Contributors | Affiliation | Role |
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Barott, Katie | University of Pennsylvania (Penn) | Principal Investigator |
Brown, Kristen | University of Pennsylvania (Penn) | Scientist |
Speer, Kelsey | University of Pennsylvania (Penn) | Scientist |
Glass, Benjamin | University of Pennsylvania (Penn) | Student, Contact |
Schmitt, Angela | University of Pennsylvania (Penn) | Student |
Soenen, Karen | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Data generated as part of a Nematostella ocean acidfication experiment published in Glass et al., 2023. (see Related Publications). Related Zenodo datasets provides further analysis and plotting of the BCO-DMO dataset here. (see Related Dataset).
Nematostella vectensis (Stephenson, 1935) anemones were collected from a salt marsh in Brigantine, New Jersey in the fall of 2020. Females were identified by inducing spawning, and 14 individuals that released eggs were chosen as the genotype pool for this experiment. Each female was then horizontally bisected through the body column using a razor blade, resulting in two genotypically identical individuals that were divided between the two experimental groups (ambient and acidic).
A clonal male population, also originating from the United States Atlantic coast, was obtained from the laboratory of Dr. Katerina Ragkousi (Amherst College) in the spring of 2021. The male population size was increased via bisection, resulting in a total of 20 genetically identical males for the experiment (N=10 per treatment).
All anemones were kept in 12 parts per thousand (ppt) artificial seawater (ASW; Instant Ocean Reef CrystalsⓇ reef salt, Spectrum Brands, Blacksburg, VA, USA) at pH 7.7–8.1 and 18°C. The animals were maintained in a dark incubator (Boekel Scientific, Feasterville-Trevose, PA, USA) and fed approximately every other day with Artemia nauplii. The experiment was performed approximately 1–1.5 years after animal collection.
To quantify larval respiration rates, sperm and eggs were first combined by treatment in glass finger bowls in weeks 11 and 13. At 3 DPF, swimming larvae from each parental treatment were pipetted in three groups of ten (week 11) or nine groups of 15 (week 13) into wells of a 24-well plate equipped with oxygen sensor spots (Loligo Systems, Viborg, Denmark).
Wells containing larvae as well as larvae-free wells containing water from the fertilization bowl as a bacterial control (‘blanks’; N=3 in week 11; N=6 in week 13) were filled to capacity (80 μL) with 12 ppt ASW and sealed with an adhesive plate cover before being placed on a PreSens SensorDishⓇ Reader (Precision Sensing, Regensburg, Germany), which was previously calibrated according to the manufacturer's instructions.
Dissolved oxygen concentrations in each well were read every 15 s for at least 1 h, during which no wells experienced near or total oxygen depletion. The rate of oxygen consumption over time was determined from the slopes of linear regressions of oxygen levels multiplied by the volume of the wells. The average oxygen consumption rate for the blank wells was subtracted from the larval rates, which were then converted to nmol O2 minute−1 larva−1.
For respiration data, the average oxygen consumption rate for the blank wells was subtracted from the larval rates, which were then converted to nmol O2 minute−1 larva−1
* Adjusted parameter names to comply with database requirements
File |
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920260_v1_larvalrespiration.csv (Comma Separated Values (.csv), 801 bytes) MD5:a2b4c6931681b5061d35a62e430519c0 Primary data file for dataset ID 920260, version 1 |
Parameter | Description | Units |
Treatment | Experimental treatment into which anemones were placed (ambient or acidic seawater pH) | unitless |
Date | Sampling week (week 1 start = 2022-01-26) | unitless |
Respiration_Rate_nmol_O2_per_minute | Rate of oxygen consumption of anemones due to respiration, quantified as nmol oxygen consumed per minute | nmol oxygen consumed per minute |
Dataset-specific Instrument Name | PreSens SensorDishⓇ Reader |
Generic Instrument Name | PreSens OXY-10 Mini oxygen meter |
Dataset-specific Description | PreSens SensorDishⓇ Reader (Precision Sensing, Regensburg, Germany) for respiration measurements |
Generic Instrument Description | The OXY-10 mini is a precise multi-channel oxygen meter for up to 10 'in-house' sensors, simultaneously controlling and reading them. The meter is used with oxygen sensors based on a 2mm optical fibre. The meter is compatible with sensors that are type PSt3 which has a detection limit 15 ppb, 0 - 100% oxygen. |
NSF Award Abstract:
Coral reefs are incredibly diverse ecosystems that provide food, tourism revenue, and shoreline protection for coastal communities. The ability of coral reefs to continue providing these services to society is currently threatened by climate change, which has led to increasing ocean temperatures and acidity that can lead to the death of corals, the animals that build the reef framework upon which so many species depend. This project examines how temperature and acidification stress work together to influence the future health and survival of corals. The scientists are carrying out the project in Hawaii where they have found individual corals with different sensitivities to temperature stress that are living on reefs with different environmental pH conditions. This project improves understanding of how an individual coral's history influences its response to multiple stressors and helps identify the conditions that are most likely to support resilient coral communities. The project will generate extensive biological and physicochemical data that will be made freely available. Furthermore, this project supports the education and training of undergraduate and high school students and one postdoctoral researcher in marine science and coral reef ecology. Hands-on activities for high school students are being developed into a free online educational resource.
This project compares coral responses to acidification stress in populations experiencing distinct pH dynamics (high diel variability vs. low diel variability) and with distinct thermal tolerances (historically bleaching sensitive vs. tolerant) to learn about how coral responses to these two factors differ between coral species and within populations. Experiments focus on the two dominant reef builders found at these stable and variable pH reefs: Montipora capitata and Porites compressa. Individuals of each species exhibiting different thermal sensitivities (i.e., bleached vs. pigmented) were tagged during the 2015 global coral bleaching event. This system tests the hypotheses that 1) corals living on reefs with larger diel pH fluctuations have greater resilience to acidification stress, 2) coral resilience to acidification is a plastic trait that can be promoted via acclimatization, and 3) thermally sensitive corals have reduced capacity to cope with pH stress, which is exacerbated at elevated temperatures. Coral cells isolated from colonies from each environmental and bleaching history are exposed to acute pH stress and examined for their ability to recover intracellular pH in vivo using confocal microscopy, and the expression level of proteins predicted to be involved in this recovery (e.g., proton transporters) is examined via Western blot and immunolocalization. Corals from each pH history are exposed to stable and variable seawater pH in a controlled aquarium setting to determine the level of plasticity of acidification resilience and to test for pH acclimatization in this system. Finally, corals with different levels of thermal sensitivity are exposed to thermal stress and recovery, and their ability to regulate pH is examined over time. The results of these experiments help identify reef conditions that promote coral resilience to ocean acidification against the background of increasingly common thermal stress events, while advancing mechanistic understanding of coral physiology and symbiosis.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |