Publication Date:
2024-03-20
Description:
In estuarine ecosystems, bivalves experience large pH fluctuations caused by the anthropogenic elevation of atmospheric CO2 and Cu pollution. This study investigates whether Cu toxicity increases indiscriminately in two bivalve species from different estuarine habitats as a result of elevated Cu bioaccumulation in acidified seawater. This was carried out by evaluating the effects of Cu exposure on two bivalve species (clams and scallops) for 28 d, at a series of gradient pH levels (pH 8.1, 7.8, and 7.6). The results demonstrated an increase in the Cu content in the soft tissues of clams and scallops in acidified seawater. Cu toxicity increased under acidified seawater by affecting the molecular pathways, physiological function, biochemical responses, and health status of clams and scallops. An iTRAQ-based quantitative proteomic analysis showed increased protein turnover, disturbed cytoskeleton and signal transduction pathways, apoptosis, and suppressed energy metabolism pathways in the clams and scallops under joint exposure to ocean acidification and Cu. The integrated biomarker response results suggested that scallops were more sensitive to Cu toxicity and/or ocean acidification than clams. The proteomic results suggested that the increased energy metabolism and suppressed protein turnover rates may contribute to a higher resistivity to ocean acidification in clams than scallops. Overall, this study provides molecular insights into the distinct sensitivities between two bivalve species from different habitats under exposure to ocean acidification and/or Cu. The findings emphasize the aggravating impact of ocean acidification on Cu toxicity in clams and scallops. The results show that ocean acidification and copper pollution may reduce the long-term viability of clams and scallops, and lead to the degradation of estuarine ecosystems.
Keywords:
Alkalinity, total; Alkalinity, total, standard deviation; Animalia; Aragonite saturation state; Aragonite saturation state, standard deviation; Azumapecten farreri; Behaviour; Benthic animals; Benthos; Bicarbonate ion; Bohai_Bay_OA; Calcite saturation state; Calcite saturation state, standard deviation; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Clearance rate; Clearance rate, standard deviation; Coast and continental shelf; Condition index; Condition index, standard deviation; Containers and aquaria (20-1000 L or 〈 1 m**2); Day of experiment; EXP; Experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Glutathione S-transferase activity, standard deviation; Glutathione S-transferase activity, unit per protein mass; Hexokinase activity, per protein mass; Hexokinase activity, standard deviation; Inorganic toxins; Integrated biomarker response index; Laboratory experiment; Lipid peroxidation, per protein; Lipid peroxidation, standard deviation; Mollusca; North Pacific; Number of expressed proteins; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; Other studied parameter or process; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); pH; pH, standard deviation; Potentiometric; Potentiometric titration; Pyruvate kinase activity, per protein; Pyruvate kinase activity, standard deviation; Replicates; Respiration; Respiration rate, oxygen; Respiration rate, oxygen, standard deviation; Ruditapes philippinarum; Salinity; Salinity, standard deviation; Single species; Species, unique identification; Species, unique identification (Semantic URI); Species, unique identification (URI); Superoxide dismutase activity, standard deviation; Superoxide dismutase activity, unit per protein mass; Temperate; Temperature, water; Temperature, water, standard deviation; Treatment; Type
Type:
Dataset
Format:
text/tab-separated-values, 1350 data points
