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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: 4] [Impact Index Per Article: 2.0] [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.
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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
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152
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Wanniarachchi S, Swan M, Nevil P, York A. Using eDNA metabarcoding to understand the effect of fire on the diet of small mammals in a woodland ecosystem. Ecol Evol 2022; 12:e9457. [PMID: 36381390 PMCID: PMC9643072 DOI: 10.1002/ece3.9457] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2022] [Revised: 09/30/2022] [Accepted: 10/05/2022] [Indexed: 11/11/2022] Open
Abstract
Food acquisition is a fundamental process that drives animal distribution and abundance, influencing how species respond to changing environments. Disturbances such as fire create significant shifts in available dietary resources, yet, for many species, we lack basic information about what they eat, let alone how they respond to a changing resource base. In order to create effective management strategies, faunal conservation in flammable landscapes requires a greater understanding of what animals eat and how this change following a fire. What animals eat in postfire environments has received little attention due to the time‐consuming methodologies and low‐resolution identification of food taxa. Recently, molecular techniques have been developed to identify food DNA in scats, making it possible to identify animal diets with enhanced resolution. The primary aim of this study was to utilize eDNA metabarcoding to obtain an improved understanding of the diet of three native Australian small mammal species: yellow‐footed antechinus (Antechinus flavipes), heath mouse (Pseudomys shortridgei), and bush rat (Rattus fuscipes). Specifically, we sought to understand the difference in the overall diet of the three species and how diet changed over time after fire. Yellow‐footed antechinus diets mostly consisted of moths, and plants belonging to myrtles and legume families while bush rats consumed legumes, myrtles, rushes, and beetles. Heath mouse diet was dominated by rushes. All three species shifted their diets over time after fire, with most pronounced shifts in the bush rats and least for heath mice. Identifying critical food resources for native animals will allow conservation managers to consider the effect of fire management actions on these resources and help conserve the species that use them.
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Affiliation(s)
- Saumya Wanniarachchi
- School of Ecosystem and Forest SciencesThe University of MelbourneCreswickVictoriaAustralia
| | - Matthew Swan
- School of Ecosystem and Forest SciencesThe University of MelbourneCreswickVictoriaAustralia
| | - Paul Nevil
- Trace and Environmental DNA Laboratory, School of Life and Molecular SciencesCurtin UniversityPerthWestern AustraliaAustralia
| | - Alan York
- School of Ecosystem and Forest SciencesThe University of MelbourneCreswickVictoriaAustralia
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153
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Garcés-Pastor S, Coissac E, Lavergne S, Schwörer C, Theurillat JP, Heintzman PD, Wangensteen OS, Tinner W, Rey F, Heer M, Rutzer A, Walsh K, Lammers Y, Brown AG, Goslar T, Rijal DP, Karger DN, Pellissier L, Heiri O, Alsos IG. High resolution ancient sedimentary DNA shows that alpine plant diversity is associated with human land use and climate change. Nat Commun 2022; 13:6559. [PMID: 36333301 PMCID: PMC9636257 DOI: 10.1038/s41467-022-34010-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 10/06/2022] [Indexed: 11/06/2022] Open
Abstract
The European Alps are highly rich in species, but their future may be threatened by ongoing changes in human land use and climate. Here, we reconstructed vegetation, temperature, human impact and livestock over the past ~12,000 years from Lake Sulsseewli, based on sedimentary ancient plant and mammal DNA, pollen, spores, chironomids, and microcharcoal. We assembled a highly-complete local DNA reference library (PhyloAlps, 3923 plant taxa), and used this to obtain an exceptionally rich sedaDNA record of 366 plant taxa. Vegetation mainly responded to climate during the early Holocene, while human activity had an additional influence on vegetation from 6 ka onwards. Land-use shifted from episodic grazing during the Neolithic and Bronze Age to agropastoralism in the Middle Ages. Associated human deforestation allowed the coexistence of plant species typically found at different elevational belts, leading to levels of plant richness that characterise the current high diversity of this region. Our findings indicate a positive association between low intensity agropastoral activities and precipitation with the maintenance of the unique subalpine and alpine plant diversity of the European Alps.
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Affiliation(s)
- Sandra Garcés-Pastor
- grid.10919.300000000122595234The Arctic University Museum of Norway, UiT - The Arctic University of Norway, NO-9037 Tromsø, Norway
| | - Eric Coissac
- grid.462909.00000 0004 0609 8934Université Grenoble-Alpes, Université Savoie Mont Blanc, CNRS, LECA, 38000 Grenoble, Rhône-Alpes France
| | - Sébastien Lavergne
- grid.462909.00000 0004 0609 8934Université Grenoble-Alpes, Université Savoie Mont Blanc, CNRS, LECA, 38000 Grenoble, Rhône-Alpes France
| | - Christoph Schwörer
- grid.5734.50000 0001 0726 5157Palaeoecology, Institute of Plant Sciences & Oeschger Centre for Climate Change Research, University of Bern, 3013 Bern, Switzerland
| | - Jean-Paul Theurillat
- grid.8591.50000 0001 2322 4988Fondation Aubert, 1938 Champex-Lac, Switzerland, Department of Plant Sciences, University of Geneva, 1292 Chambésy, Switzerland
| | - Peter D. Heintzman
- grid.10919.300000000122595234The Arctic University Museum of Norway, UiT - The Arctic University of Norway, NO-9037 Tromsø, Norway
| | - Owen S. Wangensteen
- grid.10919.300000000122595234Norwegian College of Fishery Science, UiT - The Arctic University of Norway, Tromsø, Norway ,grid.5841.80000 0004 1937 0247Department of Evolutionary Biology, Ecology and Environmental Sciences and Biodiversity Research Institute (IRBIO), University of Barcelona, Barcelona, Catalonia Spain
| | - Willy Tinner
- grid.5734.50000 0001 0726 5157Palaeoecology, Institute of Plant Sciences & Oeschger Centre for Climate Change Research, University of Bern, 3013 Bern, Switzerland
| | - Fabian Rey
- grid.6612.30000 0004 1937 0642Department of Environmental Sciences, University of Basel, 4056 Basel, Switzerland
| | - Martina Heer
- grid.6612.30000 0004 1937 0642Department of Environmental Sciences, University of Basel, 4056 Basel, Switzerland
| | - Astrid Rutzer
- grid.6612.30000 0004 1937 0642Department of Environmental Sciences, University of Basel, 4056 Basel, Switzerland
| | - Kevin Walsh
- grid.5685.e0000 0004 1936 9668Department of Archaeology, University of York, York, 11 YO1 7EP UK
| | - Youri Lammers
- grid.10919.300000000122595234The Arctic University Museum of Norway, UiT - The Arctic University of Norway, NO-9037 Tromsø, Norway
| | - Antony G. Brown
- grid.10919.300000000122595234The Arctic University Museum of Norway, UiT - The Arctic University of Norway, NO-9037 Tromsø, Norway
| | - Tomasz Goslar
- grid.5633.30000 0001 2097 3545Faculty of Geographical and Geological Sciences, Adam Mickiewicz University, 61-680 Poznań, Poland
| | - Dilli P. Rijal
- grid.10919.300000000122595234The Arctic University Museum of Norway, UiT - The Arctic University of Norway, NO-9037 Tromsø, Norway
| | - Dirk N. Karger
- grid.419754.a0000 0001 2259 5533Swiss Federal Research Institute for Forest, Snow, and Landscape Research (WSL), Zürcherstrasse 111, 8903 Birmensdorf, Switzerland
| | - Loïc Pellissier
- grid.5801.c0000 0001 2156 2780Department of Environmental System Science, Institute of Terrestrial Ecosystems, ETH Zurich, Zürich, Switzerland ,grid.419754.a0000 0001 2259 5533Swiss Federal Research Institute WSL, Birmensdorf, Switzerland
| | | | - Oliver Heiri
- grid.6612.30000 0004 1937 0642Department of Environmental Sciences, University of Basel, 4056 Basel, Switzerland
| | - Inger Greve Alsos
- grid.10919.300000000122595234The Arctic University Museum of Norway, UiT - The Arctic University of Norway, NO-9037 Tromsø, Norway
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154
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Littlefair JE, Rennie MD, Cristescu ME. Environmental nucleic acids: A field-based comparison for monitoring freshwater habitats using eDNA and eRNA. Mol Ecol Resour 2022; 22:2928-2940. [PMID: 35730338 PMCID: PMC9796649 DOI: 10.1111/1755-0998.13671] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Revised: 05/03/2022] [Accepted: 06/01/2022] [Indexed: 01/01/2023]
Abstract
Nucleic acids released by organisms and isolated from environmental substrates are increasingly being used for molecular biomonitoring. While environmental DNA (eDNA) has received much attention, the potential of environmental RNA as a biomonitoring tool remains under-explored. Several recent studies using paired DNA and RNA metabarcoding of bulk samples suggest that RNA might better reflect "metabolically active" parts of the community. However, such studies mainly capture organismal eDNA and eRNA. For larger eukaryotes, isolation of extra-organismal RNA will be important, but viability needs to be examined in a field-based setting. In this study we evaluate (a) whether extra-organismal eRNA release from macroeukaryotes can be detected given its supposedly rapid degradation, and (b) if the same field collection methods for eDNA can be applied to eRNA. We collected eDNA and eRNA from water in lakes where fish community composition is well documented, enabling a comparison between the two nucleic acids in two different seasons with monitoring using conventional methods. We found that eRNA is released from macroeukaryotes and can be filtered from water and metabarcoded in a similar manner as eDNA to reliably provide species composition information. eRNA had a small but significantly greater true positive rate than eDNA, indicating that it correctly detects more species known to exist in the lakes. Given relatively small differences between the two molecules in describing fish community composition, we conclude that if eRNA provides significant advantages in terms of lability, it is a strong candidate to add to the suite of molecular monitoring tools.
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Affiliation(s)
- Joanne E. Littlefair
- Department of BiologyMcGill UniversityMontréalQuebecCanada,Queen Mary University of LondonLondonUK
| | - Michael D. Rennie
- IISD Experimental Lakes AreaWinnipegManitobaCanada,Department of BiologyLakehead UniversityThunder BayOntarioCanada
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155
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Environmental DNA in human and veterinary parasitology - Current applications and future prospects for monitoring and control. Food Waterborne Parasitol 2022; 29:e00183. [DOI: 10.1016/j.fawpar.2022.e00183] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 11/04/2022] [Accepted: 11/09/2022] [Indexed: 11/15/2022] Open
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156
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Fox G, Vellaniparambil LR, Ros L, Sammy J, Preziosi RF, Rowntree JK. Complex urban environments provide Apis mellifera with a richer plant forage than suburban and more rural landscapes. Ecol Evol 2022; 12:e9490. [PMID: 36381392 PMCID: PMC9643131 DOI: 10.1002/ece3.9490] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2022] [Revised: 09/30/2022] [Accepted: 10/01/2022] [Indexed: 11/11/2022] Open
Abstract
Growth in the global development of cities, and increasing public interest in beekeeping, has led to increase in the numbers of urban apiaries. Towns and cities can provide an excellent diet for managed bees, with a diverse range of nectar and pollen available throughout a long flowering season, and are often more ecologically diverse than the surrounding rural environments. Accessible urban honeybee hives are a valuable research resource to gain insights into the diet and ecology of wild pollinators in urban settings. We used DNA metabarcoding of the rbcL and ITS2 gene regions to characterize the pollen community in Apis mellifera honey, inferring the floral diet, from 14 hives across an urban gradient around Greater Manchester, UK. We found that the proportion of urban land around a hive is significantly associated with an increase in the diversity of plants foraged and that invasive and non-native plants appear to play a critical role in the sustenance of urban bees, alongside native plant species. The proportion of improved grassland, typical of suburban lawns and livestock farms, is significantly associated with decreases in the diversity of plant pollen found in honey samples. These findings are relevant to urban landscape developers motivated to encourage biodiversity and bee persistence, in line with global bio-food security agendas.
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Affiliation(s)
- Graeme Fox
- Department of Natural Sciences, Ecology and Environment Research CentreManchester Metropolitan UniversityManchesterUK
| | - Latha R. Vellaniparambil
- Department of Natural Sciences, Ecology and Environment Research CentreManchester Metropolitan UniversityManchesterUK
| | - Loreto Ros
- Faculty of Life SciencesThe University of ManchesterManchesterUK
| | - Joshua Sammy
- Department of Natural Sciences, Ecology and Environment Research CentreManchester Metropolitan UniversityManchesterUK
| | - Richard F. Preziosi
- Department of Natural Sciences, Ecology and Environment Research CentreManchester Metropolitan UniversityManchesterUK
- Present address:
School of Biological and Marine SciencesUniversity of PlymouthPlymouthUK
| | - Jennifer K. Rowntree
- Department of Natural Sciences, Ecology and Environment Research CentreManchester Metropolitan UniversityManchesterUK
- Present address:
School of Biological and Marine SciencesUniversity of PlymouthPlymouthUK
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157
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Pratomo A, Bengen DG, Zamani NP, Lane C, Humphries AT, Borbee E, Subhan B, Madduppa H. Diversity and distribution of Symbiodiniaceae detected on coral reefs of Lombok, Indonesia using environmental DNA metabarcoding. PeerJ 2022; 10:e14006. [PMID: 36312748 PMCID: PMC9610659 DOI: 10.7717/peerj.14006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 08/14/2022] [Indexed: 01/19/2023] Open
Abstract
Background Dinoflagellates of family Symbiodiniaceae are important to coral reef ecosystems because of their contribution to coral health and growth; however, only a few studies have investigated the function and distribution of Symbiodiniaceae in Indonesia. Understanding the distribution of different kinds of Symbiodiniaceae can improve forecasting of future responses of various coral reef systems to climate change. This study aimed to determine the diversity of Symbiodiniaceae around Lombok using environmental DNA (eDNA). Methods Seawater and sediment samples were collected from 18 locations and filtered to obtain fractions of 0.4-12 and >12 µm. After extraction, molecular barcoding polymerase chain reaction was conducted to amplify the primary V9-SSU 18S rRNA gene, followed by sequencing (Illumina MiSeq). BLAST, Naïve-fit-Bayes, and maximum likelihood routines were used for classification and phylogenetic reconstruction. We compared results across sampling sites, sample types (seawater/sediment), and filter pore sizes (fraction). Results Phylogenetic analyses resolved the amplicon sequence variants into 16 subclades comprising six Symbiodiniaceae genera (or genera-equivalent clades) as follows: Symbiodinium, Breviolum, Cladocopium, Durusdinium, Foraminifera Clade G, and Halluxium. Comparative analyses showed that the three distinct lineages within Cladocopium, Durusdinium, and Foraminifera Clade G were the most common. Most of the recovered sequences appeared to be distinctive of different sampling locations, supporting the possibility that eDNA may resolve regional and local differences among Symbiodiniaceae genera and species. Conclusions eDNA surveys offer a rapid proxy for evaluating Symbiodiniaceae species on coral reefs and are a potentially useful approach to revealing diversity and relative ecological dominance of certain Symbiodiniaceae organisms. Moreover, Symbiodiniaceae eDNA analysis shows potential in monitoring the local and regional stability of coral-algal mutualisms.
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Affiliation(s)
- Arief Pratomo
- Raja Ali Haji Maritime University, Tanjungpinang, Indonesia,Department of Marine Science and Technology, Institut Pertanian Bogor, Bogor, Indonesia
| | - Dietriech G. Bengen
- Department of Marine Science and Technology, Institut Pertanian Bogor, Bogor, Indonesia
| | - Neviaty P. Zamani
- Department of Marine Science and Technology, Institut Pertanian Bogor, Bogor, Indonesia
| | - Christopher Lane
- Department of Biological Sciences, University of Rhode Island, Rhode Island, United States of America
| | - Austin T. Humphries
- Department of Fisheries, Animal and Veterinary Sciences, University of Rhode Island, Rhode Island, United States of America
| | - Erin Borbee
- Department of Biological Sciences, University of Rhode Island, Rhode Island, United States of America
| | - Beginer Subhan
- Department of Marine Science and Technology, Institut Pertanian Bogor, Bogor, Indonesia
| | - Hawis Madduppa
- Department of Marine Science and Technology, Institut Pertanian Bogor, Bogor, Indonesia,Oceanogen Research Center, Bogor, Indonesia
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158
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Holmes V, Aman J, York G, Kinnison MT. Environmental DNA detects Spawning Habitat of an ephemeral migrant fish (Anadromous Rainbow Smelt: Osmerus mordax). BMC Ecol Evol 2022; 22:121. [PMID: 36280813 PMCID: PMC9594880 DOI: 10.1186/s12862-022-02073-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2022] [Accepted: 09/26/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Anadromous rainbow smelt (Osmerus mordax) have experienced a large range reduction in recent decades and the status of remnant spawning populations is poorly known in Maine, where these fish have significant ecological, cultural, and commercial relevance. Defining the remnant range of anadromous smelt is more difficult than for many declining fish species because adults are only ephemerally present while spawning in small coastal streams at night during spring runoff periods when traditional assessments can be unreliable or even hazardous. We hypothesized that eDNA might facilitate improved survey efforts to define smelt spawning habitat, but that detection could also face challenges from adult eDNA quickly flushing out of these small stream systems. We combined daytime eDNA sampling with nighttime fyke netting to ascertain a potential window of eDNA detection before conducting eDNA surveys in four streams of varying abundance. Hierarchical occupancy modeling was in turn employed to estimate eDNA encounter probabilities relative to numbers of sampling events (date), samples within events, and qPCR replicates within samples. RESULTS Results from the combined eDNA and fyke net study indicated eDNA was detectable over an extended period, culminating approximately 8-13 days following peak spawning, suggesting developing smelt larvae might be the primary source of eDNA. Subsequently, smelt eDNA was readily detected in eDNA surveys of four streams, particularly following remediation of PCR inhibitors. Hierarchical occupancy modeling confirmed our surveys had high empirical detection for most sites, and that future surveys employing at least three sampling events, three samples per event, and six qPCR replicates can afford greater than 90% combined detection capability in low abundance systems. CONCLUSIONS These results demonstrate that relatively modest eDNA sampling effort has high capacity to detect this ephemerally present species of concern at low to moderate abundances. As such, smelt eDNA detection could improve range mapping by providing longer survey windows, safer sampling conditions, and lower field effort in low density systems, than afforded by existing visual and netting approaches.
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Affiliation(s)
- Vaughn Holmes
- grid.21106.340000000121820794Center for Genetics in the Environment and School of Biology and Ecology, University of Maine, Orono, USA
| | - Jacob Aman
- grid.448608.60000 0000 9349 2745Wells National Estuarine Research Reserve, Wells, USA
| | - Geneva York
- grid.21106.340000000121820794University of Maine Environmental DNA CORE Laboratory, Orono, USA
| | - Michael T. Kinnison
- grid.21106.340000000121820794Center for Genetics in the Environment and School of Biology and Ecology, University of Maine, Orono, USA ,grid.21106.340000000121820794University of Maine Environmental DNA CORE Laboratory, Orono, USA
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159
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Environmental RNA as a Tool for Marine Community Biodiversity Assessments. Sci Rep 2022; 12:17782. [PMID: 36273070 PMCID: PMC9588027 DOI: 10.1038/s41598-022-22198-w] [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: 06/23/2022] [Accepted: 10/11/2022] [Indexed: 01/19/2023] Open
Abstract
Microscopic organisms are often overlooked in traditional diversity assessments due to the difficulty of identifying them based on morphology. Metabarcoding is a method for rapidly identifying organisms where Environmental DNA (eDNA) is used as a template. However, legacy DNA is problematically detected from organisms no longer in the environment during sampling. Environmental RNA (eRNA), which is only produced by living organisms, can also be collected from environmental samples and used for metabarcoding. The aim of this study was to determine differences in community composition and diversity between eRNA and eDNA templates for metabarcoding. Using mesocosms containing field-collected communities from an estuary, RNA and DNA were co-extracted from sediment, libraries were prepared for two loci (18S and COI), and sequenced using an Illumina MiSeq. Results show a higher number of unique sequences detected from eRNA in both markers and higher α-diversity compared to eDNA. Significant differences between eRNA and eDNA for all β-diversity metrics were also detected. This study is the first to demonstrate community differences detected with eRNA compared to eDNA from an estuarine system and illustrates the broad applications of eRNA as a tool for assessing benthic community diversity, particularly for environmental conservation and management applications.
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160
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Wang Y, Korneliussen TS, Holman LE, Manica A, Pedersen MW.
ngs
LCA
—A toolkit for fast and flexible lowest common ancestor inference and taxonomic profiling of metagenomic data. Methods Ecol Evol 2022. [DOI: 10.1111/2041-210x.14006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Affiliation(s)
- Yucheng Wang
- Department of Zoology University of Cambridge Cambridge UK
- Lundbeck Foundation GeoGenetics Centre, Globe Institute University of Copenhagen Copenhagen K Denmark
- ALPHA, State Key Laboratory of Tibetan Plateau Earth System, Environment and Resources (TPESER) Institute of Tibetan Plateau Research (ITPCAS), Chinese Academy of Sciences (CAS) Beijing China
- BGI BGI‐Shenzhen Shanghai China
| | | | - Luke E. Holman
- School of Ocean and Earth Science, National Oceanography Centre Southampton University of Southampton Southampton UK
- Section for Evolutionary Genomics, Faculty of Health and Medical Sciences, Globe Institute University of Copenhagen Copenhagen Denmark
| | - Andrea Manica
- Department of Zoology University of Cambridge Cambridge UK
| | - Mikkel Winther Pedersen
- Lundbeck Foundation GeoGenetics Centre, Globe Institute University of Copenhagen Copenhagen K Denmark
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161
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Naumova NB, Kabilov MR. About the Biodiversity of the Air Microbiome. Acta Naturae 2022; 14:50-56. [PMID: 36694900 PMCID: PMC9844089 DOI: 10.32607/actanaturae.11671] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Accepted: 10/27/2022] [Indexed: 01/22/2023] Open
Abstract
This brief review focuses on the properties of bioaerosols, presenting some recent results of metagenomic studies of the air microbiome performed using next-generation sequencing. The taxonomic composition and structure of the bioaerosol microbiome may display diurnal and seasonal dynamics and be dependent on meteorological events such as dust storms, showers, fogs, etc., as well as air pollution. The Proteobacteria and Ascomycota members are common dominants in bioaerosols in different troposphere layers. The microbiological composition of the lower troposphere air affects the composition and diversity of the indoor bioaerosol microbiome, and information about the latter is very important, especially during exacerbated epidemiological situations. Few studies focusing on the bioaerosol microbiome of the air above Russia urge intensification of such research.
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Affiliation(s)
- N. B. Naumova
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090 Russia
| | - M. R. Kabilov
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, 630090 Russia
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162
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Yao M, Zhang S, Lu Q, Chen X, Zhang SY, Kong Y, Zhao J. Fishing for fish environmental DNA: Ecological applications, methodological considerations, surveying designs, and ways forward. Mol Ecol 2022; 31:5132-5164. [PMID: 35972241 DOI: 10.1111/mec.16659] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Revised: 07/20/2022] [Accepted: 07/27/2022] [Indexed: 12/15/2022]
Abstract
Vast global declines of freshwater and marine fish diversity and population abundance pose serious threats to both ecosystem sustainability and human livelihoods. Environmental DNA (eDNA)-based biomonitoring provides robust, efficient, and cost-effective assessment of species occurrences and population trends in diverse aquatic environments. Thus, it holds great potential for improving conventional surveillance frameworks to facilitate fish conservation and fisheries management. However, the many technical considerations and rapid developments underway in the eDNA arena can overwhelm researchers and practitioners new to the field. Here, we systematically analysed 416 fish eDNA studies to summarize research trends in terms of investigated targets, research aims, and study systems, and reviewed the applications, rationales, methodological considerations, and limitations of eDNA methods with an emphasis on fish and fisheries research. We highlighted how eDNA technology may advance our knowledge of fish behaviour, species distributions, population genetics, community structures, and ecological interactions. We also synthesized the current knowledge of several important methodological concerns, including the qualitative and quantitative power eDNA has to recover fish biodiversity and abundance, and the spatial and temporal representations of eDNA with respect to its sources. To facilitate ecological applications implementing fish eDNA techniques, recent literature was summarized to generate guidelines for effective sampling in lentic, lotic, and marine habitats. Finally, we identified current gaps and limitations, and pointed out newly emerging research avenues for fish eDNA. As methodological optimization and standardization improve, eDNA technology should revolutionize fish monitoring and promote biodiversity conservation and fisheries management that transcends geographic and temporal boundaries.
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Affiliation(s)
- Meng Yao
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China.,School of Life Sciences, Peking University, Beijing, China
| | - Shan Zhang
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China.,School of Life Sciences, Peking University, Beijing, China
| | - Qi Lu
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China.,School of Life Sciences, Peking University, Beijing, China
| | - Xiaoyu Chen
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China.,School of Life Sciences, Peking University, Beijing, China
| | - Si-Yu Zhang
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China.,School of Life Sciences, Peking University, Beijing, China
| | - Yueqiao Kong
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China.,School of Life Sciences, Peking University, Beijing, China
| | - Jindong Zhao
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing, China.,School of Life Sciences, Peking University, Beijing, China
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163
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Nagler M, Podmirseg SM, Ascher‐Jenull J, Sint D, Traugott M. Why eDNA fractions need consideration in biomonitoring. Mol Ecol Resour 2022; 22:2458-2470. [PMID: 35652762 PMCID: PMC9545497 DOI: 10.1111/1755-0998.13658] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Revised: 05/12/2022] [Accepted: 05/26/2022] [Indexed: 11/29/2022]
Abstract
The analysis of environmental DNA (eDNA) is revolutionizing the monitoring of biodiversity as it allows to assess organismic diversity at large scale and unprecedented taxonomic detail. However, eDNA consists of an extracellular and intracellular fraction, each characterized by particular properties that determine the retrievable information on when and where organisms live or have been living. Here, we review the fractions of eDNA, describe how to obtain them from environmental samples and present a four-scenario concept that aims at enhancing spatial and temporal resolution of eDNA-based monitoring. Importantly, we highlight how the appropriate choice of eDNA fractions precludes misinterpretation of eDNA-based biodiversity data. Finally, future avenues of research towards eDNA fraction-specific analyses are outlined to unravel the full potential of eDNA-based studies targeting micro- and macro-organisms.
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Affiliation(s)
| | | | | | - Daniela Sint
- Department of ZoologyUniversität InnsbruckInnsbruckAustria
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164
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Good E, Holman LE, Pusceddu A, Russo T, Rius M, Iacono CL. Detection of community-wide impacts of bottom trawl fishing on deep-sea assemblages using environmental DNA metabarcoding. MARINE POLLUTION BULLETIN 2022; 183:114062. [PMID: 36075115 DOI: 10.1016/j.marpolbul.2022.114062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 08/15/2022] [Accepted: 08/17/2022] [Indexed: 06/15/2023]
Abstract
Although considerable research progress on the effects of anthropogenic disturbance in the deep sea has been made in recent years, our understanding of these impacts at community level remains limited. Here, we studied deep-sea assemblages of Sicily (Mediterranean Sea) subject to different intensities of benthic trawling using environmental DNA (eDNA) metabarcoding and taxonomic identification of meiofauna communities. Firstly, eDNA metabarcoding data did not detect trawling impacts using alpha diversity whereas meiofauna data detected a significant effect of trawling. Secondly, both eDNA and meiofauna data detected significantly different communities across distinct levels of trawling intensity when we examined beta diversity. Taxonomic assignment of the eDNA data revealed that Bryozoa was present only at untrawled sites, highlighting their vulnerability to trawling. Our results provide evidence for community-wide impacts of trawling, with different trawling intensities leading to distinct deep-sea communities. Finally, we highlight the need for further studies to unravel understudied deep-sea biodiversity.
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Affiliation(s)
- Edward Good
- School of Ocean and Earth Science, University of Southampton, Waterfront Campus, Southampton, United Kingdom.
| | - Luke E Holman
- School of Ocean and Earth Science, University of Southampton, Waterfront Campus, Southampton, United Kingdom; Section for Molecular Ecology and Evolution, Faculty of Health and Medical Sciences, Globe Institute, University of Copenhagen, Copenhagen, Denmark
| | - Antonio Pusceddu
- Department of Life and Environmental Sciences, University of Cagliari, Via T. Fiorelli, 1, 09126 Cagliari, Italy
| | - Tommaso Russo
- Laboratory of Experimental Ecology and Aquaculture, Department of Biology, University of Rome Tor Vergata, Rome 00133, Italy
| | - Marc Rius
- School of Ocean and Earth Science, University of Southampton, Waterfront Campus, Southampton, United Kingdom; Centre for Advanced Studies of Blanes - Spanish National Research Council (CEAB-CSIC), Accés a la Cala Sant Francesc 14, 17300 Blanes (Girona), Spain; Centre for Ecological Genomics and Wildlife Conservation, Department of Zoology, University of Johannesburg, South Africa
| | - Claudio Lo Iacono
- Marine Sciences Institute - Spanish National Research Council (ICM-CSIC), Passeig Marítim de la Barceloneta 37-49, 08003 Barcelona, Spain
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165
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Xing Z, Gao H, Wang D, Shang Y, Tuliebieke T, Jiang J, Li C, Wang H, Li Z, Jia L, Wu Y, Wang D, Yang W, Chang Y, Zhang X, Xu L, Jiang C, Huang L, Tian X. A novel biological sources consistency evaluation method reveals high level of biodiversity within wild natural medicine: A case study of Amynthas earthworms as “Guang Dilong”. Acta Pharm Sin B 2022; 13:1755-1770. [PMID: 37139429 PMCID: PMC10150161 DOI: 10.1016/j.apsb.2022.10.024] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Revised: 09/28/2022] [Accepted: 10/13/2022] [Indexed: 11/30/2022] Open
Abstract
For wild natural medicine, unanticipated biodiversity as species or varieties with similar morphological characteristics and sympatric distribution may co-exist in a single batch of medical materials, which affects the efficacy and safety of clinical medication. DNA barcoding as an effective species identification tool is limited by its low sample throughput nature. In this study, combining DNA mini-barcode, DNA metabarcoding and species delimitation method, a novel biological sources consistency evaluation strategy was proposed, and high level of interspecific and intraspecific variations were observed and validated among 5376 Amynthas samples from 19 sampling points regarded as "Guang Dilong" and 25 batches of proprietary Chinese medicines. Besides Amynthas aspergillum as the authentic source, 8 other Molecular Operational Taxonomic Units (MOTUs) were elucidated. Significantly, even the subgroups within A. aspergillum revealed here differ significantly on chemical compositions and biological activity. Fortunately, this biodiversity could be controlled when the collection was limited to designated areas, as proved by 2796 "decoction pieces" samples. This batch biological identification method should be introduced as a novel concept regarding natural medicine quality control, and to offer guidelines for in-situ conservation and breeding bases construction of wild natural medicine.
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Affiliation(s)
- Zhimei Xing
- State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China
| | - Han Gao
- State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Jiangsu Key Laboratory for Biodiversity and Biotechnology, College of Life Sciences, Nanjing Normal University, Nanjing 210023, China
| | - Dan Wang
- State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China
| | - Ye Shang
- State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China
| | - Tenukeguli Tuliebieke
- State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China
| | - Jibao Jiang
- School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Chunxiao Li
- State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China
| | - Hong Wang
- State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
| | - Zhenguo Li
- Mudanjiang YouBo Pharmaceutical Co. Ltd., Mudanjiang 157000, China
| | - Lifu Jia
- Guizhou Ruihe Pharmaceutical Co. Ltd., Guizhou 550000, China
| | - Yongsheng Wu
- Mudanjiang YouBo Pharmaceutical Co. Ltd., Mudanjiang 157000, China
| | - Dandan Wang
- Mudanjiang YouBo Pharmaceutical Co. Ltd., Mudanjiang 157000, China
| | - Wenzhi Yang
- State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China
| | - Yanxu Chang
- State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China
| | - Xiaoying Zhang
- State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China
| | - Liuwei Xu
- State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China
| | - Chao Jiang
- State Key Laboratory of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100010, China
- Corresponding authors.
| | - Luqi Huang
- State Key Laboratory of Dao-di Herbs, National Resource Center for Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100010, China
- Corresponding authors.
| | - Xiaoxuan Tian
- State Key Laboratory of Component-Based Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin 301617, China
- Haihe Laboratory of Modern Chinese Medicine, Tianjin 301617, China
- Corresponding authors.
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166
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Zainal Abidin DH, Mohd Nor SA, Lavoué S, A Rahim M, Mohammed Akib NA. Assessing a megadiverse but poorly known community of fishes in a tropical mangrove estuary through environmental DNA (eDNA) metabarcoding. Sci Rep 2022; 12:16346. [PMID: 36175455 PMCID: PMC9523059 DOI: 10.1038/s41598-022-19954-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Accepted: 09/07/2022] [Indexed: 11/18/2022] Open
Abstract
Biodiversity surveys are crucial for monitoring the status of threatened aquatic ecosystems, such as tropical estuaries and mangroves. Conventional monitoring methods are intrusive, time-consuming, substantially expensive, and often provide only rough estimates in complex habitats. An advanced monitoring approach, environmental DNA (eDNA) metabarcoding, is promising, although only few applications in tropical mangrove estuaries have been reported. In this study, we explore the advantages and limitations of an eDNA metabarcoding survey on the fish community of the Merbok Estuary (Peninsular Malaysia). COI and 12S eDNA metabarcoding assays collectively detected 178 species from 127 genera, 68 families, and 25 orders. Using this approach, significantly more species have been detected in the Merbok Estuary over the past decade (2010–2019) than in conventional surveys, including several species of conservation importance. However, we highlight three limitations: (1) in the absence of a comprehensive reference database the identities of several species are unresolved; (2) some of the previously documented specimen-based diversity was not captured by the current method, perhaps as a consequence of PCR primer specificity, and (3) the detection of non-resident species—stenohaline freshwater taxa (e.g., cyprinids, channids, osphronemids) and marine coral reef taxa (e.g., holocentrids, some syngnathids and sharks), not known to frequent estuaries, leading to the supposition that their DNA have drifted into the estuary through water movements. The community analysis revealed that fish diversity along the Merbok Estuary is not homogenous, with the upstream more diverse than further downstream. This could be due to the different landscapes or degree of anthropogenic influences along the estuary. In summary, we demonstrated the practicality of eDNA metabarcoding in assessing fish community and structure within a complex and rich tropical environment within a short sampling period. However, some limitations need to be considered and addressed to fully exploit the efficacy of this approach.
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Affiliation(s)
- Danial Hariz Zainal Abidin
- Centre for Global Sustainability Studies (CGSS), Level 5, Hamzah Sendut Library, Universiti Sains Malaysia, 11800, Penang, Malaysia
| | - Siti Azizah Mohd Nor
- Institute of Marine Biotechnology, Universiti Malaysia Terengganu, 21030, Kuala Terengganu, Terengganu, Malaysia.
| | - Sébastien Lavoué
- School of Biological Sciences, Universiti Sains Malaysia, 11800, Penang, Malaysia
| | | | - Noor Adelyna Mohammed Akib
- Centre for Global Sustainability Studies (CGSS), Level 5, Hamzah Sendut Library, Universiti Sains Malaysia, 11800, Penang, Malaysia. .,School of Biological Sciences, Universiti Sains Malaysia, 11800, Penang, Malaysia.
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167
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Wong YS, Osborne NJ. Biodiversity Effects on Human Mental Health via Microbiota Alterations. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:11882. [PMID: 36231182 PMCID: PMC9565733 DOI: 10.3390/ijerph191911882] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 09/12/2022] [Accepted: 09/14/2022] [Indexed: 06/16/2023]
Abstract
The biodiversity hypothesis postulates that the natural environment positively affects human physical and mental health. We evaluate the latest evidence and propose new tools to examine the halobiont environment. We chose to target our review at neuropsychiatric disorders, including depression, anxiety, autism, dementia, multiple sclerosis, etc. because a green prescription (exposure to green spaces) was shown to benefit patients with neuropsychiatric disorders. Specifically, our review consists of three mini reviews on the associations exploring: (1) ecological biodiversity and human microbiota; (2) human microbiota and neuropsychiatric disorders; (3) ecological biodiversity and neuropsychiatric disorders. We conclude that the environment could directly transfer microbes to humans and that human studies support the gut microbiota as part of the pathophysiology of neuropsychiatric disorders. Overall, the results from the three mini reviews consistently support the biodiversity hypothesis. These findings demonstrated the plausibility of biodiversity exerting mental health effects through biophysiological mechanisms instead of psychological mechanisms alone. The idea can be further tested with novel biodiversity measurements and research on the effects of a green prescription.
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Affiliation(s)
- Yee Sang Wong
- School of Medicine, The University of Queensland, Herston, QLD 4006, Australia
| | - Nicholas John Osborne
- School of Public Health, The University of Queensland, Herston, QLD 4006, Australia
- School of Population Health, University of New South Wales, Sydney, NSW 2052, Australia
- European Centre for Environment and Human Health (ECEHH), University of Exeter Medical School, Knowledge Spa, Royal Cornwall Hospital, Truro TR1 3HD, Cornwall, UK
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168
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Banchi E, Manna V, Fonti V, Fabbro C, Celussi M. Improving environmental monitoring of Vibrionaceae in coastal ecosystems through 16S rRNA gene amplicon sequencing. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:67466-67482. [PMID: 36056283 PMCID: PMC9492620 DOI: 10.1007/s11356-022-22752-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 08/23/2022] [Indexed: 06/15/2023]
Abstract
The Vibrionaceae family groups genetically and metabolically diverse bacteria thriving in all marine environments. Despite often representing a minor fraction of bacterial assemblages, members of this family can exploit a wide variety of nutritional sources, which makes them important players in biogeochemical dynamics. Furthermore, several Vibrionaceae species are well-known pathogens, posing a threat to human and animal health. Here, we applied the phylogenetic placement coupled with a consensus-based approach using 16S rRNA gene amplicon sequencing, aiming to reach a reliable and fine-level Vibrionaceae characterization and identify the dynamics of blooming, ecologically important, and potentially pathogenic species in different sites of the northern Adriatic Sea. Water samples were collected monthly at a Long-Term Ecological Research network site from 2018 to 2021, and in spring and summer of 2019 and 2020 at two sites affected by depurated sewage discharge. The 41 identified Vibrionaceae species represented generally below 1% of the sampled communities; blooms (up to ~ 11%) mainly formed by Vibrio chagasii and Vibrio owensii occurred in summer, linked to increasing temperature and particulate matter concentration. Pathogenic species such as Vibrio anguilllarum, Vibrio tapetis, and Photobacterium damselae were found in low abundance. Depuration plant samples were characterized by a lower abundance and diversity of Vibrionaceae species compared to seawater, highlighting that Vibrionaceae dynamics at sea are unlikely to be related to wastewater inputs. Our work represents a further step to improve the molecular approach based on short reads, toward a shared, updated, and curated phylogeny of the Vibrionaceae family.
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Affiliation(s)
- Elisa Banchi
- National Institute of Oceanography and Applied Geophysics - OGS, Via A. Piccard, 54, 34151, Trieste, Italy.
| | - Vincenzo Manna
- National Institute of Oceanography and Applied Geophysics - OGS, Via A. Piccard, 54, 34151, Trieste, Italy
| | - Viviana Fonti
- National Institute of Oceanography and Applied Geophysics - OGS, Via A. Piccard, 54, 34151, Trieste, Italy
| | - Cinzia Fabbro
- National Institute of Oceanography and Applied Geophysics - OGS, Via A. Piccard, 54, 34151, Trieste, Italy
| | - Mauro Celussi
- National Institute of Oceanography and Applied Geophysics - OGS, Via A. Piccard, 54, 34151, Trieste, Italy
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169
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Environmental DNA Metabarcoding: A Novel Contrivance for Documenting Terrestrial Biodiversity. BIOLOGY 2022; 11:biology11091297. [PMID: 36138776 PMCID: PMC9495823 DOI: 10.3390/biology11091297] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 08/24/2022] [Accepted: 08/26/2022] [Indexed: 12/20/2022]
Abstract
Simple Summary The innovative concept of environmental DNA has found its foot in aquatic ecosystems but remains an unexplored area of research concerning terrestrial ecosystems. When making management choices, it is important to understand the rate of eDNA degradation, the persistence of DNA in terrestrial habitats, and the variables affecting eDNA detectability for a target species. Therefore an attempt has been made to provide comprehensive information regarding the exertion of eDNA in terrestrial ecosystems from 2012 to 2022. The information provided will assist ecologists, researchers and decision-makers in developing a holistic understanding of environmental DNA and its applicability as a biodiversity monitoring contrivance. Abstract The dearth of cardinal data on species presence, dispersion, abundance, and habitat prerequisites, besides the threats impeded by escalating human pressure has enormously affected biodiversity conservation. The innovative concept of eDNA, has been introduced as a way of overcoming many of the difficulties of rigorous conventional investigations, and is hence becoming a prominent and novel method for assessing biodiversity. Recently the demand for eDNA in ecology and conservation has expanded exceedingly, despite the lack of coordinated development in appreciation of its strengths and limitations. Therefore it is pertinent and indispensable to evaluate the extent and significance of eDNA-based investigations in terrestrial habitats and to classify and recognize the critical considerations that need to be accounted before using such an approach. Presented here is a brief review to summarize the prospects and constraints of utilizing eDNA in terrestrial ecosystems, which has not been explored and exploited in greater depth and detail in such ecosystems. Given these obstacles, we focused primarily on compiling the most current research findings from journals accessible in eDNA analysis that discuss terrestrial ecosystems (2012–2022). In the current evaluation, we also review advancements and limitations related to the eDNA technique.
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170
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Khan G, Hegge A, Gemeinholzer B. Development and Testing of the A1 Volumetric Air Sampler, an Automatic Pollen Trap Suitable for Long-Term Monitoring of eDNA Pollen Diversity. SENSORS (BASEL, SWITZERLAND) 2022; 22:6512. [PMID: 36080967 PMCID: PMC9460460 DOI: 10.3390/s22176512] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Revised: 07/28/2022] [Accepted: 08/05/2022] [Indexed: 06/15/2023]
Abstract
Airborne pollen surveys provide information on various aspects of biodiversity and human health monitoring. Such surveys are typically conducted using the Burkard Multi-Vial Cyclone Sampler, but have to be technically optimized for eDNA barcoding. We here developed and tested a new airborne pollen trap, especially suitable for autonomous eDNA-metabarcoding analyses, called the A1 volumetric air sampler. The trap can sample pollen in 24 different tubes with flexible intervals, allowing it to operate independently in the field for a certain amount of time. We compared the efficiency of the new A1 volumetric air sampler with another automated volumetric spore trap, the Burkard Multi-Vial Cyclone Sampler, which features shorter and fewer sampling intervals to evaluate the comparability of ambient pollen concentrations. In a sterile laboratory environment, we compared trap performances between the automated volumetric air samplers by using pure dry pollen of three species-Fagus sylvatica, Helianthus annuus and Zea mays-which differ both by exine ornamentation and pollen size. The traps had a standard suction flow rate of 16.5 L/min, and we counted the inhaled pollen microscopically after a predefined time interval. Our results showed that though we put three different pollen types in the same container, both the traps inhaled all the pollens in a statistically significant manner irrespective of their size. We found that, on average, both traps inhaled equal an number of pollens for each species. We did not detect any cross-contamination between tubes. We concluded that the A1 volumetric air sampler has the potential to be used for longer and more flexible sampling intervals in the wild, suitable for autonomous monitoring of eDNA pollen diversity.
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Affiliation(s)
- Gulzar Khan
- AG Botanik, University of Kassel, Heinrich-Plett-Str. 40, 34132 Kassel, Germany
| | - Albrecht Hegge
- A1 Productdesign, Reindl + Partner GmbH, Bahnhofstraße 13, 50999 Cologne, Germany
| | - Birgit Gemeinholzer
- AG Botanik, University of Kassel, Heinrich-Plett-Str. 40, 34132 Kassel, Germany
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171
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Woodcock BA, Oliver AE, Newbold LK, Soon Gweon H, Read DS, Sayed U, Savage J, Bacon J, Upcott E, Howell K, Turvey K, Roy DB, Gloria Pereira M, Sleep D, Greenop A, Pywell RF. Citizen science monitoring reveals links between honeybee health, pesticide exposure and seasonal availability of floral resources. Sci Rep 2022; 12:14331. [PMID: 35995928 PMCID: PMC9395358 DOI: 10.1038/s41598-022-18672-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 08/17/2022] [Indexed: 11/23/2022] Open
Abstract
We use a national citizen science monitoring scheme to quantify how agricultural intensification affects honeybee diet breadth (number of plant species). To do this we used DNA metabarcoding to identify the plants present in 527 honey samples collected in 2019 across Great Britain. The species richness of forage plants was negatively correlated with arable cropping area, although this was only found early in the year when the abundance of flowering plants was more limited. Within intensively farmed areas, honeybee diets were dominated by Brassica crops (including oilseed rape). We demonstrate how the structure and complexity of honeybee foraging relationships with plants is negatively affected by the area of arable crops surrounding hives. Using information collected from the beekeepers on the incidence of an economically damaging bee disease (Deformed Wing Virus) we found that the occurrence of this disease increased where bees foraged in agricultural land where there was a high use of foliar insecticides. Understanding impacts of land use on resource availability is fundamental to assessing long-term viability of pollinator populations. These findings highlight the importance of supporting temporally timed resources as mitigation strategies to support wider pollinator population viability.
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Affiliation(s)
- Ben A Woodcock
- UK Centre for Ecology & Hydrology (UKCEH), Wallingford, Oxfordshire, OX10 8BB, UK.
| | - Anna E Oliver
- UK Centre for Ecology & Hydrology (UKCEH), Wallingford, Oxfordshire, OX10 8BB, UK
| | - Lindsay K Newbold
- UK Centre for Ecology & Hydrology (UKCEH), Wallingford, Oxfordshire, OX10 8BB, UK
| | - H Soon Gweon
- School of Biological Sciences, University of Reading, Reading, RG6 6UR, UK
| | - Daniel S Read
- UK Centre for Ecology & Hydrology (UKCEH), Wallingford, Oxfordshire, OX10 8BB, UK
| | - Ujala Sayed
- UK Centre for Ecology & Hydrology (UKCEH), Wallingford, Oxfordshire, OX10 8BB, UK
| | - Joanna Savage
- UK Centre for Ecology & Hydrology (UKCEH), Wallingford, Oxfordshire, OX10 8BB, UK
| | - Jim Bacon
- UK Centre for Ecology & Hydrology (UKCEH), Lancaster Environment Centre, Library Ave., Bailrigg, Lancaster, LA1 4AP, UK
| | - Emily Upcott
- UK Centre for Ecology & Hydrology (UKCEH), Wallingford, Oxfordshire, OX10 8BB, UK
| | - Katherine Howell
- UK Centre for Ecology & Hydrology (UKCEH), Wallingford, Oxfordshire, OX10 8BB, UK
| | - Katharine Turvey
- UK Centre for Ecology & Hydrology (UKCEH), Wallingford, Oxfordshire, OX10 8BB, UK
| | - David B Roy
- UK Centre for Ecology & Hydrology (UKCEH), Wallingford, Oxfordshire, OX10 8BB, UK
| | - M Gloria Pereira
- UK Centre for Ecology & Hydrology (UKCEH), Lancaster Environment Centre, Library Ave., Bailrigg, Lancaster, LA1 4AP, UK
| | - Darren Sleep
- UK Centre for Ecology & Hydrology (UKCEH), Lancaster Environment Centre, Library Ave., Bailrigg, Lancaster, LA1 4AP, UK
| | - Arran Greenop
- UK Centre for Ecology & Hydrology (UKCEH), Wallingford, Oxfordshire, OX10 8BB, UK
| | - Richard F Pywell
- UK Centre for Ecology & Hydrology (UKCEH), Wallingford, Oxfordshire, OX10 8BB, UK
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172
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Hempel CA, Wright N, Harvie J, Hleap JS, Adamowicz S, Steinke D. Metagenomics versus total RNA sequencing: most accurate data-processing tools, microbial identification accuracy and perspectives for ecological assessments. Nucleic Acids Res 2022; 50:9279-9293. [PMID: 35979944 PMCID: PMC9458450 DOI: 10.1093/nar/gkac689] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2022] [Revised: 07/05/2022] [Accepted: 07/29/2022] [Indexed: 12/24/2022] Open
Abstract
Metagenomics and total RNA sequencing (total RNA-Seq) have the potential to improve the taxonomic identification of diverse microbial communities, which could allow for the incorporation of microbes into routine ecological assessments. However, these target-PCR-free techniques require more testing and optimization. In this study, we processed metagenomics and total RNA-Seq data from a commercially available microbial mock community using 672 data-processing workflows, identified the most accurate data-processing tools, and compared their microbial identification accuracy at equal and increasing sequencing depths. The accuracy of data-processing tools substantially varied among replicates. Total RNA-Seq was more accurate than metagenomics at equal sequencing depths and even at sequencing depths almost one order of magnitude lower than those of metagenomics. We show that while data-processing tools require further exploration, total RNA-Seq might be a favorable alternative to metagenomics for target-PCR-free taxonomic identifications of microbial communities and might enable a substantial reduction in sequencing costs while maintaining accuracy. This could be particularly an advantage for routine ecological assessments, which require cost-effective yet accurate methods, and might allow for the incorporation of microbes into ecological assessments.
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Affiliation(s)
- Christopher A Hempel
- To whom correspondence should be addressed. Tel: +1 519 824 4120; Fax: +1 519 824 5703;
| | - Natalie Wright
- Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Julia Harvie
- Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Jose S Hleap
- SHARCNET, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Sarah J Adamowicz
- Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada
| | - Dirk Steinke
- Department of Integrative Biology, University of Guelph, Guelph, ON N1G 2W1, Canada,Centre for Biodiversity Genomics, University of Guelph, Guelph, ON N1G 2W1, Canada
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173
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Genomic data is missing for many highly invasive species, restricting our preparedness for escalating incursion rates. Sci Rep 2022; 12:13987. [PMID: 35977991 PMCID: PMC9385848 DOI: 10.1038/s41598-022-17937-y] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 08/03/2022] [Indexed: 11/14/2022] Open
Abstract
Biological invasions drive environmental change, potentially threatening native biodiversity, human health, and global economies. Population genomics is an increasingly popular tool in invasion biology, improving accuracy and providing new insights into the genetic factors that underpin invasion success compared to research based on a small number of genetic loci. We examine the extent to which population genomic resources, including reference genomes, have been used or are available for invasive species research. We find that 82% of species on the International Union for Conservation of Nature “100 Worst Invasive Alien Species” list have been studied using some form of population genetic data, but just 32% of these species have been studied using population genomic data. Further, 55% of the list’s species lack a reference genome. With incursion rates escalating globally, understanding how genome-driven processes facilitate invasion is critical, but despite a promising trend of increasing uptake, “invasion genomics” is still in its infancy. We discuss how population genomic data can enhance our understanding of biological invasion and inform proactive detection and management of invasive species, and we call for more research that specifically targets this area.
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174
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Salmaso N, Vasselon V, Rimet F, Vautier M, Elersek T, Boscaini A, Donati C, Moretto M, Pindo M, Riccioni G, Stefani E, Capelli C, Lepori F, Kurmayer R, Mischke U, Klemenčič AK, Novak K, Greco C, Franzini G, Fusato G, Giacomazzi F, Lea A, Menegon S, Zampieri C, Macor A, Virgilio D, Zanut E, Zorza R, Buzzi F, Domaizon I. DNA sequence and taxonomic gap analyses to quantify the coverage of aquatic cyanobacteria and eukaryotic microalgae in reference databases: Results of a survey in the Alpine region. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 834:155175. [PMID: 35421505 DOI: 10.1016/j.scitotenv.2022.155175] [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: 01/19/2022] [Revised: 04/05/2022] [Accepted: 04/07/2022] [Indexed: 06/14/2023]
Abstract
The taxonomic identification of organisms based on the amplification of specific genetic markers (metabarcoding) implicitly requires adequate discriminatory information and taxonomic coverage of environmental DNA sequences in taxonomic databases. These requirements were quantitatively examined by comparing the determination of cyanobacteria and microalgae obtained by metabarcoding and light microscopy. We used planktic and biofilm samples collected in 37 lakes and 22 rivers across the Alpine region. We focused on two of the most used and best represented genetic markers in the reference databases, namely the 16S rRNA and 18S rRNA genes. A sequence gap analysis using blastn showed that, in the identity range of 99-100%, approximately 30% (plankton) and 60% (biofilm) of the sequences did not find any close counterpart in the reference databases (NCBI GenBank). Similarly, a taxonomic gap analysis showed that approximately 50% of the cyanobacterial and eukaryotic microalgal species identified by light microscopy were not represented in the reference databases. In both cases, the magnitude of the gaps differed between the major taxonomic groups. Even considering the species determined under the microscope and represented in the reference databases, 22% and 26% were still not included in the results obtained by the blastn at percentage levels of identity ≥95% and ≥97%, respectively. The main causes were the absence of matching sequences due to amplification and/or sequencing failure and potential misidentification in the microscopy step. Our results quantitatively demonstrated that in metabarcoding the main obstacles in the classification of 16S rRNA and 18S rRNA sequences and interpretation of high-throughput sequencing biomonitoring data were due to the existence of important gaps in the taxonomic completeness of the reference databases and the short length of reads. The study focused on the Alpine region, but the extent of the gaps could be much greater in other less investigated geographic areas.
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Affiliation(s)
- Nico Salmaso
- Research and Innovation Centre, Fondazione Edmund Mach, via E. Mach 1, 38098 San Michele all'Adige, Italy.
| | - Valentin Vasselon
- OFB, Pôle R&D ECLA, Site INRAE CARRTEL, 75bis av. de Corzent - CS 50511, FR-74203 Thonon les Bains cedex, France.
| | - Frédéric Rimet
- INRAE, UMR Carrtel, Université Savoie Mont Blanc, Pole R&D ECLA, 75bis av. de Corzent - CS 50511, FR-74203 Thonon les Bains cedex, France.
| | - Marine Vautier
- INRAE, UMR Carrtel, Université Savoie Mont Blanc, Pole R&D ECLA, 75bis av. de Corzent - CS 50511, FR-74203 Thonon les Bains cedex, France.
| | - Tina Elersek
- National Institute of Biology, Večna pot 111, 1000 Ljubljana, Slovenia.
| | - Adriano Boscaini
- Research and Innovation Centre, Fondazione Edmund Mach, via E. Mach 1, 38098 San Michele all'Adige, Italy.
| | - Claudio Donati
- Research and Innovation Centre, Fondazione Edmund Mach, via E. Mach 1, 38098 San Michele all'Adige, Italy.
| | - Marco Moretto
- Research and Innovation Centre, Fondazione Edmund Mach, via E. Mach 1, 38098 San Michele all'Adige, Italy.
| | - Massimo Pindo
- Research and Innovation Centre, Fondazione Edmund Mach, via E. Mach 1, 38098 San Michele all'Adige, Italy.
| | - Giulia Riccioni
- Research and Innovation Centre, Fondazione Edmund Mach, via E. Mach 1, 38098 San Michele all'Adige, Italy
| | - Erika Stefani
- Research and Innovation Centre, Fondazione Edmund Mach, via E. Mach 1, 38098 San Michele all'Adige, Italy.
| | - Camilla Capelli
- Institute of Earth Sciences, University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Via Flora Ruchat-Roncati 15, 6850 Mendrisio, Switzerland.
| | - Fabio Lepori
- Institute of Earth Sciences, University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Via Flora Ruchat-Roncati 15, 6850 Mendrisio, Switzerland.
| | - Rainer Kurmayer
- Research Department for Limnology, University of Innsbruck, Mondseestraße 9, 5310 Mondsee, Austria.
| | - Ute Mischke
- Bavarian Environment Agency, Ref. 83, Wielenbach, Germany.
| | | | - Katarina Novak
- Slovenian Environment Agency, Vojkova 1b, 1000 Ljubljana, Slovenia.
| | - Claudia Greco
- Italian National Institute for Environmental Protection and Research (ISPRA), Ozzano, Italy.
| | - Giorgio Franzini
- ARPAV, Regional Agency for Environmental Protection and Prevention of Veneto, Via A. Dominutti 8, 37135 Verona, Italy.
| | - Giampaolo Fusato
- ARPAV, Regional Agency for Environmental Protection and Prevention of Veneto, Via A. Dominutti 8, 37135 Verona, Italy.
| | - Federica Giacomazzi
- ARPAV, Regional Agency for Environmental Protection and Prevention of Veneto, Via A. Dominutti 8, 37135 Verona, Italy.
| | - Alessia Lea
- ARPAV, Regional Agency for Environmental Protection and Prevention of Veneto, Via Ospedale Civile 24, 35121 Padova, Italy.
| | - Silvia Menegon
- ARPAV, Regional Agency for Environmental Protection and Prevention of Veneto, Via Santa Barbara 5/a, 31100 Treviso, Italy.
| | - Chiara Zampieri
- ARPAV, Regional Agency for Environmental Protection and Prevention of Veneto, Via A. Dominutti 8, 37135 Verona, Italy.
| | - Arianna Macor
- ARPA FVG, Regional Environmental Protection Agency of Friuli Venezia Giulia, Via Cairoli 14, 33057 Palmanova, UD, Italy.
| | - Damiano Virgilio
- ARPA FVG, Regional Environmental Protection Agency of Friuli Venezia Giulia, Via Cairoli 14, 33057 Palmanova, UD, Italy.
| | - Elisa Zanut
- ARPA FVG, Regional Environmental Protection Agency of Friuli Venezia Giulia, Via Cairoli 14, 33057 Palmanova, UD, Italy.
| | - Raffaella Zorza
- ARPA FVG, Regional Environmental Protection Agency of Friuli Venezia Giulia, Via Cairoli 14, 33057 Palmanova, UD, Italy.
| | - Fabio Buzzi
- ARPA Lombardia, Sede di Lecco, U.O. Laghi e Monitoraggio Biologico Fiumi, Italy.
| | - Isabelle Domaizon
- INRAE, UMR Carrtel, Université Savoie Mont Blanc, Pole R&D ECLA, 75bis av. de Corzent - CS 50511, FR-74203 Thonon les Bains cedex, France.
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175
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Sakata MK, Sato M, Sato MO, Watanabe T, Mitsuishi H, Hikitsuchi T, Kobayashi J, Minamoto T. Detection and persistence of environmental DNA (eDNA) of the different developmental stages of a vector mosquito, Culex pipiens pallens. PLoS One 2022; 17:e0272653. [PMID: 35947597 PMCID: PMC9365122 DOI: 10.1371/journal.pone.0272653] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2021] [Accepted: 07/24/2022] [Indexed: 11/18/2022] Open
Abstract
Preventing mosquito-borne infectious diseases requires that vector mosquitoes are monitored and controlled. Targeting immature mosquitoes (eggs, larvae, and pupae), which have less mobility than adults, is an effective management approach. However, conducting these surveys is often difficult due to the limitations of morphological classification and survey costs. The application of environmental DNA (eDNA) analysis can solve these issues because it allows easy estimation of species distribution and morphology-independent species identification. Although a few previous studies have reported mosquito eDNA detection, there is a gap in knowledge regarding the dynamics related to the persistence of immature mosquito eDNA. We used Culex pipiens pallens, a vector of West Nile fever, as a model species. First, we developed a species-specific detection assay and confirmed its specificity using in silico and in vitro tests. Next, we conducted laboratory experiments using breeding tanks. Water samples were collected at each developmental stage. In addition, water samples were collected daily until the seventh day after emergence from the pupae. We quantified eDNA using real-time PCR with the developed assay to investigate the dynamics of mosquito eDNA. The specificity of the developed assay was confirmed by in silico and in vitro tests. Mosquito eDNA was detected at all developmental stages and detected up to seven days after emergence of pupae. In particular, high concentrations of eDNA were detected immediately after hatching from eggs and after emergence from pupae. Highly frequent positive eDNA signals were continuously detected between egg hatching and pupa hatching. Mosquito eDNA was detected immediately after the eggs were introduced, and eDNA-positive detections continued until pupae emergence, suggesting that eDNA analysis is useful for monitoring mosquito larvae. In the future, monitoring immature mosquitoes using eDNA analysis will contribute to prevent mosquito-borne infectious diseases.
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Affiliation(s)
- Masayuki K. Sakata
- Graduate School of Human Development and Environment, Kobe University, Kobe City, Japan
- Kobe University Innovation, Co., Ltd, Kobe City, Japan
- * E-mail:
| | - Megumi Sato
- Graduate School of Health Sciences, Niigata University, Niigata, Japan
| | - Marcello Otake Sato
- Laboratory of Tropical Medicine and Parasitology, Dokkyo Medical University, Tochigi, Japan
| | - Tomoe Watanabe
- Dainihon Jochugiku Co., Ltd Research & Development Laboratory Biological Research Section 1–11, Osaka, Japan
| | - Honami Mitsuishi
- Dainihon Jochugiku Co., Ltd Research & Development Laboratory Biological Research Section 1–11, Osaka, Japan
| | - Tomoyuki Hikitsuchi
- Dainihon Jochugiku Co., Ltd Research & Development Laboratory Biological Research Section 1–11, Osaka, Japan
| | - Jun Kobayashi
- Graduate School of Health Sciences, University of the Ryukyus, Okinawa, Japan
| | - Toshifumi Minamoto
- Graduate School of Human Development and Environment, Kobe University, Kobe City, Japan
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176
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Kirse A, Bourlat SJ, Langen K, Zapke B, Zizka VMA. Comparison of destructive and non-destructive DNA extraction methods for the metabarcoding of arthropod bulk samples. Mol Ecol Resour 2022; 23:92-105. [PMID: 35932285 DOI: 10.1111/1755-0998.13694] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 07/07/2022] [Accepted: 07/25/2022] [Indexed: 11/28/2022]
Abstract
DNA metabarcoding is routinely used for biodiversity assessment, especially targeting highly diverse groups for which limited taxonomic expertise is available. Various protocols are currently in use, although standardization is key to its application in large-scale monitoring. DNA metabarcoding of arthropod bulk samples can be either conducted destructively from sample tissue, or non-destructively from sample fixative or lysis buffer. Non-destructive methods are highly desirable for the preservation of sample integrity but have yet to be experimentally evaluated in detail. Here, we compare diversity estimates from 14 size sorted Malaise trap samples processed consecutively with three non-destructive approaches (one using fixative ethanol and two using lysis buffers) and one destructive approach (using homogenized tissue). Extraction from commercial lysis buffer yielded comparable species richness and high overlap in species composition to the ground tissue extracts. A significantly divergent community was detected from preservative ethanol-based DNA extraction. No consistent trend in species richness was found with increasing incubation time in lysis buffer. These results indicate that non-destructive DNA extraction from incubation in lysis buffer could provide a comparable alternative to destructive approaches with the added advantage of preserving the specimens for post-metabarcoding taxonomic work but at a higher cost per sample.
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Affiliation(s)
- Ameli Kirse
- LIB/Zoological Research Museum Alexander Koenig (ZFMK), Centre for Biodiversity Monitoring, Bonn, Germany
| | - Sarah J Bourlat
- LIB/Zoological Research Museum Alexander Koenig (ZFMK), Centre for Biodiversity Monitoring, Bonn, Germany
| | - Kathrin Langen
- LIB/Zoological Research Museum Alexander Koenig (ZFMK), Centre for Biodiversity Monitoring, Bonn, Germany
| | - Björn Zapke
- LIB/Zoological Research Museum Alexander Koenig (ZFMK), Centre for Biodiversity Monitoring, Bonn, Germany
| | - Vera M A Zizka
- LIB/Zoological Research Museum Alexander Koenig (ZFMK), Centre for Biodiversity Monitoring, Bonn, Germany
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177
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Chen X, Kong Y, Zhang S, Zhao J, Li S, Yao M. Comparative Evaluation of Common Materials as Passive Samplers of Environmental DNA. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:10798-10807. [PMID: 35856738 DOI: 10.1021/acs.est.2c02506] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Environmental DNA (eDNA) technology has revolutionized biomonitoring in recent years; however, eDNA collection from aquatic environments generally relies on the time-consuming and equipment-dependent process of water filtration. Passive eDNA sampling deploys sorbent materials to capture eDNA from water, circumventing many problems associated with active filtration; yet, very few candidate materials have been systematically evaluated for this purpose. Here, we evaluated the ability of 12 different types of common loose sorbents and filter membranes to capture eDNA in laboratory and field experiments compared with conventional water filtration. Glass fiber filters (GF) outperformed all other materials in laboratory experiments with respect to their quantitative capacity to recover amphibian eDNA, with the eDNA yield increasing linearly with submersion time up to 72 h. Furthermore, GF rapidly (within 0.5 h) captured the eDNA of up to 71% of the total fish species in a lake, in addition to detecting the entire fish community by 8 h, as assessed by metabarcoding analysis. Our results demonstrate that GF could passively capture aqueous eDNA with a similar or greater efficiency than conventional methods, thus paving the way for convenient, effective, and eco-friendly eDNA sampling in aquatic environments.
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Affiliation(s)
- Xiaoyu Chen
- School of Life Sciences, Peking University, Beijing 100871, China
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Yueqiao Kong
- School of Life Sciences, Peking University, Beijing 100871, China
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Shan Zhang
- School of Life Sciences, Peking University, Beijing 100871, China
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Jindong Zhao
- School of Life Sciences, Peking University, Beijing 100871, China
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Sheng Li
- School of Life Sciences, Peking University, Beijing 100871, China
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
| | - Meng Yao
- School of Life Sciences, Peking University, Beijing 100871, China
- Institute of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China
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178
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Banerjee P, Stewart KA, Dey G, Antognazza CM, Sharma RK, Maity JP, Saha S, Doi H, de Vere N, Chan MWY, Lin PY, Chao HC, Chen CY. Environmental DNA analysis as an emerging non-destructive method for plant biodiversity monitoring: a review. AOB PLANTS 2022; 14:plac031. [PMID: 35990516 PMCID: PMC9389569 DOI: 10.1093/aobpla/plac031] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Accepted: 06/30/2022] [Indexed: 06/15/2023]
Abstract
Environmental DNA (eDNA) analysis has recently transformed and modernized biodiversity monitoring. The accurate detection, and to some extent quantification, of organisms (individuals/populations/communities) in environmental samples is galvanizing eDNA as a successful cost and time-efficient biomonitoring technique. Currently, eDNA's application to plants remains more limited in implementation and scope compared to animals and microorganisms. This review evaluates the development of eDNA-based methods for (vascular) plants, comparing its performance and power of detection with that of traditional methods, to critically evaluate and advise best-practices needed to innovate plant biomonitoring. Recent advancements, standardization and field applications of eDNA-based methods have provided enough scope to utilize it in conservation biology for numerous organisms. Despite our review demonstrating only 13% of all eDNA studies focus on plant taxa to date, eDNA has considerable environmental DNA has considerable potential for plants, where successful detection of invasive, endangered and rare species, and community-level interpretations have provided proof-of-concept. Monitoring methods using eDNA were found to be equal or more effective than traditional methods; however, species detection increased when both methods were coupled. Additionally, eDNA methods were found to be effective in studying species interactions, community dynamics and even effects of anthropogenic pressure. Currently, elimination of potential obstacles (e.g. lack of relevant DNA reference libraries for plants) and the development of user-friendly protocols would greatly contribute to comprehensive eDNA-based plant monitoring programs. This is particularly needed in the data-depauperate tropics and for some plant groups (e.g., Bryophytes and Pteridophytes). We further advocate to coupling traditional methods with eDNA approaches, as the former is often cheaper and methodologically more straightforward, while the latter offers non-destructive approaches with increased discrimination ability. Furthermore, to make a global platform for eDNA, governmental and academic-industrial collaborations are essential to make eDNA surveys a broadly adopted and implemented, rapid, cost-effective and non-invasive plant monitoring approach.
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Affiliation(s)
- Pritam Banerjee
- Department of Biomedical Sciences, Graduate Institute of Molecular Biology, National Chung Cheng University, 168 University Road, Min-Hsiung, Chiayi County 62102, Taiwan
- Department of Earth and Environmental Sciences, National Chung Cheng University, 168 University Road, Min-Hsiung, Chiayi County 62102, Taiwan
| | - Kathryn A Stewart
- Institute of Environmental Science, Leiden University, 2333 CC Leiden, The Netherlands
| | - Gobinda Dey
- Department of Biomedical Sciences, Graduate Institute of Molecular Biology, National Chung Cheng University, 168 University Road, Min-Hsiung, Chiayi County 62102, Taiwan
- Department of Earth and Environmental Sciences, National Chung Cheng University, 168 University Road, Min-Hsiung, Chiayi County 62102, Taiwan
| | - Caterina M Antognazza
- Department of Theoretical and Applied Science, University of Insubria, Via J.H. Dunant, 3, 21100 Varese, Italy
| | - Raju Kumar Sharma
- Department of Earth and Environmental Sciences, National Chung Cheng University, 168 University Road, Min-Hsiung, Chiayi County 62102, Taiwan
- Department of Chemistry and Biochemistry, National Chung Cheng University, 168 University Road, Min-Hsiung, Chiayi County 62102, Taiwan
| | - Jyoti Prakash Maity
- Department of Chemistry, School of Applied Sciences, KIIT Deemed to be University, Bhubaneswar, Odisha 751024, India
| | - Santanu Saha
- Post Graduate Department of Botany, Bidhannagar College, Salt Lake City, Kolkata 700064, India
| | - Hideyuki Doi
- Graduate School of Information Science, University of Hyogo, 7-1-28 Minatojima-minamimachi, Chuo-ku, Kobe 650-0047, Japan
| | - Natasha de Vere
- Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, 1350 Copenhagen K
| | - Michael W Y Chan
- Department of Biomedical Sciences, Graduate Institute of Molecular Biology, National Chung Cheng University, 168 University Road, Min-Hsiung, Chiayi County 62102, Taiwan
| | - Pin-Yun Lin
- Department of Earth and Environmental Sciences, National Chung Cheng University, 168 University Road, Min-Hsiung, Chiayi County 62102, Taiwan
- Department of Chemistry and Biochemistry, National Chung Cheng University, 168 University Road, Min-Hsiung, Chiayi County 62102, Taiwan
| | - Hung-Chun Chao
- Department of Earth and Environmental Sciences, National Chung Cheng University, 168 University Road, Min-Hsiung, Chiayi County 62102, Taiwan
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179
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A Critical Assessment of the Congruency between Environmental DNA and Palaeoecology for the Biodiversity Monitoring and Palaeoenvironmental Reconstruction. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19159445. [PMID: 35954801 PMCID: PMC9368151 DOI: 10.3390/ijerph19159445] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/01/2022] [Revised: 07/25/2022] [Accepted: 07/27/2022] [Indexed: 02/01/2023]
Abstract
The present study suggests that standardized methodology, careful site selection, and stratigraphy are essential for investigating ancient ecosystems in order to evaluate biodiversity and DNA-based time series. Based on specific keywords, this investigation reviewed 146 publications using the SCOPUS, Web of Science (WoS), PUBMED, and Google Scholar databases. Results indicate that environmental deoxyribose nucleic acid (eDNA) can be pivotal for assessing and conserving ecosystems. Our review revealed that in the last 12 years (January 2008–July 2021), 63% of the studies based on eDNA have been reported from aquatic ecosystems, 25% from marine habitats, and 12% from terrestrial environments. Out of studies conducted in aquatic systems using the environmental DNA (eDNA) technique, 63% of the investigations have been reported from freshwater ecosystems, with an utmost focus on fish diversity (40%). Further analysis of the literature reveals that during the same period, 24% of the investigations using the environmental DNA technique were carried out on invertebrates, 8% on mammals, 7% on plants, 6% on reptiles, and 5% on birds. The results obtained clearly indicate that the environmental DNA technique has a clear-cut edge over other biodiversity monitoring methods. Furthermore, we also found that eDNA, in conjunction with different dating techniques, can provide better insight into deciphering eco-evolutionary feedback. Therefore, an attempt has been made to offer extensive information on the application of dating methods for different taxa present in diverse ecosystems. Last, we provide suggestions and elucidations on how to overcome the caveats and delineate some of the research avenues that will likely shape this field in the near future. This paper aims to identify the gaps in environmental DNA (eDNA) investigations to help researchers, ecologists, and decision-makers to develop a holistic understanding of environmental DNA (eDNA) and its utility as a palaeoenvironmental contrivance.
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180
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DiBattista JD, Fowler AM, Riley IJ, Reader S, Hay A, Parkinson K, Hobbs JPA. The use of environmental DNA to monitor impacted coastal estuaries. MARINE POLLUTION BULLETIN 2022; 181:113860. [PMID: 35779383 DOI: 10.1016/j.marpolbul.2022.113860] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2022] [Revised: 06/13/2022] [Accepted: 06/14/2022] [Indexed: 06/15/2023]
Abstract
Environmental DNA (eDNA) metabarcoding is increasingly being used to assess community composition in coastal ecosystems. In this study, we chose to examine temporal and spatial changes in the aquatic community of Manly Lagoon - one of the most heavily developed and polluted estuaries in eastern Australia. Based on metabarcoding of the 16S mitochondrial gene (for fish) and the 18S nuclear gene (for macroinvertebrates), we identified seasonal differences in fish and macroinvertebrate community composition as well as species richness, which correlated, in some cases, with the environmental parameters of sea surface temperature and freshwater input. Moreover, given the greater taxonomic resolution of fish versus macroinvertebrate assignments, we identified several known migratory fish species of management importance that contributed significantly to the overall patterns observed. Overall, our data support the use of eDNA metabarcoding to track fish assemblages shifting in response to environmental drivers in polluted estuaries with increased sampling and consultation with historical data.
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Affiliation(s)
- Joseph D DiBattista
- Australian Museum Research Institute, Australian Museum, Sydney, NSW 2010, Australia.
| | - Ashley M Fowler
- New South Wales Department of Primary Industries, Sydney Institute of Marine Science, Mosman, NSW 2088, Australia
| | - Indiana J Riley
- School of Biological, Earth and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia; Sydney Institute of Marine Science, Mosman, NSW 2088, Australia
| | - Sally Reader
- Australian Museum Research Institute, Australian Museum, Sydney, NSW 2010, Australia
| | - Amanda Hay
- Australian Museum Research Institute, Australian Museum, Sydney, NSW 2010, Australia
| | - Kerryn Parkinson
- Australian Museum Research Institute, Australian Museum, Sydney, NSW 2010, Australia
| | - Jean-Paul A Hobbs
- School of Biological Sciences, University of Queensland, Brisbane, QLD 4069, Australia
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181
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Diversity and ecology of fungal assemblages present in lake sediments at Clearwater Mesa, James Ross Island, Antarctica, assessed using metabarcoding of environmental DNA. Fungal Biol 2022; 126:640-647. [DOI: 10.1016/j.funbio.2022.08.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 07/23/2022] [Accepted: 08/08/2022] [Indexed: 11/19/2022]
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182
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Zhang J, Ding R, Wang Y, Wen J. Experimental study on the response relationship between environmental DNA concentration and biomass of Schizothorax prenanti in still water. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.972680] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
The superiority of the environmental DNA (eDNA) method for estimating the biomass of aquatic species has been demonstrated. However, the relationship between eDNA concentration and biomass is difficult to clarify under the influence of complex water flow and habitat conditions. It seriously restricts the popularization and application of the eDNA method in estimating aquatic biomass. In this paper, a typical fish species of rivers in southwest China, Schizothorax prenanti, was selected as the target species. Under standardized laboratory hydrostatic conditions, two environmental factors, water pH and water temperature were firstly determined through pre-experiments. Then we investigated the correlation between eDNA concentration and biomass under different body sizes and different body size compositions. The experimental results showed that water pH and the water temperature had a great influence on eDNA concentration. Therefore, the effects of these environmental factors need to be considered simultaneously when using eDNA concentration to estimate biomass. Under the premise of consistent environmental conditions, the biomass of Schizothorax prenanti was positively correlated with the eDNA concentration when the individual body size was the same. For each 1% increase in biomass of the fish, the eDNA concentration of adult (larger size) fish increased by 0.98%, while the eDNA concentration of juvenile (smaller size) fish increased by 1.38%. The smaller the size of individual fish, the greater the increase of eDNA concentration with biomass, and the increase of juvenile fish was about 1.4 times that the adult fish. When the biomass was the same but the body size composition was different, the higher the proportion of small body size individuals in the population, the higher the eDNA concentration. Special attention needs to be paid to the body size composition of the population to avoid the biomass estimation being lower than the actual value when the smaller size fish are dominant. The experimental results provide a strong basis for a more accurate estimation of aquatic biomass in reservoirs, lakes, and other still water areas by using the eDNA method.
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183
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Thompson LR, Anderson SR, Den Uyl PA, Patin NV, Lim SJ, Sanderson G, Goodwin KD. Tourmaline: A containerized workflow for rapid and iterable amplicon sequence analysis using QIIME 2 and Snakemake. Gigascience 2022; 11:6651346. [PMID: 35902092 PMCID: PMC9334028 DOI: 10.1093/gigascience/giac066] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2021] [Revised: 02/28/2022] [Accepted: 06/15/2022] [Indexed: 12/21/2022] Open
Abstract
Background Amplicon sequencing (metabarcoding) is a common method to survey diversity of environmental communities whereby a single genetic locus is amplified and sequenced from the DNA of whole or partial organisms, organismal traces (e.g., skin, mucus, feces), or microbes in an environmental sample. Several software packages exist for analyzing amplicon data, among which QIIME 2 has emerged as a popular option because of its broad functionality, plugin architecture, provenance tracking, and interactive visualizations. However, each new analysis requires the user to keep track of input and output file names, parameters, and commands; this lack of automation and standardization is inefficient and creates barriers to meta-analysis and sharing of results. Findings We developed Tourmaline, a Python-based workflow that implements QIIME 2 and is built using the Snakemake workflow management system. Starting from a configuration file that defines parameters and input files—a reference database, a sample metadata file, and a manifest or archive of FASTQ sequences—it uses QIIME 2 to run either the DADA2 or Deblur denoising algorithm; assigns taxonomy to the resulting representative sequences; performs analyses of taxonomic, alpha, and beta diversity; and generates an HTML report summarizing and linking to the output files. Features include support for multiple cores, automatic determination of trimming parameters using quality scores, representative sequence filtering (taxonomy, length, abundance, prevalence, or ID), support for multiple taxonomic classification and sequence alignment methods, outlier detection, and automated initialization of a new analysis using previous settings. The workflow runs natively on Linux and macOS or via a Docker container. We ran Tourmaline on a 16S ribosomal RNA amplicon data set from Lake Erie surface water, showing its utility for parameter optimization and the ability to easily view interactive visualizations through the HTML report, QIIME 2 viewer, and R- and Python-based Jupyter notebooks. Conclusion Automated workflows like Tourmaline enable rapid analysis of environmental amplicon data, decreasing the time from data generation to actionable results. Tourmaline is available for download at github.com/aomlomics/tourmaline.
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Affiliation(s)
- Luke R Thompson
- Northern Gulf Institute, Mississippi State University, Mississippi State, MS 39762, USA.,Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL 33149, USA
| | - Sean R Anderson
- Northern Gulf Institute, Mississippi State University, Mississippi State, MS 39762, USA.,Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL 33149, USA
| | - Paul A Den Uyl
- Cooperative Institute for Great Lakes Research, University of Michigan, Ann Arbor, MI 48108, USA
| | - Nastassia V Patin
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL 33149, USA.,Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL 33149, USA
| | - Shen Jean Lim
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL 33149, USA.,Cooperative Institute for Marine and Atmospheric Studies, Rosenstiel School of Marine and Atmospheric Science, University of Miami, Miami, FL 33149, USA
| | - Grant Sanderson
- Marine Science Department, University of Hawaii, Hilo, HI 96720, USA
| | - Kelly D Goodwin
- Ocean Chemistry and Ecosystems Division, Atlantic Oceanographic and Meteorological Laboratory, National Oceanic and Atmospheric Administration, Miami, FL 33149, USA
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184
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Hajibabaei M. Demystifying eDNA validation. Trends Ecol Evol 2022; 37:826-828. [PMID: 35902292 DOI: 10.1016/j.tree.2022.06.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 06/27/2022] [Accepted: 06/30/2022] [Indexed: 11/28/2022]
Abstract
As environmental DNA (eDNA) approaches gain momentum for biodiversity analysis, validation becomes a key consideration. I focus on four facets of eDNA validation. Validation through technical processes, legal use, official statements, and 'good enough' scenarios can advance the field to aid societal issues such as climate emergency and biodiversity crisis.
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Affiliation(s)
- Mehrdad Hajibabaei
- Centre for Biodiversity Genomics & Department of Integrative Biology, University of Guelph, 50 Stone Road East, Guelph, ON, Canada N1G 2W1; Centre for Environmental Genomics Applications, eDNAtec Inc., 14 International Place Unit 103, St. John's, NL, Canada A1A 0R6.
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185
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Swenson SJ, Eichler L, Hörren T, Kolter A, Köthe S, Lehmann GUC, Meinel G, Mühlethaler R, Sorg M, Gemeinholzer B. The potential of metabarcoding plant components of Malaise trap samples to enhance knowledge of plant-insect interactions. METABARCODING AND METAGENOMICS 2022. [DOI: 10.3897/mbmg.6.85213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
The worldwide rapid declines in insect and plant abundance and diversity that have occurred in the past decades have gained public attention and demand for political actions to counteract these declines are growing. Rapid large-scale biomonitoring can aid in observing these changes and provide information for decisions for land management and species protection. Malaise traps have long been used for insect sampling and when insects are captured in these traps, they carry traces of plants they have visited on the body surface or as digested food material in the gut contents. Metabarcoding offers a promising method for identifying these plant traces, providing insight into the plants with which insects are directly interacting at a given time. To test the efficacy of DNA metabarcoding with these sample types, 79 samples from 21 sites across Germany were analysed with the ITS2 barcode. This study, to our knowledge, is the first examination of metabarcoding plant DNA traces from Malaise trap samples. Here, we report on the feasibility of sequencing these sample types, analysis of the resulting taxa, the usage of cultivated plants by insects near nature conservancy areas and the detection of rare and neophyte species. Due to the frequency of contamination and false positive reads, isolation and PCR negative controls should be used in every reaction. Metabarcoding has advantages in efficiency and resolution over microscopic identification of pollen and is the only possible identification method for the other plant traces from Malaise traps and could provide a broad utility for future studies of plant-insect interactions.
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186
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SIMONS ARIELLEVI, CALDWELL STEVIE, FU MICHELLE, GALLEGOS JOSE, GATHERU MICHAEL, RICCARDELLI LAURA, TRUONG NHI, VIERA VALERIA. Constructing ecological indices for urban environments using species distribution models. Urban Ecosyst 2022. [DOI: 10.1007/s11252-022-01265-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
AbstractIn an increasingly urbanized world, there is a need to study urban areas as their own class of ecosystems as well as assess the impacts of anthropogenic impacts on biodiversity. However, collecting a sufficient number of species observations to estimate patterns of biodiversity in a city can be costly. Here we investigated the use of community science-based data on species occurrences, combined with species distribution models (SDMs), built using MaxEnt and remotely-sensed measures of the environment, to predict the distribution of a number of species across the urban environment of Los Angeles. By selecting species with the most accurate SDMs, and then summarizing these by class, we were able to produce two species richness models (SRMs) to predict biodiversity patterns for species in the class Aves and Magnoliopsida and how they respond to a variety of natural and anthropogenic environmental gradients.We found that species considered native to Los Angeles tend to have significantly more accurate SDMs than their non-native counterparts. For all species considered in this study we found environmental variables describing anthropogenic activities, such as housing density and alterations to land cover, tend to be more influential than natural factors, such as terrain and proximity to freshwater, in shaping SDMs. Using a random forest model we found our SRMs could account for approximately 54% and 62% of the predicted variation in species richness for species in the classes Aves and Magnoliopsida respectively. Using community science-based species occurrences, SRMs can be used to model patterns of urban biodiversity and assess the roles of environmental factors in shaping them.
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187
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Seeber PA, Epp LS. Environmental
DNA
and metagenomics of terrestrial mammals as keystone taxa of recent and past ecosystems. Mamm Rev 2022. [DOI: 10.1111/mam.12302] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Affiliation(s)
- Peter A. Seeber
- Limnological Institute University of Konstanz Konstanz Germany
| | - Laura S. Epp
- Limnological Institute University of Konstanz Konstanz Germany
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188
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Magoga G, Forni G, Brunetti M, Meral A, Spada A, De Biase A, Montagna M. Curation of a reference database of COI sequences for insect identification through DNA metabarcoding: COins. Database (Oxford) 2022; 2022:6633260. [PMID: 35796594 PMCID: PMC9261288 DOI: 10.1093/database/baac055] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 05/19/2022] [Accepted: 06/17/2022] [Indexed: 11/15/2022]
Abstract
DNA metabarcoding is a widespread approach for the molecular identification of organisms. While the associated wet-lab and data processing procedures are well established and highly efficient, the reference databases for taxonomic assignment can be implemented to improve the accuracy of identifications. Insects are among the organisms for which DNA-based identification is most commonly used; yet, a DNA-metabarcoding reference database specifically curated for their species identification using software requiring local databases is lacking. Here, we present COins, a database of 5’ region cytochrome c oxidase subunit I sequences (COI-5P) of insects that includes over 532 000 representative sequences of >106 000 species specifically formatted for the QIIME2 software platform. Through a combination of automated and manually curated steps, we developed this database starting from all COI sequences available in the Barcode of Life Data System for insects, focusing on sequences that comply with several standards, including a species-level identification. COins was validated on previously published DNA-metabarcoding sequences data (bulk samples from Malaise traps) and its efficiency compared with other publicly available reference databases (not specific for insects). COins can allow an increase of up to 30% of species-level identifications and thus can represent a valuable resource for the taxonomic assignment of insects’ DNA-metabarcoding data, especially when species-level identification is needed https://doi.org/10.6084/m9.figshare.19130465.v1.
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Affiliation(s)
- Giulia Magoga
- Department of Agricultural and Environmental Sciences, University of Milan , Via Celoria 2, Milano 20133, Italy
| | - Giobbe Forni
- Department of Agricultural and Environmental Sciences, University of Milan , Via Celoria 2, Milano 20133, Italy
| | - Matteo Brunetti
- Department of Agricultural and Environmental Sciences, University of Milan , Via Celoria 2, Milano 20133, Italy
| | - Aycan Meral
- Department of Agricultural and Environmental Sciences, University of Milan , Via Celoria 2, Milano 20133, Italy
| | - Alberto Spada
- Department of Agricultural and Environmental Sciences, University of Milan , Via Celoria 2, Milano 20133, Italy
| | - Alessio De Biase
- Department of Biology and Biotechnology ‘Charles Darwin’, Sapienza University of Rome , Viale dell’Università 32, Rome 00185, Italy
| | - Matteo Montagna
- Department of Agricultural Sciences, University of Naples Federico II , Via Università 100, Portici 80055, Italy
- Interuniversity Center for Studies on Bioinspired Agro-Environmental Technology (BAT Center), University of Naples Federico II , Via Università 100, Naples 80055, Italy
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189
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Golpour A, Šmejkal M, Čech M, dos Santos RA, Souza AT, Jůza T, Martínez C, Bartoň D, Vašek M, Draštík V, Kolařík T, Kočvara L, Říha M, Peterka J, Blabolil P. Similarities and Differences in Fish Community Composition Accessed by Electrofishing, Gill Netting, Seining, Trawling, and Water eDNA Metabarcoding in Temperate Reservoirs. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.913279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
It is difficult to understand the composition and diversity of biological communities in complex and heterogeneous environments using traditional sampling methods. Recently, developments in environmental DNA metabarcoding have emerged as a powerful, non-invasive method for comprehensive community characterization and biodiversity monitoring in different types of aquatic ecosystems. In this study, water eDNA targeting fish (wf-eDNA) and four traditional fish sampling methods (electrofishing, gill netting, seining, trawling) were compared to evaluate the reliability and efficiency of wf-eDNA (vertebrate mitochondrial 12S ribosomal RNA (rRNA) as an alternative approach to assess the diversity and composition of freshwater fish communities. The results of wf-eDNA showed a consistency between the traditional sampling methods regarding species detection. However, some fish species detected using wf-eDNA assay were not detected using traditional sampling methods and vice versa. Comparison of wf-eDNA and traditional sampling methods revealed spatial homogeneity in fish community composition in all reservoirs. Ordination analysis showed that the wf-eDNA approach covers all traditional sampling methods and occupies an intermediate position. In addition, based on the Shannon diversity index, we found that in one reservoir the wf-eDNA method yielded similar fish community diversity to traditional sampling methods. However, in other reservoirs, the calculated Shannon diversity index of the wf-eDNA method was significantly higher than traditional sampling methods. In general, significant positive correlations were found between the wf-eDNA method and almost all traditional sampling methods. We conclude that wf-eDNA seems to be a reliable and complementary approach for biomonitoring and ecosystem management of freshwater ichthyofauna.
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190
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Kronenberger JA, Wilcox TM, Mason DH, Franklin TW, McKelvey KS, Young MK, Schwartz MK. eDNAssay: a machine learning tool that accurately predicts qPCR cross-amplification. Mol Ecol Resour 2022; 22:2994-3005. [PMID: 35778862 DOI: 10.1111/1755-0998.13681] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2022] [Revised: 06/24/2022] [Accepted: 06/28/2022] [Indexed: 11/28/2022]
Abstract
Environmental DNA (eDNA) sampling is a highly sensitive and cost-effective technique for wildlife monitoring, notably through the use of qPCR assays. However, it can be difficult to ensure assay specificity when many closely related species cooccur. In theory, specificity may be assessed in silico by determining whether assay oligonucleotides have enough base-pair mismatches with nontarget sequences to preclude amplification. However, the mismatch qualities required are poorly understood, making in silico assessments difficult and often necessitating extensive in vitro testing-typically the greatest bottleneck in assay development. Increasing the accuracy of in silico assessments would therefore streamline the assay development process. In this study, we paired 10 qPCR assays with 82 synthetic gene fragments for 530 specificity tests using SYBR Green intercalating dye (n = 262) and TaqMan hydrolysis probes (n = 268). Test results were used to train random forest classifiers to predict amplification. The primer-only model (SYBR Green-based) and full-assay model (TaqMan probe-based) were 99.6% and 100% accurate, respectively, in cross-validation. We further assessed model performance using six independent assays not used in model training. In these tests the primer-only model was 92.4% accurate (n = 119) and the full-assay model was 96.5% accurate (n = 144). The high performance achieved by these models makes it possible for eDNA practitioners to more quickly and confidently develop assays specific to the intended target. Practitioners can access the full-assay model via eDNAssay (https://NationalGenomicsCenter.shinyapps.io/eDNAssay), a user-friendly online tool for predicting qPCR cross-amplification.
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Affiliation(s)
- J A Kronenberger
- National Genomics Center for Wildlife and Fish Conservation, USFS Rocky Mountain Research Station, 800 East Beckwith Avenue, Missoula, MT, USA
| | - T M Wilcox
- National Genomics Center for Wildlife and Fish Conservation, USFS Rocky Mountain Research Station, 800 East Beckwith Avenue, Missoula, MT, USA
| | - D H Mason
- National Genomics Center for Wildlife and Fish Conservation, USFS Rocky Mountain Research Station, 800 East Beckwith Avenue, Missoula, MT, USA
| | - T W Franklin
- National Genomics Center for Wildlife and Fish Conservation, USFS Rocky Mountain Research Station, 800 East Beckwith Avenue, Missoula, MT, USA
| | - K S McKelvey
- National Genomics Center for Wildlife and Fish Conservation, USFS Rocky Mountain Research Station, 800 East Beckwith Avenue, Missoula, MT, USA
| | - M K Young
- National Genomics Center for Wildlife and Fish Conservation, USFS Rocky Mountain Research Station, 800 East Beckwith Avenue, Missoula, MT, USA
| | - M K Schwartz
- National Genomics Center for Wildlife and Fish Conservation, USFS Rocky Mountain Research Station, 800 East Beckwith Avenue, Missoula, MT, USA
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191
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Flück B, Mathon L, Manel S, Valentini A, Dejean T, Albouy C, Mouillot D, Thuiller W, Murienne J, Brosse S, Pellissier L. Applying convolutional neural networks to speed up environmental DNA annotation in a highly diverse ecosystem. Sci Rep 2022; 12:10247. [PMID: 35715444 PMCID: PMC9205931 DOI: 10.1038/s41598-022-13412-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2021] [Accepted: 05/24/2022] [Indexed: 01/04/2023] Open
Abstract
High-throughput DNA sequencing is becoming an increasingly important tool to monitor and better understand biodiversity responses to environmental changes in a standardized and reproducible way. Environmental DNA (eDNA) from organisms can be captured in ecosystem samples and sequenced using metabarcoding, but processing large volumes of eDNA data and annotating sequences to recognized taxa remains computationally expensive. Speed and accuracy are two major bottlenecks in this critical step. Here, we evaluated the ability of convolutional neural networks (CNNs) to process short eDNA sequences and associate them with taxonomic labels. Using a unique eDNA data set collected in highly diverse Tropical South America, we compared the speed and accuracy of CNNs with that of a well-known bioinformatic pipeline (OBITools) in processing a small region (60 bp) of the 12S ribosomal DNA targeting freshwater fishes. We found that the taxonomic labels from the CNNs were comparable to those from OBITools, with high correlation levels for the composition of the regional fish fauna. The CNNs enabled the processing of raw fastq files at a rate of approximately 1 million sequences per minute, which was about 150 times faster than with OBITools. Given the good performance of CNNs in the highly diverse ecosystem considered here, the development of more elaborate CNNs promises fast deployment for future biodiversity inventories using eDNA.
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Affiliation(s)
- Benjamin Flück
- Department of Environmental System Science, ETH Zürich, 8092, Zurich, Switzerland. .,Swiss Federal Research Institute WSL, 8903, Birmensdorf, Switzerland.
| | - Laëtitia Mathon
- CEFE, Univ. Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France
| | - Stéphanie Manel
- CEFE, Univ. Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France
| | | | | | - Camille Albouy
- DECOD (Ecosystem Dynamics and Sustainability), IFREMER, INRAE, Institut Agro - Agrocampus Ouest, Rue de l'Ile d'Yeu, BP21105, 44311, Nantes Cedex 3, France
| | - David Mouillot
- MARBEC, Univ. Montpellier,CNRS, IRD, Ifremer, Montpellier, France.,Institut Universitaire de France, IUF, 75231, Paris, France
| | - Wilfried Thuiller
- CNRS, LECA, Laboratoire d'Écologie Alpine, Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, 38000, Grenoble, France
| | - Jérôme Murienne
- Laboratoire Evolution et Diversité Biologique (UMR5174), CNRS, IRD, Université Paul Sabatier, Toulouse, France
| | - Sébastien Brosse
- Laboratoire Evolution et Diversité Biologique (UMR5174), CNRS, IRD, Université Paul Sabatier, Toulouse, France
| | - Loïc Pellissier
- Department of Environmental System Science, ETH Zürich, 8092, Zurich, Switzerland. .,Swiss Federal Research Institute WSL, 8903, Birmensdorf, Switzerland.
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192
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Chan AHE, Saralamba N, Saralamba S, Ruangsittichai J, Chaisiri K, Limpanont Y, Charoennitiwat V, Thaenkham U. Sensitive and accurate DNA metabarcoding of parasitic helminth mock communities using the mitochondrial rRNA genes. Sci Rep 2022; 12:9947. [PMID: 35705676 PMCID: PMC9200835 DOI: 10.1038/s41598-022-14176-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Accepted: 06/02/2022] [Indexed: 11/17/2022] Open
Abstract
Next-generation sequencing technologies have accelerated the pace of helminth DNA metabarcoding research, enabling species detection in bulk community samples. However, finding suitable genetic markers with robust species-level resolution and primers targeting a broad species range among parasitic helminths are some of the challenges faced. This study aimed to demonstrate the potential use of the mitochondrial 12S and 16S rRNA genes for parasitic helminth (nematodes, trematodes, cestodes) DNA metabarcoding. To demonstrate the robustness of the 12S and 16S rRNA genes for DNA metabarcoding, we determined the proportion of species successfully recovered using mock helminth communities without environment matrix and mock helminth communities artificially spiked with environmental matrices. The environmental matrices are human fecal material, garden soil, tissue, and pond water. Our results revealed the robustness of the mitochondrial rRNA genes, through the high sensitivity of the 12S rRNA gene, and the effectiveness of the 12S and 16S primers targeting platyhelminths. With the mitochondrial rRNA genes, a broad range of parasitc helminths were successfully detected to the species level. The potential of the mitochondrial rRNA genes for helminth DNA metabarcoding was demonstrated, providing a valuable gateway for future helminth DNA metabarcoding applications like helminth detection and biodiversity studies.
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Affiliation(s)
- Abigail Hui En Chan
- Department of Helminthology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Naowarat Saralamba
- Department of Molecular Tropical Medicine and Genetics, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Sompob Saralamba
- Mathematical and Economic Modelling (MAEMOD), Mahidol Oxford Tropical Medicine Research Unit, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Jiraporn Ruangsittichai
- Department of Medical Entomology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Kittipong Chaisiri
- Department of Helminthology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | - Yanin Limpanont
- Department of Social and Environmental Medicine, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand
| | | | - Urusa Thaenkham
- Department of Helminthology, Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
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193
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Development of environmental DNA chip for monitoring the invasive alien fishes in dam reservoirs. LANDSCAPE AND ECOLOGICAL ENGINEERING 2022. [DOI: 10.1007/s11355-022-00513-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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194
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Forsman AM, Savage AE, Hoenig BD, Gaither MR. DNA metabarcoding across disciplines: sequencing our way to greater understanding across scales of biological organization. Integr Comp Biol 2022; 62:191-198. [PMID: 35687001 DOI: 10.1093/icb/icac090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2022] [Revised: 06/03/2022] [Accepted: 06/06/2022] [Indexed: 11/13/2022] Open
Abstract
DNA metabarcoding describes the use of targeted DNA (i.e., amplicon) sequencing to identify community constituents from a complex sample containing genetic material from multiple organisms, such as water, soil, gut contents, microbiomes, or biofilms. This molecular approach for characterizing mixed DNA samples relies on the development of "universal primers" that allow for effective amplification of target sequences across a broad range of taxa. Armed with optimized lab protocols and rigorous bioinformatics tools, DNA metabarcoding can produce a wealth of information about the hidden biodiversity of various sample types by probing for organisms' molecular footprints. DNA metabarcoding has received considerable popular press over the last few years because of gut microbiome studies in humans and beyond. However, there are many other applications that are continually integrating molecular biology with other fields of study to address questions that have previously been unanswerable, for both prokaryotic and eukaryotic targets. For example, we can now sample mostly-digested gut contents from virtually any organism to learn about ontogeny and foraging ecology. Water samples collected from different locations can be filtered to extract eDNA (i.e., environmental DNA), revealing the biodiversity of fishes and other taxa targeted by carefully selected primer sets. This universal primer metabarcoding approach has even been extended to looking at diverse gene families within single species, which is particularly useful for complex immune system genetics. The purpose of this SICB symposium was to bring together researchers using DNA metabarcoding approaches to (a) showcase the diversity of applications of this technique for addressing questions spanning ecology, evolution, and physiology, and (b) to spark connections among investigators from different fields that are utilizing similar approaches to facilitate optimization and standardization of metabarcoding methods and analyses. The resulting manuscripts from this symposium represent a great diversity of metabarcoding applications and taxonomic groups of interest.
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Affiliation(s)
- Anna M Forsman
- Department of Biology, University of Central Florida, Orlando, FL, USA.,Genomics & Bioinformatics Cluster, University of Central Florida, Orlando, FL, USA
| | - Anna E Savage
- Department of Biology, University of Central Florida, Orlando, FL, USA
| | - Brandon D Hoenig
- Department of Biological Sciences, University of Pittsburgh, Pittsburgh, PA, USA
| | - Michelle R Gaither
- Department of Biology, University of Central Florida, Orlando, FL, USA.,Genomics & Bioinformatics Cluster, University of Central Florida, Orlando, FL, USA
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195
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Keller AG, Grason EW, McDonald PS, Ramón-Laca A, Kelly RP. Tracking an invasion front with environmental DNA. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2022; 32:e2561. [PMID: 35128750 DOI: 10.1002/eap.2561] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Revised: 10/21/2021] [Accepted: 12/14/2021] [Indexed: 05/03/2023]
Abstract
Data from environmental DNA (eDNA) may revolutionize environmental monitoring and management, providing increased detection sensitivity at reduced cost and survey effort. However, eDNA data are rarely used in decision-making contexts, mainly due to uncertainty around (1) data interpretation and (2) whether and how molecular tools dovetail with existing management efforts. We address these challenges by jointly modeling eDNA detection via qPCR and traditional trap data to estimate the density of invasive European green crab (Carcinus maenas), a species for which, historically, baited traps have been used for both detection and control. Our analytical framework simultaneously quantifies uncertainty in both detection methods and provides a robust way of integrating different data streams into management processes. Moreover, the joint model makes clear the marginal information benefit of adding eDNA (or any other) additional data type to an existing monitoring program, offering a path to optimizing sampling efforts for species of management interest. Here, we document green crab eDNA beyond the previously known invasion front and find that the value of eDNA data dramatically increases with low population densities and low traditional sampling effort, as is often the case at leading-edge locations. We also highlight the detection limits of the molecular assay used in this study, as well as scenarios under which eDNA sampling is unlikely to improve existing management efforts.
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Affiliation(s)
- Abigail G Keller
- School of Marine and Environmental Affairs, University of Washington, Seattle, Washington, USA
| | - Emily W Grason
- Washington Sea Grant, University of Washington, Seattle, Washington, USA
| | - P Sean McDonald
- School of Aquatic & Fishery Sciences, University of Washington, Seattle, Washington, USA
| | - Ana Ramón-Laca
- CICOES, University of Washington at Northwest Fisheries Science Center, Seattle, Washington, USA
| | - Ryan P Kelly
- School of Marine and Environmental Affairs, University of Washington, Seattle, Washington, USA
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196
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Czech L, Stamatakis A, Dunthorn M, Barbera P. Metagenomic Analysis Using Phylogenetic Placement-A Review of the First Decade. FRONTIERS IN BIOINFORMATICS 2022; 2:871393. [PMID: 36304302 PMCID: PMC9580882 DOI: 10.3389/fbinf.2022.871393] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Accepted: 04/11/2022] [Indexed: 12/20/2022] Open
Abstract
Phylogenetic placement refers to a family of tools and methods to analyze, visualize, and interpret the tsunami of metagenomic sequencing data generated by high-throughput sequencing. Compared to alternative (e. g., similarity-based) methods, it puts metabarcoding sequences into a phylogenetic context using a set of known reference sequences and taking evolutionary history into account. Thereby, one can increase the accuracy of metagenomic surveys and eliminate the requirement for having exact or close matches with existing sequence databases. Phylogenetic placement constitutes a valuable analysis tool per se, but also entails a plethora of downstream tools to interpret its results. A common use case is to analyze species communities obtained from metagenomic sequencing, for example via taxonomic assignment, diversity quantification, sample comparison, and identification of correlations with environmental variables. In this review, we provide an overview over the methods developed during the first 10 years. In particular, the goals of this review are 1) to motivate the usage of phylogenetic placement and illustrate some of its use cases, 2) to outline the full workflow, from raw sequences to publishable figures, including best practices, 3) to introduce the most common tools and methods and their capabilities, 4) to point out common placement pitfalls and misconceptions, 5) to showcase typical placement-based analyses, and how they can help to analyze, visualize, and interpret phylogenetic placement data.
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Affiliation(s)
- Lucas Czech
- Department of Plant Biology, Carnegie Institution for Science, Stanford, CA, United States
| | - Alexandros Stamatakis
- Computational Molecular Evolution Group, Heidelberg Institute for Theoretical Studies, Heidelberg, Germany
- Institute for Theoretical Informatics, Karlsruhe Institute of Technology, Karlsruhe, Germany
| | - Micah Dunthorn
- Natural History Museum, University of Oslo, Oslo, Norway
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197
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Miya M, Sado T, Oka SI, Fukuchi T. The use of citizen science in fish eDNA metabarcoding for evaluating regional biodiversity in a coastal marine region: A pilot study. METABARCODING AND METAGENOMICS 2022. [DOI: 10.3897/mbmg.6.80444] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
To test the feasibility of a citizen science program for fish eDNA metabarcoding in coastal marine environments, we recruited six groups of voluntary citizens for a science education course at a natural history museum. We held a seminar on eDNA and a workshop for seawater sampling and on-site filtration using syringes and filter cartridges for the participants. After that, they selected single survey sites following the guidelines for conducting a safe field trip. They performed seawater sampling and on-site filtration at these sites during their summer holidays. The six selected sites unexpectedly included diverse coastal habitats within a 40 km radius, located at temperate latitudes in central Japan (~35°N). After the field trips, they returned filtered cartridges to the museum, and we extracted eDNA from the filters. We performed fish eDNA metabarcoding, along with data analysis. Consequently, we identified 140 fish species across 66 families and 118 genera from the six samples, with species richness ranging from 14 to 66. Despite its limited sample size, such a diverse taxonomic range of fish species exhibited spatial biodiversity patterns within the region, which are consistent with species distribution. These include north-south and urbanization gradients of species richness, geographic structure of the fish communities, and varying salinity preferences of the component species. This case study demonstrates the potential of fish eDNA metabarcoding as an educational and scientific tool to raise public awareness and perform large-scale citizen science initiatives encompassing regional, national, or global fauna.
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198
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Galanis A, Vardakas P, Reczko M, Harokopos V, Hatzis P, Skoulakis EMC, Pavlopoulos GA, Patalano S. Bee foraging preferences, microbiota and pathogens revealed by direct shotgun metagenomics of honey. Mol Ecol Resour 2022; 22:2506-2523. [PMID: 35593171 DOI: 10.1111/1755-0998.13626] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2021] [Revised: 02/14/2022] [Accepted: 04/13/2022] [Indexed: 11/26/2022]
Abstract
Honeybees (Apis mellifera) continue to succumb to human and environmental pressures despite their crucial role in providing essential ecosystem services. Owing to their foraging and honey production activities, honeybees form complex relationships with species across all domains, such as plants, viruses, bacteria and other hive pests, making honey a valuable biomonitoring tool for assessing their ecological niche. Thus, the application of honey shotgun metagenomics (SM) has paved the way for a detailed description of the species honeybees interact with. Nevertheless, SM bioinformatics tools and DNA extraction methods rely on resources not necessarily optimized for honey. In this study, we compared five widely used taxonomic classifiers using simulated species communities commonly found in honey. We found that Kraken 2 with a threshold of 0.5 performs best in assessing species distribution. We also optimized a simple NaOH-based honey DNA extraction methodology (Direct-SM), which profiled species seasonal variability similarly to an established column-based DNA extraction approach (SM). Both approaches produce results consistent with melissopalinology analysis describing the botanical landscape surrounding the apiary. Interestingly, we detected a strong stability of the bacteria constituting the core and noncore gut microbiome across seasons, pointing to the potential utility of honey for noninvasive assessment of bee microbiota. Finally, the Direct-SM approach to detect Varroa correlates well with the biomonitoring of mite infestation observed in hives. These observations suggest that Direct-SM methodology has the potential to comprehensively describe honeybee ecological niches and can be tested as a building block for large-scale studies to assess bee health in the field.
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Affiliation(s)
- Anastasios Galanis
- Institute for Fundamental Biomedical Research (IFBR), BSRC 'Alexander Fleming', Vari, Greece.,Division of Animal and Human Physiology, Department of Biology, National and Kapodistrian University of Athens, Athens, Greece
| | - Philippos Vardakas
- Institute for Fundamental Biomedical Research (IFBR), BSRC 'Alexander Fleming', Vari, Greece.,Department of Apiculture, Institute of Animal Science, Nea Moudania, Greece
| | - Martin Reczko
- Institute for Fundamental Biomedical Research (IFBR), BSRC 'Alexander Fleming', Vari, Greece
| | - Vaggelis Harokopos
- Institute for Fundamental Biomedical Research (IFBR), BSRC 'Alexander Fleming', Vari, Greece
| | - Pantelis Hatzis
- Institute for Fundamental Biomedical Research (IFBR), BSRC 'Alexander Fleming', Vari, Greece
| | - Efthimios M C Skoulakis
- Institute for Fundamental Biomedical Research (IFBR), BSRC 'Alexander Fleming', Vari, Greece
| | - Georgios A Pavlopoulos
- Institute for Fundamental Biomedical Research (IFBR), BSRC 'Alexander Fleming', Vari, Greece
| | - Solenn Patalano
- Institute for Fundamental Biomedical Research (IFBR), BSRC 'Alexander Fleming', Vari, Greece
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199
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Diversity, distribution and ecology of fungal communities present in Antarctic lake sediments uncovered by DNA metabarcoding. Sci Rep 2022; 12:8407. [PMID: 35589789 PMCID: PMC9120451 DOI: 10.1038/s41598-022-12290-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2022] [Accepted: 04/29/2022] [Indexed: 01/04/2023] Open
Abstract
We assessed fungal diversity in sediments obtained from four lakes in the South Shetland Islands and James Ross Island, Antarctica, using DNA metabarcoding. We detected 218 amplicon sequence variants (ASVs) dominated by the phyla Ascomycota, Basidiomycota, Mortierellomycota, Mucoromycota and Chytridiomycota. In addition, the rare phyla Aphelidiomycota, Basidiobolomycota, Blastocladiomycota, Monoblepharomycota, Rozellomycota and Zoopagomycota as well as fungal-like Straminopila belonging to the phyla Bacillariophyta and Oomycota were detected. The fungal assemblages were dominated by unknown fungal taxa (Fungal sp. 1 and Fungal sp. 2), followed by Talaromyces rubicundus and Dactylonectria anthuriicola. In general, they displayed high diversity, richness and moderate dominance. Sequences representing saprophytic, pathogenic and symbiotic fungi were detected, including the phytopathogenic fungus D. anthuriicola that was abundant, in the relatively young Soto Lake on Deception Island. The lake sediments studied contained the DNA of rich, diverse and complex fungal communities, including both fungi commonly reported in Antarctica and other taxa considered to be rare. However, as the study was based on the use of environmental DNA, which does not unequivocally confirm the presence of active or viable organisms, further studies using other approaches such as shotgun sequencing are required to elucidate the ecology of fungi in these Antarctic lake sediments.
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200
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Bessey C, Gao Y, Truong YB, Miller H, Jarman SN, Berry O. Comparison of materials for rapid passive collection of environmental
DNA. Mol Ecol Resour 2022; 22:2559-2572. [PMID: 35570323 PMCID: PMC9544503 DOI: 10.1111/1755-0998.13640] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2021] [Revised: 04/24/2022] [Accepted: 05/11/2022] [Indexed: 11/29/2022]
Abstract
Passive collection is an emerging sampling method for environmental DNA (eDNA) in aquatic systems. Passive eDNA collection is inexpensive and efficient, and requires minimal equipment, making it suited to high‐density sampling and remote deployment. Here, we compare the effectiveness of nine membrane materials for passively collecting fish eDNA from a 3‐million‐litre marine mesocosm. We submerged materials (cellulose, cellulose with 1% and 3% chitosan, cellulose overlayed with electrospun nanofibres and 1% chitosan, cotton fibres, hemp fibres, and sponge with either zeolite or active carbon) for intervals between 5 and 1080 min. We show that for most materials, with as little as 5 min of submersion, mitochondrial fish eDNA measured with qPCR, and fish species richness measured with metabarcoding, was comparable to that collected by conventional filtering. Furthermore, PCR template DNA concentrations and species richness were generally not improved significantly by longer submersion. Species richness detected for all materials ranged between 11 and 37 species, with a median of 27, which was comparable to the range for filtered eDNA (19–32). Using scanning electron microscopy, we visualized biological matter adhering to the surface of materials, rather than entrapped, with images also revealing a diversity in size and structure of putative eDNA particles. eDNA can be collected rapidly from seawater with a passive approach and using a variety of materials. This will suit cost‐ and time‐sensitive biological surveys, and where access to equipment is limited.
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Affiliation(s)
- Cindy Bessey
- Commonwealth Scientific and Industrial Research Organisation, Indian Oceans Marine Research Centre, Oceans and Atmosphere, 64 Fairway Crawley WA Australia
- Commonwealth Scientific and Industrial Research Organization, Indian Oceans Marine Research Centre, Environomics Future Science Platform, 64 Fairway Crawley WA Australia
- University of Western Australia UWA Oceans Institute, 35 Stirling Highway Crawley WA Australia
| | - Yuan Gao
- Commonwealth Scientific and Industrial Research Organization, Manufacturing, Research Way Clayton Australia
| | - Yen Bach Truong
- Commonwealth Scientific and Industrial Research Organization, Manufacturing, Research Way Clayton Australia
| | - Haylea Miller
- Commonwealth Scientific and Industrial Research Organization, Indian Oceans Marine Research Centre, Environomics Future Science Platform, 64 Fairway Crawley WA Australia
| | - Simon Neil Jarman
- University of Western Australia UWA Oceans Institute, 35 Stirling Highway Crawley WA Australia
- University of Western Australia School of Biological Sciences and the UWA Oceans Institute Crawley WA Australia
| | - Oliver Berry
- Commonwealth Scientific and Industrial Research Organization, Indian Oceans Marine Research Centre, Environomics Future Science Platform, 64 Fairway Crawley WA Australia
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