Seawater carbonate chemistry, growth rate and light sensitivity of marine diatom Chaetoceros muelleri (strain CSIRO CS-176) during experiments, 2011, supplement to: Ihnken, Sven; Roberts, Simon; Beardall, John (2011): Differential responses of growth and photosynthesis in the marine diatom Chaetoceros muelleri to CO2 and light availability. Phycologia, 50(2), 182-193

• Main Authors: Ihnken, Sven, Roberts, Simon, Beardall, John
• Format: Dataset
• Language: English
• Published: PANGAEA - Data Publisher for Earth & Environmental Science 2011
• Subjects: Bottles or small containers/Aquaria <20 L; Chaetoceros muelleri; Chromista; Growth/Morphology; Laboratory experiment; Laboratory strains; Light; Ochrophyta; Pelagos; Phytoplankton; Primary production/Photosynthesis; Single species; South Pacific; Experimental treatment; Identification; Radiation, photosynthetically active; Salinity; Temperature, water; pH; Carbon, inorganic, dissolved; Alkalinity, total; Growth rate; Growth rate, standard deviation; Light saturation point; Light saturation point, standard deviation; Maximal electron transport rate, relative; Maximal electron transport rate, relative, standard deviation; Light capturing capacity; Light capturing capacity, standard devitation; Carbonate system computation flag; Carbon dioxide; Partial pressure of carbon dioxide water at sea surface temperature wet air; Fugacity of carbon dioxide water at sea surface temperature wet air; Bicarbonate ion; Carbonate ion; Aragonite saturation state; Calcite saturation state; pH meter Metrohm electrodes; Calculated; Calculated using CO2SYS; Spectrofluorometry; Calculated using seacarb after Nisumaa et al. 2010; European network of excellence for Ocean Ecosystems Analysis EUR-OCEANS; European Project on Ocean Acidification EPOCA; Ocean Acidification International Coordination Centre OA-ICC; Pacific; Sven; Ocean acidification
• Online Access: https://dx.doi.org/10.1594/pangaea.769749; https://doi.pangaea.de/10.1594/PANGAEA.769749

This study investigated the impact of photon flux and elevated CO2 concentrations on growth and photosynthetic electron transport on the marine diatom Chaetoceros muelleri and looked for evidence for the presence of a CO2-concentrating mechanism (CCM). pH drift experiments clearly showed that C. muelleri has the capacity to use bicarbonate to acquire inorganic carbon through one or multiple CCMs. The final pH achieved in unbuffered cultures was not changed by light intensity, even under very low photon flux, implying a low energy demand of bicarbonate use via a CCM. In short-term pH drift experiments, only treatment with the carbonic anhydrase inhibitor ethoxyzolamide (EZ) slowed down the rise in pH considerably. EZ was also the only inhibitor that altered the final pH attained, although marginally. In growth experiments, CO2 availability was manipulated by changing the pH in closed flasks at a fixed dissolved inorganic carbon (DIC) concentration. Low-light-treated samples showed lower growth rates in elevated CO2conditions. No CO2 effect was recorded under high light exposure. The maximal photosynthetic capacity, however, increased with CO2 concentration in saturating, but not in subsaturating, light intensities. Growth and photosynthetic capacity therefore responded in opposite ways to increasing CO2 availability. The capacity to photoacclimate to high and low photon flux appeared not to be affected by CO2treatments. However, photoacclimation was restricted to growth photon fluxes between 30 and 300 µmol photons m-2 s-1. The light saturation points for photosynthetic electron transport and for growth coincided at 100 µmol photons m-2 s-1. Below 100 µmol photons m-2 s-1 the light saturation point for photosynthesis was higher than the growth photon flux (i.e. photosynthesis was not light saturated under growth conditions), whereas at higher growth photon flux, photosynthesis was saturated below growth light levels. : 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).