Light-modulated responses of growth and photosynthetic performance to ocean acidification in the model diatom Phaeodactylum tricornutum, supplement to: Li, Yahe; Xu, Juntian; Gao, Kunshan (2014): Light-Modulated Responses of Growth and Photosynthetic Performance to Ocean Acidification in the Model Diatom Phaeodactylum tricornutum. PLoS ONE, 9(5), e96173

• Main Authors: Li, Yahe, Xu, Juntian, Gao, Kunshan
• Format: Dataset
• Language: English
• Published: PANGAEA - Data Publisher for Earth & Environmental Science 2014
• Subjects: Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria <20 L; Chromista; Growth/Morphology; Laboratory experiment; Laboratory strains; Light; North Pacific; Ochrophyta; Pelagos; Phaeodactylum tricornutum; Phytoplankton; Primary production/Photosynthesis; Single species; Species; Treatment; Irradiance; Growth rate; Growth rate, standard deviation; Chlorophyll a per cell; Chlorophyll a, standard deviation; Chlorophyll c per cell; Chlorophyll c, standard deviation; Carotenoids per cell; Carotenoids, standard deviation; Time in days; Effective photochemical quantum yield; Effective photochemical quantum yield, standard deviation; Non photochemical quenching; Non photochemical quenching, standard deviation; Carbon, inorganic, dissolved, reciprocal of photosynthetic affinity value; Carbon, inorganic, dissolved, reciprocal of photosynthetic affinity value, standard deviation; Carbon dioxide, reciprocal of photosynthetic affinity value; Carbon dioxide, reciprocal of photosynthetic affinity value, standard deviation; Time in minutes; Effective quantum yield; Effective quantum yield, standard deviation; Temperature, water; Salinity; 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; Alkalinity, total; Alkalinity, total, standard deviation; Carbonate system computation flag; Partial pressure of carbon dioxide water at sea surface temperature wet air; Fugacity of carbon dioxide water at sea surface temperature wet air; 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.837678; https://doi.pangaea.de/10.1594/PANGAEA.837678

Ocean acidification (OA) due to atmospheric CO2 rise is expected to influence marine primary productivity. In order to investigate the interactive effects of OA and light changes on diatoms, we grew Phaeodactylum tricornutum, under ambient (390 ppmv; LC) and elevated CO2 (1000 ppmv; HC) conditions for 80 generations, and measured its physiological performance under different light levels (60 µmol/m**2/s, LL; 200 µmol/m**2/s, ML; 460 µmol/m**2/s, HL) for another 25 generations. The specific growth rate of the HC-grown cells was higher (about 12-18%) than that of the LC-grown ones, with the highest under the ML level. With increasing light levels, the effective photochemical yield of PSII (Fv'/Fm') decreased, but was enhanced by the elevated CO2, especially under the HL level. The cells acclimated to the HC condition showed a higher recovery rate of their photochemical yield of PSII compared to the LC-grown cells. For the HC-grown cells, dissolved inorganic carbon or CO2 levels for half saturation of photosynthesis (K1/2 DIC or K1/2 CO2) increased by 11, 55 and 32%, under the LL, ML and HL levels, reflecting a light dependent down-regulation of carbon concentrating mechanisms (CCMs). The linkage between higher level of the CCMs down-regulation and higher growth rate at ML under OA supports the theory that the saved energy from CCMs down-regulation adds on to enhance the growth of the diatom. : 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 2014-10-31.