Interactive effects of light, nitrogen source, and carbon dioxide on energy metabolism in the diatom Thalassiosira pseudonana, supplement to: Shi, Dalin; Li, Weiying; Hopkinson, Brian M; Hong, Haizheng; Li, Dongmei; Kao, Shuh-Ji; Lin, Wenfang (2015): Interactive effects of light, nitrogen source, and carbon dioxide on energy metabolism in the diatom Thalassiosira pseudonana. Limnology and Oceanography, 60(5), 1805-1822

• Main Authors: Shi, Dalin, Li, Weiying, Hopkinson, Brian M, Hong, Haizheng, Li, Dongmei, Kao, Shuh-Ji, Lin, Wenfang
• Format: Dataset
• Language: English
• Published: PANGAEA - Data Publisher for Earth & Environmental Science 2015
• Subjects: Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria <20 L; Chromista; Gene expression incl. proteomics; Growth/Morphology; Laboratory experiment; Laboratory strains; Light; Macro-nutrients; North Pacific; Ochrophyta; Other metabolic rates; Pelagos; Phytoplankton; Primary production/Photosynthesis; Single species; Thalassiosira pseudonana; Type; Species; Registration number of species; Uniform resource locator/link to reference; Partial pressure of carbon dioxide water at sea surface temperature wet air; Treatment; Growth rate; Growth rate, standard deviation; Carbon, organic, particulate, per cell; Particulate organic carbon content per cell, standard deviation; Particulate organic nitrogen per cell; Particulate organic nitrogen per cell, standard deviation; Carbon/Nitrogen ratio; Carbon/Nitrogen ratio, standard deviation; Carbon uptake rate; Carbon uptake rate, standard deviation; Nitrogen uptake rate; Nitrogen uptake rate, standard deviation; Nitrate reductase activity; Nitrate reductase activity, standard deviation; mRNA gene expression, relative; mRNA gene expression, relative, standard deviation; Protein per cell; Protein, standard deviation; Fatty acid content; Fatty acids, standard deviation; Beta-1,3 Gluan, cellular; Beta-1,3 Gluan, cellular, standard deviation; mRNA copy numbers ratio; mRNA copy numbers ratio, standard deviation; Glycolic acid per cell; Glycolic acid, standard deviation; PsbA expression per cell; PsbA expression, standard deviation; Maximum photochemical quantum yield of photosystem II; Maximum photochemical quantum yield of photosystem II, standard deviation; Photochemical quenching; Photochemical quenching, standard deviation; Non photochemical quenching; Non photochemical quenching, standard deviation; Maximal electron transport rate, relative; Maximal electron transport rate, relative, standard deviation; Electron transport rate, relative; Electron transport rate, relative, standard deviation; Salinity; Temperature, water; Temperature, water, standard deviation; Irradiance; pH; pH, standard deviation; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Alkalinity, total; Alkalinity, total, standard deviation; Partial pressure of carbon dioxide, standard deviation; Carbonate system computation flag; Carbon dioxide; Fugacity of carbon dioxide water at sea surface temperature wet air; Bicarbonate ion; Carbonate ion; Aragonite saturation state; Calcite saturation state; Spectrophotometric; 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.860217; https://doi.pangaea.de/10.1594/PANGAEA.860217

Due to the ongoing effects of climate change, phytoplankton are likely to experience enhanced irradiance, more reduced nitrogen, and increased water acidity in the future ocean. Here, we used Thalassiosira pseudonana as a model organism to examine how phytoplankton adjust energy production and expenditure to cope with these multiple, interrelated environmental factors. Following acclimation to a matrix of irradiance, nitrogen source, and CO2 levels, the diatom's energy production and expenditures were quantified and incorporated into an energetic budget to predict how photosynthesis was affected by growth conditions. Increased light intensity and a shift from inline image to inline image led to increased energy generation, through higher rates of light capture at high light and greater investment in photosynthetic proteins when grown on inline image. Secondary energetic expenditures were adjusted modestly at different culture conditions, except that inline image utilization was systematically reduced by increasing pCO2. The subsequent changes in element stoichiometry, biochemical composition, and release of dissolved organic compounds may have important implications for marine biogeochemical cycles. The predicted effects of changing environmental conditions on photosynthesis, made using an energetic budget, were in good agreement with observations at low light, when energy is clearly limiting, but the energetic budget over-predicts the response to inline image at high light, which might be due to relief of energetic limitations and/or increased percentage of inactive photosystem II at high light. Taken together, our study demonstrates that energetic budgets offered significant insight into the response of phytoplankton energy metabolism to the changing environment and did a reasonable job predicting them. : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2015) 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 2016-05-05.