| Contributors | Affiliation | Role |
|---|---|---|
| Strader, Marie | Auburn University | Principal Investigator |
| Hofmann, Gretchen E. | University of California-Santa Barbara (UCSB) | Co-Principal Investigator |
| Fox, Michael D. | King Abdullah University of Science and Technology (KAUST) | Scientist |
| Love, Connor | University of California-Santa Barbara (UCSB) | Scientist |
| McMahon, Kelton W. | University of Rhode Island (URI) | Scientist |
| Radice, Veronica | Old Dominion University (ODU) | Scientist |
| Speare, Kelly E. | University of California-Santa Barbara (UCSB) | Scientist |
| Valentine, David L. | University of California-Santa Barbara (UCSB) | Scientist |
| Mickle, Audrey | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
In May 2019, during the height of the bleaching event, SCUBA divers observed bleached Acropora hyacinthus (urn:lsid:marinespecies.org:taxname:207044) coral colonies in both the shallow fore reef (~5 m depth) and deep fore reef (~14 m depth) habitats at a north shore site in Mo’orea (fore reef: 17.4731°S, 149.8176°W). Bleaching was variable across habitats. On the shallow fore reef some A. hyacinthus colonies were bleached and others were not bleached. On the deep fore reef all A. hyacinthus colonies were bleached. Despite extensive searching at the site, it was not possible to locate any unbleached colonies in May 2019. Colonies from the shallow and deep fore reef habitats were tagged for future sampling.
In August 2019, after the period of accumulated thermal stress subsided, the previously tagged colonies on the deep and shallow fore reef were relocated. By August, all the previously tagged colonies on the deep fore reef (~14 m depth) had died. Despite this high mortality, August surveys on the deep fore reef identified previously untagged colonies that were visibly recovering from bleaching (Leinbach et al. 2021), and therefore are assumed to have bleached. These colonies were photographed with an Olympus Tough TG-5 camera with the underwater macro mode on and the auto fill in flash setting, tagged, and sampled. Corals were photographed with a scale bar that included black and white markings and a Coral Watch Coral Health Chart. Due to the high prevalence of bleaching at this site in May (100% of colonies had some level of bleaching, including 53.2% that were severely bleached and 46.8% that were partially bleached), it is maintained that these previously untagged colonies were bleached during the marine heatwave (MHW) (Leinbach et al. 2021). In October 2019, 30 and 28 previously tagged colonies at ~5 and 14 m, respectively, were again located, photographed, and sampled via SCUBA for physiological metrics and/or reproductive histology (Leinbach et al. 2021). Water column particulate organic matter (POM) was also sampled by collecting 4 L of seawater at ~2 m depth and filtering through pre-combusted 0.7 µm Whatman glass fiber filters using vacuum filtration. Samples were collected at the fore reef site where corals were sampled.
For all corals sampled, bleaching severity was determined visually from photographs with a color standard. Each colony was assigned a score from 1 to 5 according to their bleaching severity (Siebeck et al. 2006), with 1 indicating stark white bleaching and 5 indicating no visible bleaching (not observed for any colonies in this study, for more details on color-scoring see Leinbach et al., 2021). Using the same photographs, planar colony area was measured by tracing the outline of each colony and calculating the planar surface area using ImageJ (Schneider et al. 2012). Coral fragments of approximately 2 cm were collected from each colony and frozen at - 40°C. Using filtered seawater (FSW), coral fragments were airbrushed to remove coral tissue and endosymbiont algal cells (blastate) from the calcium carbonate skeleton. The blastate was then homogenized and centrifuged (2,000 x g for 2 min) to separate coral host tissue from endosymbiont cells. After supernatant (coral host) removal, the endosymbiont pellet was then resuspended in 2 mL of FSW and centrifuged an additional time to separate out any remaining coral host tissue. The supernatant from this centrifugation was combined with the coral host fraction. The coral host fraction was centrifuged an additional time to pellet any endosymbiont cells remaining in solution. The endosymbiont fraction was cleaned (resuspended in FSW and centrifuged) six times to ensure the removal of animal tissue from the pellet. Following separation of coral host tissue and endosymbiont cells, each fraction (and POM samples) was filtered through a 0.7 µm Whatman glass fiber filter. Samples were rinsed with 1mL of 1N HCl to remove any residual calcium carbonate from the coral skeleton, then rinsed once more with 1mL of deionized water. Filters were placed in a drying oven overnight set at 60 °C and kept dry until transportation to the University of California - Santa Barbara where they were immediately placed into a -80 °C freezer until analysis. Of the colonies sampled in Leinbach et al. (2021), we sampled 27 of these for fatty acid analysis and 20 for isotope analysis.
Coral host, symbiont and POM samples were extracted using a modified Folch method (Folch et al. 1957) following Taipale et al. (2013) and Radice et al. (2019). Nonadecenoic acid (C19:1) was used as an internal standard. Fatty acids were analyzed with a Gas Chromatograph equipped with a Flame Ionization Detector (GC-FID, Hewlett Packard HP5890) at University of California Santa Barbara using a Supelco Omegawax 250 Column (30 m x 0.25 mm ID x 0.25 um film thickness) with a 1 uL injection and a 30 second splitless hold time. Fatty acids were identified by a mixture of techniques, including: comparison of retention times and peak area to a certified reference material (Supelco 37 component FAME mix, FAME-37), spiking experiments with known analytes, and comparison with previously identified peaks from our in-house tissue reference material of Red Sea Stylophora pistillata (urn:lsid:marinespecies.org:taxname:206982) from Love (2023). Mass of fatty acid per sample was calculated by dividing peak area by the daily calibrated response factor for that compound in a standard mix (Supelco FAME-37). If the fatty acid of interest was not in the FAME-37 mix, a response factor was generated by the next closest fatty acid with the same carbon length tail and the same or similar number of double bonds since response factor follows a linear trend, decreasing systematically throughout the chromatographic run time as carbon number and degree of unsaturation increases. Analytical precision for relative abundance data (calculated from FAME-37) was ± 0.04%. Note, samples were oven dried as an unavoidable step due to covid-19 related sampling challenges. As such, the proportions of FA measured here should not be compared across studies. However, since all samples were of the same species and received the same handling, treatment, and storage, making relative difference comparisons among samples and tissue types in this study is valid (Ingemansson et al. 1995; Nazemroaya et al. 2011; Rudy et al. 2016).
Coral host, symbiont, and POM samples were analyzed for δ13C and δ15N values using a Thermo Finnigan Delta-Plus Advantage isotope mass spectrometer coupled with a Costech EAS elemental analyzer in the University of California - Santa Barbara Marine Science Institute Analytical Laboratory. Instrument calibration and linearity were conducted using acetanilide reference standards. Instrument precision, determined using replicate analyses of L-glutamic acid USGS40 (δ13CVPDB-LSVEC = –26.39 ± 0.04‰, δ15NAIR = –4.52 ± 0.06‰), was ± 0.12‰ for δ13C and ± 0.06‰ for δ15N. Isotope ratios are expressed in standard δ notation, expressed as per mil (‰) relative to Pee Dee Belemnite (PDB) for carbon and atmospheric Air (N2) for nitrogen.
- Imported "Strader_Love_Moorea_data.csv" into the BCO-DMO system
- Removed all periods from parameter names and replaced them with underscores
- Removed units from parameter names in keeping with BCO-DMO procedure
- Exported file as "964610_v1_acropora_hyacinthus_isotope.csv"
Scientific names in the metadata were checked using World Register of Marine Species (WoRMS) Taxon Match. All scientific names in the data are valid and accepted names as of 2025-07-09.
Acropora hyacinthus (urn:lsid:marinespecies.org:taxname:207044)
Stylophora pistillata (urn:lsid:marinespecies.org:taxname:206982)
| File |
|---|
964610_v1_acropora_hyacinthus_isotope.csv (Comma Separated Values (.csv), 28.62 KB) MD5:c71c5113033c011c9ba41d04a15062d5 Primary data file for dataset ID 964610, version 1 |
| Parameter | Description | Units |
| coral | Coral colony or sample ID number | unitless |
| fraction | Animal host (host) or photosynthetic dinoflagellate endosymbiont fraction (symbiont) or particulate organic matter collected from water column (pom) | unitless |
| bleach_response | Resistant to bleaching (resistant) or recovered from bleaching (recovered) or bleached (bleached) | unitless |
| location | Sampling location: reef crest (crest) or deep fore reef (pile mooring) | unitless |
| lat | Latitude of sampling site | decimal degrees |
| long | Longitude of sampling site | decimal degrees |
| dist_from_crest | Northern distance in meters from reef crest (negative numbers indicate towards open ocean) | meters |
| C12_0 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C14_0 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C14_1 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C16_0 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C16_1n9_ | mass individual/ mass total x 100 | Percent of total fatty acids |
| C16_1n7 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C16_2 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C18_0 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C18_1n9 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C18_1n7 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C18_2n6 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C18_3n6 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C18_3n3 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C18_4n3 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C20_0 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C20_1n9 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C20_2 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C20_3n6 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C20_4n6 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C20_4n3 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C20_5n3 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C22_0 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C22_1n9 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C23_0 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C22_4n6 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C22_5n3 | mass individual/ mass total x 100 | Percent of total fatty acids |
| C22_6n3 | mass individual/ mass total x 100 | Percent of total fatty acids |
| tot_FA_per_filter | Total fatty acid on filter | micrograms (µg) |
| d15N | Isotope ratio of nitrogen (15N/14N), units are permill relative to atmospheric nitrogen. | permill relative to atmospheric nitrogen |
| d13C | Isotope ratio of carbon (13C/12C), units are permill relative to VPDB. | permill relative to VPDB |
| depth | Depth of coral | meters |
| tagged_month | Month when coral colony was tagged | unitless |
| May_status | Bleaching status in May 2019 | unitless |
| August_status | Bleaching status in August 2019 | unitless |
| October_status | Bleaching status in October 2019 | unitless |
| colony_area | Above colony planar area calculated from photographs | centimeters squared (cm^2) |
| C_N_ratio | Ratio of carbon to nitrogen | unitless |
| Dataset-specific Instrument Name | Olympus Tough TG-5 |
| Generic Instrument Name | Camera |
| Dataset-specific Description | These colonies were photographed with an Olympus Tough TG-5 camera with the underwater macro mode on and the auto fill in flash setting, tagged, and sampled. Corals were photographed with a scale bar that included black and white markings and a Coral Watch Coral Health Chart. |
| Generic Instrument Description | All types of photographic equipment including stills, video, film and digital systems. |
| Dataset-specific Instrument Name | Centrifuge |
| Generic Instrument Name | Centrifuge |
| Dataset-specific Description | The blastate was then homogenized and centrifuged (2,000 x g for 2 min) to separate coral host tissue from endosymbiont cells. After supernatant (coral host) removal, the endosymbiont pellet was then resuspended in 2 mL of FSW and centrifuged an additional time to separate out any remaining coral host tissue. The supernatant from this centrifugation was combined with the coral host fraction. The coral host fraction was centrifuged an additional time to pellet any endosymbiont cells remaining in solution. |
| Generic Instrument Description | A machine with a rapidly rotating container that applies centrifugal force to its contents, typically to separate fluids of different densities (e.g., cream from milk) or liquids from solids. |
| Dataset-specific Instrument Name | drying oven |
| Generic Instrument Name | Drying Oven |
| Dataset-specific Description | Filters were placed in a drying oven overnight set at 60 °C and kept dry until transportation to the University of California - Santa Barbara where they were immediately placed into a -80 °C freezer until analysis. |
| Generic Instrument Description | a heated chamber for drying |
| Dataset-specific Instrument Name | Costech EAS elemental analyzer |
| Generic Instrument Name | Elemental Analyzer |
| Dataset-specific Description | Coral host, symbiont, and POM samples were analyzed for δ13C and δ15N values using a Thermo Finnigan Delta-Plus Advantage isotope mass spectrometer coupled with a Costech EAS elemental analyzer in the University of California - Santa Barbara Marine Science Institute Analytical Laboratory. |
| Generic Instrument Description | Instruments that quantify carbon, nitrogen and sometimes other elements by combusting the sample at very high temperature and assaying the resulting gaseous oxides. Usually used for samples including organic material. |
| Dataset-specific Instrument Name | GC-FID, Hewlett Packard HP5890 |
| Generic Instrument Name | Gas Chromatograph |
| Dataset-specific Description | Fatty acids were analyzed with a Gas Chromatograph equipped with a Flame Ionization Detector (GC-FID, Hewlett Packard HP5890) at University of California Santa Barbara using a Supelco Omegawax 250 Column (30 m x 0.25 mm ID x 0.25 um film thickness) with a 1 uL injection and a 30 second splitless hold time. |
| Generic Instrument Description | Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC) |
| Dataset-specific Instrument Name | Homogenizer |
| Generic Instrument Name | Homogenizer |
| Dataset-specific Description | The blastate was then homogenized and centrifuged (2,000 x g for 2 min) to separate coral host tissue from endosymbiont cells. |
| 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 | Thermo Finnigan Delta-Plus Advantage isotope mass spectrometer |
| Generic Instrument Name | Isotope-ratio Mass Spectrometer |
| Dataset-specific Description | Coral host, symbiont, and POM samples were analyzed for δ13C and δ15N values using a Thermo Finnigan Delta-Plus Advantage isotope mass spectrometer coupled with a Costech EAS elemental analyzer in the University of California - Santa Barbara Marine Science Institute Analytical Laboratory. |
| 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). |
| Dataset-specific Instrument Name | SCUBA |
| Generic Instrument Name | Self-Contained Underwater Breathing Apparatus |
| Dataset-specific Description | In May 2019, during the height of the bleaching event, SCUBA divers observed bleached Acropora hyacinthus coral colonies in both the shallow fore reef (~5 m depth) and deep fore reef (~14 m depth) habitats at a north shore site in Mo’orea (fore reef: 17.4731°S, 149.8176°W). |
| Generic Instrument Description | The self-contained underwater breathing apparatus or scuba diving system is the result of technological developments and innovations that began almost 300 years ago. Scuba diving is the most extensively used system for breathing underwater by recreational divers throughout the world and in various forms is also widely used to perform underwater work for military, scientific, and commercial purposes.
Reference: https://oceanexplorer.noaa.gov/technology/technical/technical.html |
NSF Award Abstract:
Coral reefs provide strong economic and ecological benefits, yet they are declining worldwide largely due to extreme heat events that cause bleaching, a disturbance of the essential relationship between the algae that live inside the coral and the coral. There is currently a mass coral bleaching event in Moorea, French Polynesia where up to 90% of corals show some level of bleaching in response to heat stress. This location is ideal to study adaptation and acclimation thanks to the facilities and sampling of the Moorea Coral Reef (MCR) Long Term Ecological Research (LTER) site. This project explores how strong natural disaster events shape genetic differences in populations through time. By using historical environmental data it may be possible to identify modifications of the genome linked to past bleaching events. This knowledge will help establish models to predict reef recovery after disturbance and will be useful for choosing colonies with the best chance of survival in restoration efforts. This project also investigates how the bleaching history of the parents impacts characteristics of the next generations, such as reproductive output, larval, survival and heat tolerance. This project will provide training and involvement in research for three senior PhD students and at least five undergraduates. Coral restoration efforts rely on understanding how corals might adapt to environmental stress.
The mass coral bleaching event currently occurring in French Polynesia (April 2019) offers an opportunity to test hypotheses regarding mechanisms of rapid response to large scale disturbances. This project investigates potential epigenetic and genetic mechanisms involved in either resisting stress or recovering from bleaching. The research leverages the Moorea Coral Reef (MCR) LTER, which integrates the high resolution oceanographic metrics and data on long-term community dynamics into the study of rapid adaptation of Acropora hyacinthus. Genetic and epigenetic signatures of a natural selection event (bleaching) are tracked in the field to test the impact of bleaching history on reproductive and carry-over effects in larval and juvenile corals. Both physiological and molecular methods, such as 2bRAD genotyping and reduced representation bisulfite sequencing, are employed to investigate correlations between phenotypes and genetic and epigenetic differences in the genome. This work explores associations between selection on genetic variation and epigenetic variation as well as the potential role of DNA methylation in phenotypic change across a generation in association with coral bleaching. In this era of global change, there is mounting evidence that rapid evolutionary processes are occurring at time scales relevant to ecological processes. Therefore, capitalizing on a system with rich long-term ecological data, such as that associated with the MCR LTER, is ideal to investigate mechanisms of rapid adaptation.
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 |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) | |
| NSF Division of Ocean Sciences (NSF OCE) |