The eco-physiology of harmful algal blooms DOI Open Access

Shalini Pal,

Debasish Mohapatra

Published: Jan. 1, 2023

Harmful algal blooms (HABs) can occur in freshwater and marine environments, caused by various species of planktonic algae spanning a wide taxonomic range.The occurrence these encompasses diverse array organisms, bloom dynamics, impact mechanisms.There are two primary factors that lead to bloom: natural mechanisms like circulation, relaxation upwelling, river ow, anthropogenic inputs, which result eutrophication.Unfortunately, there is common assumption solely responsible for recent stagnant waters coastal areas, not always true.This review highlights the ecological environmental contributing formation development blooms, focusing on nutrient enrichment, temperature, light availability, grazing pressure.By investigating physiological molecular responses bloom-forming changing conditions, aims provide insights into uencing size duration blooms.Ultimately, it contributes developing more e cient management mitigation strategies harmful blooms.

Language: Английский

Bioaerosol Characterization with Vibrational Spectroscopy: Overcoming Fluorescence with Photothermal Infrared (PTIR) Spectroscopy DOI
Jia H. Shi,

Carlie J. Poworoznek,

Rebecca L. Parham

et al.

The Journal of Physical Chemistry A, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 28, 2025

Aerosols containing biological material (i.e., bioaerosols) impact public health by transporting toxins, allergens, and diseases the climate nucleating ice crystals cloud droplets. Single particle characterization of primary aerosol particles (PBAPs) is essential, as individual physicochemical properties determine their impacts. Vibrational spectroscopies, such infrared (IR) or Raman spectroscopy, provide detailed information about components within atmospheric aerosols but these techniques have traditionally been limited due to diffraction limit IR radiation (particles >10 μm) fluorescence bioaerosol overwhelming signal. Herein, we use photothermal spectroscopy (PTIR) overcome limitations characterize PBAPs down 0.18 μm. Both optical-PTIR (O-PTIR) atomic force microscopy-PTIR (AFM-PTIR) were used generated from a cyanobacterial harmful algal bloom (cHAB) dominated Planktothrix agardhii. PTIR spectra contained modes consistent with traditional Fourier transform (FTIR) for species, including amide I (1630-1700 cm-1) II (1530-1560 cm-1). The fractions materials greater in supermicron (1.8-3.2 than submicron (0.18-0.32 0.56-1.0 aerosolized cHAB water. These results demonstrate potential both O-PTIR AFM-PTIR studying range bioaerosols vibrational spectroscopy.

Language: Английский

Citations

1
Construction of Brönsted sites on pyrite surface via plasma technology for efficient hydrolysis of microcystins-LR DOI
Qing Zhang, Yuting He, Jing Zhang

et al.

Journal of Environmental Sciences, Journal Year: 2025, Volume and Issue: 155, P. 622 - 632

Published: Jan. 25, 2025

Language: Английский

Citations

0
Detection of Aerosolized Anabaenopeptins from Cyanobacterial Harmful Algal Blooms in Atmospheric Particulate Matter DOI
Jia H. Shi,

Johnna A. Birbeck,

Nicole E. Olson

et al.

ACS Earth and Space Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 25, 2025

Language: Английский

Citations

0
Microalgae as Bio-based Circular Solutions for Harmful Algal Bloom (HAB) in Lake Tegel, Berlin, Germany DOI Creative Commons

Kei Namba,

Armin Dolatimehr

Advances in water security, Journal Year: 2025, Volume and Issue: unknown, P. 343 - 372

Published: Jan. 1, 2025

Language: Английский

Citations

0
Uncovering Microbial Interactions in a Persistent Planktothrix Bloom: Towards Early Biomarker Identification in Hypereutrophic Lakes DOI

Mashuk Siddiquee,

Susanna Francina Cornelius,

Young‐Woo Seo

et al.

Water Research, Journal Year: 2025, Volume and Issue: unknown, P. 123683 - 123683

Published: April 1, 2025

Language: Английский

Citations

0
Drivers and mechanisms of harmful algal blooms across hydrologic extremes in hypereutrophic grand lake st marys (Ohio) DOI

S.E. Newell,

Jason C. Doll,

Morgan C Jutte

et al.

Harmful Algae, Journal Year: 2024, Volume and Issue: 138, P. 102684 - 102684

Published: July 3, 2024

Language: Английский

Citations

3
Aerosolized Cyanobacterial Harmful Algal Bloom Toxins: Microcystin Congeners Quantified in the Atmosphere DOI
Jia H. Shi, Nicole E. Olson,

Johnna A. Birbeck

et al.

Environmental Science & Technology, Journal Year: 2023, Volume and Issue: 57(51), P. 21801 - 21814

Published: Dec. 11, 2023

Cyanobacterial harmful algal blooms (cHABs) have the potential to adversely affect public health through production of toxins such as microcystins, which consist numerous molecularly distinct congeners. Microcystins been observed in atmosphere after emission from freshwater lakes, but little is known about effects inhaling microcystins and factors contributing microcystin aerosolization. This study quantified total concentrations water aerosol samples collected around Grand Lake St. Marys (GLSM), Ohio. Microcystin on same day ranged 13 23 μg/L, dominated by d-Asp3-MC-RR congener. In particulate matter <2.5 μm (PM2.5), up 156 pg/m3 were detected; composed primarily d-Asp3-MC-RR, with additional congeners (d-Asp3-MC-HtyR d-Asp3-MC-LR) a sample prior storm event. The PM size fraction containing highest aerosolized MC concentration 0.44 2.5 μm. Analysis bacteria qPCR targeting 16S rDNA revealed 9.4 × 104 gc/m3 (≤3 μm), while marker specific cyanobacteria was not detected any samples. Concentrations varied even when relatively constant, demonstrating importance meteorological conditions (wind speed direction) generation mechanism(s) (wave breaking, spillway, aeration systems) evaluating inhalation exposure subsequent impacts human health.

Language: Английский

Citations

9
Characterization of Taxonomic and Functional Dynamics Associated with Harmful Algal Bloom Formation in Recreational Water Ecosystems DOI Creative Commons

Faizan Saleem,

Rachelle Atrache,

Jennifer L. Jiang

et al.

Toxins, Journal Year: 2024, Volume and Issue: 16(6), P. 263 - 263

Published: June 7, 2024

Harmful algal bloom (HAB) formation leads to the eutrophication of water ecosystems and may render recreational lakes unsuitable for human use. We evaluated applicability comparison metabarcoding, metagenomics, qPCR, ELISA-based methods cyanobacteria/cyanotoxin detection in non-bloom sites Great Lakes region. DNA sequencing-based robustly identified differences between samples (e.g., relative prominence Anabaena Planktothrix). Shotgun sequencing strategies also enrichment metabolic genes typical cyanobacteria samples, though toxin were not detected, suggesting deeper or PCR be needed detect low-abundance genes. ELISA indicated microcystin levels gene copies significantly more abundant sites. However, all positive microcystin, possibly due development by non-toxin-producing species. Additionally, correlated (positively) with copy number but total cyanobacterial 16S copies. In summary, next-generation can identify specific taxonomic functional targets, which used absolute quantification (qPCR ELISA) augment conventional monitoring strategies.

Language: Английский

Citations

2
Satellite imagery as a management tool for monitoring water clarity across freshwater ponds on Cape Cod, Massachusetts DOI Creative Commons
Megan M. Coffer, Nikolay P. Nezlin,

Nicole Bartlett

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 355, P. 120334 - 120334

Published: March 1, 2024

Water clarity serves as both an indicator and a regulator of biological function in aquatic systems. Large-scale, consistent water monitoring is needed for informed decision-making. Inland freshwater ponds lakes across Cape Cod, 100-km peninsula Massachusetts, are particular interest monitoring. Secchi disk depth (SDD), common measure clarity, has been measured intermittently over 200 Cod since 2001. Field-measured SDD data were used to estimate from satellite data, leveraging the NASA/USGS Landsat Program Copernicus Sentinel-2 mission, spanning 1984 2022. Random forest machine learning models generated reflectance maximum pond depth. Spearman rank correlations (rs) "strong" 5 7 (rs = 0.78 0.79), "very strong" 8, 9, 0.83, 0.86, 0.80). Mean absolute error also indicated strong predictive capacity, ranging 0.65 1.05 m, while average bias ranged −0.20 0.06 m. Long- recent short-term changes satellite-estimated assessed 193 ponds, selected based on surface area availability data. Long-term between 2022 established retrospective baseline using Mann-Kendall test trend Theil-Sen slope. Generally, long-term improved Cape; 149 increasing 8 deteriorating clarity. Recent 2021 identified that may benefit targeted management efforts Mann-Whitney U test. Between 2022, 96 deteriorations no While analyzed here constitute only one quarter they represent 85% its area, providing most spatially temporally comprehensive assessment date. Efforts focused but can be applied other areas given local field This study defines framework assessing change SDD, which important regional resource prioritization.

Language: Английский

Citations

1
Isotopic Differentiation (δ18OPO4) of Inorganic Phosphorus among Organic Wastes for Nutrient Runoff Tracing Studies: A Summary of the Literature with Refinement of Livestock Estimates for Grand Lake St. Marys Watershed (Ohio) DOI Creative Commons
Melanie M. Marshall, Stephen Jacquemin, Aubrey L. Jaqueth

et al.

Pollutants, Journal Year: 2024, Volume and Issue: 4(3), P. 316 - 323

Published: July 1, 2024

The use of stable isotopes, specifically δ18OPO4 ratios, in differentiating potential sources inorganic phosphorus (e.g., wastewater, septic, wild animals, domesticated livestock, substrates, or commercial fertilizers) to watersheds is a growing field. This method produces data that, used conjunction with statistical mixing models, enables better understanding contributing runoff. However, given the recent development this research area there are obvious limitations that have arisen, due large part limited available reference compare water samples. Here, we attempt expand availability samples by applying isotope methods three types common agricultural manures: poultry, dairy, and swine. We also aim concatenate organic waste literature on topic, creating more robust comparison database for future study application source partitioning research. Among our samples, ratios poultry were considerably elevated compared dairy swine manures (values 18.5‰, 16.5‰, 17.9‰, respectively). Extending other published from various products animals), total range 8.7‰ 23.1‰ emerged (with existing manure ranking among highest overall). Variation larger dataset demonstrates need further compilation waste, especially specific geographic regions watershed scales. With an increased sample size, strength associated these would greatly improve.

Language: Английский

Citations

1