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Payton TG, Metzger AM, Childress MJ. Marine Debris Harbor Unique, yet Functionally Similar Cryptofauna Communities. Integr Comp Biol 2024; 64:1102-1114. [PMID: 39003247 DOI: 10.1093/icb/icae113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 06/11/2024] [Accepted: 06/21/2024] [Indexed: 07/15/2024] Open
Abstract
Human-made debris is entering the ocean at alarming rates. These artificial structures are becoming habitats for small marine taxa known as cryptofauna. Cryptofauna are among the most essential reef taxa; however, little is known about these organisms, let alone their fate considering degrading coral reefs and increasing anthropogenic disturbance. The current study explores differences in naturally occurring cryptofauna biodiversity compared to those inhabiting benthic marine debris. To explore this difference, we measured invertebrate diversity from autonomous reef monitoring structures (ARMS) located on patch reefs along the middle Florida Keys reef tract. ARMS were used as a proxy for natural structure to compare to marine debris removed from five reef locations. Plastic debris was the most abundant of all the debris material collected. Wood and concrete were identified as covariates since they are sourced from wooden lobster traps. Taxa diversity varied significantly between ARMS and debris, indicating that each structural unit contained significantly different and diverse communities. The most influential taxa identified included commensal shrimps, hermit crabs, brittle stars, segmented worms, and several families of crabs. Additionally, while functional richness increased with taxa richness for ARMS communities, debris communities showed decreasing functional richness and high functional similarity, suggesting a specialization of debris-specific taxa. Overall, these data assist in better understanding of the marine community ecology surrounding anthropogenic marine debris for future debris removal and management practices for comprehensive reef health.
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Affiliation(s)
- Tokea G Payton
- Biological Sciences Department, Clemson University, Clemson, SC 29634, USA
- Black in Marine Science, Spokane, WA 99201, USA
| | - Anna M Metzger
- Biological Sciences Department, Clemson University, Clemson, SC 29634, USA
| | - Michael J Childress
- Biological Sciences Department, Clemson University, Clemson, SC 29634, USA
- Forestry and Environment Conservation Department, Clemson University, Clemson, SC 29634, USA
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2
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Cecchetto M, Dettai A, Gallut C, Obst M, Kuklinski P, Balazy P, Chelchowski M, Małachowicz M, Poćwierz-Kotus A, Zbawicka M, Reiss H, Eléaume MP, Ficetola GF, Pavloudi C, Exter K, Fontaneto D, Schiaparelli S. Seasonality of primary production explains the richness of pioneering benthic communities. Nat Commun 2024; 15:8340. [PMID: 39333524 PMCID: PMC11436788 DOI: 10.1038/s41467-024-52673-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 09/18/2024] [Indexed: 09/29/2024] Open
Abstract
A pattern of increasing species richness from the poles to the equator is frequently observed in many animal taxa. Ecological limits, determined by the abiotic conditions and biotic interactions within an environment, are one of the major factors influencing the geographical distribution of species diversity. Energy availability is often considered a crucial limiting factor, with temperature and productivity serving as empirical measures. However, these measures may not fully explain the observed species richness, particularly in marine ecosystems. Here, through a global comparative approach and standardised methodologies, such as Autonomous Reef Monitoring Structures (ARMS) and DNA metabarcoding, we show that the seasonality of primary production explains sessile animal richness comparatively or better than surface temperature or primary productivity alone. A Hierarchical Generalised Additive Model (HGAM) is validated, after a model selection procedure, and the prediction error is compared, following a cross-validation approach, with HGAMs including environmental variables commonly used to explain animal richness. Moreover, the linear effect of production magnitude on species richness becomes apparent only when considered jointly with seasonality, and, by identifying world coastal areas characterized by extreme values of both, we postulate that this effect may result in a positive relationship in environments with lower seasonality.
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Affiliation(s)
- Matteo Cecchetto
- Department of Earth, Environmental and Life Science (DISTAV), University of Genoa, Genoa, Italy.
| | - Agnès Dettai
- Institut de Systématique, Évolution, Biodiversité (ISYEB), Muséum National d'Histoire Naturelle, CNRS, SU, EPHE, UA, Paris, France
| | - Cyril Gallut
- Institut de Systématique, Évolution, Biodiversité (ISYEB), Sorbonne Université, MNHN, CNRS, EPHE, UA Station Marine de Concarneau, Concarneau, France
| | - Matthias Obst
- Department of Marine Sciences, University of Gothenburg, Gothenburg, Sweden
| | - Piotr Kuklinski
- Institute of Oceanology, Polish Academy of Sciences, ul. Powstańców Warszawy 55, Sopot, Poland
| | - Piotr Balazy
- Institute of Oceanology, Polish Academy of Sciences, ul. Powstańców Warszawy 55, Sopot, Poland
| | - Maciej Chelchowski
- Institute of Oceanology, Polish Academy of Sciences, ul. Powstańców Warszawy 55, Sopot, Poland
| | - Magdalena Małachowicz
- Institute of Oceanology, Polish Academy of Sciences, ul. Powstańców Warszawy 55, Sopot, Poland
| | - Anita Poćwierz-Kotus
- Institute of Oceanology, Polish Academy of Sciences, ul. Powstańców Warszawy 55, Sopot, Poland
| | - Małgorzata Zbawicka
- Institute of Oceanology, Polish Academy of Sciences, ul. Powstańców Warszawy 55, Sopot, Poland
| | - Henning Reiss
- Nord University, Faculty of Biosciences and Aquaculture, 8049, Bodø, Norway
| | - Marc P Eléaume
- Institut de Systématique, Évolution, Biodiversité (ISYEB), Muséum National d'Histoire Naturelle, CNRS, SU, EPHE, UA, Paris, France
- Institut de Systématique, Évolution, Biodiversité (ISYEB), Sorbonne Université, MNHN, CNRS, EPHE, UA Station Marine de Concarneau, Concarneau, France
| | | | | | - Katrina Exter
- Flanders Marine Institute (VLIZ), InnovOcean Campus, Jacobsenstraat 1, 8400, Oostende, Belgium
| | - Diego Fontaneto
- National Research Council of Italy-Water Research Institute (CNR-IRSA), I-28922, Verbania, Italy
- National Biodiversity Future Center (NBFC), I-90133, Palermo, Italy
| | - Stefano Schiaparelli
- Department of Earth, Environmental and Life Science (DISTAV), University of Genoa, Genoa, Italy
- Italian National Antarctic Museum (MNA, Section of Genoa), University of Genoa, Genoa, Italy
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3
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Jarman S, Alexander JB, Dawkins KL, Lukehurst SS, Nester GM, Wilkinson S, Marnane MJ, McDonald JI, Elsdon TS, Harvey ES. Marine eDNA sampling from submerged surfaces with paint rollers. Mar Genomics 2024; 76:101127. [PMID: 38905943 DOI: 10.1016/j.margen.2024.101127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Revised: 06/13/2024] [Accepted: 06/16/2024] [Indexed: 06/23/2024]
Abstract
Environmental DNA (eDNA) analyses of species present in marine environments is the most effective biological diversity measurement tool currently available. eDNA sampling methods are an intrinsically important part of the eDNA biodiversity analysis process. Identification and development of eDNA sampling methods that are as rapid, affordable, versatile and practical as possible will improve rates of detection of marine species. Optimal outcomes of eDNA biodiversity surveys come from studies employing high levels of sampling replication, so any methods that make sampling faster and cheaper will improve scientific outcomes. eDNA sampling methods that can be applied more widely will also enable sampling from a greater range of marine surface micro-habitats, resulting in detection of a wider range of organisms. In this study, we compared diversity detection by several methods for sampling eDNA from submerged marine surfaces: polyurethane foam, nylon swabs, microfibre paint rollers, and sediment scoops. All of the methods produced a diverse range of species identifications, with >250 multicellular species represented by eDNA at the study site. We found that widely-available small paint rollers were an effective, readily available and affordable method for sampling eDNA from underwater marine surfaces. This approach enables the sampling of marine eDNA using extended poles, or potentially by remotely operated vehicles, where surface sampling by hand is impractical.
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Affiliation(s)
- Simon Jarman
- School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia; eDNA Frontiers, Curtin University, Bentley, WA, Australia.
| | - Jason B Alexander
- School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia
| | | | | | - Georgia M Nester
- Minderoo-UWA Deep Sea Research Centre, University of Western Australia, Crawley, WA, Australia
| | - Shaun Wilkinson
- School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia; Wilderlab, Miramar, Wellington, New Zealand
| | - Michael J Marnane
- School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia; Chevron Technical Center, Perth, Western Australia, Australia
| | - Justin I McDonald
- School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia; Sustainability and Biosecurity, Department of Primary Industries and Regional Development (DPIRD), Hillarys, 6025, Western Australia, Australia
| | - Travis S Elsdon
- School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia; Chevron Technical Center, Perth, Western Australia, Australia
| | - Euan S Harvey
- School of Molecular and Life Sciences, Curtin University, Bentley, WA, Australia
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4
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Villalobos R, Aylagas E, Pearman JK, Curdia J, Coker D, Bell AC, Brown SD, Rowe K, Lozano-Cortés D, Rabaoui LJ, Marshell A, Qurban M, Jones B, Berumen ML, Carvalho S. Biodiversity patterns of the coral reef cryptobiota around the Arabian Peninsula. Sci Rep 2024; 14:9532. [PMID: 38664507 PMCID: PMC11045746 DOI: 10.1038/s41598-024-60336-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2024] [Accepted: 04/22/2024] [Indexed: 04/28/2024] Open
Abstract
The Arabian Peninsula accounts for approximately 6% of the world's coral reefs. Some thrive in extreme environments of temperature and salinity. Using 51 Autonomous Reef Monitoring Structure (ARMS), a standardized non-destructive monitoring device, we investigated the spatial patterns of coral reef cryptobenthic diversity in four ecoregions around the Arabian Peninsula and analyzed how geographical and/or environmental drivers shape those patterns. The mitochondrial cytochrome c oxidase subunit I (COI) gene was used to identify Amplicon Sequence Variants and assign taxonomy of the cryptobenthic organisms collected from the sessile and mobile fractions of each ARMS. Cryptobenthic communities sampled from the two ecoregions in the Red Sea showed to be more diverse than those inhabiting the Arabian (Persian) Gulf and the Gulf of Oman. Geographic distance revealed a stronger relationship with beta diversity in the Mantel partial correlation than environmental distance. However, the two mobile fractions (106-500 µm and 500-2000 µm) also had a significant correlation between environmental distance and beta diversity. In our study, dispersal limitations explained the beta diversity patterns in the selected reefs, supporting the neutral theory of ecology. Still, increasing differences in environmental variables (environmental filtering) also had an effect on the distribution patterns of assemblages inhabiting reefs within short geographic distances. The influence of geographical distance in the cryptofauna assemblages makes these relevant, yet usually ignored, communities in reef functioning vulnerable to large scale coastal development and should be considered in ecosystem management of such projects.
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Affiliation(s)
- Rodrigo Villalobos
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, 23955-6900, Thuwal, Kingdom of Saudi Arabia
| | - Eva Aylagas
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, 23955-6900, Thuwal, Kingdom of Saudi Arabia
| | - John K Pearman
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, 23955-6900, Thuwal, Kingdom of Saudi Arabia
- Coastal and Freshwater Group, Cawthron Institute, Nelson, New Zealand
| | - Joao Curdia
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, 23955-6900, Thuwal, Kingdom of Saudi Arabia
| | - Darren Coker
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, 23955-6900, Thuwal, Kingdom of Saudi Arabia
| | - Alyssa Clothilde Bell
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, 23955-6900, Thuwal, Kingdom of Saudi Arabia
- Department of Biology, University of Konstanz, Konstanz, Germany
| | - Shannon D Brown
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, 23955-6900, Thuwal, Kingdom of Saudi Arabia
- Cooperative Institute for Climate, Ocean, and Ecosystem Studies, University of Washington, Seattle, WA, USA
| | - Katherine Rowe
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, 23955-6900, Thuwal, Kingdom of Saudi Arabia
- School of Science, The University of Waikato, Hamilton, New Zealand
| | | | - Lotfi J Rabaoui
- Center for Environment & Marine Studies, Research Institute, King Fahd University of Petroleum and Minerals, 31261, Dhahran, Eastern Province, Kingdom of Saudi Arabia
- National Center for Wildlife, Riyadh, Saudi Arabia
| | - Alyssa Marshell
- Sultan Qaboos University, Al Seeb Al Khoudh SQU SEPS, 123, Muscat, Oman
- Institute for Marine and Antarctic Studies, University of Tasmania, Hobart, TAS, 7053, Australia
| | - Mohammad Qurban
- Center for Environment & Marine Studies, Research Institute, King Fahd University of Petroleum and Minerals, 31261, Dhahran, Eastern Province, Kingdom of Saudi Arabia
- Ministry of Environment, Water and Agriculture, Riyadh, Saudi Arabia
| | - Burton Jones
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, 23955-6900, Thuwal, Kingdom of Saudi Arabia
| | - Michael Lee Berumen
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, 23955-6900, Thuwal, Kingdom of Saudi Arabia
| | - Susana Carvalho
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, 23955-6900, Thuwal, Kingdom of Saudi Arabia.
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5
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McIlroy SE, Guibert I, Archana A, Chung WYH, Duffy JE, Gotama R, Hui J, Knowlton N, Leray M, Meyer C, Panagiotou G, Paulay G, Russell B, Thompson PD, Baker DM. Life goes on: Spatial heterogeneity promotes biodiversity in an urbanized coastal marine ecosystem. GLOBAL CHANGE BIOLOGY 2024; 30:e17248. [PMID: 38581126 DOI: 10.1111/gcb.17248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 02/09/2024] [Accepted: 02/18/2024] [Indexed: 04/08/2024]
Abstract
Both human populations and marine biodiversity are concentrated along coastlines, with growing conservation interest in how these ecosystems can survive intense anthropogenic impacts. Tropical urban centres provide valuable research opportunities because these megacities are often adjacent to mega-diverse coral reef systems. The Pearl River Delta is a prime exemplar, as it encompasses one of the most densely populated and impacted regions in the world and is located just northwest of the Coral Triangle. However, the spatial and taxonomic complexity of this biodiversity, most of which is small, cryptic in habitat and poorly known, make comparative analyses challenging. We deployed standardized settlement structures at seven sites differing in the intensity of human impacts and used COI metabarcoding to characterize benthic biodiversity, with a focus on metazoans. We found a total of 7184 OTUs, with an average of 665 OTUs per sampling unit; these numbers exceed those observed in many previous studies using comparable methods, despite the location of our study in an urbanized environment. Beta diversity was also high, with 52% of the OTUs found at just one site. As expected, we found that the sites close to point sources of pollution had substantially lower diversity (44% less) relative to sites bathed in less polluted oceanic waters. However, the polluted sites contributed substantially to the total animal diversity of the region, with 25% of all OTUs occurring only within polluted sites. Further analysis of Arthropoda, Annelida and Mollusca showed that phylogenetic clustering within a site was common, suggesting that environmental filtering reduced biodiversity to a subset of lineages present within the region, a pattern that was most pronounced in polluted sites and for the Arthropoda. The water quality gradients surrounding the PRD highlight the unique role of in situ studies for understanding the impacts of complex urbanization pressures on biodiversity.
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Affiliation(s)
- Shelby E McIlroy
- School of Biological Sciences, The Swire Institute of Marine Science, The University of Hong Kong, Hong Kong, P.R. China
- Simon F.S. Li Marine Science Laboratory, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, P.R. China
| | - Isis Guibert
- School of Biological Sciences, The Swire Institute of Marine Science, The University of Hong Kong, Hong Kong, P.R. China
| | - Anand Archana
- School of Biological Sciences, The Swire Institute of Marine Science, The University of Hong Kong, Hong Kong, P.R. China
- San Francisco State University, San Francisco, California, USA
| | - Wing Yi Haze Chung
- School of Biological Sciences, The Swire Institute of Marine Science, The University of Hong Kong, Hong Kong, P.R. China
| | - J Emmett Duffy
- MarineGEO Program and Smithsonian Environmental Research Center, Edgewater, Maryland, USA
| | - Rinaldi Gotama
- School of Biological Sciences, The Swire Institute of Marine Science, The University of Hong Kong, Hong Kong, P.R. China
- Indo Ocean Project, Banjar Adegan Kawan, Desa Ped, Bali, Indonesia
| | - Jerome Hui
- Simon F.S. Li Marine Science Laboratory, School of Life Sciences, The Chinese University of Hong Kong, Hong Kong, P.R. China
| | - Nancy Knowlton
- National Museum of Natural History, Smithsonian Institution, Washington, District of Columbia, USA
| | - Matthieu Leray
- MarineGEO Program and Smithsonian Environmental Research Center, Edgewater, Maryland, USA
- Smithsonian Tropical Research Institute, Smithsonian Institution, Panama City, Balboa, Ancon, Republic of Panama
| | - Chris Meyer
- National Museum of Natural History, Smithsonian Institution, Washington, District of Columbia, USA
| | - Gianni Panagiotou
- Department of Microbiome Dynamics, Leibniz Institute for Natural Product Research and Infection Biology, Hans-Knoell-Institute, Jena, Germany
- Friedrich Schiller University, Faculty of Biological Sciences, Jena, Germany
- Department of Medicine and State Key Laboratory of Pharmaceutical Biotechnology, University of Hong Kong, Hong Kong, China
| | - Gustav Paulay
- Florida Museum of Natural History, University of Florida, Gainesville, Florida, USA
| | - Bayden Russell
- School of Biological Sciences, The Swire Institute of Marine Science, The University of Hong Kong, Hong Kong, P.R. China
| | - Philip D Thompson
- School of Biological Sciences, The Swire Institute of Marine Science, The University of Hong Kong, Hong Kong, P.R. China
| | - David M Baker
- School of Biological Sciences, The Swire Institute of Marine Science, The University of Hong Kong, Hong Kong, P.R. China
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6
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Zarcero J, Antich A, Rius M, Wangensteen OS, Turon X. A new sampling device for metabarcoding surveillance of port communities and detection of non-indigenous species. iScience 2024; 27:108588. [PMID: 38111684 PMCID: PMC10726295 DOI: 10.1016/j.isci.2023.108588] [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: 06/01/2023] [Revised: 10/04/2023] [Accepted: 11/23/2023] [Indexed: 12/20/2023] Open
Abstract
Metabarcoding techniques are revolutionizing studies of marine biodiversity. They can be used for monitoring non-indigenous species (NIS) in ports and harbors. However, they are often biased by inconsistent sampling methods and incomplete reference databases. Logistic constraints in ports prompt the development of simple, easy-to-deploy samplers. We tested a new device called polyamide mesh for ports organismal monitoring (POMPOM) with a high surface-to-volume ratio. POMPOMS were deployed inside a fishing and recreational port in the Mediterranean alongside conventional settlement plates. We also compiled a curated database with cytochrome oxidase (COI) sequences of Mediterranean NIS. COI metabarcoding of the communities settled in the POMPOMs captured a similar biodiversity than settlement plates, with shared molecular operational units (MOTUs) representing ca. 99% of reads. 38 NIS were detected in the port accounting for ca. 26% of reads. POMPOMs were easy to deploy and handle and provide an efficient method for NIS surveillance.
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Affiliation(s)
- Jesús Zarcero
- Department of Marine Ecology, Centre for Advanced Studies of Blanes (CEAB), CSIC, 17300 Blanes, Catalonia, Spain
- Department of Evolutionary Biology, Ecology and Environmental Sciences and Biodiversity Research Institute (IRBio), University of Barcelona, 08028 Barcelona, Catalonia, Spain
| | - Adrià Antich
- Department of Marine Ecology, Centre for Advanced Studies of Blanes (CEAB), CSIC, 17300 Blanes, Catalonia, Spain
| | - Marc Rius
- Department of Marine Ecology, Centre for Advanced Studies of Blanes (CEAB), CSIC, 17300 Blanes, Catalonia, Spain
- Department of Zoology, Centre for Ecological Genomics and Wildlife Conservation, University of Johannesburg, Auckland Park Johannesburg 2006, South Africa
| | - Owen S. Wangensteen
- Department of Evolutionary Biology, Ecology and Environmental Sciences and Biodiversity Research Institute (IRBio), University of Barcelona, 08028 Barcelona, Catalonia, Spain
| | - Xavier Turon
- Department of Marine Ecology, Centre for Advanced Studies of Blanes (CEAB), CSIC, 17300 Blanes, Catalonia, Spain
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7
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Ip YCA, Chang JJM, Oh RM, Quek ZBR, Chan YKS, Bauman AG, Huang D. Seq' and ARMS shall find: DNA (meta)barcoding of Autonomous Reef Monitoring Structures across the tree of life uncovers hidden cryptobiome of tropical urban coral reefs. Mol Ecol 2023; 32:6223-6242. [PMID: 35716352 DOI: 10.1111/mec.16568] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Revised: 05/06/2022] [Accepted: 06/10/2022] [Indexed: 12/01/2022]
Abstract
Coral reefs are among the richest marine ecosystems on Earth, but there remains much diversity hidden within cavities of complex reef structures awaiting discovery. While the abundance of corals and other macroinvertebrates are known to influence the diversity of other reef-associated organisms, much remains unknown on the drivers of cryptobenthic diversity. A combination of standardized sampling with 12 units of the Autonomous Reef Monitoring Structure (ARMS) and high-throughput sequencing was utilized to uncover reef cryptobiome diversity across the equatorial reefs in Singapore. DNA barcoding and metabarcoding of mitochondrial cytochrome c oxidase subunit I, nuclear 18S and bacterial 16S rRNA genes revealed the taxonomic composition of the reef cryptobiome, comprising 15,356 microbial ASVs from over 50 bacterial phyla, and 971 MOTUs across 15 metazoan and 19 non-metazoan eukaryote phyla. Environmental factors across different sites were tested for relationships with ARMS diversity. Differences among reefs in diversity patterns of metazoans and other eukaryotes, but not microbial communities, were associated with biotic (coral cover) and abiotic (distance, temperature and sediment) environmental variables. In particular, ARMS deployed at reefs with higher coral cover had greater metazoan diversity and encrusting plate cover, with larger-sized non-coral invertebrates influencing spatial patterns among sites. Our study showed that DNA barcoding and metabarcoding of ARMS constitute a valuable tool for quantifying cryptobenthic diversity patterns and can provide critical information for the effective management of coral reef ecosystems.
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Affiliation(s)
- Yin Cheong Aden Ip
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Jia Jin Marc Chang
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Ren Min Oh
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Zheng Bin Randolph Quek
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
- Yale-NUS College, National University of Singapore, Singapore, Singapore
| | - Yong Kit Samuel Chan
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
| | - Andrew G Bauman
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
- Department of Marine and Environmental Sciences, Nova Southeastern University, Dania Beach, Florida, USA
| | - Danwei Huang
- Department of Biological Sciences, National University of Singapore, Singapore, Singapore
- Centre for Nature-Based Climate Solutions, National University of Singapore, Singapore, Singapore
- Lee Kong Chian Natural History Museum, National University of Singapore, Singapore, Singapore
- Tropical Marine Science Institute, National University of Singapore, Singapore, Singapore
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8
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Thomasdotter A, Shum P, Mugnai F, Vingiani M, Dubut V, Marschal F, Abbiati M, Chenuil A, Costantini F. Spineless and overlooked: DNA metabarcoding of autonomous reef monitoring structures reveals intra- and interspecific genetic diversity in Mediterranean invertebrates. Mol Ecol Resour 2023; 23:1689-1705. [PMID: 37452608 DOI: 10.1111/1755-0998.13836] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2022] [Revised: 06/22/2023] [Accepted: 07/04/2023] [Indexed: 07/18/2023]
Abstract
The ability to gather genetic information using DNA metabarcoding of bulk samples obtained directly from the environment is crucial to determine biodiversity baselines and understand population dynamics in the marine realm. While DNA metabarcoding is effective in evaluating biodiversity at community level, genetic patterns within species are often concealed in metabarcoding studies and overlooked for marine invertebrates. In the present study, we implement recently developed bioinformatics tools to investigate intraspecific genetic variability for invertebrate taxa in the Mediterranean Sea. Using metabarcoding samples from Autonomous Reef Monitoring Structures (ARMS) deployed in three locations, we present haplotypes and diversity estimates for 145 unique species. While overall genetic diversity was low, we identified several species with high diversity records and potential cryptic lineages. Further, we emphasize the spatial scale of genetic variability, which was observed from locations to individual sampling units (ARMS). We carried out a population genetic analysis of several important yet understudied species, which highlights the current knowledge gap concerning intraspecific genetic patterns for the target taxa in the Mediterranean basin. Our approach considerably enhances biodiversity monitoring of charismatic and understudied Mediterranean species, which can be incorporated into ARMS surveys.
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Affiliation(s)
- Anna Thomasdotter
- County Administrative Board of Västerbotten, Umeå, Sweden
- Department of Biological, Geological and Environmental Sciences, University of Bologna, UOS Ravenna, Ravenna, Italy
| | - Peter Shum
- School of Biological and Environmental Sciences, Liverpool John Moores University, Liverpool, UK
| | - Francesco Mugnai
- Department of Biological, Geological and Environmental Sciences, University of Bologna, UOS Ravenna, Ravenna, Italy
| | - Marina Vingiani
- Department of Biological, Geological and Environmental Sciences, University of Bologna, UOS Ravenna, Ravenna, Italy
- National Research Council, Institute of Marine Sciences, CNR-ISMAR, Venice, Italy
| | - Vincent Dubut
- Aix Marseille Université, Avignon Université, CNRS, IRD, IMBE, Marseille, France
| | - Florent Marschal
- Aix Marseille Université, Avignon Université, CNRS, IRD, IMBE, Marseille, France
| | - Marco Abbiati
- Department of Cultural Heritage, University of Bologna, Ravenna, Italy
- National Interuniversity Consortium for Marine Sciences (CoNISMa), Rome, Italy
- Interdepartmental Research Center for Environmental Sciences (CIRSA), Ravenna, Italy
- Institute of Marine Sciences, National Research Council (CNR-ISMAR), Bologna, Italy
| | - Anne Chenuil
- Aix Marseille Université, Avignon Université, CNRS, IRD, IMBE, Marseille, France
| | - Federica Costantini
- Department of Biological, Geological and Environmental Sciences, University of Bologna, UOS Ravenna, Ravenna, Italy
- National Interuniversity Consortium for Marine Sciences (CoNISMa), Rome, Italy
- Interdepartmental Research Center for Environmental Sciences (CIRSA), Ravenna, Italy
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von Ammon U, Pochon X, Casanovas P, Trochel B, Zirngibl M, Thomas A, Witting J, Joyce P, Zaiko A. Net overboard: Comparing marine eDNA sampling methodologies at sea to unravel marine biodiversity. Mol Ecol Resour 2023; 23:440-452. [PMID: 36226834 DOI: 10.1111/1755-0998.13722] [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: 10/08/2021] [Revised: 08/09/2022] [Accepted: 09/29/2022] [Indexed: 01/04/2023]
Abstract
Environmental DNA (eDNA) analyses are powerful for describing marine biodiversity but must be optimized for their effective use in routine monitoring. To maximize eDNA detection probabilities of sparsely distributed populations, water samples are usually concentrated from larger volumes and filtered using fine-pore membranes, often a significant cost-time bottleneck in the workflow. This study aimed to streamline eDNA sampling by investigating plankton net versus bucket sampling, direct versus sequential filtration including self-preserving filters. Biodiversity was assessed using metabarcoding of the small ribosomal subunit (18S rRNA) and mitochondrial cytochrome c oxidase I (COI) genes. Multispecies detection probabilities were estimated for each workflow using a probabilistic occupancy modelling approach. Significant workflow-related differences in biodiversity metrics were reported. Highest amplicon sequence variant (ASV) richness was attained by the bucket sampling combined with self-preserving filters, comprising a large portion of microplankton. Less diversity but more metazoan taxa were captured in the net samples combined with 5 μm pore size filters. Prefiltered 1.2 μm samples yielded few or no unique ASVs. The highest average (~32%) metazoan detection probabilities in the 5 μm pore size net samples confirmed the effectiveness of preconcentration plankton for biodiversity screening. These results contribute to streamlining eDNA sampling protocols for uptake and implementation in marine biodiversity research and surveillance.
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Affiliation(s)
| | - Xavier Pochon
- Cawthron Institute, Nelson, New Zealand.,Institute of Marine Science, University of Auckland, Auckland, New Zealand
| | | | | | | | | | - Jan Witting
- SEA Education Association, Woods Hole, Massachusetts, USA
| | - Paul Joyce
- SEA Education Association, Woods Hole, Massachusetts, USA
| | - Anastasija Zaiko
- Cawthron Institute, Nelson, New Zealand.,Institute of Marine Science, University of Auckland, Auckland, New Zealand
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10
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Levy N, Simon-Blecher N, Ben-Ezra S, Yuval M, Doniger T, Leray M, Karako-Lampert S, Tarazi E, Levy O. Evaluating biodiversity for coral reef reformation and monitoring on complex 3D structures using environmental DNA (eDNA) metabarcoding. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 856:159051. [PMID: 36181819 DOI: 10.1016/j.scitotenv.2022.159051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 09/13/2022] [Accepted: 09/22/2022] [Indexed: 06/16/2023]
Abstract
Quantifying coral reef biodiversity is challenging for cryptofauna and organisms in early life stages. We demonstrate the utility of eDNA metabarcoding as a tool for comprehensively evaluating invertebrate communities on complex 3D structures for reef reformation, and the role these structures play in provisioning habitat for organisms. 3D design and printing were used to create 18 complex tiles, which were used to form artificial reef structures. eDNA was collected from scraping tile surfaces for organismal biomass and from seawater samples around the artificial reefs in the Gulf of Eilat/Aqaba, Red Sea. Metabarcoding targeted the mitochondrial COI gene with specific primers for marine biodiversity. We provide the first eDNA biodiversity baseline for the Gulf of Eilat/Aqaba, capturing extensive information on species abundance, richness, and diversity. Tile tops had higher phylogenetic diversity and richness, despite a higher abundance of organisms on tile bottoms, highlighting the detection of cryptic organisms with eDNA. We recommend eDNA metabarcoding for reef restoration initiatives, especially for complex marine structures, to improve success and evaluation of biodiversity.
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Affiliation(s)
- Natalie Levy
- Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan 52900, Israel.
| | - Noa Simon-Blecher
- Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan 52900, Israel
| | - Shachaf Ben-Ezra
- Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan 52900, Israel
| | - Matan Yuval
- Hatter Department of Marine Technologies, Charney School of Marine Sciences, University of Haifa, Haifa 3498838, Israel; Department of Marine Biology, Charney School of Marine Sciences, University of Haifa, Haifa 3498838, Israel; Inter-University Institute for Marine Sciences of Eilat, Eilat 88103, Israel
| | - Tirza Doniger
- Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan 52900, Israel
| | - Matthieu Leray
- Smithsonian Tropical Research Institute, Smithsonian Institution, Balboa Ancon 0843-03092, Panama
| | - Sarit Karako-Lampert
- Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan 52900, Israel
| | - Ezri Tarazi
- Design-Tech Lab, Industrial Design Department at the Faculty of Architecture and Town Planning Technion, Israel Institute of Technology, Haifa 3200003, Israel
| | - Oren Levy
- Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat Gan 52900, Israel.
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11
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Rogers AD, Appeltans W, Assis J, Ballance LT, Cury P, Duarte C, Favoretto F, Hynes LA, Kumagai JA, Lovelock CE, Miloslavich P, Niamir A, Obura D, O'Leary BC, Ramirez-Llodra E, Reygondeau G, Roberts C, Sadovy Y, Steeds O, Sutton T, Tittensor DP, Velarde E, Woodall L, Aburto-Oropeza O. Discovering marine biodiversity in the 21st century. ADVANCES IN MARINE BIOLOGY 2022; 93:23-115. [PMID: 36435592 DOI: 10.1016/bs.amb.2022.09.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
We review the current knowledge of the biodiversity of the ocean as well as the levels of decline and threat for species and habitats. The lack of understanding of the distribution of life in the ocean is identified as a significant barrier to restoring its biodiversity and health. We explore why the science of taxonomy has failed to deliver knowledge of what species are present in the ocean, how they are distributed and how they are responding to global and regional to local anthropogenic pressures. This failure prevents nations from meeting their international commitments to conserve marine biodiversity with the results that investment in taxonomy has declined in many countries. We explore a range of new technologies and approaches for discovery of marine species and their detection and monitoring. These include: imaging methods, molecular approaches, active and passive acoustics, the use of interconnected databases and citizen science. Whilst no one method is suitable for discovering or detecting all groups of organisms many are complementary and have been combined to give a more complete picture of biodiversity in marine ecosystems. We conclude that integrated approaches represent the best way forwards for accelerating species discovery, description and biodiversity assessment. Examples of integrated taxonomic approaches are identified from terrestrial ecosystems. Such integrated taxonomic approaches require the adoption of cybertaxonomy approaches and will be boosted by new autonomous sampling platforms and development of machine-speed exchange of digital information between databases.
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Affiliation(s)
- Alex D Rogers
- REV Ocean, Lysaker, Norway; Nekton Foundation, Begbroke Science Park, Oxford, United Kingdom.
| | - Ward Appeltans
- Intergovernmental Oceanographic Commission of UNESCO, Oostende, Belgium
| | - Jorge Assis
- Centre of Marine Sciences, University of Algarve, Faro, Portugal
| | - Lisa T Ballance
- Marine Mammal Institute, Oregon State University, Newport, OR, United States
| | | | - Carlos Duarte
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center (RSRC) and Computational Bioscience Research Center (CBRC), Thuwal, Kingdom of Saudi Arabia
| | - Fabio Favoretto
- Autonomous University of Baja California Sur, La Paz, Baja California Sur, Mexico
| | - Lisa A Hynes
- Nekton Foundation, Begbroke Science Park, Oxford, United Kingdom
| | - Joy A Kumagai
- Senckenberg Biodiversity and Climate Research Institute, Frankfurt am Main, Germany
| | - Catherine E Lovelock
- School of Biological Sciences, The University of Queensland, St Lucia, QLD, Australia
| | - Patricia Miloslavich
- Scientific Committee on Oceanic Research (SCOR), College of Earth, Ocean and Environment, University of Delaware, Newark, DE, United States; Departamento de Estudios Ambientales, Universidad Simón Bolívar, Venezuela & Scientific Committee for Oceanic Research (SCOR), Newark, DE, United States
| | - Aidin Niamir
- Senckenberg Biodiversity and Climate Research Institute, Frankfurt am Main, Germany
| | | | - Bethan C O'Leary
- Centre for Ecology & Conservation, College of Life and Environmental Sciences, University of Exeter, Penryn, United Kingdom; Department of Environment and Geography, University of York, York, United Kingdom
| | - Eva Ramirez-Llodra
- REV Ocean, Lysaker, Norway; Nekton Foundation, Begbroke Science Park, Oxford, United Kingdom
| | - Gabriel Reygondeau
- Yale Center for Biodiversity Movement and Global Change, Yale University, New Haven, CT, United States; Nippon Foundation-Nereus Program, Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, BC, Canada
| | - Callum Roberts
- Centre for Ecology & Conservation, College of Life and Environmental Sciences, University of Exeter, Penryn, United Kingdom
| | - Yvonne Sadovy
- School of Biological Sciences, Swire Institute of Marine Science, The University of Hong Kong, Hong Kong
| | - Oliver Steeds
- Nekton Foundation, Begbroke Science Park, Oxford, United Kingdom
| | - Tracey Sutton
- Nova Southeastern University, Halmos College of Natural Sciences and Oceanography, Dania Beach, FL, United States
| | | | - Enriqueta Velarde
- Instituto de Ciencias Marinas y Pesquerías, Universidad Veracruzana, Veracruz, Mexico
| | - Lucy Woodall
- Nekton Foundation, Begbroke Science Park, Oxford, United Kingdom; Department of Zoology, University of Oxford, Oxford, United Kingdom
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12
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Villalobos R, Aylagas E, Pearman JK, Curdia J, Lozano-Cortés D, Coker DJ, Jones B, Berumen ML, Carvalho S. Inter-annual variability patterns of reef cryptobiota in the central Red Sea across a shelf gradient. Sci Rep 2022; 12:16944. [PMID: 36210380 PMCID: PMC9548503 DOI: 10.1038/s41598-022-21304-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 09/26/2022] [Indexed: 12/29/2022] Open
Abstract
The combination of molecular tools, standard surveying techniques, and long-term monitoring programs are relevant to understanding environmental and ecological changes in coral reef communities. Here we studied temporal variability in cryptobenthic coral reef communities across the continental shelf in the central Red Sea spanning 6 years (three sampling periods: 2013-2019) and including the 2015 mass bleaching event. We used a combination of molecular tools (barcoding and metabarcoding) to assess communities on Autonomous Reef Monitoring Structures (ARMS) as a standardized sampling approach. Community composition associated with ARMS for both methodologies (barcoding and metabarcoding) was statistically different across reefs (shelf position) and time periods. The partition of beta diversity showed a higher turnover and lower nestedness between pre-bleaching and post-bleaching samples than between the two post-bleaching periods, revealing a community shift from the bleaching event. However, a slight return to the pre-bleaching community composition was observed in 2019 suggesting a recovery trajectory. Given the predictions of decreasing time between bleaching events, it is concerning that cryptobenthic communities may not fully recover and communities with new characteristics will emerge. We observed a high turnover among reefs for all time periods, implying a homogenization of the cryptobiome did not occur across the cross shelf following the 2015 bleaching event. It is possible that dispersal limitations and the distinct environmental and benthic structures present across the shelf maintained the heterogeneity in communities among reefs. This study has to the best of our knowledge presented for the first time a temporal aspect into the analysis of ARMS cryptobenthic coral reef communities and encompasses a bleaching event. We show that these structures can detect cryptic changes associated with reef degradation and provides support for these being used as long-term monitoring tools.
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Affiliation(s)
- R Villalobos
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, Thuwal, 23955-6900, Saudi Arabia
| | - E Aylagas
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, Thuwal, 23955-6900, Saudi Arabia
- The Red Sea Development Company, 5th Floor, MU04 Tower, ITCC Complex, AlRaidah Digital City, Al Nakhil District 3807, Riyadh, 12382-6726, Saudi Arabia
| | - J K Pearman
- Coastal and Freshwater Group, Cawthron Institute, Nelson, New Zealand
| | - J Curdia
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, Thuwal, 23955-6900, Saudi Arabia
| | - D Lozano-Cortés
- Environmental Protection, Saudi Aramco, Dhahran, Saudi Arabia
| | - D J Coker
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, Thuwal, 23955-6900, Saudi Arabia
| | - B Jones
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, Thuwal, 23955-6900, Saudi Arabia
| | - M L Berumen
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, Thuwal, 23955-6900, Saudi Arabia
| | - S Carvalho
- King Abdullah University of Science and Technology (KAUST), Red Sea Research Center, Thuwal, 23955-6900, Saudi Arabia.
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13
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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: 25] [Impact Index Per Article: 8.3] [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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14
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Evaluation of the Use of Autonomous Reef Monitoring Structures (ARMS) for Describing the Species Diversity of Two Coral Reefs in the Yucatan Peninsula, Mexico. DIVERSITY 2021. [DOI: 10.3390/d13110579] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Autonomous reef monitoring structures (ARMS) have been proposed as a standardized, passive, nondestructive sampling tool. This study assessed the ability of ARMS to capture the cryptic species diversity of two coral reefs by recording species richness and taxonomic representativeness using conventional taxonomy. The capacity of ARMS, as artificial substrates, to favor the establishment of nonindigenous species over native species was also evaluated. The use of ARMS allowed the detection of 370 species morphotypes from nine phyla, yielding 13 new records of geographic distribution expansion, one exotic species for the Gulf of México and the Caribbean Sea, and six newly described species. It was also possible to make spatial comparisons of species richness between both reefs. ARMS captured cryptic diversity exceptionally well, with the exception of echinoderms. Furthermore, these artificial structures did not hinder the colonization ability of native species; in fact, the colonization patterns on the structures themselves represented the spatial differences in the structure of benthic assemblages. This study represents the first effort to make a conventional taxonomic description of the cryptic fauna of the Yucatan Peninsula using ARMS. It is recommended to assess coral reef species diversity, but more taxonomists specialized in marine invertebrates are needed.
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15
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Rodríguez-Ezpeleta N, Zinger L, Kinziger A, Bik HM, Bonin A, Coissac E, Emerson BC, Lopes CM, Pelletier TA, Taberlet P, Narum S. Biodiversity monitoring using environmental DNA. Mol Ecol Resour 2021; 21:1405-1409. [PMID: 34032015 DOI: 10.1111/1755-0998.13399] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 04/12/2021] [Accepted: 04/15/2021] [Indexed: 11/29/2022]
Affiliation(s)
| | - Lucie Zinger
- Département de biologie, Institut de Biologie de l'ENS (IBENS, École normale supérieure, CNRS, INSERM, Université PSL, Paris, France
| | - Andrew Kinziger
- Department of Fisheries Biology, Humboldt State University, Arcata, CA, USA
| | - Holly M Bik
- Department of Marine Sciences and Institute of Bioinformatics, University of Georgia, Athens, Georgia, USA
| | - Aurélie Bonin
- Department of Environmental Science and Policy, Università degli Studi di Milano, Milano, Italy
| | - Eric Coissac
- Univ. Grenoble-Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, Grenoble, France
| | - Brent C Emerson
- Island Ecology and Evolution Research Group, Institute of Natural Products and Agrobiology (IPNA-CSIC, La Laguna, Spain
| | - Carla Martins Lopes
- Departamento de Biodiversidade, Universidade Estadual Paulista (UNESP, Rio Claro, SP, Brazil
| | | | - Pierre Taberlet
- Univ. Grenoble-Alpes, Univ. Savoie Mont Blanc, CNRS, LECA, Grenoble, France.,The Arctic University Museum of Norway, UiT the Arctic University of Norway, Tromsø, Norway
| | - Shawn Narum
- Hagerman Genetics Laboratory, Columbia River Inter-Tribal Fish Commission, University of Idaho, Hagerman, ID, USA
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16
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Antich A, Palacin C, Wangensteen OS, Turon X. To denoise or to cluster, that is not the question: optimizing pipelines for COI metabarcoding and metaphylogeography. BMC Bioinformatics 2021; 22:177. [PMID: 33820526 PMCID: PMC8020537 DOI: 10.1186/s12859-021-04115-6] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2021] [Accepted: 03/30/2021] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND The recent blooming of metabarcoding applications to biodiversity studies comes with some relevant methodological debates. One such issue concerns the treatment of reads by denoising or by clustering methods, which have been wrongly presented as alternatives. It has also been suggested that denoised sequence variants should replace clusters as the basic unit of metabarcoding analyses, missing the fact that sequence clusters are a proxy for species-level entities, the basic unit in biodiversity studies. We argue here that methods developed and tested for ribosomal markers have been uncritically applied to highly variable markers such as cytochrome oxidase I (COI) without conceptual or operational (e.g., parameter setting) adjustment. COI has a naturally high intraspecies variability that should be assessed and reported, as it is a source of highly valuable information. We contend that denoising and clustering are not alternatives. Rather, they are complementary and both should be used together in COI metabarcoding pipelines. RESULTS Using a COI dataset from benthic marine communities, we compared two denoising procedures (based on the UNOISE3 and the DADA2 algorithms), set suitable parameters for denoising and clustering, and applied these steps in different orders. Our results indicated that the UNOISE3 algorithm preserved a higher intra-cluster variability. We introduce the program DnoisE to implement the UNOISE3 algorithm taking into account the natural variability (measured as entropy) of each codon position in protein-coding genes. This correction increased the number of sequences retained by 88%. The order of the steps (denoising and clustering) had little influence on the final outcome. CONCLUSIONS We highlight the need for combining denoising and clustering, with adequate choice of stringency parameters, in COI metabarcoding. We present a program that uses the coding properties of this marker to improve the denoising step. We recommend researchers to report their results in terms of both denoised sequences (a proxy for haplotypes) and clusters formed (a proxy for species), and to avoid collapsing the sequences of the latter into a single representative. This will allow studies at the cluster (ideally equating species-level diversity) and at the intra-cluster level, and will ease additivity and comparability between studies.
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Affiliation(s)
- Adrià Antich
- Department of Marine Ecology, Centre for Advanced Studies of Blanes (CEAB-CSIC), Blanes (Girona), Catalonia, Spain
| | - Creu Palacin
- Department of Evolutionary Biology, Ecology and Environmental Sciences, University of Barcelona and Research Institute of Biodiversity (IRBIO), Barcelona, Catalonia, Spain
| | - Owen S Wangensteen
- Norwegian College of Fishery Science, UiT The Arctic University of Norway, Tromsö, Norway.
| | - Xavier Turon
- Department of Marine Ecology, Centre for Advanced Studies of Blanes (CEAB-CSIC), Blanes (Girona), Catalonia, Spain.
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17
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Integration of DNA-Based Approaches in Aquatic Ecological Assessment Using Benthic Macroinvertebrates. WATER 2021. [DOI: 10.3390/w13030331] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Benthic macroinvertebrates are among the most used biological quality elements for assessing the condition of all types of aquatic ecosystems worldwide (i.e., fresh water, transitional, and marine). Current morphology-based assessments have several limitations that may be circumvented by using DNA-based approaches. Here, we present a comprehensive review of 90 publications on the use of DNA metabarcoding of benthic macroinvertebrates in aquatic ecosystems bioassessments. Metabarcoding of bulk macrozoobenthos has been preferentially used in fresh waters, whereas in marine waters, environmental DNA (eDNA) from sediment and bulk communities from deployed artificial structures has been favored. DNA extraction has been done predominantly through commercial kits, and cytochrome c oxidase subunit I (COI) has been, by far, the most used marker, occasionally combined with others, namely, the 18S rRNA gene. Current limitations include the lack of standardized protocols and broad-coverage primers, the incompleteness of reference libraries, and the inability to reliably extrapolate abundance data. In addition, morphology versus DNA benchmarking of ecological status and biotic indexes are required to allow general worldwide implementation and higher end-user confidence. The increased sensitivity, high throughput, and faster execution of DNA metabarcoding can provide much higher spatial and temporal data resolution on aquatic ecological status, thereby being more responsive to immediate management needs.
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