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Bálint M, Tumusiime J, Nakintu J, Baranski D, Schardt L, Romahn J, Dusabe MC, Tolo CU, Kagoro GR, Ssenkuba F, Junginger A, Albrecht C. Environmental DNA barcoding reveals general biodiversity patterns in the large tropical rift Lake Albert. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 957:177308. [PMID: 39521085 DOI: 10.1016/j.scitotenv.2024.177308] [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: 08/09/2024] [Revised: 10/13/2024] [Accepted: 10/28/2024] [Indexed: 11/16/2024]
Abstract
Lake Albert, Africa's seventh-largest lake and a biodiversity hotspot, faces significant environmental challenges, including unregulated anthropogenic pressure and a lack of comprehensive biological studies. To address the scarcity of biodiversity data, we utilized environmental DNA (eDNA) metabarcoding to assess the lake's eukaryotic and metazoan communities. Surface water samples were collected at three distinct locations: close to the southern inflow of the Semliki River, the central part of the lake, and close to the northern inflow of the Victoria Nile and outflow of the Albert Nile. We aimed to study ecological patterns across the lake, focusing on sequence variant richness and community composition, testing for differences among locations and between shoreline and pelagic zones. Consistent with previous morphology-based observations, our results revealed differences in community composition among the three sites, with cyclopoid copepods dominating the communities. Distance from shore was a significant factor influencing community composition, confirming expectations about the effects of nutrient and oxygen availability gradients. However, the lack of comprehensive reference sequence data limited accurate taxonomic assignments. Despite these limitations, our study demonstrates that eDNA metabarcoding is highly useful for assessing biodiversity in underexplored tropical freshwater ecosystems. We advocate for urgent efforts to generate reference sequences from tropical regions to enhance the utility of eDNA for biodiversity monitoring and conservation. Our findings underscore the potential of eDNA in providing insights into ecological patterns of entire communities and emphasize the need for comprehensive studies addressing the full taxonomic spectrum in tropical freshwater ecosystems.
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Affiliation(s)
- Miklós Bálint
- Institute of Insect Biotechnology, Justus-Liebig University, Heinrich-Buff-Ring 26, 35392 Gießen, Germany; Senckenberg Biodiversity and Climate Research Centre, Senckenberganlage 25, 60325 Frankfurt am Main, Germany; LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt am Main, Germany.
| | - Julius Tumusiime
- Mbarara University of Science and Technology, P.O Box 1410, Mbarara, Uganda; Institute of Animal Ecology and Systematics, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Gießen, Germany
| | - Justine Nakintu
- Mbarara University of Science and Technology, P.O Box 1410, Mbarara, Uganda
| | - Damian Baranski
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt am Main, Germany
| | - Leonie Schardt
- LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt am Main, Germany
| | - Juliane Romahn
- Institute of Insect Biotechnology, Justus-Liebig University, Heinrich-Buff-Ring 26, 35392 Gießen, Germany; Senckenberg Biodiversity and Climate Research Centre, Senckenberganlage 25, 60325 Frankfurt am Main, Germany; LOEWE Centre for Translational Biodiversity Genomics, Senckenberganlage 25, 60325 Frankfurt am Main, Germany
| | - Marie-Claire Dusabe
- Institute of Animal Ecology and Systematics, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Gießen, Germany
| | - Casim Umba Tolo
- Mbarara University of Science and Technology, P.O Box 1410, Mbarara, Uganda
| | | | - Francis Ssenkuba
- Mbarara University of Science and Technology, P.O Box 1410, Mbarara, Uganda
| | - Annett Junginger
- Department of Geosciences, Eberhard Karls University, Hölderlinstr. 12, 72074 Tübingen, Germany
| | - Christian Albrecht
- Mbarara University of Science and Technology, P.O Box 1410, Mbarara, Uganda; Institute of Animal Ecology and Systematics, Justus Liebig University, Heinrich-Buff-Ring 26-32, 35392 Gießen, Germany
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Hoang TMH, Te MS, Hieu Duong V, Luong QD, Stiers I, Triest L. Relationship between water quality and phytoplankton distribution of aquaculture areas in a tropical lagoon. ENVIRONMENTAL MONITORING AND ASSESSMENT 2024; 196:1099. [PMID: 39446233 DOI: 10.1007/s10661-024-13245-2] [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: 07/16/2024] [Accepted: 10/10/2024] [Indexed: 10/25/2024]
Abstract
Aquaculture activities can affect water quality and phytoplankton composition. Our study estimated phytoplankton density and composition relating to aquaculture-impacted environmental factors. We analyzed water quality and phytoplankton at 35 sites in a tropical brackish lagoon, including inside aquaculture ponds (integrated farming of fish, shrimp, and crab), at wastewater discharge points, within 300 m of these points, and farther out in the lagoon. Measurements were taken after aquaculture activities started in March and again in July. In both periods, total nitrogen (TN), total phosphorus (TP), chlorophyll-a (Chl-a), and turbidity decreased from the aquaculture ponds to the farther lagoon areas. Principal component analysis showed that nutrients, turbidity, and Chl-a were critical factors in aquaculture ponds, while salinity, temperature, pH, dissolved oxygen (DO), and water depth influenced water quality outside the ponds. Phytoplankton density was higher in July than in March due to aquaculture characteristics. Redundancy analysis indicated that phytoplankton, typical of inorganic, turbid, shallow lakes, was present throughout, whereas marine phytoplankton characterized the open water area (OWA). Marine phytoplankton caused a higher Shannon-Wiener index in July compared to March for OWA. Phytoplankton in aquaculture ponds was dominated by Oscillatoria spp., while Thalassiosira spp. dominated outside the ponds. We also identified indicator genera for two connected lagoons. Although constant water exchange prevented identifying specific indicator phytoplankton groups for aquaculture, this revealed the impact of wastewater from aquaculture ponds on the natural environment in the lagoons. Research on phytoplankton communities is necessary for the sustainable development of aquaculture and environmental management in coastal lagoons.
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Affiliation(s)
- Thi My Hang Hoang
- Archaeology, Environmental Changes and Geo-Chemistry (AMGC), Vrije Universiteit Brussel, Brussels, Belgium.
- Faculty of Environmental Science, University of Sciences, Hue University, Hue, Vietnam.
| | - Minh Son Te
- Faculty of Environmental Science, University of Sciences, Hue University, Hue, Vietnam
- Graduate School of Integrated Science and Technology, Nagasaki University, Nagasaki, Japan
| | - Van Hieu Duong
- Faculty of Environmental Science, University of Sciences, Hue University, Hue, Vietnam
| | - Quang Doc Luong
- Faculty of Biology, University of Sciences, Hue University, Hue, Vietnam
| | - Iris Stiers
- Department of Biology, Vrije Universiteit Brussel, Brussels, Belgium
- Multidisciplinair Instituut Lerarenopleiding (MILO), Brussels Institute for Teacher Education (BRITE), Vrije Universiteit Brussel, Brussels, Belgium
| | - Ludwig Triest
- Department of Biology, Vrije Universiteit Brussel, Brussels, Belgium
- Systems Ecology and Resource Management Research Unit, Department of Organism Biology, Université Libre de Bruxelles, Brussels, Belgium
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Huang J, Zhao H, Wang W, Qin X, Wang P, Hou Q, Chen Q, Jiang G, Dong K, Jiang T, Pu Y, Li N. Harmful Microalgae Exhibit Broad Environmental Adaptability in High-Salinity Area Across the Dafengjiang River Estuary. Ecol Evol 2024; 14:e70455. [PMID: 39445184 PMCID: PMC11496773 DOI: 10.1002/ece3.70455] [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: 05/31/2024] [Revised: 09/25/2024] [Accepted: 09/30/2024] [Indexed: 10/25/2024] Open
Abstract
Harmful algal blooms (HABs) often occur in estuaries due to their unique environmental heterogeneity, posing significant environmental and human health risks. However, there is limited understanding of the community composition and community-level change points (thresholds) of harmful microalgae in subtropical estuaries. This study explored harmful microalgae community structure and thresholds in the Dafengjiang River estuary using a metabarcoding approach. The results revealed 63 harmful microalgae species, and major species included Guinardia flaccida, Prorocentrum cordatum, Thalassiosira punctigera, Pseudo-nitzschia galaxiae and T. gravida. Nonparametric change-point analysis and threshold indicator taxa analysis (TITAN) showed threshold responses of harmful microalgae community structure to ammonium (57.5-60 μg·L-1), total phosphorus (27.8-28.5 μg·L-1) and dissolved inorganic phosphorus (14.5-28 μg·L-1) along the salinity gradient. Wider environmental thresholds were also found in hypersaline areas. Additionally, Pyrodinium bahamense, Pfiesteria piscicida, Skeletonema tropicum and T. punctigera were sensitive to environmental changes and thus could be used as bioindicators. Overall, our study unveiled diverse abrupt transitions of harmful microalgal communities, providing a risk assessment for human health and ecological safety in subtropical estuary ecosystems.
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Affiliation(s)
- Jiongqing Huang
- School of AgricultureLudong UniversityYantaiChina
- Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and MeteorologyGuangdong Ocean UniversityZhanjiangChina
| | - Huaxian Zhao
- Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong ProvinceGuangdong Ocean UniversityZhanjiangChina
| | - WeiJun Wang
- School of AgricultureLudong UniversityYantaiChina
| | - Xinyi Qin
- Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and MeteorologyGuangdong Ocean UniversityZhanjiangChina
- Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong ProvinceGuangdong Ocean UniversityZhanjiangChina
- Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of EducationNanning Normal UniversityNanningChina
| | - Pengbin Wang
- Key Laboratory of Marine Ecosystem DynamicsSecond Institute of Oceanography, Ministry of Natural ResourcesHangzhouChina
| | - Qinghua Hou
- Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and MeteorologyGuangdong Ocean UniversityZhanjiangChina
- Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong ProvinceGuangdong Ocean UniversityZhanjiangChina
| | - Qingxiang Chen
- Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and MeteorologyGuangdong Ocean UniversityZhanjiangChina
- Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong ProvinceGuangdong Ocean UniversityZhanjiangChina
| | - Gonglingxia Jiang
- Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and MeteorologyGuangdong Ocean UniversityZhanjiangChina
- Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong ProvinceGuangdong Ocean UniversityZhanjiangChina
| | - Ke Dong
- Department of Biological SciencesKyonggi UniversitySuwonSouth Korea
| | - Tao Jiang
- School of OceanYantai UniversityYantaiChina
| | - Yang Pu
- School of AgricultureLudong UniversityYantaiChina
| | - Nan Li
- Laboratory for Coastal Ocean Variation and Disaster Prediction, College of Ocean and MeteorologyGuangdong Ocean UniversityZhanjiangChina
- Key Laboratory of Climate, Resources and Environment in Continental Shelf Sea and Deep Sea of Department of Education of Guangdong ProvinceGuangdong Ocean UniversityZhanjiangChina
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Xu Q, Huang M, Yang S, Li X, Zhao H, Tang J, Jiang G, Li Z, Huang Y, Dong K, Huang L, Li N. Ecological stoichiometry influences phytoplankton alpha and beta diversity rather than the community stability in subtropical bay. Ecol Evol 2022; 12:e9301. [PMID: 36177126 PMCID: PMC9463046 DOI: 10.1002/ece3.9301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 08/07/2022] [Accepted: 08/17/2022] [Indexed: 11/18/2022] Open
Abstract
Numerous studies have shown that changes in environmental factors can significantly impact and shift the structure of phytoplankton communities in marine ecosystems. However, little is known about the association between the ecological stoichiometry of seawater nutrients and phytoplankton community diversity and stability in subtropical bays. Therefore, we investigated the relationship between the phytoplankton community assemblage and seasonal variation in the Beibu Gulf, South China Sea. In this study, we found that the abundance of Bacillariophyceae in spring was relatively greater than in other seasons, whereas the abundance of Coscinodiscophyceae was relatively low in spring and winter but greatly increased in summer and autumn. Values of the alpha diversity indices gradually increased from spring to winter, revealing that seasonal variations shifted the phytoplankton community structure. The regression lines between the average variation degree and the Shannon index and Bray-Curtis dissimilarity values showed significantly positive correlations, indicating that high diversity was beneficial to maintaining community stability. In addition, the ecological stoichiometry of nutrients exhibited significantly positive associations with Shannon index and Bray-Curtis dissimilarity, demonstrating that ecological stoichiometry can significantly influence the alpha and beta diversity of phytoplankton communities. The C:N:P ratio was not statistically significantly correlated with average variation degree, suggesting that ecological stoichiometry rarely impacted the community stability. Temperature, nitrate, dissolved inorganic phosphorous, and total dissolved phosphorus were the main drivers of the phytoplankton community assemblage. The results of this study provide new perspectives about what influences phytoplankton community structure and the association between ecological stoichiometry, community diversity, and stability in response to environmental changes.
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Affiliation(s)
- Qiangsheng Xu
- Key Laboratory of Ministry of Education for Environment Change and Resources Use in Beibu Gulf (Nanning Normal University), Guangxi Key Laboratory of Earth Surface Processes and Intelligent SimulationNanning Normal UniversityNanningGuangxiChina
| | - Meiqin Huang
- Guangxi Station of Radiation Environment Supervision, Department of Ecology and Environment of GuangxiNanningChina
| | - Shu Yang
- Key Laboratory of Ministry of Education for Environment Change and Resources Use in Beibu Gulf (Nanning Normal University), Guangxi Key Laboratory of Earth Surface Processes and Intelligent SimulationNanning Normal UniversityNanningGuangxiChina
| | - Xiaoli Li
- School of Agriculture, Ludong UniversityYantaiChina
| | - Huaxian Zhao
- Key Laboratory of Ministry of Education for Environment Change and Resources Use in Beibu Gulf (Nanning Normal University), Guangxi Key Laboratory of Earth Surface Processes and Intelligent SimulationNanning Normal UniversityNanningGuangxiChina
| | - Jinli Tang
- Key Laboratory of Ministry of Education for Environment Change and Resources Use in Beibu Gulf (Nanning Normal University), Guangxi Key Laboratory of Earth Surface Processes and Intelligent SimulationNanning Normal UniversityNanningGuangxiChina
| | - Gonglingxia Jiang
- Key Laboratory of Ministry of Education for Environment Change and Resources Use in Beibu Gulf (Nanning Normal University), Guangxi Key Laboratory of Earth Surface Processes and Intelligent SimulationNanning Normal UniversityNanningGuangxiChina
| | - Zhuoting Li
- Key Laboratory of Ministry of Education for Environment Change and Resources Use in Beibu Gulf (Nanning Normal University), Guangxi Key Laboratory of Earth Surface Processes and Intelligent SimulationNanning Normal UniversityNanningGuangxiChina
| | - Yuqing Huang
- Key Laboratory of Ministry of Education for Environment Change and Resources Use in Beibu Gulf (Nanning Normal University), Guangxi Key Laboratory of Earth Surface Processes and Intelligent SimulationNanning Normal UniversityNanningGuangxiChina
| | - Ke Dong
- Department of Biological SciencesKyonggi UniversitySuwon‐siSouth Korea
| | - Liangliang Huang
- College of Environmental Science and Engineering, Guilin University of TechnologyGuilinChina
| | - Nan Li
- Key Laboratory of Ministry of Education for Environment Change and Resources Use in Beibu Gulf (Nanning Normal University), Guangxi Key Laboratory of Earth Surface Processes and Intelligent SimulationNanning Normal UniversityNanningGuangxiChina
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Behney AC. Ignoring uncertainty in predictor variables leads to false confidence in results: a case study of duck habitat use. Ecosphere 2020. [DOI: 10.1002/ecs2.3273] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Affiliation(s)
- Adam C. Behney
- Avian Research Section Colorado Parks and Wildlife 317 W Prospect Road Fort Collins Colorado80526USA
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