The photo-physiological response of a model cnidarian-dinoflagellate symbiosis to CO2-induced acidification at the cellular level, supplement to: Gibbin, Emma M; Davy, Simon K (2014): The photo-physiological response of a model cnidarian–dinoflagellate symbiosis to CO2-induced acidification at the cellular level. Journal of Experimental Marine Biology and Ecology, 457, 1-7

• Main Authors: Gibbin, Emma M, Davy, Simon K
• Format: Dataset
• Language: English
• Published: PANGAEA - Data Publisher for Earth & Environmental Science 2014
• Subjects: Aiptasia pulchella; Animalia; Benthic animals; Benthos; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria <20 L; Cnidaria; Laboratory experiment; Laboratory strains; Primary production/Photosynthesis; Respiration; Single species; South Pacific; Species; pH; pH, standard error; Incubation duration; Symbiont cell density; Symbiont cell density, standard error; Maximum photochemical quantum yield of photosystem II; Maximum photochemical quantum yield of photosystem II, standard error; Gross photosynthesis rate, oxygen; Gross photosynthesis rate, oxygen, standard error; Gross photosynthesis rate, oxygen, per cell; Respiration rate, oxygen; Respiration rate, oxygen, standard error; Gross photosynthesis/respiration ratio; Gross photosynthesis/respiration ratio, standard error; pH, intracellular; pH, intracellular, standard error; Temperature, water; Temperature, water, standard error; Salinity; Alkalinity, total; Alkalinity, total, standard error; Bicarbonate ion; Bicarbonate ion, standard error; Partial pressure of carbon dioxide water at sea surface temperature wet air; Partial pressure of carbon dioxide water at sea surface temperature wet air, standard error; Carbonate system computation flag; Carbon dioxide; Fugacity of carbon dioxide water at sea surface temperature wet air; Carbonate ion; Carbon, inorganic, dissolved; Aragonite saturation state; Calcite saturation state; Potentiometric; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. 2010; Ocean Acidification International Coordination Centre OA-ICC; Pacific; Ocean acidification
• Online Access: https://dx.doi.org/10.1594/pangaea.835120; https://doi.pangaea.de/10.1594/PANGAEA.835120

We measured the relationship between CO2-induced seawater acidification, photo-physiological performance and intracellular pH (pHi) in a model cnidarian-dinoflagellate symbiosis - the sea anemone Aiptasia sp. -under ambient (289.94 ± 12.54 µatm), intermediate (687.40 ± 25.10 µatm) and high (1459.92 ± 65.51 µatm) CO2 conditions. These treatments represented current CO2 levels, in addition to CO2 stabilisation scenarios IV and VI provided by the Intergovernmental Panel on Climate Change (IPCC). Anemones were exposed to each treatment for two months and sampled at regular intervals. At each time-point we measured a series of physiological responses: maximum dark-adapted fluorescent yield of PSII (Fv/Fm), gross photosynthetic rate, respiration rate, symbiont population density, and light-adapted pHi of both the dinoflagellate symbiont and isolated host anemone cell. We observed increases in all but one photo-physiological parameter (Pgross:R ratio). At the cellular level, increases in light-adapted symbiont pHi were observed under both intermediate and high CO2 treatments, relative to control conditions (pHi 7.35 and 7.46 versus pHi 7.25, respectively). The response of light-adapted host pHi was more complex, however, with no change observed under the intermediate CO2 treatment, but a 0.3 pH-unit increase under the high CO2 treatment (pHi 7.19 and 7.48, respectively). This difference is likely a result of a disproportionate increase in photosynthesis relative to respiration at the higher CO2 concentration. Our results suggest that, rather than causing cellular acidosis, the addition of CO2 will enhance photosynthetic performance, enabling both the symbiont and host cell to withstand predicted ocean acidification scenarios. : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Lavigne et al, 2014) 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 is 2014-08-21.