The deep-sea ecosystem engineer Geodia barretti (Porifera, Demospongiae) maintains basic physiological functions under simulated future ocean pH and temperature conditions
Wurz, E.; Ulvatn, T.; Kooistra, T.; Strauss, F.; Rapp, H. T.; de Goeij, J. M.; Osinga, R.
Show abstract
Global ocean warming and acidification will alter the physicochemical conditions in the deep North-Atlantic Ocean. Here, extensive sponge grounds, often dominated by the demosponge species Geodia barretti, provide three-dimensional structure, habitat and significantly contribute to benthic-pelagic coupling and nutrient cycling processes in the deep sea. It is unknown if G. barretti remains physiologically functional under the future physicochemical properties of an Anthropocene ocean. In this study, individuals of G. barretti collected from 300 m water depth in the Barents Sea, were exposed to four treatments resembling future ocean conditions (no treatment, 4 {degrees}C increase in seawater temperature, decrease of seawater pH by 0.3, and a combination of the high temperature, low pH). Over the course of 39 weeks, oxygen consumption, dissolved inorganic nutrient fluxes, and bacterioplankton clearance rates were measured as indicators of metabolic activity. We found that all indicators within each sponge individual and per treatment were highly variable over time and no effect of manipulated seawater treatments on these parameters could be demonstrated. Oxygen consumption rates in all groups closely followed a seasonal pattern, potentially caused by (a)biotic cues in the seawater flowing through the experimental aquaria. While similar metabolic rates across all treatments suggest that G. barretti physiologically coped with simulated future ocean conditions, observed tissue necrosis in experimental animals might indicate that the response of the complex, high microbial G. barretti sponge (i.e., sponge host and microbial symbionts) to future ocean conditions may not be reflected in basic physiological processes.
Matching journals
The top 8 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Calcification and trophic responses of Mesophotic reefs to carbonate chemistry variability 95%
- Investigating Bacterial Contributions to Thermal Tolerance in Three Intertidal Marine Snail Tegula species 94%
- Taxon-specific differences in C and N cycling and metabolic activity of intertidal organisms: Part A - Short-term processes 94%
Similar papers in this journal
- Freshwater sponge hosts and their green algae symbionts: a tractable model to understand intracellular symbiosis 96%
- Characterizing transcriptomic responses to sediment stress across location and morphology in reef-building corals 95%
- eDNA metabarcoding shows highly diverse but distinct shallow, mid-water, and deep-water eukaryotic communities within a marine biodiversity hotspot 95%
Similar papers in this journal
- Repeat exposure to hypercapnic seawater modifies performance and oxidative status in a tolerant burrowing clam 94%
- Electrosensory and metabolic responses of weakly electric fish to changing water conductivity 94%
- Coral species-specific loss and physiological legacy effects are elicited by extended marine heatwave 94%
Similar papers in this journal
- Shifts in marine invertebrate bacterial assemblages associated with tissue necrosis during a heatwave 96%
- The influence of thermal extremes on coral reef fish behaviour in the Persian Gulf 95%
- Microbiome structure of ecologically important bioeroding sponges (family Clionaidae): The role of host phylogeny and environmental plasticity. 95%
Similar papers in this journal
- Adding insult to injury: Effects of chronic oxybenzone exposure and elevated temperature on two reef-building corals 95%
- First evidence of in vitro cytotoxic effects of marine microlitter on Merluccius merluccius and Mullus barbatus, two Mediterranean commercial fish species 95%
- Common types of microdebris affect the physiology of reef-building corals 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.