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Mazurkiewicz M, Pawłowska J, Barrenechea Angeles I, Grzelak K, Deja K, Zaborska A, Pawłowski J, Włodarska-Kowalczuk M. Sediment DNA metabarcoding and morphology provide complementary insight into macrofauna and meiobenthos response to environmental gradients in an Arctic glacial fjord. MARINE ENVIRONMENTAL RESEARCH 2024; 198:106552. [PMID: 38788477 DOI: 10.1016/j.marenvres.2024.106552] [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: 01/29/2024] [Revised: 05/09/2024] [Accepted: 05/10/2024] [Indexed: 05/26/2024]
Abstract
Arctic fjords ecosystems are highly dynamic, with organisms exposed to various natural stressors along with productivity clines driven by advection of water masses from shelves. The benthic response to these environmental clines has been extensively studied using traditional, morphology-based approaches mostly focusing on macroinvertebrates. In this study we analyse the effects of glacially mediated disturbance on the biodiversity of benthic macrofauna and meiobenthos (meiofauna and Foraminifera) in a Svalbard fjord by comparing morphology and eDNA metabarcoding. Three genetic markers targeting metazoans (COI), meiofauna (18S V1V2) and Foraminifera (18S 37f) were analyzed. Univariate measures of alpha diversity and multivariate compositional dissimilarities were calculated and tested for similarities in response to environmental gradients using correlation analysis. Our study showed different taxonomic composition of morphological and molecular datasets for both macrofauna and meiobenthos. Some taxonomic groups while abundant in metabarcoding data were almost absent in morphology-based inventory and vice versa. In general, species richness and diversity measures in macrofauna morphological data were higher than in metabarcoding, and similar for the meiofauna. Both methodological approaches showed different patterns of response to the glacially mediated disturbance for the macrofauna and the meiobenthos. Macrofauna showed an evident distinction in taxonomic composition and a dramatic cline in alpha diversity indices between the outer and inner parts of fjord, while the meiobenthos showed a gradual change and more subtle responses to environmental changes along the fjord axis. The two methods can be seen as complementing rather than replacing each other. Morphological approach provides more accurate inventory of larger size species and more reliable quantitative data, while metabarcoding allows identification of inconspicuous taxa that are overlooked in morphology-based studies. As different taxa may show different sensitivities to environmental changes, both methods shall be used to monitor marine biodiversity in Arctic ecosystems and its response to dramatically changing environmental conditions.
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Affiliation(s)
- Mikołaj Mazurkiewicz
- Institute of Oceanology Polish Academy of Sciences, Powstańców Warszawy 55, 81-712, Sopot, Poland.
| | - Joanna Pawłowska
- Institute of Oceanology Polish Academy of Sciences, Powstańców Warszawy 55, 81-712, Sopot, Poland
| | - Inés Barrenechea Angeles
- Department of Geosciences, The Arctic University of Norway, Dramsvegen 201, 9010, Tromsø, Norway
| | - Katarzyna Grzelak
- Institute of Oceanology Polish Academy of Sciences, Powstańców Warszawy 55, 81-712, Sopot, Poland
| | - Kajetan Deja
- Institute of Oceanology Polish Academy of Sciences, Powstańców Warszawy 55, 81-712, Sopot, Poland
| | - Agata Zaborska
- Institute of Oceanology Polish Academy of Sciences, Powstańców Warszawy 55, 81-712, Sopot, Poland
| | - Jan Pawłowski
- Institute of Oceanology Polish Academy of Sciences, Powstańców Warszawy 55, 81-712, Sopot, Poland; ID-Gene Ecodiagnostics, Chemin du Pont-du-Centenaire 109, 1228, Plan-les-Ouates, Switzerland
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Senez-Mello TM, Martins MVA, de Lima Ferreira PA, Figueira R, Castelo WFL, Damasceno FL, Hohenegger J, Pereira E, Duleba W, Gerardes MC. Assessment of anthropogenic pollution in Guanabara Bay (SE Brazil) through biogeochemical data and stable isotope mixing models. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:32972-32997. [PMID: 38671267 DOI: 10.1007/s11356-024-33144-w] [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: 05/03/2023] [Accepted: 03/26/2024] [Indexed: 04/28/2024]
Abstract
This work intends to identify pollution sources along the margins of Guanabara Bay (GB; SE Brazil) through a multiproxy approach and Bayesian stable isotopic mixture model (BSIMM). For this purpose, 33 surface sediment samples were collected and analyzed for granulometry, geochemistry (heavy metals, total organic carbon-TOC, stable isotopes of carbon and nitrogen-δ13C and δ15N, Rock-Eval pyrolysis parameters-REPP), and physicochemical parameters. Metal concentrations (E) dissolved in water (EW), adsorbed by organic matter (EOM) and by Mn hydroxides (EMn), and total extracted concentrations (ET) were analyzed. Sampling was conducted in 2018 after an oil spill from Reduc Oil Refinery. Potential Ecological risk index (PERI), based on metals, classified 85% of the analyzed stations as having moderate to considerable ecological risk. The metals with the potential to cause the highest ecological risk were CdW, CdOM, PbOM, and HgOM. The combination of BSIMM and REPP data was an effective proxy for oil spill detection by indicating the presence of polycyclic aromatic hydrocarbons (PAHs). Relatively high TOC contents suggested that the analyzed stations are eutrophicated environments. BSIMM discriminated three groups of stations with different sources of organic matter (OM), endorsing the result previously shown by the cluster analysis: (A) Niterói region, Botafogo marina, Glória marina, Fiscal and Fundão islands with diffuse sources of OM, including marine phytoplankton and material of continental origin from highly polluted rivers and domestic sewage; (B) region near Fundão and Governador islands and Mangue Channel outlet with OM (≃70%) supplied by highly polluted streams and a small contribution of PAHs; (C) Duque de Caxias and Botafogo-Urca inlet with significant contributions of PAHs, materials from C-3 plants and rivers polluted by urban sewage. Results of linear regressions in conjunction with BSIMM indicate that HgMn and PbOM mainly affect Group A's stations. Although the eastern margin of GB (Niterói; Group A) showed greater oceanic interaction than the other groups, it presented substantial concentrations of metals, potentially harmful (i.e., Hg and Pb) to marine biota and human health.
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Affiliation(s)
- Thaise Machado Senez-Mello
- Faculdade de Geologia (FGEL), Universidade Do Estado Do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil.
- Programa de Pós Graduação Em Dinâmica Dos Oceanos E da Terra, Universidade Federal Fluminense (UFF), Niterói, RJ, Brazil.
| | - Maria Virgínia Alves Martins
- Faculdade de Geologia (FGEL), Universidade Do Estado Do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil
- Geobiosciências, Geoengenharia e Geotecnologias (GeoBioTec), Universidade de Aveiro, Campus de Santiago, Aveiro, Portugal
| | | | - Rubens Figueira
- Geobiosciências, Geoengenharia e Geotecnologias (GeoBioTec), Universidade de Aveiro, Campus de Santiago, Aveiro, Portugal
| | | | - Fabrício Leandro Damasceno
- Faculdade de Geologia (FGEL), Universidade Do Estado Do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil
| | - Johann Hohenegger
- Institut Fur Palaontologie, Universitat Wien, Vienna, Althanstrasse, Austria
| | - Egberto Pereira
- Faculdade de Geologia (FGEL), Universidade Do Estado Do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil
| | - Wânia Duleba
- Escola de Artes, Universidade de São Paulo, Ciências E Humanidades, São Paulo, SP, Brazil
| | - Mauro Cesar Gerardes
- Faculdade de Geologia (FGEL), Universidade Do Estado Do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brazil
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Qiao L, Chen Y, Ren C, Li T, Zhao A, Fan S, Bao J. Benthic foraminiferal community structure and its response to environmental factors revealed using high-throughput sequencing in the Zhoushan Fishing Ground, East China Sea. MARINE POLLUTION BULLETIN 2024; 202:116385. [PMID: 38669854 DOI: 10.1016/j.marpolbul.2024.116385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Revised: 01/31/2024] [Accepted: 04/14/2024] [Indexed: 04/28/2024]
Abstract
Benthic foraminifera are excellent tools for monitoring marine environments and reconstructing paleoenvironments. This study investigated the structure and diversity of benthic foraminiferal communities in 20 superficial sediment samples obtained from the Zhoushan Fishing Ground (ZFG) using high-throughput sequencing based on small subunit ribosomal DNA and RNA amplification. The results revealed Rotaliida as the most dominant group, with spatial heterogeneity in foraminiferal distribution. Total benthic foraminiferal communities exhibited higher species richness and diversity compared to active communities. While heavy metal pollution in the ZFG was moderate, areas with elevated concentrations of heavy metals exhibited low diversity and richness in foraminiferal communities. Total foraminiferal community structure was primarily influenced by factors such as water depth and Hg, Pb, Cd, and Zn levels. Notably, Hg levels emerged as a critical factor impacting the structure and diversity of the active foraminiferal community. The dominant species, Operculina, exhibited tolerance toward heavy metal pollution.
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Affiliation(s)
- Ling Qiao
- Key Laboratory of Sustainable Utilization of Technology Research for Fishery Resource of Zhejiang Province, Zhejiang Marine Fisheries Research Institute, Zhoushan 316021, China
| | - Ye Chen
- Key Laboratory of Sustainable Utilization of Technology Research for Fishery Resource of Zhejiang Province, Zhejiang Marine Fisheries Research Institute, Zhoushan 316021, China
| | - Chengzhe Ren
- College of Marine Science & Technology, Zhejiang Ocean University, Zhoushan 316004, China.
| | - Tiejun Li
- Key Laboratory of Sustainable Utilization of Technology Research for Fishery Resource of Zhejiang Province, Zhejiang Marine Fisheries Research Institute, Zhoushan 316021, China
| | - Anran Zhao
- School of Fishery, Zhejiang Ocean University, Zhoushan 316004, China
| | - Songyao Fan
- College of Marine Science & Technology, Zhejiang Ocean University, Zhoushan 316004, China
| | - Jingjiao Bao
- Key Laboratory of Sustainable Utilization of Technology Research for Fishery Resource of Zhejiang Province, Zhejiang Marine Fisheries Research Institute, Zhoushan 316021, China
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4
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Abd Malek MN, Frontalini F. Benthic foraminifera as bioindicators of marine pollution: A bibliometric approach to unravel trends, patterns and perspectives. MARINE POLLUTION BULLETIN 2024; 199:115941. [PMID: 38134870 DOI: 10.1016/j.marpolbul.2023.115941] [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: 11/04/2023] [Revised: 12/12/2023] [Accepted: 12/13/2023] [Indexed: 12/24/2023]
Abstract
Benthic foraminifera, single-celled marine organisms, are known for their wide distribution, high abundance and species diversity, test (i.e., shell) preservation in the sedimentary (e.g., historical) record, and sensitivity to environmental changes. Because of these characteristics, they have been widely used as bioindicators in environmental monitoring and, more recently, as Biological Quality Elements (BQEs) in the Ecological Quality Status (EcoQS) evaluation. The global scientific literature on benthic foraminifera as bioindicators was gathered from the Scopus database (overall 966 papers from 1973 to 2022) and explored with scientometric software. The outcomes highlight that the investigation of benthic foraminiferal response to pollutants started over 50 years ago. Indeed, not only the number of published documents has recently peaked (i.e., 2021 and 2022) but there has been also a growth in the percentages of papers falling within the Decision Sciences category that deals with the application of foraminiferal indices for the EcoQS assessment.
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Affiliation(s)
| | - Fabrizio Frontalini
- Department of Pure and Applied Science, Urbino University, 61029 Urbino, Italy
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Bouchet VMP, Seuront L, Tsujimoto A, Richirt J, Frontalini F, Tsuchiya M, Matsuba M, Nomaki H. Foraminifera and plastic pollution: Knowledge gaps and research opportunities. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 324:121365. [PMID: 36858101 DOI: 10.1016/j.envpol.2023.121365] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/17/2022] [Revised: 01/19/2023] [Accepted: 02/25/2023] [Indexed: 06/18/2023]
Abstract
Plastic has become one of the most ubiquitous and environmentally threatening sources of pollution in the Anthropocene. Beyond the conspicuous visual impact and physical damages, plastics both carry and release a cocktail of harmful chemicals, such as monomers, additives and persistent organic pollutants. Here we show through a review of the scientific literature dealing with both plastic pollution and benthic foraminifera (Rhizaria), that despite their critical roles in the structure and function of benthic ecosystems, only 0.4% of studies have investigated the effects of micro- and nano-plastics on this group. Consequently, we urge to consider benthic foraminifera in plastic pollution studies via a tentative roadmap that includes (i) the use of their biological, physiological and behavioral responses that may unveil the effects of microplastics and nanoplastics and (ii) the evaluation of the indicative value of foraminiferal species to serve as proxies for the degree of pollution. This appears particularly timely in the context of the development of management strategies to restore coastal ecosystems.
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Affiliation(s)
- Vincent M P Bouchet
- Univ. Lille, CNRS, Univ. Littoral Côte d'Opale, IRD, UMR8187, LOG, Laboratoire d'Océanologie et de Géosciences, Station Marine de Wimereux, 59000, Lille, France.
| | - Laurent Seuront
- Univ. Lille, CNRS, Univ. Littoral Côte d'Opale, IRD, UMR8187, LOG, Laboratoire d'Océanologie et de Géosciences, Station Marine de Wimereux, 59000, Lille, France; Department of Marine Energy and Resource, Tokyo University of Marine Science and Technology, 4-5-7 Konan, Minato-ku, Tokyo, 108-8477, Japan; Department of Zoology and Entomology, Rhodes University, Grahamstown, 6140, South Africa
| | - Akira Tsujimoto
- Faculty of Education, Shimane University, 1060 Nishikawatsu-cho, Matsue-shi, Shimane, 690-8504, Japan
| | - Julien Richirt
- Univ. Lille, CNRS, Univ. Littoral Côte d'Opale, IRD, UMR8187, LOG, Laboratoire d'Océanologie et de Géosciences, Station Marine de Wimereux, 59000, Lille, France; X-star, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 2-15 Natsushima-cho, Yokosuka, 237-0061, Japan
| | - Fabrizio Frontalini
- Department of Pure and Applied Sciences, Urbino University, 61029, Urbino, Italy
| | - Masashi Tsuchiya
- Research Institute for Global Change (RIGC), Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 2-15 Natsushima-cho, Yokosuka, 237-0061, Japan
| | - Misako Matsuba
- Biodiversity Division, National Institute of Environmental Studies, 16-2 Onogawa, Tsukuba, Ibaraki, 305-8506, Japan
| | - Hidetaka Nomaki
- X-star, Japan Agency for Marine-Earth Science and Technology (JAMSTEC), 2-15 Natsushima-cho, Yokosuka, 237-0061, Japan
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Girard EB, Macher J, Jompa J, Renema W. COI
metabarcoding of large benthic Foraminifera: Method validation for application in ecological studies. Ecol Evol 2022; 12:e9549. [DOI: 10.1002/ece3.9549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2022] [Accepted: 11/04/2022] [Indexed: 11/24/2022] Open
Affiliation(s)
- Elsa B. Girard
- Naturalis Biodiversity Center Leiden the Netherlands
- IBED University of Amsterdam Amsterdam the Netherlands
| | | | - Jamaluddin Jompa
- Marine Science Department, Faculty of Marine Science and Fisheries Hasanuddin University Makassar Indonesia
| | - Willem Renema
- Naturalis Biodiversity Center Leiden the Netherlands
- IBED University of Amsterdam Amsterdam the Netherlands
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Qiao L, Fan S, Ren C, Gui F, Li T, Zhao A, Yan Z. Total and active benthic foraminiferal community and their response to heavy metals revealed by high throughput DNA and RNA sequencing in the Zhejiang coastal waters, East China Sea. MARINE POLLUTION BULLETIN 2022; 184:114225. [PMID: 36307953 DOI: 10.1016/j.marpolbul.2022.114225] [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: 03/06/2022] [Revised: 09/12/2022] [Accepted: 10/04/2022] [Indexed: 06/16/2023]
Abstract
Benthic foraminifera, large protists abundant in marine environments, have been widely used as bioindicators of environmental conditions. In this study, high-throughput sequencing based on small subunit rDNA and rRNA amplifications was used to investigate total and active benthic foraminifera community composition and diversity from nineteen and twelve superficial marine sediment samples in the Zhejiang coastal waters, respectively. The results showed that the dominant taxa of total foraminifera changed from Buliminellidae (hyaline) to Saccamminidae (agglutinated) from north to south along the coastal waters of Zhejiang Province. According to our survey, heavy metal contamination was moderate in Zhejiang coastal waters, and the potential ecological risks posed by Cd and Hg were higher. The contamination level of heavy metals at Yueqing Bay was the highest, followed by those at Sanmen Bay and Hangzhou Bay. Cd, Cu and grain size may be key factors affecting the distribution and composition of active foraminiferal communities.
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Affiliation(s)
- Ling Qiao
- Key Laboratory of Sustainable Utilization of Technology Research for Fishery Resource of Zhejiang Province, Zhejiang Marine Fisheries Research Institute, Zhoushan 316021, China
| | - Songyao Fan
- Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316004, China
| | - Chengzhe Ren
- Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316004, China.
| | - Feng Gui
- Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316004, China
| | - Tiejun Li
- Key Laboratory of Sustainable Utilization of Technology Research for Fishery Resource of Zhejiang Province, Zhejiang Marine Fisheries Research Institute, Zhoushan 316021, China
| | - Anran Zhao
- Key Laboratory of Sustainable Utilization of Technology Research for Fishery Resource of Zhejiang Province, Zhejiang Marine Fisheries Research Institute, Zhoushan 316021, China; School of Fishery, Zhejiang Ocean University, Zhoushan 316004, China
| | - Zezheng Yan
- Marine Science and Technology College, Zhejiang Ocean University, Zhoushan 316004, China
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8
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Macher JN, Bloska DM, Holzmann M, Girard EB, Pawlowski J, Renema W. Mitochondrial cytochrome c oxidase subunit I (COI) metabarcoding of Foraminifera communities using taxon-specific primers. PeerJ 2022; 10:e13952. [PMID: 36093332 PMCID: PMC9454970 DOI: 10.7717/peerj.13952] [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: 03/11/2022] [Accepted: 08/05/2022] [Indexed: 01/19/2023] Open
Abstract
Foraminifera are a species-rich phylum of rhizarian protists that are highly abundant in most marine environments. Molecular methods such as metabarcoding have revealed a high, yet undescribed diversity of Foraminifera. However, so far only one molecular marker, the 18S ribosomal RNA, was available for metabarcoding studies on Foraminifera. Primers that allow amplification of foraminiferal mitochondrial cytochrome oxidase I (COI) and identification of Foraminifera species were recently published. Here we test the performance of these primers for the amplification of whole foraminiferal communities, and compare their performance to that of the highly degenerate LerayXT primers, which amplify the same COI region in a wide range of eukaryotes. We applied metabarcoding to 48 samples taken along three transects spanning a North Sea beach in the Netherlands from dunes to the low tide level, and analysed both sediment samples and meiofauna samples, which contained taxa between 42 µm and 1 mm in body size obtained by decantation from sand samples. We used single-cell metabarcoding (Girard et al., 2022) to generate a COI reference library containing 32 species of Foraminifera, and used this to taxonomically annotate our community metabarcoding data. Our analyses show that the highly degenerate LerayXT primers do not amplify Foraminifera, while the Foraminifera primers are highly Foraminifera- specific, with about 90% of reads assigned to Foraminifera and amplifying taxa from all major groups, i.e., monothalamids, Globothalamea, and Tubothalamea. We identified 176 Foraminifera ASVs and found a change in Foraminifera community composition along the beach transects from high tide to low tide level, and a dominance of single-chambered monothalamid Foraminifera. Our results highlight that COI metabarcoding can be a powerful tool for assessing Foraminiferal communities.
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Affiliation(s)
- Jan-Niklas Macher
- Marine Biodiversity, Naturalis Biodiversity Center, Leiden, The Netherlands
| | | | - Maria Holzmann
- Department of Genetics & Evolution, University of Geneva, Geneva, Switzerland
| | - Elsa B. Girard
- Marine Biodiversity, Naturalis Biodiversity Center, Leiden, The Netherlands,Department of Ecosystem & Landscape Dynamics, University of Amsterdam, Amsterdam, Netherlands
| | - Jan Pawlowski
- Laboratory of Paleoceanography, Institute of Oceanology Polish Academy of Sciences, Sopot, Poland
| | - Willem Renema
- Marine Biodiversity, Naturalis Biodiversity Center, Leiden, The Netherlands,Department of Ecosystem & Landscape Dynamics, University of Amsterdam, Amsterdam, Netherlands
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Zhou S, Li Z, Peng S, Zhang D, Li W, Hong M, Li X, Yang J, Lu P. Combining eDNA and morphological approaches to reveal the impacts of long-term discharges of shale gas wastewaters on receiving waters. WATER RESEARCH 2022; 222:118869. [PMID: 35870390 DOI: 10.1016/j.watres.2022.118869] [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: 02/12/2022] [Revised: 07/12/2022] [Accepted: 07/13/2022] [Indexed: 06/15/2023]
Abstract
The potential threats of shale gas wastewater discharges to receiving waters is of great concern. In this study, chemical analyses and biomonitoring were performed three times in a small river that received treated wastewater over a two-year period. The results of chemical analyses showed that the concentrations of chloride, conductivity, barium, and strontium increased at the discharge site, but their concentrations decreased considerably farther downstream (≥500 m). The concentrations of toxic organic compounds (16 US EPA priority polycyclic aromatic hydrocarbons and 6 priority phthalates), trace metals (strontium, arsenic, zinc, copper, chromium, lead, cadmium, nickel, and neodymium), and natural radionuclides (40K, 238U, 226Ra, and 232Th) were comparable to the corresponding background values or did not exhibit obvious accumulation in sediments with continued discharge. Morphological and environmental DNA approaches were used to reveal the potential effects of wastewater discharges on aquatic ecosystems. The results showed that the community structure of benthic invertebrates was not altered by the long-term discharges of shale gas wastewaters. However, the biodiversity indices (richness and Shannon) from the two approaches showed inconsistencies, which were caused by multiple reasons, and that substrates had a strong influence on the morphological biodiversity indices. A multimetric index was proposed to further analyze morphological and environmental DNA data, and the results showed no significant difference between the upstream and downstream sites. Generally, the chemical and biological results both demonstrated that the discharges of shale gas wastewaters had limited impacts on river ecosystems within two years.
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Affiliation(s)
- Shangbo Zhou
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China; Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing 400045, China; Department of Environmental Science, School of Environment and Ecology, Chongqing University, Chongqing 400045, China
| | - Zhiqiang Li
- Department of Environmental Science, School of Environment and Ecology, Chongqing University, Chongqing 400045, China
| | - Shuchan Peng
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China; Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing 400045, China; Department of Environmental Science, School of Environment and Ecology, Chongqing University, Chongqing 400045, China.
| | - Daijun Zhang
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China; Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing 400045, China; Department of Environmental Science, School of Environment and Ecology, Chongqing University, Chongqing 400045, China
| | - Weichang Li
- Department of Environmental Science, School of Environment and Ecology, Chongqing University, Chongqing 400045, China
| | - Mingyu Hong
- Department of Environmental Science, School of Environment and Ecology, Chongqing University, Chongqing 400045, China
| | - Xingquan Li
- Department of Environmental Science, School of Environment and Ecology, Chongqing University, Chongqing 400045, China
| | - Jianghua Yang
- State Key Laboratory of Pollution Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China
| | - Peili Lu
- State Key Laboratory of Coal Mine Disaster Dynamics and Control, Chongqing University, Chongqing 400044, China; Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing 400045, China; Department of Environmental Science, School of Environment and Ecology, Chongqing University, Chongqing 400045, China.
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Pawlowski J, Bruce K, Panksep K, Aguirre FI, Amalfitano S, Apothéloz-Perret-Gentil L, Baussant T, Bouchez A, Carugati L, Cermakova K, Cordier T, Corinaldesi C, Costa FO, Danovaro R, Dell'Anno A, Duarte S, Eisendle U, Ferrari BJD, Frontalini F, Frühe L, Haegerbaeumer A, Kisand V, Krolicka A, Lanzén A, Leese F, Lejzerowicz F, Lyautey E, Maček I, Sagova-Marečková M, Pearman JK, Pochon X, Stoeck T, Vivien R, Weigand A, Fazi S. Environmental DNA metabarcoding for benthic monitoring: A review of sediment sampling and DNA extraction methods. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 818:151783. [PMID: 34801504 DOI: 10.1016/j.scitotenv.2021.151783] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 11/06/2021] [Accepted: 11/14/2021] [Indexed: 06/13/2023]
Abstract
Environmental DNA (eDNA) metabarcoding (parallel sequencing of DNA/RNA for identification of whole communities within a targeted group) is revolutionizing the field of aquatic biomonitoring. To date, most metabarcoding studies aiming to assess the ecological status of aquatic ecosystems have focused on water eDNA and macroinvertebrate bulk samples. However, the eDNA metabarcoding has also been applied to soft sediment samples, mainly for assessing microbial or meiofaunal biota. Compared to classical methodologies based on manual sorting and morphological identification of benthic taxa, eDNA metabarcoding offers potentially important advantages for assessing the environmental quality of sediments. The methods and protocols utilized for sediment eDNA metabarcoding can vary considerably among studies, and standardization efforts are needed to improve their robustness, comparability and use within regulatory frameworks. Here, we review the available information on eDNA metabarcoding applied to sediment samples, with a focus on sampling, preservation, and DNA extraction steps. We discuss challenges specific to sediment eDNA analysis, including the variety of different sources and states of eDNA and its persistence in the sediment. This paper aims to identify good-practice strategies and facilitate method harmonization for routine use of sediment eDNA in future benthic monitoring.
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Affiliation(s)
- J Pawlowski
- Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland; Institute of Oceanology, Polish Academy of Sciences, 81-712 Sopot, Poland; ID-Gene Ecodiagnostics, 1202 Geneva, Switzerland
| | - K Bruce
- NatureMetrics Ltd, CABI Site, Bakeham Lane, Egham TW20 9TY, UK
| | - K Panksep
- Institute of Technology, University of Tartu, Tartu 50411, Estonia; Chair of Hydrobiology and Fishery, Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Tartu, Estonia; Chair of Aquaculture, Institute of Veterinary Medicine and Animal Sciences, Estonian University of Life Sciences, Estonia
| | - F I Aguirre
- Water Research Institute, National Research Council of Italy (IRSA-CNR), Monterotondo, Rome, Italy
| | - S Amalfitano
- Water Research Institute, National Research Council of Italy (IRSA-CNR), Monterotondo, Rome, Italy
| | - L Apothéloz-Perret-Gentil
- Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland; ID-Gene Ecodiagnostics, 1202 Geneva, Switzerland
| | - T Baussant
- Norwegian Research Center AS, NORCE Environment, Marine Ecology Group, Mekjarvik 12, 4070 Randaberg, Norway
| | - A Bouchez
- INRAE, CARRTEL, 74200 Thonon-les-Bains, France
| | - L Carugati
- Department of Life and Environmental Sciences, Polytechnic University of Marche, Via Brecce Bianche, Ancona 60131, Italy
| | - K Cermakova
- ID-Gene Ecodiagnostics, 1202 Geneva, Switzerland
| | - T Cordier
- Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland; NORCE Climate, NORCE Norwegian Research Centre AS, Bjerknes Centre for Climate Research, Jahnebakken 5, 5007 Bergen, Norway
| | - C Corinaldesi
- Department of Materials, Environmental Sciences and Urban Planning, Polytechnic University of Marche, Via Brecce Bianche, Ancona 60131, Italy
| | - F O Costa
- Centre of Molecular and Environmental Biology (CBMA), Department of Biology, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal; Institute of Science and Innovation for Bio-Sustainability (IB-S), University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
| | - R Danovaro
- Department of Life and Environmental Sciences, Polytechnic University of Marche, Via Brecce Bianche, Ancona 60131, Italy
| | - A Dell'Anno
- Department of Life and Environmental Sciences, Polytechnic University of Marche, Via Brecce Bianche, Ancona 60131, Italy
| | - S Duarte
- Centre of Molecular and Environmental Biology (CBMA), Department of Biology, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal; Institute of Science and Innovation for Bio-Sustainability (IB-S), University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal
| | - U Eisendle
- University of Salzburg, Dept. of Biosciences, 5020 Salzburg, Austria
| | - B J D Ferrari
- Swiss Centre for Applied Ecotoxicology (Ecotox Centre), EPFL ENAC IIE-GE, 1015 Lausanne, Switzerland
| | - F Frontalini
- Department of Pure and Applied Sciences, Urbino University, Urbino, Italy
| | - L Frühe
- Technische Universität Kaiserslautern, Ecology Group, D-67663 Kaiserslautern, Germany
| | - A Haegerbaeumer
- Bielefeld University, Animal Ecology, 33615 Bielefeld, Germany
| | - V Kisand
- Institute of Technology, University of Tartu, Tartu 50411, Estonia
| | - A Krolicka
- Norwegian Research Center AS, NORCE Environment, Marine Ecology Group, Mekjarvik 12, 4070 Randaberg, Norway
| | - A Lanzén
- AZTI, Marine Research, Basque Research and Technology Alliance (BRTA), Pasaia, Gipuzkoa, Spain; IKERBASQUE, Basque Foundation for Science, Bilbao, Bizkaia, Spain
| | - F Leese
- University of Duisburg-Essen, Faculty of Biology, Aquatic Ecosystem Research, Germany
| | - F Lejzerowicz
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA
| | - E Lyautey
- Univ. Savoie Mont Blanc, INRAE, CARRTEL, 74200 Thonon-les-Bains, France
| | - I Maček
- Biotechnical Faculty, University of Ljubljana, Jamnikarjeva 101, 1000 Ljubljana, Slovenia; Faculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT), University of Primorska, Glagoljaška 8, 6000 Koper, Slovenia
| | - M Sagova-Marečková
- Czech University of Life Sciences, Dept. of Microbiology, Nutrition and Dietetics, Prague, Czech Republic
| | - J K Pearman
- Coastal and Freshwater Group, Cawthron Institute, Private Bag 2, Nelson 7042, New Zealand
| | - X Pochon
- Coastal and Freshwater Group, Cawthron Institute, Private Bag 2, Nelson 7042, New Zealand; Institute of Marine Science, University of Auckland, Warkworth 0941, New Zealand
| | - T Stoeck
- Technische Universität Kaiserslautern, Ecology Group, D-67663 Kaiserslautern, Germany
| | - R Vivien
- Swiss Centre for Applied Ecotoxicology (Ecotox Centre), EPFL ENAC IIE-GE, 1015 Lausanne, Switzerland
| | - A Weigand
- National Museum of Natural History Luxembourg, 25 Rue Münster, L-2160 Luxembourg, Luxembourg
| | - S Fazi
- Water Research Institute, National Research Council of Italy (IRSA-CNR), Monterotondo, Rome, Italy.
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11
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Cavaliere M, Barrenechea Angeles I, Montresor M, Bucci C, Brocani L, Balassi E, Margiotta F, Francescangeli F, Bouchet VMP, Pawlowski J, Frontalini F. Assessing the ecological quality status of the highly polluted Bagnoli area (Tyrrhenian Sea, Italy) using foraminiferal eDNA metabarcoding. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 790:147871. [PMID: 34098278 DOI: 10.1016/j.scitotenv.2021.147871] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2021] [Revised: 05/14/2021] [Accepted: 05/14/2021] [Indexed: 06/12/2023]
Abstract
Morphology-based benthic foraminifera indices are increasingly used worldwide for biomonitoring the ecological quality of marine sediments. The recent development of foraminiferal eDNA metabarcoding offers a reliable, time-, and cost-effective alternative to morphology-based foraminiferal biomonitoring. However, the practical applications of these new tools are still highly limited. In the present study, we evaluate the response of benthic foraminifera and define the ecological quality status (EcoQS) in the Bagnoli area (Tyrrhenian Sea, Italy) based on a traditional morphology-based approach and eDNA metabarcoding. The geochemical data show that several sites in front of the former industrial plant contain higher concentrations of potentially toxic elements than the effect range median and are characterized by the highest total organic carbon (TOC) content, whereas the distantly located sites can be considered relatively low- to unpolluted. Significant differences (i.e., diversity and assemblage composition) in both morphological and molecular datasets were found between the relatively low- to unpolluted and the most polluted areas. Similarly, the selected ecological indices of both morphological and molecular datasets strikingly and congruently resulted in a clear separation following the environmental stress gradient. The molecular indices (i.e., g-exp(H'bc), g-Foram AMBI, and g-Foram AMBI-MOTUs) reliably identified poor-to-bad EcoQS in the polluted area in front of the former industrial plant. On the other hand, the Foram-AMBI based on morphology well identified an overall trend but seemed to overestimate the EcoQS if the traditional class boundaries were considered. The congruent and complementary trends between morphological and metabarcoding data observed in the case of the Bagnoli site further support the application of foraminiferal metabarcoding in routine biomonitoring to assess the environmental impacts of heavily polluted marine areas.
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Affiliation(s)
- M Cavaliere
- Dipartimento di Scienze Pure e Applicate, Università degli Studi di Urbino "Carlo Bo", 61029 Urbino, Italy.
| | - I Barrenechea Angeles
- Department of Genetics and Evolution, University of Geneva, 1205 Geneva, Switzerland; Department of Earth Sciences, University of Geneva, 1205 Geneva, Switzerland
| | - M Montresor
- Stazione Zoologica Anton Dohrn, 80122 Naples, Italy
| | - C Bucci
- Dipartimento di Scienze Pure e Applicate, Università degli Studi di Urbino "Carlo Bo", 61029 Urbino, Italy
| | - L Brocani
- Dipartimento di Scienze Pure e Applicate, Università degli Studi di Urbino "Carlo Bo", 61029 Urbino, Italy
| | - E Balassi
- Dipartimento di Scienze Pure e Applicate, Università degli Studi di Urbino "Carlo Bo", 61029 Urbino, Italy
| | - F Margiotta
- Stazione Zoologica Anton Dohrn, 80122 Naples, Italy
| | - F Francescangeli
- University of Hamburg, Institute for Geology, Centre for Earth System Research and Sustainability, 20146 Hamburg, Germany
| | - V M P Bouchet
- University of Lille, CNRS, Univ. Littoral Côte d'Opale, UMR 8187, LOG, Laboratoire d'Océanologie et de Géosciences, Station Marine de Wimereux, F 59000 Lille, France
| | - J Pawlowski
- Department of Genetics and Evolution, University of Geneva, 1205 Geneva, Switzerland; ID-Gene ecodiagnostics, Campus Biotech Innovation Park, 1202 Geneva, Switzerland; Institute of Oceanology, Polish Academy of Sciences, 81-712 Sopot, Poland
| | - F Frontalini
- Dipartimento di Scienze Pure e Applicate, Università degli Studi di Urbino "Carlo Bo", 61029 Urbino, Italy
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12
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Cordier T, Alonso‐Sáez L, Apothéloz‐Perret‐Gentil L, Aylagas E, Bohan DA, Bouchez A, Chariton A, Creer S, Frühe L, Keck F, Keeley N, Laroche O, Leese F, Pochon X, Stoeck T, Pawlowski J, Lanzén A. Ecosystems monitoring powered by environmental genomics: A review of current strategies with an implementation roadmap. Mol Ecol 2021; 30:2937-2958. [PMID: 32416615 PMCID: PMC8358956 DOI: 10.1111/mec.15472] [Citation(s) in RCA: 76] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2019] [Revised: 04/25/2020] [Accepted: 05/06/2020] [Indexed: 01/02/2023]
Abstract
A decade after environmental scientists integrated high-throughput sequencing technologies in their toolbox, the genomics-based monitoring of anthropogenic impacts on the biodiversity and functioning of ecosystems is yet to be implemented by regulatory frameworks. Despite the broadly acknowledged potential of environmental genomics to this end, technical limitations and conceptual issues still stand in the way of its broad application by end-users. In addition, the multiplicity of potential implementation strategies may contribute to a perception that the routine application of this methodology is premature or "in development", hence restraining regulators from binding these tools into legal frameworks. Here, we review recent implementations of environmental genomics-based methods, applied to the biomonitoring of ecosystems. By taking a general overview, without narrowing our perspective to particular habitats or groups of organisms, this paper aims to compare, review and discuss the strengths and limitations of four general implementation strategies of environmental genomics for monitoring: (a) Taxonomy-based analyses focused on identification of known bioindicators or described taxa; (b) De novo bioindicator analyses; (c) Structural community metrics including inferred ecological networks; and (d) Functional community metrics (metagenomics or metatranscriptomics). We emphasise the utility of the three latter strategies to integrate meiofauna and microorganisms that are not traditionally utilised in biomonitoring because of difficult taxonomic identification. Finally, we propose a roadmap for the implementation of environmental genomics into routine monitoring programmes that leverage recent analytical advancements, while pointing out current limitations and future research needs.
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Affiliation(s)
- Tristan Cordier
- Department of Genetics and EvolutionScience IIIUniversity of GenevaGenevaSwitzerland
| | - Laura Alonso‐Sáez
- AZTIMarine ResearchBasque Research and Technology Alliance (BRTA)Spain
| | | | - Eva Aylagas
- Red Sea Research Center (RSRC)Biological and Environmental Sciences and Engineering (BESE)King Abdullah University of Science and Technology (KAUST)ThuwalSaudi Arabia
| | - David A. Bohan
- AgroécologieINRAEUniversity of BourgogneUniversity Bourgogne Franche‐ComtéDijonFrance
| | | | - Anthony Chariton
- Department of Biological SciencesMacquarie UniversitySydneyNSWAustralia
| | - Simon Creer
- School of Natural SciencesBangor UniversityGwyneddUK
| | - Larissa Frühe
- Department of EcologyTechnische Universität KaiserslauternKaiserslauternGermany
| | | | - Nigel Keeley
- Benthic Resources and Processes GroupInstitute of Marine ResearchTromsøNorway
| | - Olivier Laroche
- Benthic Resources and Processes GroupInstitute of Marine ResearchTromsøNorway
| | - Florian Leese
- Aquatic Ecosystem ResearchFaculty of BiologyUniversity of Duisburg‐EssenEssenGermany
- Centre for Water and Environmental Research (ZWU)University of Duisburg‐EssenEssenGermany
| | - Xavier Pochon
- Coastal & Freshwater GroupCawthron InstituteNelsonNew Zealand
- Institute of Marine ScienceUniversity of AucklandWarkworthNew Zealand
| | - Thorsten Stoeck
- Department of EcologyTechnische Universität KaiserslauternKaiserslauternGermany
| | - Jan Pawlowski
- Department of Genetics and EvolutionScience IIIUniversity of GenevaGenevaSwitzerland
- ID‐Gene EcodiagnosticsGenevaSwitzerland
- Institute of OceanologyPolish Academy of SciencesSopotPoland
| | - Anders Lanzén
- AZTIMarine ResearchBasque Research and Technology Alliance (BRTA)Spain
- Basque Foundation for ScienceIKERBASQUEBilbaoSpain
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13
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He X, Gilmore SR, Sutherland TF, Hajibabaei M, Miller KM, Westfall KM, Pawlowski J, Abbott CL. Biotic signals associated with benthic impacts of salmon farms from eDNA metabarcoding of sediments. Mol Ecol 2021; 30:3158-3174. [PMID: 33481325 DOI: 10.1111/mec.15814] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 12/06/2020] [Accepted: 01/15/2021] [Indexed: 01/04/2023]
Abstract
Environmental DNA (eDNA) metabarcoding can rapidly characterize the composition and diversity of benthic communities, thus it has high potential utility for routine assessments of benthic impacts of marine finfish farming. In this study, 126 sediment grab samples from 42 stations were collected at six salmon farms in British Columbia, Canada. Benthic community changes were assessed by both eDNA metabarcoding of metazoans and macrofaunal polychaete surveys. The latter was done by analysing 11,466 individuals using a combination of morphology-based taxonomy and DNA barcoding. Study objectives were to: (i) compare biotic signals associated with benthic impacts of salmon farming in the two data sources, and (ii) identify potential eDNA indicators to facilitate monitoring in Canada. Alpha diversity parameters were consistently reduced near fish cage edge and negatively correlated with pore-water sulphide concentration, with coefficients ranging from -0.62 to -0.48. Although Polychaeta are a common indicator group, the negative correlation with pore-water sulphide concentration was much stronger for Nematoda OTU richness (correlation coefficient: -0.86) than for Polychaeta (correlation coefficient: -0.38). Presence/absence of Capitella generally agreed well between the two methods despite that they differed in the volume of sediments sampled and the molecular marker used. Multiple approaches were used to identify OTUs related to organic enrichment statuses. We demonstrate that eDNA metabarcoding generates biotic signals that could be leveraged for environmental assessment of benthic impacts of fish farms in multiple ways: both alpha diversity and Nematoda OTU richness could be used to assess the spatial extent of impact, and OTUs related to organic enrichment could be used to develop local biotic indices.
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Affiliation(s)
- Xiaoping He
- Pacific Biological Station, Fisheries and Oceans Canada, Nanaimo, BC, Canada
| | - Scott R Gilmore
- Pacific Biological Station, Fisheries and Oceans Canada, Nanaimo, BC, Canada
| | - Terri F Sutherland
- Pacific Science Enterprise Centre, Fisheries and Oceans Canada, West Vancouver, BC, Canada
| | - Mehrdad Hajibabaei
- Department of Integrative Biology & Centre for Biodiversity Genomics, University of Guelph, Guelph, ON, Canada
| | - Kristina M Miller
- Pacific Biological Station, Fisheries and Oceans Canada, Nanaimo, BC, Canada
| | - Kristen M Westfall
- Pacific Biological Station, Fisheries and Oceans Canada, Nanaimo, BC, Canada
| | - Jan Pawlowski
- Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland.,Institute of Oceanology, Polish Academy of Sciences, Sopot, Poland.,ID-Gene Ecodiagnostics, Geneva, Switzerland
| | - Cathryn L Abbott
- Pacific Biological Station, Fisheries and Oceans Canada, Nanaimo, BC, Canada
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14
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Frontalini F, Cordier T, Balassi E, Armynot du Chatelet E, Cermakova K, Apothéloz-Perret-Gentil L, Martins MVA, Bucci C, Scantamburlo E, Treglia M, Bonamin V, Pawlowski J. Benthic foraminiferal metabarcoding and morphology-based assessment around three offshore gas platforms: Congruence and complementarity. ENVIRONMENT INTERNATIONAL 2020; 144:106049. [PMID: 32835923 DOI: 10.1016/j.envint.2020.106049] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/22/2020] [Revised: 08/07/2020] [Accepted: 08/07/2020] [Indexed: 06/11/2023]
Abstract
Since the 1960 s, there has been a rapid expansion of drilling activities in the central and northern Adriatic Sea to meet the increasing global energy demand. The discharges of organic and inorganic pollutants, as well as the alteration of the sediment substrate, are among the main impacts associated with these activities. In the present study, we evaluate the response of benthic foraminifera to the activities of three gas platforms in the northwestern Adriatic Sea, with a special focus on the Armida A platform for which extensive geochemical data (organic matter, trace elements, polycyclic aromatic hydrocarbons, other hydrocarbons, and volatile organic compounds) are available. The response to disturbance is assessed by analyzing the foraminiferal diversity using the traditional morphology-based approach and by 18S rDNA-based metabarcoding. The two methods give congruent results, showing relatively lower foraminiferal diversity and higher dominance values at stations closer to the platforms (<50 m). The taxonomic compositions of the morphological and metabarcoding datasets are very different, the latter being dominated by monothalamous, mainly soft-walled species. However, compositional changes consistently occur at 50 m from the platform and can be related to variations in sediment grain-size variation and higher concentrations of Ni, Zn, Ba, hydrocarbons and total organic carbon. Additionally, several morphospecies and Molecular Operational Taxonomic Units (MOTUs) show strong correlations with distance from the platform and with environmental parameters extracted from BIOENV analysis. Some of these MOTUs have the potential to become new bioindicators, complementing the assemblage of hard-shelled foraminiferal species detected through microscopic analyses. The congruence and complementarity between metabarcoding and morphological approaches support the application of foraminiferal metabarcoding in routine biomonitoring surveys as a reliable, time- and cost-effective methodology to assess the environmental impacts of marine industries.
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Affiliation(s)
- Fabrizio Frontalini
- Dipartimento di Scienze Pure e Applicate, Università degli Studi di Urbino "Carlo Bo", Urbino, Italy
| | - Tristan Cordier
- Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland
| | - Eszter Balassi
- Dipartimento di Scienze Pure e Applicate, Università degli Studi di Urbino "Carlo Bo", Urbino, Italy
| | - Eric Armynot du Chatelet
- Laboratoire d'Océanologie et de Géosciences UMR 8187 LOG CNRS/Lille/ULCO, Université de Lille, Bât SN5, Cité Scientifique, 59655 Villeneuve d'Ascq, France
| | - Kristina Cermakova
- ID-Gene ecodiagnostics, Campus Biotech Innovation Park, 1202 Geneva, Switzerland
| | - Laure Apothéloz-Perret-Gentil
- Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland; ID-Gene ecodiagnostics, Campus Biotech Innovation Park, 1202 Geneva, Switzerland
| | - Maria Virginia Alves Martins
- Laboratory of Micropaleontology, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil; Universidade de Aveiro, GeoBioTec, Departamento de Geociências, Aveiro, Portugal
| | - Carla Bucci
- Dipartimento di Scienze Pure e Applicate, Università degli Studi di Urbino "Carlo Bo", Urbino, Italy
| | | | | | | | - Jan Pawlowski
- Department of Genetics and Evolution, University of Geneva, Geneva, Switzerland; ID-Gene ecodiagnostics, Campus Biotech Innovation Park, 1202 Geneva, Switzerland; Institute of Oceanology, Polish Academy of Sciences, 81-712 Sopot, Poland
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15
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Fan J, Wang S, Li H, Yan Z, Zhang Y, Zheng X, Wang P. Modeling the ecological status response of rivers to multiple stressors using machine learning: A comparison of environmental DNA metabarcoding and morphological data. WATER RESEARCH 2020; 183:116004. [PMID: 32622231 DOI: 10.1016/j.watres.2020.116004] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2020] [Revised: 05/29/2020] [Accepted: 05/30/2020] [Indexed: 06/11/2023]
Abstract
Understanding the ecological status response of rivers to multiple stressors is a precondition for river restoration and management. However, this requires the collection of appropriate data, including environmental variables and the status of aquatic organisms, and analysis via a suitable model that captures the nonlinear relationships between ecological status and various stressors. The morphological approach has been the standard data collection method employed for establishing the status of aquatic organisms. However, this approach is very laborious and restricted to a specific set of organisms. Recently, an environmental DNA (eDNA) metabarcoding data approach has been developed that is far more efficient than the morphological approach and potentially applicable to an unlimited set of organisms. However, it remains unclear how well eDNA metabarcoding data reflects the impacts of environmental stressors on aquatic ecosystems compared with morphological data, which is essential for clarifying the potential applications of eDNA metabarcoding data in the ecological monitoring and management of rivers. The present work addresses this issue by modeling organism diversity based on three indices with respect to multiple environmental variables in both the catchment and reach scales. This is done by corresponding support vector machine (SVM) models constructed from eDNA metabarcoding and morphological data on 24 sampling locations in the Taizi River basin, China. According to the mean absolute percent error (MAPE) between the measured diversity index values and the index values predicted by the SVM models, the SVM models constructed from eDNA metabarcoding data (MAPE = 3.87) provide more accurate predictions than the SVM models constructed from morphological data (MAPE = 28.36), revealing that the eDNA metabarcoding data better reflects environmental conditions. In addition, the sensitivity of SVM model predictions of the ecological indices for both catchment-scale and reach-scale stressors is evaluated, and the stressors having the greatest impact on the ecological status of rivers are identified. The results demonstrate that the ecological status of rivers is more sensitive to environmental stressors at the reach scale than to stressors at the catchment scale. Therefore, our study is helpful in exploring the potential applications of eDNA metabarcoding data and SVM modeling in the ecological monitoring and management of rivers.
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Affiliation(s)
- Juntao Fan
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Shuping Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Hong Li
- Lancaster Environment Centre, Lancaster University, LA1 4YQ, UK; UK Centre for Ecology & Hydrology, MacLean Building, Wallingford, OX108 BB, UK
| | - Zhenguang Yan
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China.
| | - Yizhang Zhang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China; Chinese Research Academy of Environmental Sciences Tianjin Branch, Tianjin, 300457, China
| | - Xin Zheng
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
| | - Pengyuan Wang
- State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China
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