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Culture-experiment dataset
The dataset including qPCR and microcystin is used for assessment of treatment. This dataset is associated with the following publication: Struewing, I., N. Sienkiewicz, C. Zhang, N. Dugan, and J. Lu. Effective Early Treatment of Microcystis Exponential Growth and Microcystin Production with Hydrogen Peroxide and Hydroxyapatite. Toxins. MDPI, Basel, SWITZERLAND, 15(1): 3, (2023).
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Use of qPCR and RT-qPCR for Monitoring Variations of Microcystin Producers and Early Warning Their Toxin Production in an Ohio Inland Lake
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qPCR and RT-qPCR. This dataset is associated with the following publication: Lu, J., I. Struewing, L. Wymer, D. Tettenhorst, J. Shoemaker, and J. Allen. Use of qPCR and RT-qPCR for monitoring variations of microcystin producers and as an early warning system to predict toxin production in an Ohio inland lake. WATER RESEARCH. Elsevier Science Ltd, New York, NY, USA, 170: 115262, (2020).
2016 Harsha EPA Dataset
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(1) qPCR and RT-qPCR for cyanotoxin producing genes, and (2) some water quality parameters. This dataset is associated with the following publication: Duan, X., C. Zhang, I. Struewing, X. Li, H. Allen, and J. Lu. Cyanotoxin-encoding genes as powerful predictors of cyanotoxin production during harmful cyanobacterial blooms in an inland freshwater lake: Evaluating a novel early-warning system. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 830: 154568, (2022).
Effects of herbicide exposure on growth of the cyanobacteria Microcystis aeruginosa (Cyanophyta) (NESP TWQ 3.1.5, AIMS and JCU)
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This dataset shows the effects of imazapic (detected in the Great Barrier Reef catchments) on the growth rate (from cell density data) on the cyanobacteria Microcystis aeruginosa over a 72 hour exposure period during laboratory experiments conducted in 2019. The aims of this project were to develop and apply standard ecotoxicology protocols to determine the effects of Photosystem II (PSII) and alternative herbicides on the growth of the cyanobacteria Microcystis aeruginosa. Growth bioassays were performed over 3-day exposures using imazapic which has been detected in the Great Barrier Reef catchment area (O’Brien et al. 2016). This toxicity data will enable improved assessment of the risks posed by the herbicide imazapic to cyanobacteria for both regulatory purposes and for comparison with other taxa. Methods: The cyanobacteria Microcystis aeruginosa (Kutzing) Kutzing 1846 (Cyanophyceae) (CS338/01) was purchased from the Australian National Algae Supply Service, Hobart (CSIRO). Cultures of M. aeruginosa were established in MLA medium (Bolch and Blackburn 1996). Cultures were maintained in sterile 250 mL Erlenmeyer flasks as batch cultures in exponential growth phase with weekly transfers of 1 - 3 mL of a 7 day-old M. aeruginosa suspension to 100 mL MLA medium under sterile conditions. Clean culture solutions were maintained at 26 ± 2°C, and under a 12:12 h light:dark cycle (91 ± 12 µmol photons m–2 s–1). Imazapic stock solution was prepared using PESTANAL (Sigma-Aldrich) analytical grade (HPLC greater than or equal to 98%) imazapic (CAS 104098-48-8). The selection of imazapic was based on application rates and detection in coastal waters of the GBR (Grant et al. 2017, O’Brien et al. 2016). Imazapic stock solution was prepared in 1 L volumetric flasks using milli-Q water. Imazapic was dissolved using analytical grade methanol (final concentration < 0.01% (v/v) in exposures). Cultures of M. aeruginosa were exposed to a range of herbicide concentrations over a period of 72 h. The inoculum was taken from cultures in the exponential growth phase (4 - 7-day-old cultures). A M. aeruginosa working suspension was prepared in a 100 mL volumetric flask. A 1:10 and 1:100 dilution was prepared and counted using a haemocytometer under a compound microscope to determine appropriate dilution volumes. The pre-determined inoculum was added to 50 mL of each test and control treatment replicates to the required dilution (3.1 x 104 cells / mL). A control (no herbicide) and solvent control treatment was added to support the validity of the test protocols and to monitor continued performance of the assays. All treatment concentrations were prepared in 0.5x strength MLA medium. Replicates were incubated at 26.6 ± 0.5 °C under a 12:12 h light:dark cycle (59 ± 9.7 µmol photons m–2 s–1). Sub-samples were taken from each replicate to measure cell densities of algal populations at 72 h using a haemocytometer under phase contrast conditions. Cell counts were done manually. Specific growth rates (SGR) were expressed as the logarithmic increase in cell density from day i (ti) to day j (tj) as per equation (1), where SGRi-j is the specific growth rate from time i to j; Xj is the cell density at day j and Xi is the cell density at day i (OECD 2011). SGR i-j = [(ln Xj - ln Xi )/(tj - ti )] (day-1) (1) SGR relative to the solvent control treatment was used to derive chronic effect values for growth inhibition. A test was considered valid if the SGR of solvent control replicates was ? 0.92 day-1 (OECD 2011). Physical and chemical characteristics (pH, electrical conductivity and temperature) of each treatment solution was measured at 0 hr and 72 hr. Growth cabinet temperature was logged in 15-min intervals over the total test duration. Analytical samples were taken at 0 hr and 72 hr. Mean percent inhibition in SGR of each treatment relative to the control treatment was calculated as per equation (2)(OECD 2011), where Xcontrol is the average SGR of solvent control
Analysis of Microcystis aeruginosa physiology by spectral flow cytometry: Impact of chemical and light exposure
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Analysis of Microcystis aeruginosa physiology by spectral flow cytometry: Impact of chemical and light exposure. new technique to observe photosynthesis to monitor the health or cyanobacteria and their reaction to hydrogen peroxide. This dataset is not publicly accessible because: The public would require specialized software in order to view and interpret files. It can be accessed through the following means: Email zucker.robert@epa.gov. Format: The data in the paper is acquired in proprietary format from the manufacturer of the equipment. This data presented in the paper can be read only by using the software from the manufacturer which is quite costly and not feasible to purchase unless the scientist owns the equipment. This dataset is associated with the following publication: Brentjens, E., E. Beall, and R. Zucker. Analysis of Microcystis aeruginosa physiology by spectral flow cytometry: Impact of chemical and light exposure. PLOS Water. Public Library of Science, San Francisco, CA, USA, 2(10): e0000177, (2023).
AndersonLake datasets
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The data include sequences, qPCR, RT-qPCR, water nutrients and cyanotoxins.
2022 Grand Lake St. Marys qPCR data for microcystin producers
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This data set includes qPCR data for the microcystin producing planktothrix (mcyApla) gene and the microcystin producing cyanobacteria (Hep) gene for samples collected from Grand Lake St. Marys and downstream waterways in 2022.
Determination of the concentration and activity of microcystin-LR and degradants after irradiation with 254 nm and 222 nm UV light with Protein phosphatase 2a inhibition assays and high-resolution mass spectrometry using isotope dilution
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Microcystin-LR (MC-LR), a cyanotoxin produced during some harmful algal blooms (HABs), can have negative impacts on water ecosystems. Current treatment methods have potential drawbacks: physical removal can cause cell lysis and toxin release, and chemical treatment can cause disinfection byproducts (DBPs). Ultraviolet C (UV-C) treatment can degrade cyanotoxins without producing additional waste in the process. In this study we compared the degradation of MC-LR (initial concentration ~50 ppb) in deionized (DI) water and surface waters by UV-C light emitted from a krypton-chlorine excimer lamp (UV222) versus a low-pressure Hg lamp (UV254). Quantitative analyses of the resulting samples by protein phosphatase 2a (PP2a) inhibition assays and liquid chromatography-high resolution mass spectrometry (LC-HRMS) were completed. The results of these analysis are provided in this data release.
HABqPCR DataSet
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This data covers reverse transcriptase qPCR quantification of microcystin gene activity during the summer bloom seasons in 2015, 2016 and 2017 for08/20/2019 Harsha Lake in Ohio. This dataset is associated with the following publication: Wymer, L., S. Vesper, I. Struewing, J. Allen, and J. Lu. Possible Antagonism between Cladosporium cladosporioides and Microcystis aeruginosa in a Freshwater Lake during Bloom Seasons. Life. MDPI, Basel, SWITZERLAND, 12(5): 742, (2022).
2023 Grand Lake St. Marys qPCR data for microcystin producers
공공데이터포털
This data set includes qPCR data for the microcystin producing planktothrix (mcyApla) gene and the microcystin producing cyanobacteria (Hep) gene for samples collected from Grand Lake St. Marys and downstream waterways in 2023.