Seawater carbonate chemistry and physiology of Baltic blue mussels (Mytilus edulis), supplement to: Stapp, Laura; Thomsen, Jörn; Schade, Hanna; Bock, Christian; Melzner, Frank; Pörtner, Hans-Otto; Lannig, Gisela (2017): Intra-population variability of ocean acidification impacts on the physiology of Baltic blue mussels (Mytilus edulis): integrating tissue and organism response. Journal of Comparative Physiology B-Biochemical Systemic and Environmentalphysiology, 187(4), 529-543

• Main Authors: Stapp, Laura, Thomsen, Jörn, Schade, Hanna, Bock, Christian, Melzner, Frank, Pörtner, Hans-Otto, Lannig, Gisela
• Format: Dataset
• Language: English
• Published: PANGAEA - Data Publisher for Earth & Environmental Science 2017
• Subjects: Animalia; Baltic Sea; Behaviour; Benthic animals; Benthos; Coast and continental shelf; Containers and aquaria 20-1000 L or < 1 m**2; Laboratory experiment; Mollusca; Mytilus edulis; Respiration; Single species; Temperate; Type; Species; Registration number of species; Uniform resource locator/link to reference; Experiment duration; Treatment; Classification; Identification; Run; Clearance rate; Correlation coefficient, isotope ratio error; Shell length; Clearance rate per shell length; Oxygen consumption, per mass; Percentage; Factorial metabolic scope; Net Metabolic scope; pH, extracellular; Salinity; Salinity, standard error; Temperature, water; Temperature, water, standard error; pH; pH, standard error; Alkalinity, total; Alkalinity, total, standard error; Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, 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; Calcite saturation state; Calcite saturation state, standard error; Aragonite saturation state; Aragonite saturation state, standard error; Carbonate system computation flag; Carbon dioxide; Fugacity of carbon dioxide water at sea surface temperature wet air; Bicarbonate ion; Carbonate ion; Experiment; Calculated using seacarb after Nisumaa et al. 2010; Ocean Acidification International Coordination Centre OA-ICC; Thomsen; Ocean acidification
• Online Access: https://dx.doi.org/10.1594/pangaea.890635; https://doi.pangaea.de/10.1594/PANGAEA.890635

Increased maintenance costs at cellular, and consequently organism level, are thought to be involved in shaping the sensitivity of marine calcifiers to ocean acidification (OA). Yet, knowledge of the capacity of marine calcifiers to undergo metabolic adaptation is sparse. In Kiel Fjord, blue mussels thrive despite periodically high seawater PCO2, making this population interesting for studying metabolic adaptation under OA. Consequently, we conducted a multi-generation experiment and compared physiological responses of F1 mussels from 'tolerant' and 'sensitive' families exposed to OA for 1 year. Family classifications were based on larval survival; tolerant families settled at all PCO2 levels (700, 1120, 2400 µatm) while sensitive families did not settle at the highest PCO2 (>=99.8% mortality). We found similar filtration rates between family types at the control and intermediate PCO2 level. However, at 2400 µatm, filtration and metabolic scope of gill tissue decreased in tolerant families, indicating functional limitations at the tissue level. Routine metabolic rates (RMR) and summed tissue respiration (gill and outer mantle tissue) of tolerant families were increased at intermediate PCO2, indicating elevated cellular homeostatic costs in various tissues. By contrast, OA did not affect tissue and routine metabolism of sensitive families. However, tolerant mussels were characterised by lower RMR at control PCO2 than sensitive families, which had variable RMR. This might provide the energetic scope to cover increased energetic demands under OA, highlighting the importance of analysing intra-population variability. The mechanisms shaping such difference in RMR and scope, and thus species' adaptation potential, remain to be identified. : In order to allow full comparability with other ocean acidification data sets, the R package seacarb (Gattuso et al, 2016) 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 by seacarb is 2018-05-23.