generate biological information for environmental monitoring and assessment. A possible shift from the extraction of DNA from net-collected bulk benthic samples to its extraction directly from water samples for metabarcoding has generated considerable interest based on the assumption that taxon detectability is comparable when using either method. To test this, we studied paired water and benthos samples from a taxon-rich wetland complex, to investigate differences in the detection of arthropod taxa from each sample type. We demonstrate that metabarcoding of DNA extracted directly from water samples is a poor surrogate for DNA extracted from bulk benthic samples, focusing on key bioindicator groups. Our results continue to support the use of bulk benthic samples as a basis for metabarcoding-based biomonitoring, with nearly three times greater total richness in benthic samples compared to water samples. We also demonstrated that few arthropod taxa are shared between collection methods, with a notable lack of key bioindicator EPTO taxa in the water samples. Although species coverage in water could likely be improved through increased sample replication and/or increased sequencing depth, benthic samples remain the most representative, cost-effective method of generating aquatic compositional information via metabarcoding.
Collapse
Affiliation(s)
- Mehrdad Hajibabaei
- Centre for Biodiversity Genomics and Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada
- * E-mail:
| | - Teresita M. Porter
- Centre for Biodiversity Genomics and Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada
- Great Lakes Forestry Centre, Natural Resources Canada, Sault Ste. Marie, Ontario, Canada
| | - Chloe V. Robinson
- Centre for Biodiversity Genomics and Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada
| | - Donald J. Baird
- Environment and Climate Change Canada @ Canadian Rivers Institute, Department of Biology, University of New Brunswick, Fredericton, New Brunswick, Canada
| | - Shadi Shokralla
- Centre for Biodiversity Genomics and Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada
| | - Michael T. G. Wright
- Centre for Biodiversity Genomics and Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada
| |
Collapse
|
25
|
Braukmann TWA, Ivanova NV, Prosser SWJ, Elbrecht V, Steinke D, Ratnasingham S, de Waard JR, Sones JE, Zakharov EV, Hebert PDN. Metabarcoding a diverse arthropod mock community. Mol Ecol Resour 2019; 19:711-727. [PMID: 30779309 PMCID: PMC6850013 DOI: 10.1111/1755-0998.13008] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2018] [Accepted: 02/13/2019] [Indexed: 12/31/2022]
Abstract
Although DNA metabarcoding is an attractive approach for monitoring biodiversity, it is often difficult to detect all the species present in a bulk sample. In particular, sequence recovery for a given species depends on its biomass and mitome copy number as well as the primer set employed for PCR. To examine these variables, we constructed a mock community of terrestrial arthropods comprised of 374 species. We used this community to examine how species recovery was impacted when amplicon pools were constructed in four ways. The first two protocols involved the construction of bulk DNA extracts from different body segments (Bulk Abdomen, Bulk Leg). The other protocols involved the production of DNA extracts from single legs which were then merged prior to PCR (Composite Leg) or PCR‐amplified separately (Single Leg) and then pooled. The amplicons generated by these four treatments were then sequenced on three platforms (Illumina MiSeq, Ion Torrent PGM and Ion Torrent S5). The choice of sequencing platform did not substantially influence species recovery, although the Miseq delivered the highest sequence quality. As expected, species recovery was most efficient from the Single Leg treatment because amplicon abundance varied little among taxa. Among the three treatments where PCR occurred after pooling, the Bulk Abdomen treatment produced a more uniform read abundance than the Bulk Leg or Composite Leg treatment. Primer choice also influenced species recovery and evenness. Our results reveal how variation in protocols can have substantial impacts on perceived diversity unless sequencing coverage is sufficient to reach an asymptote.
Collapse
Affiliation(s)
| | - Natalia V Ivanova
- Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada
| | - Sean W J Prosser
- Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada
| | - Vasco Elbrecht
- Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada
| | - Dirk Steinke
- Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada.,Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada
| | | | - Jeremy R de Waard
- Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada.,School of Environmental Sciences, University of Guelph, Guelph, Ontario, Canada
| | - Jayme E Sones
- Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada
| | - Evgeny V Zakharov
- Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada
| | - Paul D N Hebert
- Centre for Biodiversity Genomics, University of Guelph, Guelph, Ontario, Canada.,Department of Integrative Biology, University of Guelph, Guelph, Ontario, Canada
| |
Collapse
|
26
|
Cordier T, Lanzén A, Apothéloz-Perret-Gentil L, Stoeck T, Pawlowski J. Embracing Environmental Genomics and Machine Learning for Routine Biomonitoring. Trends Microbiol 2019; 27:387-397. [DOI: 10.1016/j.tim.2018.10.012] [Citation(s) in RCA: 54] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 10/17/2018] [Accepted: 10/30/2018] [Indexed: 01/28/2023]
|
27
|
Past, present, and future perspectives of environmental DNA (eDNA) metabarcoding: A systematic review in methods, monitoring, and applications of global eDNA. Glob Ecol Conserv 2019. [DOI: 10.1016/j.gecco.2019.e00547] [Citation(s) in RCA: 303] [Impact Index Per Article: 60.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
|
28
|
Development and testing of an 18S rRNA phylogenetic microarray for marine sediments. J Microbiol Methods 2018; 154:95-106. [DOI: 10.1016/j.mimet.2018.10.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2018] [Revised: 04/09/2018] [Accepted: 10/08/2018] [Indexed: 11/22/2022]
|
29
|
Pawlowski J, Kelly-Quinn M, Altermatt F, Apothéloz-Perret-Gentil L, Beja P, Boggero A, Borja A, Bouchez A, Cordier T, Domaizon I, Feio MJ, Filipe AF, Fornaroli R, Graf W, Herder J, van der Hoorn B, Iwan Jones J, Sagova-Mareckova M, Moritz C, Barquín J, Piggott JJ, Pinna M, Rimet F, Rinkevich B, Sousa-Santos C, Specchia V, Trobajo R, Vasselon V, Vitecek S, Zimmerman J, Weigand A, Leese F, Kahlert M. The future of biotic indices in the ecogenomic era: Integrating (e)DNA metabarcoding in biological assessment of aquatic ecosystems. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 637-638:1295-1310. [PMID: 29801222 DOI: 10.1016/j.scitotenv.2018.05.002] [Citation(s) in RCA: 197] [Impact Index Per Article: 32.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2018] [Revised: 04/11/2018] [Accepted: 05/01/2018] [Indexed: 05/05/2023]
Abstract
The bioassessment of aquatic ecosystems is currently based on various biotic indices that use the occurrence and/or abundance of selected taxonomic groups to define ecological status. These conventional indices have some limitations, often related to difficulties in morphological identification of bioindicator taxa. Recent development of DNA barcoding and metabarcoding could potentially alleviate some of these limitations, by using DNA sequences instead of morphology to identify organisms and to characterize a given ecosystem. In this paper, we review the structure of conventional biotic indices, and we present the results of pilot metabarcoding studies using environmental DNA to infer biotic indices. We discuss the main advantages and pitfalls of metabarcoding approaches to assess parameters such as richness, abundance, taxonomic composition and species ecological values, to be used for calculation of biotic indices. We present some future developments to fully exploit the potential of metabarcoding data and improve the accuracy and precision of their analysis. We also propose some recommendations for the future integration of DNA metabarcoding to routine biomonitoring programs.
Collapse
Affiliation(s)
- Jan Pawlowski
- Department of Genetics and Evolution, University of Geneva, CH-1211 Geneva, Switzerland.
| | - Mary Kelly-Quinn
- School of Biology & Environmental Science, University College Dublin, Ireland
| | - Florian Altermatt
- Eawag, Swiss Federal Institute of Aquatic Science and Technology, Department of Aquatic Ecology, Überlandstrasse 133, CH-8600 Dübendorf, Switzerland(;) Department of Evolutionary Biology and Environmental Studies, University of Zurich, Winterthurerstrasse 190, CH-8057 Zürich, Switzerland
| | | | - Pedro Beja
- CIBIO/InBIO-Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Rua Padre Armando Quintas, 4485-601 Vairão, Portugal; CEABN/InBIO-Centro de Estudos Ambientais 'Prof. Baeta Neves', Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal
| | - Angela Boggero
- LifeWatch, Italy and CNR-Institute of Ecosystem Study (CNR-ISE), Largo Tonolli 50, 28922 Verbania Pallanza, Italy
| | - Angel Borja
- AZTI, Marine Research Division, Herrera Kaia, Portualdea s/n, 20110 Pasaia, Spain
| | - Agnès Bouchez
- INRA, UMR42 CARRTEL, 75bis Avenue de Corzent, 74203 Thonon les Bains Cedex, France
| | - Tristan Cordier
- Department of Genetics and Evolution, University of Geneva, CH-1211 Geneva, Switzerland
| | - Isabelle Domaizon
- INRA, UMR42 CARRTEL, 75bis Avenue de Corzent, 74203 Thonon les Bains Cedex, France
| | - Maria Joao Feio
- Marine and Environmental Sciences Centre, Faculty of Sciences and Technology, Department of Life Sciences, University of Coimbra, Portugal
| | - Ana Filipa Filipe
- CIBIO/InBIO-Centro de Investigação em Biodiversidade e Recursos Genéticos, Universidade do Porto, Campus Agrário de Vairão, Rua Padre Armando Quintas, 4485-601 Vairão, Portugal; CEABN/InBIO-Centro de Estudos Ambientais 'Prof. Baeta Neves', Instituto Superior de Agronomia, Universidade de Lisboa, Tapada da Ajuda, 1349-017 Lisboa, Portugal
| | - Riccardo Fornaroli
- University of Milano Bicocca, Department of Earth and Environmental Sciences(DISAT), Piazza della Scienza 1,20126 Milano, Italy
| | - Wolfram Graf
- Institute of Hydrobiology and Aquatic Ecosystem Management (IHG), 1180 Vienna, Austria
| | - Jelger Herder
- RAVON, Postbus 1413, Nijmegen 6501 BK, The Netherlands
| | | | - J Iwan Jones
- School of Biological and Chemical Sciences, Queen Mary University of London, London, UK
| | - Marketa Sagova-Mareckova
- Crop Research Institute, Epidemiology and Ecology of Microorganisms, Drnovska 507, 16106 Praha 6, Czechia
| | - Christian Moritz
- ARGE Limnologie GesmbH, Hunoldstraße 14, 6020 Innsbruck, Austria
| | - Jose Barquín
- Environmental Hydraulics Institute "IHCantabria", Universidad de Cantabria, C/ Isabel Torres n°15, Parque Científico y Tecnológico de Cantabria, 39011 Santander, Spain
| | - Jeremy J Piggott
- Department of Zoology, School of Natural Sciences, Trinity College Dublin, the University of Dublin, College Green, Dublin 2, Ireland; Department of Zoology, University of Otago, 340 Great King Street, Dunedin 9016, New Zealand
| | - Maurizio Pinna
- Department of Biological and Environmental Sciences and Technologies, University of Salento, S.P. Lecce-Monteroni, 73100 Lecce, Italy
| | - Frederic Rimet
- INRA, UMR42 CARRTEL, 75bis Avenue de Corzent, 74203 Thonon les Bains Cedex, France
| | - Buki Rinkevich
- Israel Oceanographic and Limnological Research, Tel- Shikmona, Haifa 31080, Israel
| | - Carla Sousa-Santos
- MARE - Marine and Environmental Sciences Centre, ISPA - Instituto Universitário, Rua Jardim do Tabaco 34, 1149-041 Lisboa, Portugal
| | - Valeria Specchia
- Department of Biological and Environmental Sciences and Technologies, University of Salento, S.P. Lecce-Monteroni, 73100 Lecce, Italy
| | - Rosa Trobajo
- IRTA, Institute of Agriculture and Food Research and Technology, Marine and Continental Waters Program, Carretera Poble Nou Km 5.5, E-43540 St. Carles de la Ràpita, Catalonia, Spain
| | - Valentin Vasselon
- INRA, UMR42 CARRTEL, 75bis Avenue de Corzent, 74203 Thonon les Bains Cedex, France
| | - Simon Vitecek
- Department of Limnology and Bio-Oceanography, Faculty of Life Sciences, University of Vienna, Althanstraße 14, 1090 Vienna, Austria; Senckenberg Research Institute and Natural History Museum, Senckenberganlage 25, 60325 Frankfurt am Main, Germany
| | - Jonas Zimmerman
- Botanic Garden and Botanical Museum Berlin-Dahlem, Freie Universität Berlin, Königin-Luise-Str. 6-8, 14195 Berlin, Germany
| | - Alexander Weigand
- University of Duisburg-Essen, Aquatic Ecosystem Research, Universitaetsstrasse 5, 45141 Essen, Germany; Musée National d'Histoire Naturelle, 25 Rue Münster, 2160 Luxembourg, Luxembourg
| | - Florian Leese
- University of Duisburg-Essen, Aquatic Ecosystem Research, Universitaetsstrasse 5, 45141 Essen, Germany
| | - Maria Kahlert
- Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment, PO Box 7050, SE - 750 07 Uppsala, Sweden
| |
Collapse
|
30
|
Sample size effects on the assessment of eukaryotic diversity and community structure in aquatic sediments using high-throughput sequencing. Sci Rep 2018; 8:11737. [PMID: 30082688 PMCID: PMC6078945 DOI: 10.1038/s41598-018-30179-1] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2018] [Accepted: 07/23/2018] [Indexed: 11/30/2022] Open
Abstract
Understanding how biodiversity changes in time and space is vital to assess the effects of environmental change on benthic ecosystems. Due to the limitations of morphological methods, there has been a rapid expansion in the application of high-throughput sequencing methods to study benthic eukaryotic communities. However, the effect of sample size and small-scale spatial variation on the assessment of benthic eukaryotic diversity is still not well understood. Here, we investigate the effect of different sample volumes in the genetic assessment of benthic metazoan and non-metazoan eukaryotic community composition. Accordingly, DNA was extracted from five different cumulative sediment volumes comprising 100% of the top 2 cm of five benthic sampling cores, and used as template for Ilumina MiSeq sequencing of 18 S rRNA amplicons. Sample volumes strongly impacted diversity metrics for both metazoans and non-metazoan eukaryotes. Beta-diversity of treatments using smaller sample volumes was significantly different from the beta-diversity of the 100% sampled area. Overall our findings indicate that sample volumes of 0.2 g (1% of the sampled area) are insufficient to account for spatial heterogeneity at small spatial scales, and that relatively large percentages of sediment core samples are needed for obtaining robust diversity measurement of both metazoan and non-metazoan eukaryotes.
Collapse
|
31
|
Cordier T, Forster D, Dufresne Y, Martins CIM, Stoeck T, Pawlowski J. Supervised machine learning outperforms taxonomy-based environmental DNA metabarcoding applied to biomonitoring. Mol Ecol Resour 2018; 18:1381-1391. [DOI: 10.1111/1755-0998.12926] [Citation(s) in RCA: 83] [Impact Index Per Article: 13.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Revised: 06/14/2018] [Accepted: 06/25/2018] [Indexed: 11/27/2022]
Affiliation(s)
- Tristan Cordier
- Department of Genetics and Evolution; University of Geneva; Geneva Switzerland
| | - Dominik Forster
- Ecology Group; University of Kaiserslautern; Kaiserslautern Germany
| | - Yoann Dufresne
- Department of Genetics and Evolution; University of Geneva; Geneva Switzerland
- Institut Pasteur - Hub of Bioinformatics and Biostatistics - C3BI; USR 3756 IP CNRS; Paris France
| | | | - Thorsten Stoeck
- Ecology Group; University of Kaiserslautern; Kaiserslautern Germany
| | - Jan Pawlowski
- Department of Genetics and Evolution; University of Geneva; Geneva Switzerland
- ID-Gene ecodiagnostics, Ltd; Plan-les-Ouates Switzerland
| |
Collapse
|
32
|
Li J, Lawson Handley LJ, Read DS, Hänfling B. The effect of filtration method on the efficiency of environmental DNA capture and quantification via metabarcoding. Mol Ecol Resour 2018; 18:1102-1114. [PMID: 29766663 DOI: 10.1111/1755-0998.12899] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2018] [Revised: 04/10/2018] [Accepted: 04/19/2018] [Indexed: 11/28/2022]
Abstract
Environmental DNA (eDNA) is a promising tool for rapid and noninvasive biodiversity monitoring. eDNA density is low in environmental samples, and a capture method, such as filtration, is often required to concentrate eDNA for downstream analyses. In this study, six treatments, with differing filter types and pore sizes for eDNA capture, were compared for their efficiency and accuracy to assess fish community structure with known fish abundance and biomass via eDNA metabarcoding. Our results showed that different filters (with the exception of 20-μm large-pore filters) were broadly consistent in their DNA capture ability. The 0.45-μm filters performed the best in terms of total DNA yield, probability of species detection, repeatability within pond and consistency between ponds. However performance of 0.45-μm filters was only marginally better than for 0.8-μm filters, while filtration time was significantly longer. Given this trade-off, the 0.8-μm filter is the optimal pore size of membrane filter for turbid, eutrophic and high fish density ponds analysed here. The 0.45-μm Sterivex enclosed filters performed reasonably well and are suitable in situations where on-site filtration is required. Finally, prefilters are applied only if absolutely essential for reducing the filtration time or increasing the throughput volume of the capture filters. In summary, we found encouraging similarity in the results obtained from different filtration methods, but the optimal pore size of filter or filter type might strongly depend on the water type under study.
Collapse
Affiliation(s)
- Jianlong Li
- Evolutionary and Environmental Genomics Group (@EvoHull), School of Environmental Sciences, University of Hull (UoH), Hull, UK
| | - Lori-Jayne Lawson Handley
- Evolutionary and Environmental Genomics Group (@EvoHull), School of Environmental Sciences, University of Hull (UoH), Hull, UK
| | - Daniel S Read
- Centre for Ecology & Hydrology (CEH), Wallingford, Oxfordshire, UK
| | - Bernd Hänfling
- Evolutionary and Environmental Genomics Group (@EvoHull), School of Environmental Sciences, University of Hull (UoH), Hull, UK
| |
Collapse
|
33
|
Lanzén A, Lekang K, Jonassen I, Thompson EM, Troedsson C. Correction: DNA extraction replicates improve diversity and compositional dissimilarity in metabarcoding of eukaryotes in marine sediments. PLoS One 2018; 13:e0192337. [PMID: 29381769 PMCID: PMC5790282 DOI: 10.1371/journal.pone.0192337] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022] Open
|
34
|
Corse E, Meglécz E, Archambaud G, Ardisson M, Martin JF, Tougard C, Chappaz R, Dubut V. A from-benchtop-to-desktop workflow for validating HTS data and for taxonomic identification in diet metabarcoding studies. Mol Ecol Resour 2017; 17:e146-e159. [PMID: 28776936 DOI: 10.1111/1755-0998.12703] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Revised: 07/17/2017] [Accepted: 07/25/2017] [Indexed: 11/30/2022]
Abstract
The main objective of this work was to develop and validate a robust and reliable "from-benchtop-to-desktop" metabarcoding workflow to investigate the diet of invertebrate-eaters. We applied our workflow to faecal DNA samples of an invertebrate-eating fish species. A fragment of the cytochrome c oxidase I (COI) gene was amplified by combining two minibarcoding primer sets to maximize the taxonomic coverage. Amplicons were sequenced by an Illumina MiSeq platform. We developed a filtering approach based on a series of nonarbitrary thresholds established from control samples and from molecular replicates to address the elimination of cross-contamination, PCR/sequencing errors and mistagging artefacts. This resulted in a conservative and informative metabarcoding data set. We developed a taxonomic assignment procedure that combines different approaches and that allowed the identification of ~75% of invertebrate COI variants to the species level. Moreover, based on the diversity of the variants, we introduced a semiquantitative statistic in our diet study, the minimum number of individuals, which is based on the number of distinct variants in each sample. The metabarcoding approach described in this article may guide future diet studies that aim to produce robust data sets associated with a fine and accurate identification of prey items.
Collapse
Affiliation(s)
- Emmanuel Corse
- Aix Marseille Univ, Avignon Univ, CNRS, IRD, UMR IMBE, Marseille, France
| | - Emese Meglécz
- Aix Marseille Univ, Avignon Univ, CNRS, IRD, UMR IMBE, Marseille, France
| | - Gaït Archambaud
- Irstea, UR RECOVER, Equipe FRESCHCO, Aix-en-Provence, France
| | | | | | - Christelle Tougard
- CNRS, Université de Montpellier, IRD, CIRAD, EPHE, UMR ISEM, Montpellier, France
| | - Rémi Chappaz
- Aix Marseille Univ, Avignon Univ, CNRS, IRD, UMR IMBE, Marseille, France
| | - Vincent Dubut
- Aix Marseille Univ, Avignon Univ, CNRS, IRD, UMR IMBE, Marseille, France
| |
Collapse
|
35
|
Borrell YJ, Miralles L, Do Huu H, Mohammed-Geba K, Garcia-Vazquez E. DNA in a bottle-Rapid metabarcoding survey for early alerts of invasive species in ports. PLoS One 2017; 12:e0183347. [PMID: 28873426 PMCID: PMC5584753 DOI: 10.1371/journal.pone.0183347] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2017] [Accepted: 08/02/2017] [Indexed: 11/18/2022] Open
Abstract
Biota monitoring in ports is increasingly needed for biosecurity reasons and safeguarding marine biodiversity from biological invasion. Present and future international biosecurity directives can be accomplished only if the biota acquired by maritime traffic in ports is controlled. Methodologies for biota inventory are diverse and now rely principally on extensive and labor-intensive sampling along with taxonomic identification by experts. In this study, we employed an extremely simplified environmental DNA (eDNA) sampling methodology from only three 1-L bottles of water per port, followed by metabarcoding (high-throughput sequencing and DNA-based species identification) using 18S rDNA and Cytochrome oxidase I as genetic barcodes. Eight Bay of Biscay ports with available inventory of fouling invertebrates were employed as a case study. Despite minimal sampling efforts, three invasive invertebrates were detected: the barnacle Austrominius modestus, the tubeworm Ficopomatus enigmaticus and the polychaete Polydora triglanda. The same species have been previously found from visual and DNA barcoding (genetic identification of individuals) surveys in the same ports. The current costs of visual surveys, conventional DNA barcoding and this simplified metabarcoding protocol were compared. The results encourage the use of metabarcoding for early biosecurity alerts.
Collapse
Affiliation(s)
- Yaisel J. Borrell
- Department of Functional Biology, University of Oviedo, Oviedo, Spain
| | - Laura Miralles
- Department of Functional Biology, University of Oviedo, Oviedo, Spain
| | - Hoang Do Huu
- Department of Aquaculture Biotechnology, Institute of Oceanography, Vietnam Academy of Science and Technology, Nha Trang, Vietnam
| | - Khaled Mohammed-Geba
- Genetic Engineering and Molecular Biology Division, Faculty of Science, Menoufia University, Egypt
| | | |
Collapse
|