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Kaleli A, Gozde Ozbayram E, Akcaalan R. Environmental DNA metabarcoding reveals diverse phytoplankton assemblages and potentially harmful algal distribution along the urban coasts of Türkiye. MARINE ENVIRONMENTAL RESEARCH 2024; 199:106623. [PMID: 38917660 DOI: 10.1016/j.marenvres.2024.106623] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 06/13/2024] [Accepted: 06/21/2024] [Indexed: 06/27/2024]
Abstract
Marine phytoplankton are widely used to monitor the state of the water column due to their rapid changes in response to environmental conditions. In this study, we aimed to investigate the coastal phytoplankton assemblages, including bloom-forming species using high-throughput sequencing of 18S rRNA genes targeting the V4 region and their relationship with environmental variables along the Istanbul coasts of the Sea of Marmara. A total of 118 genera belonging to six phyla were detected. Among them, Dinoflagellata (36) and Bacillariophyta (26) were represented with the highest number of genera. According to the relative abundance of DNA reads, the most abundant taxa were Dinoflagellata_phylum (18.1%), Emiliania (8.4%), Biecheleria (8.4), and Noctiluca (8.1%). The ANOSIM test showed that there was a significant temporal difference in the assemblages, while the driving environmental factors were pH, water temperature, and salinity. According to the TRIX index, the trophic state of the coasts was highly mesotrophic and eutrophic. In addition, 45 bloom-forming and HAB taxa were detected and two species of Noctiluca and Emiliania, which frequently cause blooms in the area, were recorded in high abundance. Our results provide insight into the phytoplankton assemblages along the urbanized coastlines by analysing the V4 region of 18S rRNA. This data can support future studies that use both traditional methods and metabarcoding, employing various primers and targeting different genes and regions.
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Affiliation(s)
- Aydın Kaleli
- Istanbul University, Faculty of Aquatic Sciences, Department of Marine and Freshwater Resources Management, 34134, Istanbul, Türkiye.
| | - Emine Gozde Ozbayram
- Istanbul University, Faculty of Aquatic Sciences, Department of Marine and Freshwater Resources Management, 34134, Istanbul, Türkiye.
| | - Reyhan Akcaalan
- Istanbul University, Faculty of Aquatic Sciences, Department of Marine and Freshwater Resources Management, 34134, Istanbul, Türkiye.
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Mora D, Schlüsener M, Fischer H, Kleinteich J, Schulz M, Ternes T, Thiel J, Wick A, Krenek S. From genes to toxins: Profiling Prymnesium parvum during a riverine harmful algal bloom. HARMFUL ALGAE 2024; 136:102644. [PMID: 38876525 DOI: 10.1016/j.hal.2024.102644] [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: 01/17/2024] [Revised: 04/19/2024] [Accepted: 05/12/2024] [Indexed: 06/16/2024]
Abstract
Blooms of Prymnesium parvum, a unicellular alga globally distributed in marine and brackish environments, frequently result in massive fish kills due to the production of toxins called prymnesins by this haptophyte. In August 2022, a harmful algal bloom (HAB) of this species occurred in the lower Oder River (Poland and Germany), which caused mass mortalities of fish and other organisms. This HAB was linked to low discharge of the Oder and mining activities that caused a significant increase in salinity. In this context, we report on the molecular detection and screening of this haptophyte and its toxins in environmental samples and clonal cultures derived thereof. Both conventional PCR and droplet digital PCR assays reliably detected P. parvum in environmental samples. eDNA metabarcoding using the V4 region of the 18S rRNA gene revealed a single Prymnesium sequence variant, but failed to identify it to species level. Four clonal cultures established from environmental samples were unambiguously identified as P. parvum by molecular phylogenetics (near full-length 18S rRNA gene) and light microscopy. Phylogenetic analysis (ITS1-5.8S-ITS2 marker region) placed the cultured phylotype within a clade containing other P. parvum strains known to produce B-type prymnesins. Toxin-screening of the cultures using liquid chromatography-electrospray ionization - time of flight mass spectrometry identified B-type prymnesins, which were also detected in extracts of filter residues from water samples of the Oder collected during the HAB. Overall, our investigation provides a detailed characterization of P. parvum, including their prymnesins, during this HAB in the Oder River, contributing valuable insights into this ecological disaster. In addition, the droplet digital PCR assay established here will be useful for future monitoring of low levels of P. parvum on the Oder River or any other salt-impacted and brackish water bodies.
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Affiliation(s)
- Demetrio Mora
- Federal Institute of Hydrology (BfG), Am Mainzer Tor 1, 56068 Koblenz, Germany; Current address: Observatory for Climate, Environment and Biodiversity (OCEB), Luxembourg Institute of Science and Technology (LIST), 41 rue du Brill, 4422 Belvaux, Luxembourg
| | - Michael Schlüsener
- Federal Institute of Hydrology (BfG), Am Mainzer Tor 1, 56068 Koblenz, Germany
| | - Helmut Fischer
- Federal Institute of Hydrology (BfG), Am Mainzer Tor 1, 56068 Koblenz, Germany
| | - Julia Kleinteich
- Federal Institute of Hydrology (BfG), Am Mainzer Tor 1, 56068 Koblenz, Germany
| | - Manoj Schulz
- Federal Institute of Hydrology (BfG), Am Mainzer Tor 1, 56068 Koblenz, Germany
| | - Thomas Ternes
- Federal Institute of Hydrology (BfG), Am Mainzer Tor 1, 56068 Koblenz, Germany
| | - Joana Thiel
- Federal Institute of Hydrology (BfG), Am Mainzer Tor 1, 56068 Koblenz, Germany
| | - Arne Wick
- Federal Institute of Hydrology (BfG), Am Mainzer Tor 1, 56068 Koblenz, Germany
| | - Sascha Krenek
- Federal Institute of Hydrology (BfG), Am Mainzer Tor 1, 56068 Koblenz, Germany.
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Gaonkar CC, Campbell L. A full-length 18S ribosomal DNA metabarcoding approach for determining protist community diversity using Nanopore sequencing. Ecol Evol 2024; 14:e11232. [PMID: 38606340 PMCID: PMC11007259 DOI: 10.1002/ece3.11232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2024] [Accepted: 03/21/2024] [Indexed: 04/13/2024] Open
Abstract
Protist diversity studies are frequently conducted using DNA metabarcoding methods. Currently, most studies have utilized short read sequences to assess protist diversity. One limitation of using short read sequences is the low resolution of the markers. For better taxonomic resolution longer sequences of the 18S rDNA are required because the full-length has both conserved and hypervariable regions. In this study, a new primer pair combination was used to amplify the full-length 18S rDNA and its efficacy was validated with a test community and then validated with field samples. Full-length sequences obtained with the Nanopore MinION for protist diversity from field samples were compared with Illumina MiSeq V4 and V8-V9 short reads. Sequences generated from the high-throughput sequencers are Amplicon Sequence Variants (ASVs). Metabarcoding results show high congruency among the long reads and short reads in taxonomic annotation at the major taxonomic group level; however, not all taxa could be successfully detected from sequences. Based on the criteria of ≥95% similarity and ≥1000 bp query length, 298 genera were identified by all markers in the field samples, 250 (84%) were detected by 18S, while only 226 (76%) by V4 and 213 (71%) by V8-V9. Of the total 85 dinoflagellate genera observed, 19 genera were not defined by 18S dinoflagellate ASVs compared to only three among the total 52 diatom genera. The discrepancy in this resolution is due to the lack of taxonomically available 18S reference sequences in particular for dinoflagellates. Overall, this preliminary investigation demonstrates that application of the full-length 18S rDNA approach can be successful in field studies.
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Affiliation(s)
- Chetan C. Gaonkar
- Department of OceanographyTexas A&M UniversityCollege StationTexasUSA
| | - Lisa Campbell
- Department of OceanographyTexas A&M UniversityCollege StationTexasUSA
- Department of BiologyTexas A&M UniversityCollege StationTexasUSA
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Rishan ST, Kline RJ, Rahman MS. Exploitation of environmental DNA (eDNA) for ecotoxicological research: A critical review on eDNA metabarcoding in assessing marine pollution. CHEMOSPHERE 2024; 351:141238. [PMID: 38242519 DOI: 10.1016/j.chemosphere.2024.141238] [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: 07/04/2023] [Revised: 01/05/2024] [Accepted: 01/15/2024] [Indexed: 01/21/2024]
Abstract
The rise in worldwide population has led to a noticeable spike in the production, consumption, and transportation of energy and food, contributing to elevated environmental pollution. Marine pollution is a significant global environmental issue with ongoing challenges, including plastic waste, oil spills, chemical pollutants, and nutrient runoff, threatening marine ecosystems, biodiversity, and human health. Pollution detection and assessment are crucial to understanding the state of marine ecosystems. Conventional approaches to pollution evaluation usually represent laborious and prolonged physical and chemical assessments, constraining their efficacy and expansion. The latest advances in environmental DNA (eDNA) are valuable methods for the detection and surveillance of pollution in the environment, offering enhanced sensibility, efficacy, and involvement. Molecular approaches allow genetic information extraction from natural resources like water, soil, or air. The application of eDNA enables an expanded evaluation of the environmental condition by detecting both identified and unidentified organisms and contaminants. eDNA methods are valuable for assessing community compositions, providing indirect insights into the intensity and quality of marine pollution through their effects on ecological communities. While eDNA itself is not direct evidence of pollution, its analysis offers a sensitive tool for monitoring changes in biodiversity, serving as an indicator of environmental health and allowing for the indirect estimation of the impact and extent of marine pollution on ecosystems. This review explores the potential of eDNA metabarcoding techniques for detecting and identifying marine pollutants. This review also provides evidence for the efficacy of eDNA assessment in identifying a diverse array of marine pollution caused by oil spills, harmful algal blooms, heavy metals, ballast water, and microplastics. In this report, scientists can expand their knowledge and incorporate eDNA methodologies into ecotoxicological research.
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Affiliation(s)
- Sakib Tahmid Rishan
- Biochemistry and Molecular Biology Program, School of Integrative Biological and Chemical Sciences, University of Texas Rio Grande Valley, Brownsville, Texas, USA
| | - Richard J Kline
- Biochemistry and Molecular Biology Program, School of Integrative Biological and Chemical Sciences, University of Texas Rio Grande Valley, Brownsville, Texas, USA; School of Earth, Environmental, and Marine Sciences, University of Texas Rio Grande Valley, Brownsville, Texas, USA
| | - Md Saydur Rahman
- Biochemistry and Molecular Biology Program, School of Integrative Biological and Chemical Sciences, University of Texas Rio Grande Valley, Brownsville, Texas, USA; School of Earth, Environmental, and Marine Sciences, University of Texas Rio Grande Valley, Brownsville, Texas, USA.
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Yu Z, Tang Y, Gobler CJ. Harmful algal blooms in China: History, recent expansion, current status, and future prospects. HARMFUL ALGAE 2023; 129:102499. [PMID: 37951615 DOI: 10.1016/j.hal.2023.102499] [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: 05/12/2023] [Revised: 08/28/2023] [Accepted: 09/02/2023] [Indexed: 11/14/2023]
Abstract
The impacts of harmful algal blooms (HABs) on economies, public health, ecosystems, and aquaculture across the globe have all increased in recent decades, and this has been acutely the case in China. Here, we review the history of HABs and HABs research in China, as well as recent trends in HABs and future prospects of HAB science in China. The most updated analyses demonstrated that the number of HAB events, the number of HAB species, the aerial coverage of HABs, and the impacts of HABs in Chinese waters during the 21st century were all higher than that during the last two decades of the 20th century. The increase in the number of HABs in China has been significantly correlated with the increased discharge of ammonium and total phosphorus into coastal waters (p < 0.01 for both). Notable newly recognized events this century have included chronic HABs caused by Prorocentrum donghaiense and Karenia mikimotoi, a paralytic shellfish poisoning event caused by Gymnodinium catenatum that sickened 80 people, brown tides caused by Aureococcus anophagefferens, green tides caused by Ulva prolifera, golden tides caused by Sargassum horneri, and the disruption of a nuclear power plant caused by a bloom of Phaeocystis globosa. A series of key discoveries regarding HABs has been made this century including documentation of nearly all known HAB toxins in Chinese waters, discovery of novel cyst-formation and/or life stages of multiple HABs-causing species, identification of the chemical and physical oceanographic drivers of multiple HABs including those formed by P. donghaiense, K. mikimotoi, and U. prolifera, and the successful mitigation of HABs via the use of modified clay approaches. Future research prospects highlighted include the use of macroalgae as a means to prevent, mitigate, and control (PCM) HABs and the process by which multi-disciplinary studies involving molecular approaches (omics), remote in situ detection, artificial intelligence, and mega-data analyses might be used to develop refined and realistic HAB forecasting platforms. Collectively, this review demonstrates the significant evolution of HAB science since the 20th century in China and demonstrates that while HABs in China are complex and widespread, recent and on-going discoveries make the development of detailed understanding and effective measures to mitigate the negative effects of HABs a hopeful outcome in the coming years.
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Affiliation(s)
- Zhiming Yu
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China.
| | - Yingzhong Tang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
| | - Christopher J Gobler
- School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY 11790, United States of America
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