Contributors | Affiliation | Role |
---|---|---|
Eagle, Robert | University of California-Los Angeles (UCLA) | Principal Investigator |
Lotterhos, Katie | Northeastern University | Co-Principal Investigator |
Ries, Justin B. | Northeastern University | Co-Principal Investigator |
Alvarez Caraveo, Blanca | University of California-Los Angeles (UCLA) | Scientist |
Downey-Wall, Alan | Northeastern University | Scientist |
Guillermic, Maxence | University of California-Los Angeles (UCLA) | Scientist |
Sutton, Jill | Universite de Brest | Student |
Gerlach, Dana Stuart | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
This dataset of magnesium isotopic compositions of seawater, extrapallial fluid, and Crassostrea virginica shell material is part of a larger ocean acidification study examining the geochemistry of carbonates with changing environmental conditions.
Ocean acidification laboratory experiments were conducted at [____place___] during [____time range___] to examine the effects of ambient (500 ppm CO2), moderate (900 ppm CO2), and high (2800 ppm CO2) ocean acidification conditions on the geochemistry of seawater, extrapallial fluid (EPF) and shells of the Eastern oyster, Crassostrea virginica.
[More details are needed here on experimental design, set-up, instruments, etc.]
Here we present magnesium isotope data for three biomineralization reservoirs--seawater, EPF, and Crassostrea virginica shells.
[More details are needed]
Measured on an isotope ratio mass spectrometer [provide make, model, and lab]
The averages and average standard deviations were found by taking the square root of the squared magnesium isotope values:
SQRT ((CV3 delta-26Mg)^2 + CV6 delta-26Mg)^2 + CV7 delta-26Mg)^2 + CV8 delta-26Mg)^2)
Parameter | Description | Units |
Sample _Label | Sample identification | unitless |
pCO2 | Partial pressure of carbon dioxide simulating ocean acidification conditions | parts per million (ppm) |
Sample_type | Identifies which biomineralization reservoir the sample represents | unitless |
N | number???, of what?? | unitless |
delta_26Mg | Magnesium isotope ratio | per mil |
SD | Standard deviation of delta 26Mg isotope measurement | per mil |
Dataset-specific Instrument Name | ???? |
Generic Instrument Name | Isotope-ratio Mass Spectrometer |
Dataset-specific Description | Need details from submitter |
Generic Instrument Description | The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer). |
NSF Award Abstract:
Marine ecosystems worldwide are threatened by ocean acidification, a process caused by the unprecedented rate at which carbon dioxide is increasing in the atmosphere. Since ocean change is predicted to be rapid, extreme, and widespread, marine species may face an "adapt-or-die" scenario. However, modifications to the DNA sequence may be induced in response to a stress like ocean acidification and then inherited. Such "epigenetic" modifications may hold the key to population viability under global climate change, but they have been understudied. The aim of this research is to characterize the role of DNA methylation, a heritable epigenetic system, in the response of Eastern oysters (Crassostrea virginica) to ocean acidification. The intellectual merit lies in the integrative approach, which will characterize the role of DNA methylation in the intergenerational response of oysters to ocean acidification. These interdisciplinary data, spanning from molecular to organismal levels, will provide insight into mechanisms that underlie the capacity of marine invertebrates to respond to ocean acidification and lay the foundation for future transgenerational studies. Ocean acidification currently threatens marine species worldwide and has already caused significant losses in aquaculture, especially in Crassostrea species. This research has broader impacts for breeding, aquaculture, and the economy. Under the investigators' "Epigenetics to Ocean" (E2O) training program, the investigators will build STEM talent in bioinformatics and biogeochemistry, expose girls in low-income school districts to careers in genomics, and advance the field through open science and reproducibility.
This research will specifically test if intermittent exposure to low pH induces a methylation response with downstream beneficial effects for biomineralization. These methylation states could be inherited and confer a fitness advantage to larvae that possess them. Phase 1 of the project will use an exposure experiment to determine the degree to which DNA methylation is altered and regulates the response to OA. Data from this experiment will be used to test the hypotheses that (i) DNA methylation, induced in the tissue of shell formation (i.e., mantle tissue), is correlated with changes in transcription and regulation of pallial fluid pH (calcifying fluid pH, measured by microelectrode), and (ii) that methylation changes induced in the mantle tissue are also induced in the germline --indicating that such changes are potentially heritable. Phase 2 of the project will use a pair-mated cross experiment to test the hypothesis that parental exposure to OA alters larval traits (calcification rate, shell structure, and polymorph mineralogy). Larvae will be generated from parents exposed to OA or control seawater, and then raised under control or OA conditions. Results will be used to (i) characterize inheritance of induced methylation states, (ii) estimate the variance in larval traits explained by genotype, non-genetic maternal/paternal effects, adult OA exposure, larval OA exposure, and parental methylome, and (iii) test the hypothesis that adult exposure alters the heritability (a quantity that predicts evolutionary response) of larval traits. Since the effects of epigenetic phenomena on estimates of heritability are highly debated, the results would advance understanding of this important issue. Because the investigators could discover that DNA methylation is a mechanism for heritable plastic responses to OA, knowledge of this mechanism would significantly improve and potentially transform predictive models for how organisms respond to global change.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |