Effects of increased CO2 on fish gill and plasma proteome, supplement to: Bresolin de Souza, Karine; Jutfelt, Fredrik; Kling, Peter; Förlin, Lars; Sturve, Joachim; Hofmann, Gretchen E (2014): Effects of Increased CO2 on Fish Gill and Plasma Proteome. PLoS ONE, 9(7), e102901

• Main Authors: Bresolin de Souza, Karine, Jutfelt, Fredrik, Kling, Peter, Förlin, Lars, Sturve, Joachim, Hofmann, Gretchen E
• Format: Dataset
• Language: English
• Published: PANGAEA - Data Publisher for Earth & Environmental Science 2014
• Subjects: Acanthopagrus schlegelii; Acipenser baerii; Animalia; Anoplopoma fimbria; Chordata; Coast and continental shelf; Containers and aquaria 20-1000 L or < 1 m**2; Coturnix coturnix; Danio rerio; Dicentrarchus labrax; Epinephelus bruneus; Gene expression incl. proteomics; Gillichthys mirabilis; Hippoglossus hippoglossus; Laboratory experiment; Larimichthys crocea; Nekton; North Atlantic; Oncorhynchus mykiss; Oreochromis mossambicus; Paralichthys olivaceus; Pelagos; Platichthys flesus; Pseudopleuronectes americanus; Salmo salar; Salmo trutta; Single species; Sphoeroides nephelus; Sphyraena idiastes; Takifugu rubripes; Temperate; Temperature; Species; Table; Identification; Protein spots, total; Protein spots, total, standard deviation; Comment; Protein name; Peptide; Accession number; Score; Treatment; Salinity; Salinity, standard error; Temperature, water; Alkalinity, total; pH; Partial pressure of carbon dioxide water at sea surface temperature wet air; Carbonate system computation flag; Carbon dioxide; Fugacity of carbon dioxide water at sea surface temperature wet air; Bicarbonate ion; Carbonate ion; Carbon, inorganic, dissolved; Aragonite saturation state; Calcite saturation state; Potentiometric titration; Potentiometric; Calculated; Calculated using seacarb after Nisumaa et al. 2010; Ocean Acidification International Coordination Centre OA-ICC; Hofmann; Ocean acidification
• Online Access: https://dx.doi.org/10.1594/pangaea.838003; https://doi.pangaea.de/10.1594/PANGAEA.838003

Ocean acidification and warming are both primarily caused by increased levels of atmospheric CO2, and marine organisms are exposed to these two stressors simultaneously. Although the effects of temperature on fish have been investigated over the last century, the long-term effects of moderate CO2 exposure and the combination of both stressors are almost entirely unknown. A proteomics approach was used to assess the adverse physiological and biochemical changes that may occur from the exposure to these two environmental stressors. We analysed gills and blood plasma of Atlantic halibut (Hippoglossus hippoglossus) exposed to temperatures of 12°C (control) and 18°C (impaired growth) in combination with control (400 µatm) or high-CO2 water (1000 µatm) for 14 weeks. The proteomic analysis was performed using two-dimensional gel electrophoresis (2DE) followed by Nanoflow LC-MS/MS using a LTQ-Orbitrap. The high-CO2 treatment induced the up-regulation of immune system-related proteins, as indicated by the up-regulation of the plasma proteins complement component C3 and fibrinogen beta chain precursor in both temperature treatments. Changes in gill proteome in the high-CO2 (18°C) group were mostly related to increased energy metabolism proteins (ATP synthase, malate dehydrogenase, malate dehydrogenase thermostable, and fructose-1,6-bisphosphate aldolase), possibly coupled to a higher energy demand. Gills from fish exposed to high-CO2 at both temperature treatments showed changes in proteins associated with increased cellular turnover and apoptosis signalling (annexin 5, eukaryotic translation elongation factor 1 gamma, receptor for protein kinase C, and putative ribosomal protein S27). This study indicates that moderate CO2-driven acidification, alone and combined with high temperature, can elicit biochemical changes that may affect fish health. : 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 2014-11-06.