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  • 11
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    Unknown
    PANGAEA
    In:  Supplement to: Kottmeier, Dorothee; Rokitta, Sebastian D; Rost, Björn (2016): Acidification, not carbonation, is the major regulator of carbon fluxes in the coccolithophore Emiliania huxleyi. New Phytologist, 211(1), 126-137, https://doi.org/10.1111/nph.13885
    Publication Date: 2023-03-16
    Description: - A combined increase in seawater [CO2] and [H+] was recently shown to induce a shift from photosynthetic HCO3- to CO2 uptake in Emiliania huxleyi. This shift occurred within minutes, whereas acclimation to ocean acidification (OA) did not affect the carbon source. - To identify the driver of this shift, we exposed low- and high-light acclimated E. huxleyi to a matrix of two levels of dissolved inorganic carbon (1400, 2800 lmol kg-1) and pH (8.15, 7.85) and directly measured cellular O2, CO2 and HCO3 fluxes under these conditions. - Exposure to increased [CO2] had little effect on the photosynthetic fluxes, whereas increased [H+] led to a significant decline in HCO3- uptake. Low-light acclimated cells overcompensated for the inhibition of HCO3- uptake by increasing CO2 uptake. High-light acclimated cells, relying on higher proportions of HCO3- uptake, could not increase CO2 uptake and photosynthetic O2 evolution consequently became carbon-limited. - These regulations indicate that OA responses in photosynthesis are caused by [H+] rather than by [CO2]. The impaired HCO3- uptake also provides a mechanistic explanation for lowered calcification under OA. Moreover, it explains the OA-dependent decrease in photosynthesis observed in high-light grown phytoplankton.
    Keywords: AWI_Phytochange; Phytochange @ AWI
    Type: Dataset
    Format: application/zip, 16.7 kBytes
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  • 12
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    Unknown
    PANGAEA
    In:  Supplement to: Wördenweber, Robin; Rokitta, Sebastian D; Heidenreich, Elena; Corona, Katrin; Kirschhöfer, Frank; Fahl, Kirsten; Klocke, Jessica L; Kottke, Tilman; Brenner-Weiß, Gerald; Rost, Björn; Mussgnug, Jan H; Kruse, Olaf (2017): Phosphorus and nitrogen starvation reveal life-cycle specific responses in the metabolome of Emiliania huxleyi (Haptophyta). Limnology and Oceanography, 24 pp, https://doi.org/10.1002/lno.10624
    Publication Date: 2023-01-13
    Description: The coccolithophore Emiliania huxleyi is a microalga with biogeochemical and biotechnological relevance, due to its high abundance in the ocean and its ability to form intricate calcium carbonate structures. Depletion of macronutrients in oceanic waters is very common and will likely enhance with advancing climate change. We present the first comprehensive metabolome study analyzing the effect of phosphorus (P) and nitrogen (N) starvation on the diploid and haploid life-cycle stage, applying various metabolome analysis methods to gain new insights in intracellular mechanisms to cope with nutrient starvation. P-starvation led to an accumulation of many generic and especially N-rich metabolites, including lipids, osmolytes and pigments. This suggests that P-starvation primarily arrests cell-cycling due to lacking P for nucleic acid synthesis, but that enzymatic functionality is widely preserved. Also, the de-epoxidation ratio of the xanthophyll cycle was upregulated in the diploid stage under P-starvation, indicating increased nonphotochemical quenching, a response typically observed under high light stress. In contrast, N-starvation resulted in a decrease of most central metabolites, also P-containing ones, especially in the diploid stage, indicating that most enzymatic functionality ceased. The two investigated nutrient starvation conditions caused significantly different responses, contrary to previous assumptions derived from transcriptomic studies. Data highlight that instantaneous biochemical flux is a more dominant driver of the metabolome than the transcriptomically rearranged pathway patterns. Due to the fundamental nature of the observed responses it may be speculated that microalgae with similar nutrient requirements can cope better with P-starvation than with N-starvation.
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 118.8 kBytes
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  • 13
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    PANGAEA
    In:  Supplement to: Hoppe, Clara Jule Marie; Langer, Gerald; Rokitta, Sebastian D; Wolf-Gladrow, Dieter A; Rost, Björn (2012): Implications of observed inconsistencies in carbonate chemistry measurements for ocean acidification studies. Biogeosciences, 9, 2401-2405, https://doi.org/10.5194/bg-9-2401-2012
    Publication Date: 2023-11-25
    Description: The growing field of ocean acidification research is concerned with the investigation of organism responses to increasing pCO2 values. One important approach in this context is culture work using seawater with adjusted CO2 levels. As aqueous pCO2 is difficult to measure directly in small-scale experiments, it is generally calculated from two other measured parameters of the carbonate system (often AT, CT or pH). Unfortunately, the overall uncertainties of measured and subsequently calculated values are often unknown. Especially under high pCO2, this can become a severe problem with respect to the interpretation of physiological and ecological data. In the few datasets from ocean acidification research where all three of these parameters were measured, pCO2 values calculated from AT and CT are typically about 30% lower (i.e. ~300 µatm at a target pCO2 of 1000 µatm) than those calculated from AT and pH or CT and pH. This study presents and discusses these discrepancies as well as likely consequences for the ocean acidification community. Until this problem is solved, one has to consider that calculated parameters of the carbonate system (e.g. pCO2, calcite saturation state) may not be comparable between studies, and that this may have important implications for the interpretation of CO2 perturbation experiments.
    Keywords: Alkalinity, total; Carbon dioxide; EPOCA; European Project on Ocean Acidification; Mediterranean Sea Acidification in a Changing Climate; MedSeA; Method comment; pH; Phosphate; Salinity; Silicate; Temperature, water; Type
    Type: Dataset
    Format: text/tab-separated-values, 197 data points
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  • 14
    Publication Date: 2024-01-26
    Description: We assessed the responses of solitary cells of Arctic Phaeocystis pouchetii (Strain PS78) grown under a matrix of temperature (2°C vs. 6°C), light intensity (55 vs. 160 μmol photons m-2 s-1) and CO2 partial pressures (pCO2; 400 vs. 1000 μatm). Before the experiments, the strain (isolated during Polarstern cruise PS78 in 2011) was kept as stock culture at 1° in 0.2 µm sterile-filtered Arctic seawater (Salinity 33), enriched with vitamins and trace metals according to F/2 medium (Guillard & Ryther, 1962). Nitrate and phosphate were added in concentrations of 100 and 6 µmol L-1, respectively. Experiments were conducted between May 2016 and September 2017 at the Alfred-Wegener-Institute, using standardized media and continuous light exposition. Next to acclimation parameters (growth rates, particulate and dissolved organic carbon and nitrogen, chlorophyll a content), we measured physiological processes in-vivo (electron transport rates and net photosynthesis) using fast-repetition rate fluorometry and membrane-inlet mass spectrometry.
    Keywords: Alkalinity, total; Bottle incubation; calculated from carbonate chemistry using the CO2Sys Excel sheet (Pierrot, Lewis & Wallace, 2006); calculated from chlorophyll a (chl a) and particulate organic carbon (POC) quota; calculated from growth rate and particulate organic carbon (POC) quota; calculated from growth rate and particulate organic nitrogen (PON) quota; calculated from particulate organic carbon (POC) and particulate organic nitrogen (PON) quota; Carbon, inorganic, dissolved; Carbon dioxide, partial pressure; Colorimetric detection, TRAACs continuous flow autoanalyzer, according to the method of Stoll et al. (2001); Coulter counter, Beckman Coulter, Multisizer 3; DATE/TIME; Electron transport rate, relative; Elemental analyzer, EuroVector, EuroEA; EXP; Experiment; Experimental treatment; Fitted parameter using the photosynthesis vs. Irradiance equation from Rokitta & Rost (2012), raw data obtained using a membrane-inlet mass spectrometer (MIMS) as described in Kottmeier, Rokitta & Rost (2016); Fitted parameter using the photosynthesis vs. Irradiance equation from Rokitta & Rost (2012); raw data obtained using a fast-repetition rate fluoremeter (FRRF), FastOcean PTX with FastAct Laboratory system, Chelsea Technologies after Oxborough et al. (201; Fluorometer, Turner Designs, TD-700, using acidification method (Knap et al., 1996); Fram Strait; Identification; Initial slope of the photosynthesis-irradiance curve; Initial slope of the photosynthesis-irradiance curve, relative electron transfer rate per unit light; Light; Light acclimation index; Maximum photosynthesis rate, oxygen, per chlorophyll a; model simulation; pCO2; pCO2 mixed from CO2-free air and pure CO2 with a custom built gas mixing system; pH; pH 826 mobile handheld device, with Aquatrode Plus, Metrohm; Phaeocystis_pouchetii_PS78; Phaeocystis pouchetii; Phaeocystis pouchetii, carbon, organic, particulate/nitrogen, organic, particulate ratio; Phaeocystis pouchetii, chlorophyll a/carbon, organic, particulate ratio; Phaeocystis pouchetii, chlorophyll a quota per cell; Phaeocystis pouchetii, growth rate; Phaeocystis pouchetii, particulate organic carbon production per cell; Phaeocystis pouchetii, particulate organic carbon quota per cell; Phaeocystis pouchetii, particulate organic nitrogen production per cell; Phaeocystis pouchetii, particulate organic nitrogen quota per cell; Phytoplankton; RCP8.5; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Strain; Temperature; Temperature, water; Thermometer, internal, Aquatrode Plus, Metrohm; Treatment: light intensity; Treatment: partial pressure of carbon dioxide; Treatment: temperature; Type of study; Universal light meter & data logger, WALZ, ULM-500, with 4Pi sensor, LI-COR
    Type: Dataset
    Format: text/tab-separated-values, 908 data points
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  • 15
    Publication Date: 2024-02-15
    Description: Phaeodactylum tricornutum strain CCAP 1052/1A was cultivated at 6°C and 15°C under controlled conditions (32 salinity, F/2 medium, 400 µatm pCO2, 100 µmol photons m-2 s-2 light intentsity 16:8 light:dark cycle) in semi-continous batch cultures. We assessed the carbonate chemistry (pH, total alkalinity, dissolved inorganic carbon), growth rates, particulate organic carbon and nitrogen (POC and PON), chlorophyll a quota (Chl a), POC:PON ratios, Chl a:POC ratios as well as production rates at both acclimation temperatures. Additionally, we performed biological invivo assays to measure rates of gross photosynthetic oxygen release, gross photosynthetic carbon uptake, respiratory oxygen uptake and respiratory carbon release using membrane-inlet mass-spectrometry. Assays were performed in photosynthesis-irradiance-(PI-)curves of increasing light intensity (0, 50, 150, 250, 400 µmol photons m-2 s-2). First rates were measured under acclimation temperature (6°C and 15°C), directly afterwards, the assay temperature was abruptly shifted to 15°C or 6°C, respectively, and the PI-curve measurement was repeated, so that 6°C acclimated cells were measured at 15°C and 15°C acclimated cells were measured at 6°C. Q10 factors were calculated from acclimated cells und the respective temperature shift. Photosynthetic and respiratory quotients were calculated for acclimated cells as well as after the abrupt temperature shift. PI-parameters, i.e. maximum photosynthesis rate, light use efficiency and light saturation index were calculated. All experiments were performed in laboratories at the Alfred-Wegener-Institute Bremerhaven.
    Keywords: Alkalinity, total; Calculated; Calculation according to Rehder et al. (2023); Calculation according to Rokitta & Rost (2012); Carbon, inorganic, dissolved; Carbon, organic, particulate, per cell; Carbon, organic, particulate/Nitrogen, organic, particulate ratio; Chlorophyll a/particulate organic carbon ratio; Chlorophyll a per cell; Coulter Counter (Beckman Coulter); Date/time end, experiment; Date/time start, experiment; Diatom; Elemental analyzer, EuroVector, EA 3000; Experiment; Factor quantifying temperature dependent change of rates of processes; Generation; Gross photosynthetic carbon uptake rate, per chlorophyll a; Gross photosynthetic oxygen release rate, per chlorophyll a; Growth rate; Laboratory; Laboratory experiment; Laboratory fluorometer, Turner, Trilogy; Light saturation index; Light use efficiency; Maximum photosynthetic carbon uptake rate, per chlorophyll a; Maximum photosynthetic oxygen release rate, per chlorophyll a; Measured with colorimetric assay on QuAAtro continuous segmented flow analyzer (Seal Analytical); Medium; Membrane inlet mass spectrometer (MIMS), GV Instruments, Isoprime; Nitrogen, organic, particulate, per cell; Particulate organic carbon production per cell; pH; Phaeodactylum tricornutum; Photosynthesis; Photosynthetic quotient; Physiological performance; Phytoplankton; Respiration; Respiratory carbon release rate, per chlorophyll a; Respiratory oxygen uptake rate, per chlorophyll a; Respiratory quotient; Salinity; Sample ID; Sampling date/time, experiment; Species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Strain; Temperature; Titration analyzer, Schott Instruments, TitroLine alpha plus; Treatment: light:dark cycle; Treatment: light intensity; Treatment: temperature; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 736 data points
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  • 16
    Publication Date: 2024-03-21
    Description: We conducted a full-factorial lab experiment to study the individual and combined effects of temperature (18°C and 21°C), pCO2 (400 and 1000 ppm), and dissolved N:P ratio (16 and 25 molar) on the antioxidant capacity and carbon metabolism of the phytoplankton Phaeodactylum tricornutum (strain CCAP 1052/1A). The antioxidant response was assessed based on different biomarkers, including the contents of protective carotenoids (ß-Carotene, diadinoxanthin and violaxanthin), and by determination of antioxidant enzyme activities, and Malondialdehyde (MDA) as a biomarker for oxidative stress. We quantified the activity of Managanese Superoxide Dismutase (SOD-Mn), Glutathione S-transferase (GST), Catalase (CAT), Glutathione Peroxidase (GPx). As possible consequence of oxidative stress on metabolic pathways of carbon, we also quantified carbon fluxes by measuring rates of growth, respiration, dissolved organic carbon (DOC) exudation, and cellular organic carbon content and particulate phosphorus (PP). We also quantified the concentration of photosynthetic pigments chlorophyll a (Chl-a) and fucoxanthin.
    Keywords: beta-Carotene per cell; Carbon, organic, dissolved exudation, per cell; Carbon dioxide, partial pressure; carbon metabolism; Carbon per cell; Catalase activity, unit per protein mass; Chlorophyll a per cell; Diadinoxanthin per cell; Diatom; Fucoxanthin per cell; global change; Global change vulnerability of North Sea plankton and associated ecosystem services; Glutathione peroxidase activity, unit per protein mass; Glutathione S-transferase activity, unit per protein mass; Growth rate; High performance liquid chromatography (HPLC), Agilent, Waters Alliance 2695; Malondialdehyde, per wet mass; Nitrogen/Phosphorus ratio; oxidative stress; Particulate organic phosphorus production per cell; PlanktoSERV; Replicate; Respiration rate, carbon; Strain; Superoxide dismutase manganese activity, unit per protein mass; Temperature, water; TOC analyzer, Shimadzu, TOC-L CPH/CPN; Type of study; Violaxanthin per cell
    Type: Dataset
    Format: text/tab-separated-values, 630 data points
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  • 17
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    Unknown
    PANGAEA
    In:  Supplement to: Rokitta, Sebastian D; John, Uwe; Rost, Björn (2012): Ocean Acidification Affects Redox-Balance and Ion-Homeostasis in the Life-Cycle Stages of Emiliania huxleyi. PLoS ONE, 7(12), e52212, https://doi.org/10.1371/journal.pone.0052212
    Publication Date: 2024-03-15
    Description: Ocean Acidification (OA) has been shown to affect photosynthesis and calcification in the coccolithophore Emiliania huxleyi, a cosmopolitan calcifier that significantly contributes to the regulation of the biological carbon pumps. Its non-calcifying, haploid life-cycle stage was found to be relatively unaffected by OA with respect to biomass production. Deeper insights into physiological key processes and their dependence on environmental factors are lacking, but are required to understand and possibly estimate the dynamics of carbon cycling in present and future oceans. Therefore, calcifying diploid and non-calcifying haploid cells were acclimated to present and future CO2 partial pressures (pCO2; 38.5 Pa vs. 101.3 Pa CO2) under low and high light (50 vs. 300 µmol photons/m**2 /s). Comparative microarray-based transcriptome profiling was used to screen for the underlying cellular processes and allowed to follow up interpretations derived from physiological data. In the diplont, the observed increases in biomass production under OA are likely caused by stimulated production of glycoconjugates and lipids. The observed lowered calcification under OA can be attributed to impaired signal-transduction and ion-transport. The haplont utilizes distinct genes and metabolic pathways, reflecting the stage-specific usage of certain portions of the genome. With respect to functionality and energy-dependence, however, the transcriptomic OA-responses resemble those of the diplont. In both life-cycle stages, OA affects the cellular redox-state as a master regulator and thereby causes a metabolic shift from oxidative towards reductive pathways, which involves a reconstellation of carbon flux networks within and across compartments. Whereas signal transduction and ion-homeostasis appear equally OA-sensitive under both light intensities, the effects on carbon metabolism and light physiology are clearly modulated by light availability. These interactive effects can be attributed to the influence of OA and light on the redox equilibria of NAD and NADP, which function as major sensors for energization and stress. This generic mode of action of OA may therefore provoke similar cell-physiological responses in other protists.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; Bicarbonate ion, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Category; Chromista; Emiliania huxleyi; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gene abundance; Gene expression (incl. proteomics); Group; Haptophyta; Irradiance; Laboratory experiment; Laboratory strains; Light; North Atlantic; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Phytoplankton; Potentiometric; Potentiometric titration; Salinity; Single species; Species; Strain; Temperature, water
    Type: Dataset
    Format: text/tab-separated-values, 696 data points
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  • 18
    Publication Date: 2024-03-15
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; Bicarbonate ion, standard deviation; Bicarbonate uptake rate; Bicarbonate uptake rate, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, standard deviation; Carbon dioxide uptake, standard deviation; Carbon dioxide uptake rate; Carbon dioxide usage fraction; Carbon dioxide usage fraction, standard deviation; Chromista; Colorimetric; Emiliania huxleyi; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth rate; Growth rate, standard deviation; Haptophyta; Hydrogen ion concentration; Hydrogen ion concentration, standard deviation; Irradiance; Laboratory experiment; Laboratory strains; Mass spectrometry; Net photosynthesis rate; Net photosynthesis rate, standard deviation; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Phosphate; Phytoplankton; Potentiometric titration; Pressure, water; Primary production/Photosynthesis; Registration number of species; Respiration; Respiration rate, oxygen; Respiration rate, oxygen, standard deviation; Salinity; Silicate; Single species; Species; Temperature, water; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 1710 data points
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  • 19
    Publication Date: 2024-03-15
    Description: Owing to the hierarchical organization of biology, from genomes over transcriptomes and proteomes down to metabolomes, there is continuous debate about the extent to which data and interpretations derived from one level, e.g. the transcriptome, are in agreement with other levels, e.g. the metabolome. Here, we tested the effect of ocean acidification (OA; 400 vs. 1000 μatm CO2) and its modulation by light intensity (50 vs. 300 μmol photons m-2 s-1) on the biomass composition (represented by 75 key metabolites) of diploid and haploid life-cycle stages of the coccolithophore Emiliania huxleyi (RCC1216 and RCC1217) and compared these data with interpretations from previous physiological and gene expression screenings. The metabolite patterns showed minor responses to OA in both life-cycle stages. Whereas previous gene expression analyses suggested that the observed increased biomass buildup derived from lipid and carbohydrate storage, this dataset suggests that OA slightly increases overall biomass of cells, but does not significantly alter their metabolite composition. Generally, light was shown to be a more dominant driver of metabolite composition than OA, increasing the relative abundances of amino acids, mannitol and storage lipids, and shifting pigment contents to accommodate increased irradiance levels. The diploid stage was shown to contain vastly more osmolytes and mannitol than the haploid stage, which in turn had a higher relative content of amino acids, especially aromatic ones. Besides the differences between the investigated cell types and the general effects on biomass buildup, our analyses indicate that OA imposes only negligible effects on E. huxleyi's biomass composition.
    Keywords: Alkalinity, total; Alkalinity, total, standard deviation; Alkenones; Alkenones, standard deviation; Aragonite saturation state; Bicarbonate ion; Bicarbonate ion, standard deviation; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate ion, standard deviation; Carbonate system computation flag; Carbon dioxide; Category; Cell, diameter; Cell, diameter, standard deviation; Chromista; Concentration; Concentration, standard deviation; Emiliania huxleyi; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Haptophyta; Laboratory experiment; Laboratory strains; Light; Name; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Phytoplankton; Registration number of species; Salinity; Single species; Species; Temperature, water; Temperature, water, standard deviation; Treatment; Type; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 65256 data points
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  • 20
    Publication Date: 2024-03-15
    Description: Ocean acidification (OA) appears to have diverse impacts on calcareous coccolithophores, but the cellular processes underlying these responses are not well understood. Here we use stable boron and carbon isotopes, B/Ca ratios, as well as inorganic and organic carbon production rates to investigate the carbon utilization and the internal pH regulation at the site of calcification in Emiliania huxleyi, Pleurochrysis carterae and Calcidiscus leptoporus cultured over a wide pCO2 range (180 to 1000 μatm). Despite large variability, the geochemistry data indicate species-specific modes of pH control and differences in the utilization of inorganic carbon. Boron isotope data suggest that all three species generally upregulate the pH of the calcification fluid (pHCF) compared to surrounding seawater, which coincides with relatively constant growth rates and cellular ratios of inorganic to organic carbon. Furthermore, species exhibit different strategies in regulating their pHCF, i.e., two species maintain homeostasis (pHCF = ∼ 8.7), while one species shows a constant offset to the surrounding seawater (ΔpH = ∼0.6 units) over the entire tested pCO2 range. In addition to these different strategies, carbon isotope data suggests that high plasticity in the utilization of dissolved inorganic carbon might be an explanation for species-specific differences in coccolithophore responses to OA.
    Keywords: Acid-base regulation; Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; Biomass/Abundance/Elemental composition; Boron/Calcium ratio; Boron/Calcium ratio, standard deviation; Bottles or small containers/Aquaria (〈20 L); Calcidiscus leptoporus; Calcification/Dissolution; Calcifying fluid, pH; Calcifying fluid, pH, standard deviation; Calcite saturation state; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, inorganic, particulate, per cell; Carbon, organic, particulate, per cell; Carbon, organic, particulate, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chromista; Difference δ13C, particulate inorganic carbon and dissolved inorganic carbon; Difference δ13C, particulate inorganic carbon and dissolved inorganic carbon, standard deviation; Difference δ13C, particulate organic carbon and dissolved inorganic carbon; Difference δ13C, particulate organic carbon and dissolved inorganic carbon, standard deviation; Emiliania huxleyi; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Haptophyta; Identification; Iron/Calcium ratio; Iron/Calcium ratio, standard deviation; Laboratory experiment; Laboratory strains; Magnesium/Calcium ratio; Magnesium/Calcium ratio, standard deviation; Not applicable; OA-ICC; Ocean Acidification International Coordination Centre; Other studied parameter or process; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate inorganic carbon/particulate organic carbon ratio; Particulate inorganic carbon/particulate organic carbon ratio, standard deviation; Particulate inorganic carbon per cell, standard deviation; Particulate inorganic carbon production per cell; Particulate organic carbon production per cell; Pelagos; pH; pH, difference; pH, difference, standard deviation; pH, standard deviation; Phytoplankton; Pleurochrysis carterae; Potentiometric; Potentiometric titration; Primary production/Photosynthesis; Registration number of species; Salinity; Single species; Species; Temperature, water; Temperature, water, standard deviation; Type; Uniform resource locator/link to reference; δ11B; δ11B, standard deviation; δ13C, dissolved inorganic carbon; δ13C, dissolved inorganic carbon, standard deviation; δ13C, particulate inorganic carbon; δ13C, particulate inorganic carbon, standard deviation; δ13C, particulate organic carbon; δ13C, particulate organic carbon, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 1945 data points
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