CO2 and vitamin B12 interactions determine bioactive trace metal requirements of a subarctic Pacific diatom

• Main Authors: King, Andrew L, Sañudo-Wilhelmy, Sergio A, Leblanc, Karine, Hutchins, David A, Fu, Feixue
• Format: Dataset
• Language: English
• Published: PANGAEA - Data Publisher for Earth & Environmental Science 2011
• Subjects: Attheya sp.; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria <20 L; Chromista; Growth/Morphology; Laboratory experiment; Laboratory strains; Micro-nutrients; North Pacific; Ochrophyta; Pelagos; Phytoplankton; Primary production/Photosynthesis; Single species; Species; Treatment; Partial pressure of carbon dioxide water at sea surface temperature wet air; Growth rate; Growth rate, standard deviation; Primary production; Primary production of carbon, standard deviation; Carbon/Phosphorus ratio; Carbon/Phosphorus ratio, standard deviation; Nitrogen/Phosphorus ratio; Nitrogen/Phosphorus ratio, standard deviation; Iron/Phosphorus ratio; Iron/Phosphorus ratio, standard deviation; Cobalt/Phosphorus ratio; Cobalt/Phosphorus ratio, standard deviation; Zinc/Phosphorus ratio; Zinc/Phosphorus ratio, standard deviation; Cadmium/Phosphorus ratio; Cadmium/Phosphorus ratio, standard deviation; Net use efficiency, Iron; Net use efficiency, Iron, standard deviation; Net use efficiency, Cobalt; Net use efficiency, Cobalt, standard deviation; Net use efficiency, Zinc; Net use efficiency, Zinc, standard deviation; Net use efficiency, Cadmium; Net use efficiency, Cadmium, standard deviation; Salinity; Temperature, water; pH; pH, standard deviation; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, 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; Alkalinity, total; Aragonite saturation state; Calcite saturation state; Potentiometric; Coulometric titration; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. 2010; Ocean Acidification International Coordination Centre OA-ICC; Pacific; Ocean acidification; Subarctic
• Online Access: https://dx.doi.org/10.1594/pangaea.835475; https://doi.pangaea.de/10.1594/PANGAEA.835475

Phytoplankton growth can be limited by numerous inorganic nutrients and organic growth factors. Using the subarctic diatom Attheya sp. in culture studies, we examined how the availability of vitamin B(12) and carbon dioxide partial pressure (pCO(2)) influences growth rate, primary productivity, cellular iron (Fe), cobalt (Co), zinc (Zn) and cadmium (Cd) quotas, and the net use efficiencies (NUEs) of these bioactive trace metals (mol C fixed per mol cellular trace metal per day). Under B(12)-replete conditions, cells grown at high pCO(2) had lower Fe, Zn and Cd quotas, and used those trace metals more efficiently in comparison with cells grown at low pCO(2). At high pCO(2), B(12)-limited cells had ~50% lower specific growth and carbon fixation rates, and used Fe ~15-fold less efficiently, and Zn and Cd ~3-fold less efficiently, in comparison with B(12)-replete cells. The observed higher Fe, Zn and Cd NUE under high pCO(2)/B(12)-replete conditions are consistent with predicted downregulation of carbon-concentrating mechanisms. Co quotas of B(12)-replete cells were 5- to 14-fold higher in comparison with B(12)-limited cells, suggesting that >80% of cellular Co of B(12)-limited cells was likely from B(12). Our results demonstrate that CO(2) and vitamin B(12) interactively influence growth, carbon fixation, trace metal requirements and trace metal NUE of this diatom. This suggests the need to consider complex feedback interactions between multiple environmental factors for this biogeochemically critical group of phytoplankton in the last glacial maximum as well as the current and future changing ocean. : 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 2014-09-01.