Rapid transcriptional acclimation following transgenerational exposure of oysters to ocean acidification, supplement to: Goncalves, Priscila; Anderson, Kelli; Thompson, Emma L; Melwani, Aroon; Parker, Laura M; Ross, Pauline M; Raftos, David A (2016): Rapid transcriptional acclimation following transgenerational exposure of oysters to ocean acidification. Molecular Ecology, 25(19), 4836-4849

• Main Authors: Goncalves, Priscila, Anderson, Kelli, Thompson, Emma L, Melwani, Aroon, Parker, Laura M, Raftos, David A
• Format: Dataset
• Language: English
• Published: PANGAEA - Data Publisher for Earth & Environmental Science 2016
• Subjects: Animalia; Benthic animals; Benthos; Containers and aquaria 20-1000 L or < 1 m**2; Gene expression incl. proteomics; Laboratory experiment; Laboratory strains; Mollusca; Saccostrea glomerata; Single species; South Pacific; Type; Species; Registration number of species; Uniform resource locator/link to reference; Identification; Description; Gene name; Sample ID; Real-time polymerase chain reaction counts; Real-time polymerase chain reaction counts, standard deviation; Treatment; pH; pH, standard deviation; Temperature, water; Temperature, water, standard deviation; Salinity; Salinity, standard deviation; Alkalinity, total; Alkalinity, total, standard deviation; Partial pressure of carbon dioxide water at sea surface temperature wet air; Partial pressure of carbon dioxide, standard deviation; 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; Calculated using seacarb after Nisumaa et al. 2010; Ocean Acidification International Coordination Centre OA-ICC; Kelli; Pacific; Ocean acidification
• Online Access: https://dx.doi.org/10.1594/pangaea.873048; https://doi.pangaea.de/10.1594/PANGAEA.873048

Marine organisms need to adapt in order to cope with the adverse effects of ocean acidification and warming. Transgenerational exposure to CO2 stress has been shown to enhance resilience to ocean acidification in offspring from a number of species. However, the molecular basis underlying such adaptive responses is currently unknown. Here, we compared the transcriptional profiles of two genetically distinct oyster breeding lines following transgenerational exposure to elevated CO2 in order to explore the molecular basis of acclimation or adaptation to ocean acidification in these organisms. The expression of key target genes associated with antioxidant defence, metabolism and the cytoskeleton was assessed in oysters exposed to elevated CO2 over three consecutive generations. This set of target genes was chosen specifically to test whether altered responsiveness of intracellular stress responses contributes to the differential acclimation of oyster populations to climate stressors. Transgenerational exposure to elevated CO2 resulted in changes to both basal and inducible expression of those key target genes (e.g. ecSOD, catalase and peroxiredoxin 6), particularly in oysters derived from the disease-resistant, fast-growing B2 line. Exposure to CO2 stress over consecutive generations produced opposite and less evident effects on transcription in a second population that was derived from wild type (non-selected) oysters. The analysis of key target genes revealed that the acute responses of oysters to CO2 stress appear to be affected by population-specific genetic and/or phenotypic traits, and by the CO2 conditions to which their parents had been exposed. This supports the contention that the capacity for heritable change in response to ocean acidification varies between oyster breeding lines and is mediated by parental conditioning. : 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 is 2017-02-27.