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Bell KL, Campos M, Hoffmann BD, Encinas-Viso F, Hunter GC, Webber BL. Environmental DNA methods for biosecurity and invasion biology in terrestrial ecosystems: Progress, pitfalls, and prospects. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:171810. [PMID: 38513869 DOI: 10.1016/j.scitotenv.2024.171810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2023] [Revised: 03/13/2024] [Accepted: 03/16/2024] [Indexed: 03/23/2024]
Abstract
Analysis of environmental DNA (eDNA) enables indirect detection of species without the need to directly observe and sample them. For biosecurity and invasion biology, eDNA-based methods are useful to address biological invasions at all phases, from detecting arrivals to confirming eradication of past invasions. We conducted a systematic review of the literature and found that in biosecurity and invasion biology, eDNA has primarily been used to detect new incursions and monitor spread in marine and freshwater ecosystems, with much slower uptake in terrestrial ecosystems, reflecting a broader trend common to the usage of eDNA tools. In terrestrial ecosystems, eDNA research has mostly focussed on the use of eDNA metabarcoding to characterise biodiversity, rather than targeting biosecurity threats or non-native populations. We discuss how eDNA-based methods are being applied to terrestrial ecosystems for biosecurity and managing non-native populations at each phase of the invasion continuum: transport, introduction, establishment, and spread; across different management options: containment, control, and eradication; and for detecting the impact of non-native organisms. Finally, we address some of the current technical issues and caveats of eDNA-based methods, particularly for terrestrial ecosystems, and how these might be solved. As eDNA-based methods improve, they will play an increasingly important role in the early detection and adaptive management of biological invasions, and the implementation of effective biosecurity controls.
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Affiliation(s)
- Karen L Bell
- CSIRO Health & Biosecurity, Floreat, Western Australia 6014, Australia; School of Biological Sciences, The University of Western Australia, Crawley, Western Australia 6009, Australia.
| | - Mariana Campos
- CSIRO Health & Biosecurity, Floreat, Western Australia 6014, Australia; Harry Butler Institute, Murdoch University, Murdoch, Western Australia 6150, Australia
| | | | - Francisco Encinas-Viso
- CSIRO Centre of Australian National Biodiversity Research, Black Mountain, Australian Capital Territory 2601, Australia
| | - Gavin C Hunter
- CSIRO Health & Biosecurity, Black Mountain, Australian Capital Territory 2601, Australia
| | - Bruce L Webber
- CSIRO Health & Biosecurity, Floreat, Western Australia 6014, Australia; School of Biological Sciences, The University of Western Australia, Crawley, Western Australia 6009, Australia
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2
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Gillespie RG, Bik HM, Hickerson MJ, Krehenwinkel H, Overcast I, Rominger AJ. Insights into Ecological & Evolutionary Processes via community metabarcoding. Mol Ecol 2023; 32:6083-6092. [PMID: 37999451 DOI: 10.1111/mec.17208] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 10/05/2023] [Accepted: 11/03/2023] [Indexed: 11/25/2023]
Affiliation(s)
- Rosemary G Gillespie
- Department of Environmental Science, Policy, and Management, University of California, Berkeley, California, USA
| | - Holly M Bik
- Department of Marine Sciences and Institute of Bioinformatics, University of Georgia, Athens, Georgia, USA
| | - Michael J Hickerson
- Graduate Center of the City University of New York, New York City, New York, USA
- Biology Department, City College of New York, New York City, New York, USA
- Division of Invertebrate Zoology, American Museum of Natural History, New York City, New York, USA
| | | | - Isaac Overcast
- School of Biology and Ecology, University of Maine, Orono, Maine, USA
- Department of Vertebrate Zoology, Division of Invertebrate Zoology, American Museum of Natural History, New York City, New York, USA
- California Academy of Sciences, San Francisco, California, USA
| | - Andrew J Rominger
- School of Biology and Ecology, University of Maine, Orono, Maine, USA
- School of Life Sciences, University of Hawai'i at Mānoa, Honolulu, Hawaii, USA
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3
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Emerson BC, Borges PAV, Cardoso P, Convey P, deWaard JR, Economo EP, Gillespie RG, Kennedy S, Krehenwinkel H, Meier R, Roderick GK, Strasberg D, Thébaud C, Traveset A, Creedy TJ, Meramveliotakis E, Noguerales V, Overcast I, Morlon H, Papadopoulou A, Vogler AP, Arribas P, Andújar C. Collective and harmonized high throughput barcoding of insular arthropod biodiversity: Toward a Genomic Observatories Network for islands. Mol Ecol 2023; 32:6161-6176. [PMID: 36156326 DOI: 10.1111/mec.16683] [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: 03/14/2022] [Revised: 08/11/2022] [Accepted: 08/19/2022] [Indexed: 12/01/2022]
Abstract
Current understanding of ecological and evolutionary processes underlying island biodiversity is heavily shaped by empirical data from plants and birds, although arthropods comprise the overwhelming majority of known animal species, and as such can provide key insights into processes governing biodiversity. Novel high throughput sequencing (HTS) approaches are now emerging as powerful tools to overcome limitations in the availability of arthropod biodiversity data, and hence provide insights into these processes. Here, we explored how these tools might be most effectively exploited for comprehensive and comparable inventory and monitoring of insular arthropod biodiversity. We first reviewed the strengths, limitations and potential synergies among existing approaches of high throughput barcode sequencing. We considered how this could be complemented with deep learning approaches applied to image analysis to study arthropod biodiversity. We then explored how these approaches could be implemented within the framework of an island Genomic Observatories Network (iGON) for the advancement of fundamental and applied understanding of island biodiversity. To this end, we identified seven island biology themes at the interface of ecology, evolution and conservation biology, within which collective and harmonized efforts in HTS arthropod inventory could yield significant advances in island biodiversity research.
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Affiliation(s)
- Brent C Emerson
- Island Ecology and Evolution Research Group, Institute of Natural Products and Agrobiology (IPNA-CSIC), San Cristóbal de la Laguna, Spain
| | - Paulo A V Borges
- Centre for Ecology, Evolution and Environmental Changes (cE3c)/Azorean Biodiversity Group, Faculty of Agricultural Sciences and Environment, CHANGE - Global Change and Sustainability Institute, University of the Azores, Angra do Heroísmo, Portugal
| | - Pedro Cardoso
- Centre for Ecology, Evolution and Environmental Changes (cE3c)/Azorean Biodiversity Group, Faculty of Agricultural Sciences and Environment, CHANGE - Global Change and Sustainability Institute, University of the Azores, Angra do Heroísmo, Portugal
- Laboratory for Integrative Biodiversity Research (LIBRe), Finnish Museum of Natural History Luomus, University of Helsinki, Helsinki, Finland
| | - Peter Convey
- British Antarctic Survey, NERC, Cambridge, UK
- Department of Zoology, University of Johannesburg, Auckland Park, South Africa
| | - Jeremy R deWaard
- Centre for Biodiversity Genomics, University of Guelph, Guelph, Canada
- School of Environmental Sciences, University of Guelph, Guelph, Canada
| | - Evan P Economo
- Biodiversity and Biocomplexity Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
- Radcliffe Institute for Advanced Study, Harvard University, Cambridge, Massachusetts, USA
| | - Rosemary G Gillespie
- Department of Environmental Science, Policy and Management, University of California, Berkeley, Berkeley, California, USA
| | - Susan Kennedy
- Biodiversity and Biocomplexity Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
| | | | - Rudolf Meier
- Center for Integrative Biodiversity Discovery, Leibniz Institute for Evolution and Biodiversity Science, Museum für Naturkunde, Berlin, Germany
- Department of Biological Sciences, National University of Singapore, Singapore City, Singapore
| | - George K Roderick
- Department of Environmental Science, Policy and Management, University of California, Berkeley, Berkeley, California, USA
| | | | - Christophe Thébaud
- UMR 5174 EDB Laboratoire Évolution & Diversité Biologique, Université Paul Sabatier Toulouse III, CNRS, IRD, Toulouse, France
| | - Anna Traveset
- Global Change Research Group, Mediterranean Institut of Advanced Studies (CSIC-UIB), Mallorca, Spain
| | - Thomas J Creedy
- Department of Life Sciences, Natural History Museum, London, UK
| | | | - Víctor Noguerales
- Island Ecology and Evolution Research Group, Institute of Natural Products and Agrobiology (IPNA-CSIC), San Cristóbal de la Laguna, Spain
| | - Isaac Overcast
- Département de Biologie, École normale supérieure, Institut de Biologie de l'ENS (IBENS), CNRS, INSERM, Université PSL, Paris, France
| | - Hélène Morlon
- Département de Biologie, École normale supérieure, Institut de Biologie de l'ENS (IBENS), CNRS, INSERM, Université PSL, Paris, France
| | - Anna Papadopoulou
- Department of Biological Sciences, University of Cyprus, Nicosia, Cyprus
| | - Alfried P Vogler
- Department of Life Sciences, Natural History Museum, London, UK
- Department of Life Sciences, Imperial College London, London, UK
| | - Paula Arribas
- Island Ecology and Evolution Research Group, Institute of Natural Products and Agrobiology (IPNA-CSIC), San Cristóbal de la Laguna, Spain
| | - Carmelo Andújar
- Island Ecology and Evolution Research Group, Institute of Natural Products and Agrobiology (IPNA-CSIC), San Cristóbal de la Laguna, Spain
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4
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Graham NR, Krehenwinkel H, Lim JY, Staniczenko P, Callaghan J, Andersen JC, Gruner DS, Gillespie RG. Ecological network structure in response to community assembly processes over evolutionary time. Mol Ecol 2023; 32:6489-6506. [PMID: 36738159 DOI: 10.1111/mec.16873] [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: 03/18/2022] [Revised: 01/07/2023] [Accepted: 01/25/2023] [Indexed: 02/05/2023]
Abstract
The dynamic structure of ecological communities results from interactions among taxa that change with shifts in species composition in space and time. However, our ability to study the interplay of ecological and evolutionary processes on community assembly remains relatively unexplored due to the difficulty of measuring community structure over long temporal scales. Here, we made use of a geological chronosequence across the Hawaiian Islands, representing 50 years to 4.15 million years of ecosystem development, to sample 11 communities of arthropods and their associated plant taxa using semiquantitative DNA metabarcoding. We then examined how ecological communities changed with community age by calculating quantitative network statistics for bipartite networks of arthropod-plant associations. The average number of interactions per species (linkage density), ratio of plant to arthropod species (vulnerability) and uniformity of energy flow (interaction evenness) increased significantly in concert with community age. The index of specializationH 2 ' has a curvilinear relationship with community age. Our analyses suggest that younger communities are characterized by fewer but stronger interactions, while biotic associations become more even and diverse as communities mature. These shifts in structure became especially prominent on East Maui (~0.5 million years old) and older volcanos, after enough time had elapsed for adaptation and specialization to act on populations in situ. Such natural progression of specialization during community assembly is probably impeded by the rapid infiltration of non-native species, with special risk to younger or more recently disturbed communities that are composed of fewer specialized relationships.
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Affiliation(s)
- Natalie R Graham
- Department of Environmental Sciences Policy and Management, University of California Berkeley, Berkeley, California, USA
| | - Henrik Krehenwinkel
- Department of Biogeography, Faculty of Regional and Environmental Sciences, Trier University, Trier, Germany
| | - Jun Ying Lim
- Department of Biological Sciences, National University of Singapore, Singapore
| | - Phillip Staniczenko
- Department of Biology, Brooklyn College, City University of New York, New York, New York, USA
| | - Jackson Callaghan
- Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, San Diego, California, USA
| | - Jeremy C Andersen
- Department of Environmental Conservation, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | - Daniel S Gruner
- Department of Entomology, University of Maryland, College Park, Maryland, USA
| | - Rosemary G Gillespie
- Department of Environmental Sciences Policy and Management, University of California Berkeley, Berkeley, California, USA
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5
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Kennedy S, Calaor J, Zurápiti Y, Hans J, Yoshimura M, Choo J, Andersen JC, Callaghan J, Roderick GK, Krehenwinkel H, Rogers H, Gillespie RG, Economo EP. Richness and resilience in the Pacific: DNA metabarcoding enables parallelized evaluation of biogeographic patterns. Mol Ecol 2023; 32:6710-6723. [PMID: 35729790 DOI: 10.1111/mec.16575] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 06/04/2022] [Accepted: 06/09/2022] [Indexed: 11/29/2022]
Abstract
Islands make up a large proportion of Earth's biodiversity, yet are also some of the most sensitive systems to environmental perturbation. Biogeographic theory predicts that geologic age, area, and isolation typically drive islands' diversity patterns, and thus potentially impact non-native spread and community homogenization across island systems. One limitation in testing such predictions has been the difficulty of performing comprehensive inventories of island biotas and distinguishing native from introduced taxa. Here, we use DNA metabarcoding and statistical modelling as a high throughput method to survey community-wide arthropod richness, the proportion of native and non-native species, and the incursion of non-natives into primary habitats on three archipelagos in the Pacific - the Ryukyus, the Marianas and Hawaii - which vary in age, isolation and area. Diversity patterns largely match expectations based on island biogeography theory, with the oldest and most geographically connected archipelago, the Ryukyus, showing the highest taxonomic richness and lowest proportion of introduced species. Moreover, we find evidence that forest habitats are more resilient to incursions of non-natives in the Ryukyus than in the less taxonomically rich archipelagos. Surprisingly, we do not find evidence for biotic homogenization across these three archipelagos: the assemblage of non-native species on each island is highly distinct. Our study demonstrates the potential of DNA metabarcoding to facilitate rapid estimation of biogeographic patterns, the spread of non-native species, and the resilience of ecosystems.
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Affiliation(s)
- Susan Kennedy
- Biodiversity and Biocomplexity Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
- Department of Biogeography, Trier University, Trier, Germany
| | - Jerilyn Calaor
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, Iowa, USA
| | - Yazmín Zurápiti
- Biodiversity and Biocomplexity Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
| | - Julian Hans
- Department of Biogeography, Trier University, Trier, Germany
| | - Masashi Yoshimura
- Environmental Research Support Section, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
| | - Juanita Choo
- Science and Technology Group, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
| | - Jeremy C Andersen
- Department of Environmental Conservation, University of Massachusetts Amherst, Amherst, Massachusetts, USA
| | - Jackson Callaghan
- Department of Integrative, Structural and Computational Biology, The Scripps Research Institute, La Jolla, California, USA
| | - George K Roderick
- Department of Environmental Science, Policy and Management, University of California, Berkeley, California, USA
| | | | - Haldre Rogers
- Department of Ecology, Evolution, and Organismal Biology, Iowa State University, Ames, Iowa, USA
| | - Rosemary G Gillespie
- Department of Environmental Science, Policy and Management, University of California, Berkeley, California, USA
| | - Evan P Economo
- Biodiversity and Biocomplexity Unit, Okinawa Institute of Science and Technology Graduate University, Okinawa, Japan
- Radcliffe Institute for Advanced Study, Harvard University, Cambridge, Massachusetts, USA
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6
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Hutchins L, Mc Cartney A, Graham N, Gillespie R, Guzman A. Arthropods are kin: Operationalizing Indigenous data sovereignty to respectfully utilize genomic data from Indigenous lands. Mol Ecol Resour 2023. [PMID: 37455607 DOI: 10.1111/1755-0998.13822] [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: 01/09/2023] [Revised: 05/22/2023] [Accepted: 05/30/2023] [Indexed: 07/18/2023]
Abstract
Indigenous peoples have cultivated biodiverse agroecosystems since time immemorial. The rise of metagenomics and high-throughput sequencing technologies in biodiversity studies has rapidly expanded the scale of data collection from these lands. A respectful approach to the data life cycle grounded in the sovereignty of indigenous communities is imperative to not perpetuate harm. In this paper, we operationalize an indigenous data sovereignty (IDS) framework to outline realistic considerations for genomic data that span data collection, governance, and communication. As a case study for this framework, we use arthropod genomic data collected from diversified and simplified farm sites close to and far from natural habitats within a historic Kānaka 'Ōiwi (Indigenous Hawaiian) agroecosystem. Diversified sites had the highest Operational Taxonomic Unit (OTU) richness for native and introduced arthropods. There may be a significant spillover effect between forest and farm sites, as farm sites near a natural habitat had higher OTU richness than those farther away. We also provide evidence that management factors such as the number of Polynesian crops cultivated may drive arthropod community composition. Through this case study, we emphasize the context-dependent opportunities and challenges for operationalizing IDS by utilizing participatory research methods, expanding novel data management tools through the Local Contexts Hub, and developing and nurturing community partnerships-all while highlighting the potential of agroecosystems for arthropod conservation. Overall, the workflow and the example presented here can help researchers take tangible steps to achieve IDS, which often seems elusive with the expanding use of genomic data.
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Affiliation(s)
- Leke Hutchins
- Department of Environmental Sciences Policy and Management, University of California Berkeley, Berkeley, California, USA
| | - Ann Mc Cartney
- UC Santa Cruz Genomics Institute, University of California Santa Cruz, Santa Cruz, California, USA
| | - Natalie Graham
- Department of Environmental Sciences Policy and Management, University of California Berkeley, Berkeley, California, USA
| | - Rosemary Gillespie
- Department of Environmental Sciences Policy and Management, University of California Berkeley, Berkeley, California, USA
| | - Aidee Guzman
- Department of Ecology and Evolutionary Biology, University of California Irvine, Irvine, California, USA
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7
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Shimbori EM, Querino RB, Costa VA, Zucchi RA. Taxonomy and Biological Control: New Challenges in an Old Relationship. NEOTROPICAL ENTOMOLOGY 2023; 52:351-372. [PMID: 36656493 PMCID: PMC9851596 DOI: 10.1007/s13744-023-01025-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Accepted: 01/03/2023] [Indexed: 05/13/2023]
Abstract
Biological control and taxonomy are continuously developing fields with remarkable impacts on society. At least 80 years of literature have documented this relationship, which remains essentially the same in its mutualistic nature, as well as in its major challenges. From the perspective of Brazilian taxonomists, we discuss the impacts of important scientific and social developments that directly affect research in these areas, posing new challenges for this lasting relationship. The increasing restrictions and concerns regarding the international transit of organisms require improvements in research related to risk assessment for exotic biological control agents and also stimulate prospecting within the native biota. In our view, this is a positive situation that can foster a closer relationship between taxonomists and applied entomologists, as well as local surveys and taxonomic studies that are necessary before new programs and agents can be implemented. We discuss the essential role of molecular biology in this context, as an iconic example of the synergy between applied sciences and natural history. As our society comes to need safer and more sustainable solutions for food security and the biodiversity crisis, scientific progress will build upon this integration, where biological control and taxonomy play an essential role.
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Affiliation(s)
- Eduardo Mitio Shimbori
- Departamento de Entomologia e Acarologia, Escola Superior de Agricultura “Luiz de Queiroz” (ESALQ), Universidade de São Paulo (USP), São Paulo Piracicaba, Brazil
| | - Ranyse Barbosa Querino
- Empresa Brasileira de Pesquisa Agropecuária, Embrapa Cerrados, Planaltina, Distrito Federal Brazil
| | - Valmir Antonio Costa
- Centro Avançado de Pesquisa e Desenvolvimento em Sanidade Agropecuária, Instituto Biológico, São Paulo Campinas, Brazil
| | - Roberto Antonio Zucchi
- Departamento de Entomologia e Acarologia, Escola Superior de Agricultura “Luiz de Queiroz” (ESALQ), Universidade de São Paulo (USP), São Paulo Piracicaba, Brazil
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8
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Andújar C, Arribas P, López H, Arjona Y, Pérez-Delgado A, Oromí P, Vogler AP, Emerson BC. Community assembly and metaphylogeography of soil biodiversity: insights from haplotype-level community DNA metabarcoding within an oceanic island. Mol Ecol 2022; 31:4078-4094. [PMID: 35665980 PMCID: PMC9544582 DOI: 10.1111/mec.16560] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2021] [Revised: 05/04/2022] [Accepted: 05/24/2022] [Indexed: 11/26/2022]
Abstract
Most of our understanding of island diversity comes from the study of aboveground systems, while the patterns and processes of diversification and community assembly for belowground biotas remain poorly understood. Here, we take advantage of a relatively young and dynamic oceanic island to advance our understanding of ecoevolutionary processes driving community assembly within soil mesofauna. Using whole organism community DNA (wocDNA) metabarcoding and the recently developed metaMATE pipeline, we have generated spatially explicit and reliable haplotype‐level DNA sequence data for soil mesofaunal assemblages sampled across the four main habitats within the island of Tenerife. Community ecological and metaphylogeographic analyses have been performed at multiple levels of genetic similarity, from haplotypes to species and supraspecific groupings. Broadly consistent patterns of local‐scale species richness across different insular habitats have been found, whereas local insular richness is lower than in continental settings. Our results reveal an important role for niche conservatism as a driver of insular community assembly of soil mesofauna, with only limited evidence for habitat shifts promoting diversification. Furthermore, support is found for a fundamental role of habitat in the assembly of soil mesofauna, where habitat specialism is mainly due to colonization and the establishment of preadapted species. Hierarchical patterns of distance decay at the community level and metaphylogeographical analyses support a pattern of geographic structuring over limited spatial scales, from the level of haplotypes through to species and lineages, as expected for taxa with strong dispersal limitations. Our results demonstrate the potential for wocDNA metabarcoding to advance our understanding of biodiversity.
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Affiliation(s)
- Carmelo Andújar
- Instituto de Productos Naturales y Agrobiología (IPNA-CSIC), La Laguna Tenerife, Canary Islands, Spain
| | - Paula Arribas
- Instituto de Productos Naturales y Agrobiología (IPNA-CSIC), La Laguna Tenerife, Canary Islands, Spain
| | - Heriberto López
- Instituto de Productos Naturales y Agrobiología (IPNA-CSIC), La Laguna Tenerife, Canary Islands, Spain
| | - Yurena Arjona
- Instituto de Productos Naturales y Agrobiología (IPNA-CSIC), La Laguna Tenerife, Canary Islands, Spain
| | - Antonio Pérez-Delgado
- Instituto de Productos Naturales y Agrobiología (IPNA-CSIC), La Laguna Tenerife, Canary Islands, Spain.,School of Doctoral and Postgraduate Studies, University of La Laguna, La Laguna Tenerife, Canary Islands, Spain
| | - Pedro Oromí
- Department of Animal Biology, Edaphology and Geology, University of La Laguna, La Laguna Tenerife, Canary Islands, Spain
| | - Alfried P Vogler
- Department of Life Sciences, Natural History Museum, Cromwell Road, London, UK.,Department of Life Sciences, Imperial College London Silwood Park Campus, Ascot, UK
| | - Brent C Emerson
- Instituto de Productos Naturales y Agrobiología (IPNA-CSIC), La Laguna Tenerife, Canary Islands, Spain
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9
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Roslin T, Somervuo P, Pentinsaari M, Hebert PDN, Agda J, Ahlroth P, Anttonen P, Aspi J, Blagoev G, Blanco S, Chan D, Clayhills T, deWaard J, deWaard S, Elliot T, Elo R, Haapala S, Helve E, Ilmonen J, Hirvonen P, Ho C, Itämies J, Ivanov V, Jakovlev J, Juslén A, Jussila R, Kahanpää J, Kaila L, Jari-PekkaKaitila, Kakko A, Kakko I, Karhu A, Karjalainen S, Kjaerandsen J, Koskinen J, Laasonen EM, Laasonen L, Laine E, Lampila P, Levesque-Beaudin V, Lu L, Lähteenaro M, Majuri P, Malmberg S, Manjunath R, Martikainen P, Mattila J, McKeown J, Metsälä P, Miklasevskaja M, Miller M, Miskie R, Muinonen A, Veli-MattiMukkala, Naik S, Nikolova N, Nupponen K, Ovaskainen O, Österblad I, Paasivirta L, Pajunen T, Parkko P, Paukkunen J, Penttinen R, Perez K, Pohjoismäki J, Prosser S, Raekunnas M, Rahulan M, Rannisto M, Ratnasingham S, Raukko P, Rinne A, Rintala T, Miranda Romo S, Salmela J, Salokannel J, Savolainen R, Schulman L, Sihvonen P, Soliman D, Sones J, Steinke C, Ståhls G, Tabell J, Tiusanen M, Várkonyi G, Vesterinen EJ, Viitanen E, Vikberg V, Viitasaari M, Vilen J, Warne C, Wei C, Winqvist K, Zakharov E, Mutanen M. A molecular-based identification resource for the arthropods of Finland. Mol Ecol Resour 2021; 22:803-822. [PMID: 34562055 DOI: 10.1111/1755-0998.13510] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
To associate specimens identified by molecular characters to other biological knowledge, we need reference sequences annotated by Linnaean taxonomy. In this study, we (1) report the creation of a comprehensive reference library of DNA barcodes for the arthropods of an entire country (Finland), (2) publish this library, and (3) deliver a new identification tool for insects and spiders, as based on this resource. The reference library contains mtDNA COI barcodes for 11,275 (43%) of 26,437 arthropod species known from Finland, including 10,811 (45%) of 23,956 insect species. To quantify the improvement in identification accuracy enabled by the current reference library, we ran 1000 Finnish insect and spider species through the Barcode of Life Data system (BOLD) identification engine. Of these, 91% were correctly assigned to a unique species when compared to the new reference library alone, 85% were correctly identified when compared to BOLD with the new material included, and 75% with the new material excluded. To capitalize on this resource, we used the new reference material to train a probabilistic taxonomic assignment tool, FinPROTAX, scoring high success. For the full-length barcode region, the accuracy of taxonomic assignments at the level of classes, orders, families, subfamilies, tribes, genera, and species reached 99.9%, 99.9%, 99.8%, 99.7%, 99.4%, 96.8%, and 88.5%, respectively. The FinBOL arthropod reference library and FinPROTAX are available through the Finnish Biodiversity Information Facility (www.laji.fi) at https://laji.fi/en/theme/protax. Overall, the FinBOL investment represents a massive capacity-transfer from the taxonomic community of Finland to all sectors of society.
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Affiliation(s)
- Tomas Roslin
- Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.,Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland
| | - Panu Somervuo
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
| | - Mikko Pentinsaari
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Paul D N Hebert
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Jireh Agda
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Petri Ahlroth
- Finnish Environment Institute (SYKE), Helsinki, Finland
| | - Perttu Anttonen
- Institute of Biology/Geobotany and Botanical Garden, Martin Luther University Halle-Wittenberg, Halle, Germany.,German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany
| | - Jouni Aspi
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
| | - Gergin Blagoev
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Santiago Blanco
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Dean Chan
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | - Jeremy deWaard
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Stephanie deWaard
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Tyler Elliot
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Riikka Elo
- Zoological Museum, Biodiversity Unit, University of Turku, Turku, Finland.,Zoology Unit, Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
| | | | | | - Jari Ilmonen
- Metsähallitus, Parks & Wildlife Finland, Vantaa, Finland
| | | | - Chris Ho
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | - Vladislav Ivanov
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
| | | | - Aino Juslén
- Finnish Museum of Natural History 'Luomus', University of Helsinki, Helsinki, Finland
| | | | - Jere Kahanpää
- Zoology Unit, Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
| | - Lauri Kaila
- Zoology Unit, Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
| | | | | | - Iiro Kakko
- Forssa Museum of Natural History, Forssa, Finland
| | | | | | - Jostein Kjaerandsen
- The Arctic University Museum of Norway, UiT -The Arctic University of Norway, Langnes, Tromsø, Norway
| | - Janne Koskinen
- Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland.,Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland
| | | | | | | | | | | | - Liuqiong Lu
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Meri Lähteenaro
- Division of Systematics, Department of Zoology, Stockholm University, Stockholm, Sweden.,Department of Entomology, Swedish Museum of Natural History, Stockholm, Sweden
| | | | | | - Ramya Manjunath
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | | | - Jaclyn McKeown
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | | | - Meredith Miller
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Renee Miskie
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | | | - Suresh Naik
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Nadia Nikolova
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | - Otso Ovaskainen
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland.,Department of Biological and Environmental Science, University of Jyväskylä, Jyväskylä, Finland.,Department of Biology, Centre for Biodiversity Dynamics, Norwegian University of Science and Technology, Trondheim, Norway
| | | | | | - Timo Pajunen
- Finnish Museum of Natural History 'Luomus', University of Helsinki, Helsinki, Finland
| | | | - Juho Paukkunen
- Zoology Unit, Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
| | - Ritva Penttinen
- Zoological Museum, Biodiversity Unit, University of Turku, Turku, Finland.,Zoology Unit, Finnish Museum of Natural History, University of Helsinki, Helsinki, Finland
| | - Kate Perez
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Jaakko Pohjoismäki
- Department of Environmental and Biological Sciences, University of Eastern Finland, Joensuu, Finland
| | - Sean Prosser
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | - Miduna Rahulan
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Meeri Rannisto
- Finnish Museum of Natural History 'Luomus', University of Helsinki, Helsinki, Finland
| | | | | | | | | | | | - Jukka Salmela
- Regional Museum of Lapland, Arktikum, Rovaniemi, Finland.,Arctic Centre, University of Lapland, Rovaniemi, Finland
| | | | - Riitta Savolainen
- Organismal and Evolutionary Biology Research Programme, University of Helsinki, Helsinki, Finland
| | - Leif Schulman
- Finnish Environment Institute (SYKE), Helsinki, Finland.,Finnish Museum of Natural History 'Luomus', University of Helsinki, Helsinki, Finland
| | - Pasi Sihvonen
- Finnish Museum of Natural History 'Luomus', University of Helsinki, Helsinki, Finland
| | - Dina Soliman
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Jayme Sones
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Claudia Steinke
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Gunilla Ståhls
- Finnish Museum of Natural History 'Luomus', University of Helsinki, Helsinki, Finland
| | | | - Mikko Tiusanen
- Department of Agricultural Sciences, University of Helsinki, Helsinki, Finland
| | - Gergely Várkonyi
- Biodiversity Centre, Finnish Environment Institute SYKE, Kuhmo, Finland
| | - Eero J Vesterinen
- Department of Ecology, Swedish University of Agricultural Sciences, Uppsala, Sweden.,Department of Biology, University of Turku, Turku, Finland
| | | | | | | | | | - Connor Warne
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Catherine Wei
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | | | - Evgeny Zakharov
- Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Marko Mutanen
- Ecology and Genetics Research Unit, University of Oulu, Oulu, Finland
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10
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Valdivia-Carrillo T, Rocha-Olivares A, Reyes-Bonilla H, Domínguez-Contreras JF, Munguia-Vega A. Integrating eDNA metabarcoding and simultaneous underwater visual surveys to describe complex fish communities in a marine biodiversity hotspot. Mol Ecol Resour 2021; 21:1558-1574. [PMID: 33683812 DOI: 10.1111/1755-0998.13375] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2019] [Revised: 02/13/2021] [Accepted: 03/02/2021] [Indexed: 12/01/2022]
Abstract
Marine biodiversity can be surveyed using underwater visual censuses and recently with eDNA metabarcoding. Although a promising tool, eDNA studies have shown contrasting results related to its detection scale and the number of species identified compared to other survey methods. Also, its accuracy relies on complete reference databases used for taxonomic assignment and, as other survey methods, species detection may show false-negative and false-positive errors. Here, we compared results from underwater visual censuses and simultaneous eDNA metabarcoding fish surveys in terms of observed species and community composition. We also assess the effect of a custom reference database in the taxonomic assignment, and evaluate occupancy, capture and detection probabilities, as well as error rates of eDNA survey data. We amplified a 12S rRNA fish barcode from 24 sampling sites in the gulf of California. More species were detected with eDNA metabarcoding than with UVC. Because each survey method largely detected different sets of species, the combined approach doubled the number of species registered. Both survey methods recovered a known biodiversity gradient and a biogeographic break, but eDNA captured diversity over a broader geographic and bathymetric scale. Furthermore, the use of a modest-sized custom reference database significantly increased taxonomic assignment. In a subset of species, occupancy models revealed eDNA surveys provided similar or higher detection probabilities compared to UVC. The occupancy value of each species had a large influence on eDNA detectability, and in the false positive and negative error. Overall, these results highlight the potential of eDNA metabarcoding in complementing other established ecological methods for studies of marine fishes.
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Affiliation(s)
- Tania Valdivia-Carrillo
- Laboratorio de Ecología Molecular, Departamento de Oceanografía Biológica, Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Ensenada, Baja California Sur, México.,Lab Applied Genomics, La Paz, Baja California Sur, México
| | - Axayácatl Rocha-Olivares
- Laboratorio de Ecología Molecular, Departamento de Oceanografía Biológica, Centro de Investigación Científica y de Educación Superior de Ensenada (CICESE), Ensenada, Baja California Sur, México
| | - Héctor Reyes-Bonilla
- Laboratorio de Sistemas Arrecifales, Universidad Autónoma de Baja California Sur (UABCS), La Paz, Baja California Sur, México
| | | | - Adrian Munguia-Vega
- Conservation Genetics Laboratory & Desert Laboratory on Tumamoc Hill, The University of Arizona, Tucson, AZ, USA.,Lab Applied Genomics, La Paz, Baja California Sur, México
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11
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Ficetola GF, Boyer F, Valentini A, Bonin A, Meyer A, Dejean T, Gaboriaud C, Usseglio-Polatera P, Taberlet P. Comparison of markers for the monitoring of freshwater benthic biodiversity through DNA metabarcoding. Mol Ecol 2020; 30:3189-3202. [PMID: 32920861 DOI: 10.1111/mec.15632] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2020] [Revised: 08/16/2020] [Accepted: 08/27/2020] [Indexed: 12/22/2022]
Abstract
Metabarcoding of bulk or environmental DNA has great potential for biomonitoring of freshwater environments. However, successful application of metabarcoding to biodiversity monitoring requires universal primers with high taxonomic coverage that amplify highly variable, short metabarcodes with high taxonomic resolution. Moreover, reliable and extensive reference databases are essential to match the outcome of metabarcoding analyses with available taxonomy and biomonitoring indices. Benthic invertebrates, particularly insects, are key taxa for freshwater bioassessment. Nevertheless, few studies have so far assessed markers for metabarcoding of freshwater macrobenthos. Here we combined in silico and laboratory analyses to test the performance of different markers amplifying regions in the 18S rDNA (Euka02), 16S rDNA (Inse01) and COI (BF1_BR2-COI) genes, and developed an extensive database of benthic macroinvertebrates of France and Europe, with a particular focus on key insect orders (Ephemeroptera, Plecoptera and Trichoptera). Analyses on 1,514 individuals representing different taxa of benthic macroinvertebrates showed very different amplification success across primer combinations. The Euka02 marker showed the highest universality, while the Inse01 marker showed excellent performance for the amplification of insects. BF1_BR2-COI showed the highest resolution, while the resolution of Euka02 was often limited. By combining our data with GenBank information, we developed a curated database including sequences representing 822 genera. The heterogeneous performance of the different primers highlights the complexity in identifying the best markers, and advocates for the integration of multiple metabarcodes for a more comprehensive and accurate understanding of ecological impacts on freshwater biodiversity.
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Affiliation(s)
- Gentile Francesco Ficetola
- LECA, Laboratoire d'Ecologie Alpine, Univ. Grenoble Alpes, CNRS, Univ. Savoie Mont Blanc, Grenoble, France.,Department of Environmental Sciences and Policy, University of Milano, Milano, Italy
| | - Frédéric Boyer
- LECA, Laboratoire d'Ecologie Alpine, Univ. Grenoble Alpes, CNRS, Univ. Savoie Mont Blanc, Grenoble, France
| | | | - Aurélie Bonin
- LECA, Laboratoire d'Ecologie Alpine, Univ. Grenoble Alpes, CNRS, Univ. Savoie Mont Blanc, Grenoble, France.,Department of Environmental Sciences and Policy, University of Milano, Milano, Italy
| | - Albin Meyer
- Université de Lorraine, CNRS, LIEC, Metz, France
| | | | | | | | - Pierre Taberlet
- LECA, Laboratoire d'Ecologie Alpine, Univ. Grenoble Alpes, CNRS, Univ. Savoie Mont Blanc, Grenoble, France.,UiT - The Arctic University of Norway, Tromsø Museum, Tromsø, Norway
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