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Rokitta, Sebastian D; John, Uwe; Rost, Bjoern (2012): Ocean Acidification Affects Redox-Balance and Ion-Homeostasis in the Life-Cycle Stages of Emiliania huxleyi. PANGAEA, https://doi.org/10.1594/PANGAEA.833669, Supplement to: Rokitta, SD et al. (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

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Abstract:
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.
Further details:
Lavigne, Héloise; Gattuso, Jean-Pierre (2011): seacarb: seawater carbonate chemistry with R. R package version 2.4. https://cran.r-project.org/package=seacarb
Comment:
In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Lavigne and Gattuso, 2011) 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).
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethodComment
1SpeciesSpeciesRokitta, Sebastian D
2StrainStrainRokitta, Sebastian D
3CategoryCatRokitta, Sebastian D
4GroupGroupRokitta, Sebastian D
5Gene abundanceGA#Rokitta, Sebastian Dup-regulation
6Gene abundanceGA#Rokitta, Sebastian Ddown-regulation
7IrradianceEµmol/m2/sRokitta, Sebastian D
8Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)pCO2water_SST_wetPaRokitta, Sebastian D
9Partial pressure of carbon dioxide, standard deviationpCO2 std dev±Rokitta, Sebastian D
10SalinitySalRokitta, Sebastian D
11Temperature, waterTemp°CRokitta, Sebastian D
12Carbon, inorganic, dissolvedDICµmol/kgRokitta, Sebastian D
13Carbon, inorganic, dissolved, standard deviationDIC std dev±Rokitta, Sebastian D
14Alkalinity, totalATµmol/kgRokitta, Sebastian DPotentiometric titration
15Alkalinity, total, standard deviationAT std dev±Rokitta, Sebastian DPotentiometric titration
16pHpHRokitta, Sebastian DPotentiometricNBS scale
17pH, standard deviationpH std dev±Rokitta, Sebastian DPotentiometricNBS scale
18Bicarbonate ion[HCO3]-µmol/kgRokitta, Sebastian DCalculated using CO2SYS
19Bicarbonate ion, standard deviation[HCO3]- std dev±Rokitta, Sebastian DCalculated using CO2SYS
20Carbonate ion[CO3]2-µmol/kgRokitta, Sebastian DCalculated using CO2SYS
21Carbonate ion, standard deviation[CO3]2- std dev±Rokitta, Sebastian DCalculated using CO2SYS
22Calcite saturation stateOmega CalRokitta, Sebastian DCalculated using CO2SYS
23Calcite saturation state, standard deviationOmega Cal std dev±Rokitta, Sebastian DCalculated using CO2SYS
24Carbonate system computation flagCSC flagNisumaa, Anne-MarinCalculated using seacarb after Nisumaa et al. (2010)
25pHpHNisumaa, Anne-MarinCalculated using seacarb after Nisumaa et al. (2010)Total scale; Calculated from means
26Carbon dioxideCO2µmol/kgNisumaa, Anne-MarinCalculated using seacarb after Nisumaa et al. (2010)Calculated from means
27Partial pressure of carbon dioxide (water) at sea surface temperature (wet air)pCO2water_SST_wetµatmNisumaa, Anne-MarinCalculated using seacarb after Nisumaa et al. (2010)Calculated from means
28Fugacity of carbon dioxide (water) at sea surface temperature (wet air)fCO2water_SST_wetµatmNisumaa, Anne-MarinCalculated using seacarb after Nisumaa et al. (2010)Calculated from means
29Bicarbonate ion[HCO3]-µmol/kgNisumaa, Anne-MarinCalculated using seacarb after Nisumaa et al. (2010)Calculated from means
30Carbonate ion[CO3]2-µmol/kgNisumaa, Anne-MarinCalculated using seacarb after Nisumaa et al. (2010)Calculated from means
31Carbon, inorganic, dissolvedDICµmol/kgNisumaa, Anne-MarinCalculated using seacarb after Nisumaa et al. (2010)Calculated from means
32Aragonite saturation stateOmega ArgNisumaa, Anne-MarinCalculated using seacarb after Nisumaa et al. (2010)Calculated from means
33Calcite saturation stateOmega CalNisumaa, Anne-MarinCalculated using seacarb after Nisumaa et al. (2010)Calculated from means
Size:
696 data points

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