Seawater carbonate chemistry during experiments with Mytilus edulis, 2008, supplement to: Bibby, Ruth; Widdicombe, Stephen; Parry, Helen E; Spicer, John I; Pipe, R (2008): Effects of ocean acidification on the immune response of the blue mussel Mytilus edulis. Aquatic Biology, 2(1), 97-74

The effects of medium term (32 d) hypercapnia on the immune response of Mytilus edulis were investigated in mussels exposed to acidified (using CO2) sea water (pH 7.7, 7.5 or 6.7; control: pH 7.8). Levels of phagocytosis increased significantly during the exposure period, suggesting an immune respon...

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Bibliographic Details
Main Authors: Bibby, Ruth, Widdicombe, Stephen, Parry, Helen E, Spicer, John I, Pipe, R
Format: Dataset
Language:English
Published: PANGAEA - Data Publisher for Earth & Environmental Science 2008
Subjects:
pH
Online Access:https://dx.doi.org/10.1594/pangaea.718100
https://doi.pangaea.de/10.1594/PANGAEA.718100
Description
Summary:The effects of medium term (32 d) hypercapnia on the immune response of Mytilus edulis were investigated in mussels exposed to acidified (using CO2) sea water (pH 7.7, 7.5 or 6.7; control: pH 7.8). Levels of phagocytosis increased significantly during the exposure period, suggesting an immune response induced by the experimental set-up. However, this induced stress response was suppressed when mussels were exposed to acidified sea water. Acidified sea water did not have any significant effects on other immuno-surveillance parameters measured (superoxide anion production, total and differential cell counts). These results suggest that ocean acidification may impact the physiological condition and functionality of the haemocytes and could have a significant effect on cellular signalling pathways, particularly those pathways that rely on specific concentrations of calcium, and so may be disrupted by calcium carbonate shell dissolution. : 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).