Contributors | Affiliation | Role |
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Lotterhos, Katie | Northeastern University | Principal Investigator |
Ries, Justin B. | Northeastern University | Co-Principal Investigator, Contact |
McNally, Elise | Northeastern University | Student |
Heyl, Taylor | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
This dataset represents Crassostrea virginica shell samples analyzed for trace and minor elements in adult Eastern oyster ocean acidification exposure experiments at the Ries Lab at the Northeastern University Marine Science Center on samples from Plum Island Sound in 2017.
The collection and culturing of C. virginica specimens are detailed in Downey-Wall, A.M., L.P. Cameron, B.M. Ford, E.M. McNally, Y.R. Venkataraman, S.B. Roberts, J.B. Ries, and K.E. Lotterhos. 2020. Ocean acidification induces subtle shifts in gene expression and DNA methylation in the mantle tissue of the Eastern oyster (Crassostrea virginica). Frontiers in Marine Science doi: 10.3389/fmars.2020.566419.
Shells were cleaned thoroughly in 90 percent ethanol (Fisher Reagent Alcohol CAS: 64-17-5). Cleaned shells were dried at room temperature for 48 hours and stored in sealed plastic bags. The inner (lamellar) layer of oyster shells was sampled for elemental analysis. Shells were sampled by gently moving a Shiyang-III dental drill outfitted with a round bit across the low-Mg calcite surfaces of the interior shell. The powdered shell was placed in 15-milliliter (mL) polypropylene centrifuge tubes leached in 5 percent ultra-pure nitric acid solution (Fisher TraceMetal Grade Nitric Acid UN2031).
Elemental analysis
Shell samples were analyzed for trace and minor elements by inductively coupled plasma mass spectrometry (ICPMS). Shell samples were also acidified with ultra-pure nitric acid for analysis. Shell samples were analyzed for a suite of 57 elements (including Ca) by ActLabs, Ontario, Canada using the ActLabs ICPMS Ultratrace 4 method.
Concentration data were received from ActLabs:
https://actlabs.com/geochemistry/exploration-geochemistry/4-acid-near-total-digestion/
Concentration data were negative-corrected (i.e., for intercept correction of the calibration) by adding the lowest negative value along with a de minimis constant (0.000001) to each sample for each element that exhibited negative concentration values.
File |
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shell_concentrationdata.csv (Comma Separated Values (.csv), 46.11 KB) MD5:4d2c4777b507ddf4f060f11dc7518915 Primary data file for dataset 888902, version 1. |
Parameter | Description | Units |
RunID | Unique id for analysis run | unitless |
SampleID | Unique identifier for the sample | unitless |
OystID | Unique identifier for the bivalve used when sample ID was just labelled as shell | unitless |
Species | sample shell type; M = mantle R = repair AM = above mud UM = under mud | unitless |
SampleType | species that the shell sample was taken from | unitless |
Ag_ppm | measured concentration of silver | parts per million |
Al_perc | measured concentration of aluminum | percent |
As_ppm | measured concentration of arsenic | parts per million |
Au_ppb | measured concentration of gold | parts per billion |
B_ppm | measured concentration of boron | parts per million |
Ba_ppm | measured concentration of barium | parts per million |
Be_ppm | measured concentration of beryllium | parts per million |
Bi_ppm | measured concentration of bismuth | parts per million |
Ca_perc | measured concentration of calcium | percent |
Cd_ppm | measured concentration of cadmium | parts per million |
Ce_ppm | measured concentration of Cerium | parts per million |
Co_ppm | measured concentration of cobalt | parts per million |
Cr_ppm | measured concentration of chromium | parts per million |
Cs_ppm | measured concentration of cesium | parts per million |
Cu_ppm | measured concentration of copper | parts per million |
Dy_ppm | measured concentration of dysprosium | parts per million |
Er_ppm | measured concentration of erbium | parts per million |
Eu_ppm | measured concentration of europium | parts per million |
Fe_perc | measured concentration of iron | percent |
Ga_ppm | measured concentration of gallium | parts per million |
Gd_ppm | measured concentration of gadolinium | parts per million |
Ge_ppm | measured concentration of germanium | parts per million |
Hf_ppm | measured concentration of hafnium | parts per million |
Hg_ppb | measured concentration of mercury | parts per billion |
Ho_ppm | measured concentration of holmium | parts per million |
In_ppm | measured concentration of indium | parts per million |
K_perc | measured concentration of potassium | percent |
La_ppm | measured concentration of lanthanum | parts per million |
Li_ppm | measured concentration of lithium | parts per million |
Lu_ppm | measured concentration of lutetium | parts per million |
Mg_perc | measured concentration of magnesium | percent |
Mn_ppm | measured concentration of manganese | parts per million |
Mo_ppm | measured concentration of molybdenum | parts per million |
Na_perc | measured concentration of sodium | percent |
Nb_ppm | measured concentration of niobium | parts per million |
Nd_ppm | measured concentration of neodymium | parts per million |
Ni_ppm | measured concentration of nickel | parts per million |
P_perc | measured concentration of phosphorus | percent |
Pb_ppm | measured concentration of lead | parts per million |
Pr_ppm | measured concentration of praseodymium | parts per million |
Rb_ppm | measured concentration of rubidium | parts per million |
Re_ppm | measured concentration of rhenium | parts per million |
S_perc | measured concentration of sulfur | percent |
Sb_ppm | measured concentration of antimony | parts per million |
Sc_ppm | measured concentration of scandium | parts per million |
Se_ppm | measured concentration of selenium | parts per million |
Sm_ppm | measured concentration of samarium | parts per million |
Sn_ppm | measured concentration of tin | parts per million |
Sr_ppm | measured concentration of strontium | parts per million |
Ta_ppm | measured concentration of tantalum | parts per million |
Tb_ppm | measured concentration of terbium | parts per million |
Te_ppm | measured concentration of tellurium | parts per million |
Th_ppm | measured concentration of thorium | parts per million |
Ti_perc | measured concentration of titanium | percent |
Tl_ppm | measured concentration of thallium | parts per million |
Tm_ppm | measured concentration of thulium | parts per million |
U_ppm | measured concentration of uranium | parts per million |
V_ppm | measured concentration of vanadium | parts per million |
W_ppm | measured concentration of tungsten | parts per million |
Y_ppm | measured concentration of yttrium | parts per million |
Yb_ppm | measured concentration of ytterbium | parts per million |
Zn_ppm | measured concentration of zinc | parts per million |
Zr_ppm | measured concentration of zirconium | parts per million |
Dataset-specific Instrument Name | Shiyang-III dental drill |
Generic Instrument Name | Drill |
Generic Instrument Description | A drill is a tool used for making round holes or driving fasteners. There are many types of drills: some are powered manually, and others use electricity (electric drill) or compressed air as the motive power. Drills with a percussive action (hammer drills) are mostly used in hard materials such as masonry (brick, concrete, and stone) or rock. Some types of hand-held drills are also used to drive screws and other fasteners. |
Dataset-specific Instrument Name | |
Generic Instrument Name | Inductively Coupled Plasma Mass Spectrometer |
Generic Instrument Description | An ICP Mass Spec is an instrument that passes nebulized samples into an inductively-coupled gas plasma (8-10000 K) where they are atomized and ionized. Ions of specific mass-to-charge ratios are quantified in a quadrupole mass spectrometer. |
Dataset-specific Instrument Name | Mettler Toledo scale |
Generic Instrument Name | scale |
Dataset-specific Description | Mettler Toledo scale (precision = 0.001g) |
Generic Instrument Description | An instrument used to measure weight or mass. |
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) |