Seawater carbonate chemistry and physiology and toxicity of dinoflagellate Karenia mikimotoi

• Main Authors: Wang, Xinjie, Feng, Xinqian, Zhuang, Yang, Lu, Jianghuan, Wang, Yang, Gonçalves, Rodrigo J, Li, Xi, Lou, Yongliang, Guan, WanChun
• Format: Dataset
• Language: English
• Published: PANGAEA - Data Publisher for Earth & Environmental Science 2019
• Subjects: Bottles or small containers/Aquaria <20 L; Chromista; Growth/Morphology; Immunology/Self-protection; Karenia mikimotoi; Laboratory experiment; Laboratory strains; Light; Myzozoa; Not applicable; Pelagos; Phytoplankton; Single species; Type; Species; Registration number of species; Uniform resource locator/link to reference; Experiment duration; Treatment; Day of experiment; Solar radiation; Solar ultraviolet radiation; Cell density; Cell density, standard deviation; Growth rate; Growth rate, standard deviation; Ratio; Ratio, standard deviation; Chlorophyll a per cell; Chlorophyll a, standard deviation; Carotenoids per cell; Carotenoids, standard deviation; Ultraviolet absorbing compounds; Ultraviolet absorbing compounds, standard deviation; Haemolytic activity; Haemolytic activity, standard deviation; Time in hours; Deformation rate; Deformation rate, standard deviation; Wavelength; Optical density; Temperature, water; Temperature, water, standard deviation; Salinity; Partial pressure of carbon dioxide water at sea surface temperature wet air; Partial pressure of carbon dioxide, standard deviation; pH; pH, standard deviation; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Bicarbonate ion; Bicarbonate ion, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbon dioxide; Carbon dioxide, standard deviation; Carbonate system computation flag; Fugacity of carbon dioxide water at sea surface temperature wet air; Alkalinity, total; Aragonite saturation state; Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. 2010; Ocean Acidification International Coordination Centre OA-ICC; Ocean acidification
• Online Access: https://dx.doi.org/10.1594/pangaea.923683; https://doi.pangaea.de/10.1594/PANGAEA.923683

A batch culture experiment was conducted to study the interactive effects of ocean acidification (OA) and solar ultraviolet radiation (UVR, 280–400 nm) on the harmful dinoflagellate Karenia mikimotoi. Cells were incubated in 7-days trials under four treatments. Physiological (growth, pigments, UVabc) and toxicity (hemolytic activity and its toxicity to zebrafish embryos) response variables were measured in four treatments, representing two factorial combinations of CO2 (400 and 1000 μatm) and solar irradiance (with or without UVR). Toxic species K. mikimotoi showed sustained growth in all treatments, and there was not statistically significant difference among four treatments. Cell pigment content decreased, but UVabc and hemolytic activity increased in all HC treatments and PAB conditions. The toxicity to zebrafish embryos of K. mikimotoi was not significantly different among four treatments. All HC and UVR conditions and the combinations of HC*UVR (HC-PAB) positively affected the UVabc, hemolytic activity in comparison to the LC*P (LC-P) treatment, and negatively affected the pigments. Ocean acidification (OA) was probably the main factor that affected the chlorophyll-a (Chl-a) and UVabc, but UVR was the main factor that affected the carotenoid (Caro) and hemolytic activity. There were no significant interactive effects of OA*UVR on growth, toxicity to zebrafish embryos. If these results are extrapolated to the natural environment, it can be hypothesized that this strain (DP-C32) of K. mikimotoi cells have the efficient mechanisms to endure the combination of ocean acidification and solar UVR. It is assumed that this toxic strain could form harmful bloom and enlarge the threatening to coastal communities, marine animals, even human health under future conditions. : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2019) was used to compute a complete and consistent set of carbonate system variables, as described by Nisumaa et al. (2010). In this dataset the original values were archived in addition with the recalculated parameters (see related PI). The date of carbonate chemistry calculation by seacarb is 2020-09-27.