| Contributors | Affiliation | Role |
|---|---|---|
| Apprill, Amy | Woods Hole Oceanographic Institution (WHOI) | Co-Principal Investigator |
| Brandt, Marilyn | University of the Virgin Islands Center for Marine and Environmental Studies (UVI) | Co-Principal Investigator |
| Correa, Adrienne M.S. | Rice University | Co-Principal Investigator |
| Holstein, Daniel | Louisiana State University (LSU) | Co-Principal Investigator |
| Mydlarz, Laura | University of Texas at Arlington (UT Arlington) | Co-Principal Investigator |
| Kastner, Mallory | Woods Hole Oceanographic Institution (WHOI) | Student, Technician |
| Mickle, Audrey | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Collection
At each sampling location, we collected reef seawater for water quality metrics: the microbial community of the surrounding environment, the total organic carbon and total nitrogen, and cell abundances. Water was collected via SCUBA 2 m above the reef. Samples were collected in acid-washed and seawater-rinsed bottles.
To quantify cell abundances of Prochlorococcus, Synechococcus, picoeukaryotes, and unpigmented (presumably heterotrophic bacteria/archaea) microorganisms, seawater (1.4 mL) was preserved using paraformaldehyde, and frozen in liquid nitrogen vapors. Water for non-purgeable organic carbon (TOC) and organic nitrogen was collected into combusted, borosilicate EPA vials and acidified with phosphoric acid, then stored at 4 degrees Celsius.
Sample processing will be conducted using previously published methods (Becker et al., 2020; Weber et al., 2020).
Cell abundances
Acid-washed and seawater-rinsed bottles (HDPE, Nalgene, Thermo - Fisher Scientific); 2 ml cryovial (Corning); 1% paraformaldehyde (Electron Microscopy Sciences); Beckman-Coulter Altra flow cytometer (Beckman Coulter Life Sciences) that was attached to a Harvard Apparatus syringe pump and stained with Hoechst 33342 DNA stain (1 μg ml−1 final concentration) and excited co-linearly by 488 nm (1W) and UV (~350 nm, 200 mW) lasers (Becker et al., 2020).
Total organic carbon and total nitrogen
After preservation with phosphoric acid, TOC and TN concentrations will be determined using a Shimadzu TOC-VCSH total organic carbon analyzer equipped with a TNM-1 module at Woods Hole Oceanographic Institution. Results will be made available after they have been processed.
- Imported "EEID_WaterQuality_FGB2023_BCODMO.xlsx" into the BCO-DMO system
- Converted "date" (which included time) to the ISO 8601 date time format
- Removed " ft" string text from the "Sampling_depth" values to convert the parameter from string to number
- Replaced spaces and special characters and removed units in parameter names to comply with BCO-DMO guidelines
- Created a new field, ""Sampling_depth_m" with converted depth values in meters (units used to differentiate these fields with depth information)
- Renamed "Sampling_depth" to ""Sampling_depth_ft" (units used to differentiate these fields with depth information)
- Exported file as "986649_v1_water_quality_flower_garden_banks.csv"
| File |
|---|
986649_v1_water_quality_flower_garden_banks.csv (Comma Separated Values (.csv), 576 bytes) MD5:291605774f433dfdaf99c1a77aa2c7ce Primary data file for dataset ID 986649, version 1 |
| Parameter | Description | Units |
| Mission | Mission description | unitless |
| Site | Site number of sampling | unitless |
| Sampling_datetime_UTC | Date and time of sampling, UTC | unitless |
| Sampling_depth_ft | Depth of sampling for non-Sonde samples in feet | feet |
| Sampling_depth_m | Depth of sampling for non-Sonde samples in meters, converted from ft | meters |
| Lab_ID_for_cell_abundances | Sample IDs for Cell Abundances | unitless |
| pro | Prochlorococcus concentration | cells/ml |
| syn | Synechococcus concentration | cells/ml |
| peuk | Picoeukaryote concentration | cells/ml |
| hbact | Heterotrophic Bacteria and Archaea concentrations | cells/ml |
| Lab_ID_for_TON_TOC | Sample IDs for TON and TOC samples | unitless |
| npoc | Total organic carbon concentration | uM |
| tn | Total nitrogen concentration | uM |
| Dataset-specific Instrument Name | Beckman-Coulter Altra flow cytometer |
| Generic Instrument Name | Flow Cytometer |
| Dataset-specific Description | Cell abundances: Acid-washed and seawater-rinsed bottles (HDPE, Nalgene, Thermo - Fisher Scientific); 2 ml cryovial (Corning); 1% paraformaldehyde (Electron Microscopy Sciences); Beckman-Coulter Altra flow cytometer (Beckman Coulter Life Sciences) that was attached to a Harvard Apparatus syringe pump and stained with Hoechst 33342 DNA stain (1 μg ml−1 final concentration) and excited co-linearly by 488 nm (1W) and UV (~350 nm, 200 mW) lasers (Becker et al., 2020). |
| Generic Instrument Description | Flow cytometers (FC or FCM) are automated instruments that quantitate properties of single cells, one cell at a time. They can measure cell size, cell granularity, the amounts of cell components such as total DNA, newly synthesized DNA, gene expression as the amount messenger RNA for a particular gene, amounts of specific surface receptors, amounts of intracellular proteins, or transient signalling events in living cells.
(from: http://www.bio.umass.edu/micro/immunology/facs542/facswhat.htm) |
| Dataset-specific Instrument Name | Shimadzu TOC-VCSH TOC analyser |
| Generic Instrument Name | Total Organic Carbon Analyzer |
| Dataset-specific Description | Total organic carbon and total nitrogen: concentrated phosphoric acid, Shimadzu TOC-VCSH TOC analyser. |
| Generic Instrument Description | A unit that accurately determines the carbon concentrations of organic compounds typically by detecting and measuring its combustion product (CO2). See description document at: http://bcodata.whoi.edu/LaurentianGreatLakes_Chemistry/bs116.pdf |
| Website | |
| Platform | R/V Pelican |
| Start Date | 2023-03-05 |
| End Date | 2023-03-11 |
| Description | More information is available from R2R: https://www.rvdata.us/search/cruise/PE23-18 |
NSF Award Abstract:
Marine diseases have devastating impacts on ocean ecosystems and this work directly informs understanding of disease transmission in the ocean. To understand the cause and patterns of spread of a disease outbreak that began in late summer of 2022 at the Flower Garden Banks National Marine Sanctuary (northwest Gulf of Mexico, GoM), a team of ecologists, ocean connectivity and disease modelers, microbiologists, and coral immunologists (from Rice University, the University of Virgin Islands (UVI), Louisiana State University (LSU), and Woods Hole Oceanographic Institution) is monitoring the health of corals, and biopsy their tissues. This data aid in developing a model that predicts coral disease transmission and its impacts on economically valuable coral reefs in the GoM. This project supports multidisciplinary field and laboratory research experiences of graduate students at multiple minority-serving institutions, and provides undergraduate students with hands-on training in modeling, ecological and molecular analysis techniques. UVI and LSU are in EPSCoR jurisdictions and have diverse student bodies, including numerous under-represented minority (URM) students. The research team collaboratively provides URM students with research experiences in STEM fields. Project findings are being broadly communicated through virtual public programming, to the Disease Advisory Council, and via direct updates to managers of the Flower Garden Bank National Marine Sanctuary.
Over the last four decades, diseases decimated ecosystem engineers in marine coastal environments, including coral reefs. Recent results from studies of white plague and stony coral tissue loss disease (SCTLD) show coral species immune traits can influence disease resistance and therefore predict of coral community structure post-outbreak in the Caribbean. In late August of 2022, an unidentified multi-species acute tissue loss disease with signs and species susceptibility characteristics reminiscent of white plague or SCTLD was documented at the Flower Garden Banks (northwest Gulf of Mexico, GoM). This disease is having significant impacts on FGB and could become widespread across the GoM, offering an opportunity to test hypotheses about the influence of coral community composition and pathogen dispersal on disease spread during the early stages of an outbreak; few studies examine this on relatively isolated, deep, coral-dense reefs. The interdisciplinary research team employs photomosaics and colony fate-tracking, layered molecular datasets and microscopy approaches, as well as modeling of disease reservoirs and dispersal to assess the etiology of the disease and contribute to the development of a generalizable framework for disease spread on reefs. By parsing the impacts of reef-scale community composition versus seascape-scale dispersal in disease transmission and persistence, this work helps reveal the potential resistance and resilience of isolated, coral-dense reefs to diseases that decimate these ecosystems across the wider Caribbean.
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) | |
| NSF Division of Ocean Sciences (NSF OCE) |