Targeted metabolomics data from coral and sea anemone larvae exposed to normoxic or hypoxic conditions in lab and field experiments performed in USA and Bermuda during 2023-2024

Website: https://www.bco-dmo.org/dataset/964174
Data Type: experimental
Version: 1
Version Date: 2025-06-10

Project
» CAREER: Helping or hindering? Determining the influence of repetitive marine heatwaves on acclimatization of reef-building corals across biological scales (Coral acclimatization)
ContributorsAffiliationRole
Barott, KatieUniversity of Pennsylvania (Penn)Principal Investigator
Glass, BenjaminUniversity of Pennsylvania (Penn)Student
Mickle, AudreyWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
These data arose from larvae of the sea anemone Nematostella vectensis and corals Galaxea fascicularis and Porites astreoides exposed to normoxic (i.e., control) or hypoxic conditions. Larvae were sampled in groups of 20-30 and these samples were processed for targeted metabolomics at the University of Pennsylvania Metabolomics Core. The dataset contains the species from which metabolomics data originate, experimental treatment (normoxia or hypoxia), experiment metadata, and abundance of each metabolite in each sample.


Coverage

Location: Lab experiments were performed in Pennsylvania, USA and field experiments at the Bermuda Institue of Ocean Sciences.
Temporal Extent: 2023-06-01 - 2024-11-01

Methods & Sampling

Adult culture and spawning

Adult Nematostella vectensis sea anemones were collected from a salt marsh in Brigantine, New Jersey in the fall of 2020, and spawning was induced. Larvae (n = 1 cohort with mixed parentage) were then cultured to the planula stage (3 d post-fertilization) for experimentation. An aquarium population of adult Galaxea fascicularis colonies (n = 9 females, 10 males) spawned during August 2023 at Carnegie Science (Baltimore, MD, USA), yielding a cohort of planulae (n = 1 cohort with mixed parentage) that were used in experiments within 48 h. Adult Porites astreoides colones (n = 20) were collected in Bermuda (32°22′13″N, 64°44′27″W) during July 2023. Brooded planulae (n = 4 cohorts) were collected and maintained in culture for ~ 48 h.

At the time of use in experimentation, larvae from all 3 species were in the planula stage and would become competent to settle within 72–96 h (Hand and Uhlinger 1992; Goodbody-Gringley et al. 2018; Wei et al. 2023). Artificial seawater was used for culturing and experimentation for N. vectensis and G. fascicularis, while flow-through, natural seawater facilities at the Bermuda Institute for Ocean Science were used for P. astreoides.

Dissolved oxygen treatments and larval sampling

Stage-matched, swimming planulae of Nematostella vectensis, Galaxea fascicularis, and Porites astreoides (N = 1,200–2,400 larvae species-1) were divided into six replicate groups (three normoxia/control and three hypoxia) and exposed to 6 h of normoxia (dissolved oxygen (DO) = 6.8–8.69 mg L-1) or severe hypoxia (DO = 1.58–1.8 mg L-1; seawater deoxygenated using N2 gas) inside sealed glass jars (500 mL) overnight from 21:00 h to 03:00 h the following day. The jars were placed at the ambient culture temperature for each species (N. vectensis: 18°C; G. fascicularis: 27°C; P. astreoides: 28°C). At the end of the treatment period, the jars were uncapped and groups of 20–30 larvae (N = 60–90 larvae treatment-1 species-1) were transferred to 1.5 mL tubes without seawater for storage at -80°C until processing for targeted metabolomics as described below.

Targeted metabolics via liquid chromatography-mass spectrometry

Groups of frozen larvae were thawed on ice and homogenized in 160 µL of 50:50 0.3% formic acid/acetonitrile in tough microorganism tubes (Revvity, Waltham, MA, USA) at 4°C in a Precellys homogenizer (Bertin Technologies, France). Aliquots of homogenates (20 µL) were extracted with organic solvents for individual targeted liquid chromatography-mass spectrometry (LC-MS) metabolomics assays (acylcarnitines, amino acids, organic acids, and nucleotides). A 10 µL aliquot of each homogenate was also used for protein concentration determination (to normalize metabolite concentrations) via the Bradford method using a bovine albumin serum standard curve. Quantitation of metabolites was achieved using multiple reaction monitoring of calibration solutions and study samples on an Agilent 1290 Infinity UHPLC/6495 triple quadrupole mass spectrometer at the University of Pennsylvania Metabolomics Core (RRID:SCR_022381). Raw data were processed using Mass Hunter quantitative analysis software. Calibration curves (R2 = 0.99 or greater) were fitted with a linear or a quadratic curve with a 1/X or 1/X2 weighting.


Data Processing Description

Raw data were processed using Mass Hunter quantitative analysis software. Calibration curves (R2 = 0.99 or greater) were fitted with a linear or a quadratic curve with a 1/X or 1/X2 weighting.


BCO-DMO Processing Description

- Imported "Metabolomics_data.csv" into the BCO-DMO system
- Renamed fields to comply with system and style requirements (moving number from first character)
- Exported file as "964174_v1_targeted_metabolomics"

Scientific names in the data were checked using World Register of Marine Species (WoRMS) Taxon Match. All scientific names in the data are valid and accepted names as of 2025-06-10.


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Data Files

File
964174_v1_targeted_metabolomics.csv
(Comma Separated Values (.csv), 26.60 KB)
MD5:69b707afefe4556b9c22abc30e192d8c
Primary data file for dataset ID 964174, version 1

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Related Publications

Glass, B. H., & Barott, K. L. (2025). Hypoxia disrupts metabolism in coral and sea anemone larvae. Journal of Experimental Biology, 228(12). https://doi.org/10.1242/jeb.250372
Results
Goodbody-Gringley, G., Wong, K. H., Becker, D. M., Glennon, K., & de Putron, S. J. (2018). Reproductive ecology and early life history traits of the brooding coral, Porites astreoides, from shallow to mesophotic zones. Coral Reefs, 37(2), 483–494. https://doi.org/10.1007/s00338-018-1673-2
Methods
Hand, C., & Uhlinger, K. R. (1992). The Culture, Sexual and Asexual Reproduction, and Growth of the Sea Anemone Nematostella vectensis. The Biological Bulletin, 182(2), 169–176. https://doi.org/10.2307/1542110
Methods
Wei, F., Cui, M., Huang, W., Wang, Y., Liu, X., Zeng, X., Su, H., & Yu, K. (2023). Ex situ reproduction and recruitment of scleractinian coral Galaxea fascicularis. Marine Biology, 170(3). https://doi.org/10.1007/s00227-023-04175-7
Methods

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Related Datasets

Software
Glass, Benjamin; Barott, Katie (2025). Data and code from: Hypoxia disrupts metabolism in coral and sea anemone larvae [Dataset]. Dryad. https://doi.org/10.5061/dryad.pvmcvdnwh
Different Version
Glass, Benjamin; Barott, Katie (2025). Data and code from: Hypoxia disrupts metabolism in coral and sea anemone larvae [Dataset]. Dryad. https://doi.org/10.5061/dryad.pvmcvdnwh

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Parameters

ParameterDescriptionUnits
Species

Species from which metabolomics data originate

units
Treatment

Experimental treatment (normoxia or hypoxia)

units
Cohort

Spawning cohort from which larvae originate

units
Group

Replicate group within the experimental treatment (1-3)

units
Life_stage

Life stage; always "larva"

units
Hours_post_treatment

Time point at which larvae were collected for metabolomics; here, always = 0

hours
ADP

Abundance of each metabolite in each sample

nmol mg protein-1
AMP

Abundance of each metabolite in each sample

nmol mg protein-1
ATP

Abundance of each metabolite in each sample

nmol mg protein-1
cAMP

Abundance of each metabolite in each sample

nmol mg protein-1
CMP

Abundance of each metabolite in each sample

nmol mg protein-1
CTP

Abundance of each metabolite in each sample

nmol mg protein-1
GDP

Abundance of each metabolite in each sample

nmol mg protein-1
GMP

Abundance of each metabolite in each sample

nmol mg protein-1
GTP

Abundance of each metabolite in each sample

nmol mg protein-1
ITP

Abundance of each metabolite in each sample

nmol mg protein-1
NAD

Abundance of each metabolite in each sample

nmol mg protein-1
NADP

Abundance of each metabolite in each sample

nmol mg protein-1
NAM

Abundance of each metabolite in each sample

nmol mg protein-1
NMN

Abundance of each metabolite in each sample

nmol mg protein-1
TTP

Abundance of each metabolite in each sample

nmol mg protein-1
UMP

Abundance of each metabolite in each sample

nmol mg protein-1
Methylhistidine_1

Abundance of each metabolite in each sample

nmol mg protein-1
Methylhistidine_3

Abundance of each metabolite in each sample

nmol mg protein-1
Alanine

Abundance of each metabolite in each sample

nmol mg protein-1
Arginine

Abundance of each metabolite in each sample

nmol mg protein-1
Asparagine

Abundance of each metabolite in each sample

nmol mg protein-1
Aspartate

Abundance of each metabolite in each sample

nmol mg protein-1
Citrulline

Abundance of each metabolite in each sample

nmol mg protein-1
Dimethylarginine_ADMA

Abundance of each metabolite in each sample

nmol mg protein-1
Dimethylarginine_SDMA

Abundance of each metabolite in each sample

nmol mg protein-1
Glutamate

Abundance of each metabolite in each sample

nmol mg protein-1
Glutamine

Abundance of each metabolite in each sample

nmol mg protein-1
Glycine

Abundance of each metabolite in each sample

nmol mg protein-1
Histidine

Abundance of each metabolite in each sample

nmol mg protein-1
Homocitrulline

Abundance of each metabolite in each sample

nmol mg protein-1
Isoleucine

Abundance of each metabolite in each sample

nmol mg protein-1
Leucine

Abundance of each metabolite in each sample

nmol mg protein-1
Lysine

Abundance of each metabolite in each sample

nmol mg protein-1
Methionine

Abundance of each metabolite in each sample

nmol mg protein-1
Ornithine

Abundance of each metabolite in each sample

nmol mg protein-1
Phenylalanine

Abundance of each metabolite in each sample

nmol mg protein-1
Proline

Abundance of each metabolite in each sample

nmol mg protein-1
Serine

Abundance of each metabolite in each sample

nmol mg protein-1
Threonine

Abundance of each metabolite in each sample

nmol mg protein-1
Tryptophan

Abundance of each metabolite in each sample

nmol mg protein-1
Tyrosine

Abundance of each metabolite in each sample

nmol mg protein-1
Valine

Abundance of each metabolite in each sample

nmol mg protein-1
C02

Abundance of each metabolite in each sample

nmol mg protein-1
C03

Abundance of each metabolite in each sample

nmol mg protein-1
C03_DC

Abundance of each metabolite in each sample

nmol mg protein-1
C04_Butyryl

Abundance of each metabolite in each sample

nmol mg protein-1
C04_Isobutyryl

Abundance of each metabolite in each sample

nmol mg protein-1
C04_1

Abundance of each metabolite in each sample

nmol mg protein-1
C04_DC_MeMal

Abundance of each metabolite in each sample

nmol mg protein-1
C04_DC_Succinyl

Abundance of each metabolite in each sample

nmol mg protein-1
C04_OH_Butyryl

Abundance of each metabolite in each sample

nmol mg protein-1
C04_OH_Isobutyryl

Abundance of each metabolite in each sample

nmol mg protein-1
C05_2_Methylbutyryl

Abundance of each metabolite in each sample

nmol mg protein-1
C05_Isovaleryl

Abundance of each metabolite in each sample

nmol mg protein-1
C05_1

Abundance of each metabolite in each sample

nmol mg protein-1
C05_DC

Abundance of each metabolite in each sample

nmol mg protein-1
C05_OH

Abundance of each metabolite in each sample

nmol mg protein-1
C06

Abundance of each metabolite in each sample

nmol mg protein-1
C06_OH

Abundance of each metabolite in each sample

nmol mg protein-1
C08

Abundance of each metabolite in each sample

nmol mg protein-1
C08_1_OH

Abundance of each metabolite in each sample

nmol mg protein-1
C08_OH

Abundance of each metabolite in each sample

nmol mg protein-1
C10

Abundance of each metabolite in each sample

nmol mg protein-1
C10_OH

Abundance of each metabolite in each sample

nmol mg protein-1
C12

Abundance of each metabolite in each sample

nmol mg protein-1
C14

Abundance of each metabolite in each sample

nmol mg protein-1
C14_1

Abundance of each metabolite in each sample

nmol mg protein-1
C14_OH

Abundance of each metabolite in each sample

nmol mg protein-1
C16

Abundance of each metabolite in each sample

nmol mg protein-1
C16_1

Abundance of each metabolite in each sample

nmol mg protein-1
C16_OH

Abundance of each metabolite in each sample

nmol mg protein-1
C18

Abundance of each metabolite in each sample

nmol mg protein-1
C18_1

Abundance of each metabolite in each sample

nmol mg protein-1
HBA_3

Abundance of each metabolite in each sample

nmol mg protein-1
alpha_Ketoglutaric_Acid

Abundance of each metabolite in each sample

nmol mg protein-1
Citrate

Abundance of each metabolite in each sample

nmol mg protein-1
Fumarate

Abundance of each metabolite in each sample

nmol mg protein-1
Lactate

Abundance of each metabolite in each sample

nmol mg protein-1
Malate

Abundance of each metabolite in each sample

nmol mg protein-1
Pyruvate

Abundance of each metabolite in each sample

nmol mg protein-1
Succinate

Abundance of each metabolite in each sample

nmol mg protein-1
AphiaID

AphiaID of species from which metabolomics data originate

unitless
LSID

LSID of species from which metabolomics data originate

unitless


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Instruments

Dataset-specific Instrument Name
homogenized
Generic Instrument Name
Homogenizer
Dataset-specific Description
Groups of frozen larvae were thawed on ice and homogenized in 160 µL of 50:50 0.3% formic acid/acetonitrile in tough microorganism tubes (Revvity, Waltham, MA, USA) at 4°C in a Precellys homogenizer (Bertin Technologies, France). 
Generic Instrument Description
A homogenizer is a piece of laboratory equipment used for the homogenization of various types of material, such as tissue, plant, food, soil, and many others.

Dataset-specific Instrument Name
6495 triple quadrupole mass spectrometer
Generic Instrument Name
Mass Spectrometer
Dataset-specific Description
 Quantitation of metabolites was achieved using multiple reaction monitoring of calibration solutions and study samples on an Agilent 1290 Infinity UHPLC/6495 triple quadrupole mass spectrometer at the University of Pennsylvania Metabolomics Core (RRID:SCR_022381). Raw data were processed using Mass Hunter quantitative analysis software. 
Generic Instrument Description
General term for instruments used to measure the mass-to-charge ratio of ions; generally used to find the composition of a sample by generating a mass spectrum representing the masses of sample components.

Dataset-specific Instrument Name
Agilent 1290 Infinity UHPLC
Generic Instrument Name
Ultra high-performance liquid chromatography
Dataset-specific Description
Quantitation of metabolites was achieved using multiple reaction monitoring of calibration solutions and study samples on an Agilent 1290 Infinity UHPLC/6495 triple quadrupole mass spectrometer at the University of Pennsylvania Metabolomics Core (RRID:SCR_022381). Raw data were processed using Mass Hunter quantitative analysis software. 
Generic Instrument Description
Ultra high-performance liquid chromatography: Column chromatography where the mobile phase is a liquid, the stationary phase consists of very small (< 2 microm) particles and the inlet pressure is relatively high.


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Project Information

CAREER: Helping or hindering? Determining the influence of repetitive marine heatwaves on acclimatization of reef-building corals across biological scales (Coral acclimatization)

Coverage: Kaneohe Bay, Oahu, Hawaii


NSF Award Abstract:

Ocean warming driven by climate change has led to staggering losses of coral on reefs worldwide and is now among the most pressing of stressors threatening the survival of coral reef ecosystems today. As marine heatwaves associated with ocean warming become increasingly frequent, it is urgent to understand if and how reef-building corals will be able to respond to these repeat stress events and thus survive in a rapidly warming ocean. To address this problem, this project is investigating how corals on the reef respond to recurring marine heatwaves in order to identify if repeat exposure to heat stress promotes coral tolerance of higher temperatures via acclimatization or instead leads to the accumulation of stress and thus reduced performance and survival following future stress. The results of this study are critical for understanding how the current generation of corals will respond to increasingly warmer oceans, and whether acclimatization will buy enough individuals sufficient time for adaptation to occur and promote coral persistence into the future. In addition, this project is training students from secondary schools through advanced postdoctoral researchers in global change biology and ecology. Specifically, the investigators are increasing access to research opportunities for undergraduate students by developing a new hands-on course-based undergraduate research experience (CURE) in Global Ocean Change Biology that will reach hundreds of students per year. Outreach efforts include creation of hands-on coral reefs and climate change activities for incoming first-generation, low-income undergraduate students and a professional development program to train middle and high-school teachers to deploy these climate change activities in their classrooms in the Philadelphia Public School District.

Acclimatization following exposure to sub-lethal heat stress may be an important protective mechanism for corals to survive a changing climate. However, the role of environmental memory of marine heatwaves in driving acclimatization or, conversely, stress accumulation and sensitization of reef-building corals is not well understood. This study is addressing this question using a combination of in situ and mesocosm experiments to assess the cellular, organismal, and ecological consequences of repeat heatwaves on corals with contrasting bleaching histories. Specifically, the researchers are monitoring adjacent conspecific pairs of bleaching-susceptible and bleaching-resistant individuals of two reef-building coral species in Hawaii, Montipora capitata and Porites compressa. These corals have been monitored for over 7 years through multiple bleaching events and are being used to test the hypothesis that environmental memory of marine heatwaves differentially alters coral thermal performance due to phenotypic variation in acclimatization ability within and between species. This work is identifying whether the bleaching thresholds of corals with different bleaching histories varies through time, and the consequences of these phenotypes on coral calcification, survival, and population size structure are being assessed using a combination of benthic surveys, photogrammetry, and in situ growth measurements. The influence of environmental memory of heatwaves on coral physiology is being assessed using thermal performance curves to determine how the thermal optima of respiration, photosynthesis, calcification, and host intracellular pH change (or not) over time (e.g. ambient vs. heatwave years) and if that response differs between corals with contrasting bleaching phenotypes. Finally, the contribution of algal endosymbionts to acclimatization is being evaluated by exposing corals to a range of increasing temperatures in experimental mesocosms, potentially uncovering differences in the degree of acclimatization or sensitization for host vs. symbiont traits in corals with high fidelity (P. compressa) vs. cosmopolitan (M. capitata) symbiont associations. By understanding of the phenotypic diversity in thermal performance across biological scales, this research improves predictions of coral persistence in the face of the ongoing climate crisis.

This project is supported by the Biological Oceanography, Integrative Ecological Physiology, and Ocean Education Programs.

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.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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