How Extreme Droughts Change the Impact of Eutrophic Reservoir on Its Outflow, with Special References to Planktonic Cyanobacteria and Their Secondary Metabolites?

Water, Journal Year: 2025, Volume and Issue: 17(1), P. 86 - 86

Published: Jan. 1, 2025

Increasingly frequent weather extremes induce changes in the quantity and quality of surface waters, complicating their use resource management. These challenges are particularly relevant to dam reservoirs, designed provide high-quality water for various recipients. The impact extreme drought on lowland eutrophic reservoir–river systems remains poorly understood. Our research showed that effects droughts, resulting a decrease level reservoir its outflow, more severe than those floods. During pressure increases because large load cyanobacteria released from reservoir, conditions low river discharge, is not diluted. unlike during increase total biomass potamoplankton and, especially, responsible production toxic microcystins was positively correlated with outflow. Additionally, shift dominant species observed, Planktothrix agardhii Microcystis spp., leading oligopeptide profile, including microcystins.

Language: Английский

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Cyanotoxin-encoding genes as powerful predictors of cyanotoxin production during harmful cyanobacterial blooms in an inland freshwater lake: Evaluating a novel early-warning system

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 830, P. 154568 - 154568

Published: March 14, 2022

Language: Английский

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Time-series modelling of harmful cyanobacteria blooms by convolutional neural networks and wavelet generated time-frequency images of environmental driving variables

Water Research, Journal Year: 2023, Volume and Issue: 246, P. 120662 - 120662

Published: Sept. 22, 2023

Early warning systems for harmful cyanobacterial blooms (HCBs) that enable precautional control measures within water bodies and in works are largely based on inferential time-series modelling. Among deep learning techniques, convolutional neural networks (CNNs) widely applied recognition of pictorial, acoustic thermal images. Time-frequency images environmental drivers generated by wavelets may provide crucial signals modelling HCBs to be recognized CNNs. This study applies CNNs Microcystis sp. four South Korean rivers between 2016 2022 means time-frequency the lead time HCBs. After estimating cardinal dates beginning, peak, ending HCBs, wavelet analysis identified key phase 3, 4 5 years. Performances were compared terms determinants input images: methods critical timings, number segments, continuity, image size. The resulting predicted high or low intensities with a mean accuracy 97.79 ± 0.06% F1-score 97.49 training dataset, 95.01 93.30 0.07% testing dataset. Predictions abundances achieved MSE 2.58 2.46 R2 0.78 0.20 training, 2.76 2.42 0.55 Precipitation discharge appeared best performing qualitative quantitative predictions pointing at nonstationary nature river habitats. highlights opportunities driven variables forecasting

Language: Английский

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Coexistence of Synechococcus and Microcystis Blooms in a Tropical Urban Reservoir and Their Links with Microbiomes

Environmental Science & Technology, Journal Year: 2023, Volume and Issue: 57(4), P. 1613 - 1624

Published: Jan. 18, 2023

Bacteria play a crucial role in driving ecological processes aquatic ecosystems. Studies have shown that bacteria–cyanobacteria interactions contributed significantly to phytoplankton dynamics. However, information on the contribution of bacterial communities blooms remains scarce. Here, we tracked changes community during development cyanobacterial bloom an equatorial estuarine reservoir. Two forms were observed simultaneously corresponding lotic and lentic characteristics sampling sites where significant spatial variabilities physicochemical water quality, biomass, secondary metabolites, cyanobacterial/bacterial compositions detected. Microcystis dominated upstream peak periods succeeded by Synechococcus when subsided. For main body reservoir, mixed featuring coccoid filamentous cyanobacteria (Microcystis, Synechococcus, Planktothricoides, Nodosilinea, Raphidiopsis, Prochlorothrix) was observed. Concentrations picocyanobacteria remained high throughout study, their positive correlations with cylindrospermopsin anatoxin-a suggested they could produce cyanotoxins, which pose more damaging impacts than previously supposed. Succession different (Synechococcus Microcystis) following nutrient composition ionic strength demonstrated. The microbiomes associated unique dominant cyanobacteria. Generic specialized biomarkers for downstream also identified. Microscillaceae, Chthoniobacteraceae, Roseomonas major heterotrophic bacteria bloom, whereas Phycisphaeraceae Methylacidiphilaceae most prominent groups bloom. Collectively, can be greatly deviated geological condition, monsoon season, density,

Language: Английский

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Cyanobacterial Algal Bloom Monitoring: Molecular Methods and Technologies for Freshwater Ecosystems

Microorganisms, Journal Year: 2023, Volume and Issue: 11(4), P. 851 - 851

Published: March 27, 2023

Cyanobacteria (blue-green algae) can accumulate to form harmful algal blooms (HABs) on the surface of freshwater ecosystems under eutrophic conditions. Extensive HAB events threaten local wildlife, public health, and utilization recreational waters. For detection/quantification cyanobacteria cyanotoxins, both United States Environmental Protection Agency (USEPA) Health Canada increasingly indicate that molecular methods be useful. However, each detection method has specific advantages limitations for monitoring HABs in water ecosystems. Rapidly developing modern technologies, including satellite imaging, biosensors, machine learning/artificial intelligence, integrated with standard/conventional overcome associated traditional cyanobacterial methodology. We examine advances cell lysis methodology conventional/modern methods, imaging techniques, polymerase chain reaction (PCR)/DNA sequencing, enzyme-linked immunosorbent assays (ELISA), mass spectrometry, remote sensing, learning/AI-based prediction models. This review focuses specifically methodologies likely employed ecosystems, especially Great Lakes region North America.

Language: Английский

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Dominant Dolichospermum and microcystin production in Detroit Lake (Oregon, USA)

Harmful Algae, Journal Year: 2025, Volume and Issue: 142, P. 102802 - 102802

Published: Jan. 18, 2025

Language: Английский

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Innovative Multiplex qPCR Method for Rapid and Reliable Detection of Microcystin-Producing Genes during Harmful Algal Blooms: Insights from Utah Reservoirs

Water Research, Journal Year: 2025, Volume and Issue: 277, P. 123322 - 123322

Published: Feb. 18, 2025

Language: Английский

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Algae in Recreational Waters: An Overview within a One Health Perspective

Water, Journal Year: 2024, Volume and Issue: 16(7), P. 946 - 946

Published: March 25, 2024

Recreational water activities are widely recognized to have a positive impact on our physical and mental well-being. However, recreational sources their management also risk factor for human health due different agents, including the overgrowth of cyanobacteria algae. The presence algae in waters represents One Health threat because potential release overuse biocides. These organisms metabolize organic matter produce thermophilic thermotolerant toxins. Moreover, species involved biofilm formation processes, thus impacting quality safety posing risks environment animal health. Different participate an managing equipment maintenance. By searching literature databases, e.g., PubMed, we reviewed state art, providing basic definitions, taxonomy, epidemiological or medical issues related uses water. Methods treatments monitoring were summarized, considering both traditional innovative strategies. Public surveillance approaches focus detection toxins, biofilms, understanding benthonic planktonic components as part larger microbial biodiversity. review process allowed us acknowledge that this is first comprehensive overview carried out within wider outlook.

Language: Английский

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Metagenomic insights into cyanotoxin dynamics in a Mexican subtropical lake

Chemosphere, Journal Year: 2025, Volume and Issue: 376, P. 144285 - 144285

Published: March 9, 2025

Valle de Bravo is a vital water supply for part of the metropolitan area Mexico megacity, providing 30% City's demand. This body has experienced an acceleration in its trophic status, going from oligotrophic to eutrophic just few years. temperate lake (at tropical latitude) persistent bloom dominated by variety co-occurring cyanobacteria, many which have toxigenic potential based on microscopic identification, that makes it difficult or even impractical identify cyanotoxin producers. To unravel this complexity and directly genera, we showed integrating classical approaches with metagenomic required. We first characterized, genes metagenomes assembled genomes, Cyanobacteria. found Microcystis was most dominant cyanobacterial genus sole carrier mcy operon, making only microcystin producer. then quantified twenty-one different cyanopeptides, including twelve congeners using high-performance liquid chromatography-high-resolution. Nine microcystins (MCs) emerging anabaenopeptin-A -B were at varying concentrations throughout year, MC-LA being common abundant. Our findings, constrained our sampling strategy, indicate conventional biomarkers (e.g., toxin genes) not consistently reliable indicators freshwater system. In study, followed dynamics community associated cyanopeptides unprecedented resolution. results implications better management toxic blooms system, supplies drinking more than 7 million people megalopolis México.

Language: Английский

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Using cyanobacteria and other phytoplankton to assess trophic conditions: A qPCR-based, multi-year study in twelve large rivers across the United States

Water Research, Journal Year: 2023, Volume and Issue: 235, P. 119679 - 119679

Published: Jan. 30, 2023

Language: Английский

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