NCBI Sequence Read Archive (SRA) accession numbers for raw fastq sequence files of ITS-2 amplicons collected from healthy and SCTLD-affected tissues of nine coral species in Florida, U.S.A. and the U.S. Virgin Islands from 2018-2020

Website: https://www.bco-dmo.org/dataset/997771
Data Type: Other Field Results, experimental
Version: 1
Version Date: 2026-05-14

Project
» A multi-scale approach to predicting infectious multi-host disease spread in marine benthic communities (Multi-scale multi-host disease spread)
ContributorsAffiliationRole
Apprill, AmyWoods Hole Oceanographic Institution (WHOI)Co-Principal Investigator
Brandt, MarilynUniversity of the Virgin Islands Center for Marine and Environmental Studies (UVI)Co-Principal Investigator
Correa, Adrienne M.S.Rice UniversityCo-Principal Investigator
Holstein, DanielLouisiana State University (LSU)Co-Principal Investigator
Muller, Erinn M.Mote Marine Laboratory (Mote)Co-Principal Investigator
Mydlarz, LauraUniversity of Texas at Arlington (UT Arlington)Co-Principal Investigator
Karrick, Carly E.University of Kentucky (UK)Student
Rauch, ShannonWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
These data include NCBI Sequence Read Archive (SRA) accession numbers for raw fastq files of internal transcribed spacer-2 (ITS-2) amplicons from 491 apparently healthy and stony coral tissue loss disease (SCTLD)-affected corals in Florida, U.S.A., and the United States Virgin Islands (USVI), representing nine coral species sampled in situ or during an SCTLD transmission experiment. From Florida, 215 samples were collected in situ from six epidemic sites in 2018. From the USVI, 110 samples were collected in situ from four reef sites in 2019-2020. Of the total samples, 325 were sampled in situ as sets of SCTLD-affected and apparently healthy conspecifics: two samples were collected from each diseased coral, one from tissue adjacent to the gross tissue loss lesion and one from apparently healthy tissue on the same coral; one sample was then collected from a nearby conspecific coral that was apparently healthy. The 166 remaining samples were originally collected from Rupert's Rock in the USVI, and samples were taken from these corals during a wet lab-based SCTLD transmission experiment. Understanding whether Symbiodiniaceae composition is predictive of disease state is crucial for managing SCTLD outbreaks, and these data permit investigations of how Symbiodiniaceae lineage-level dynamics may underlie variation in holobiont disease response. Florida samples were collected by Kerry Maxwell, Lindsay Huebner, Dr. Erinn M. Muller, and their teams at the Florida Fish & Wildlife Research Institute and Mote Marine Laboratory. USVI samples were collected by Dr. Marilyn Brandt, Sonora Meiling, Dr. Alex Veglia, Dr. Daniel Holstein, Dr. Laura Mydlarz, Dr. Amy Apprill, Dr. Adrienne Correa, and their teams. Danielle Lasseigne, Adam Glahn, Amanda Long, Bradley Arrington, Daniel Mele, Kathryn Cobleigh, Alexandra Gutting, Joseph Townsend, Naomi Huntley, Kelsey Beavers, Paul Barbera, Nate Berkebile, Tiffany Boisvert, Michael Bollinger, Katy Cummings, Amanda Ellis, Kristine Fisher, John Hart, Lauri Maclaughlin, Brian Reckenbeil, and Jennifer Stein assisted with field collections.


Coverage

Location: Florida Keys (USA) and the United States Virgin Islands
Spatial Extent: N:24.7329 E:-64.895336 S:18.279247 W:-81.4095
Temporal Extent: 2018 - 2020

Methods & Sampling

For samples collected from the Florida Keys, U.S.A., sterile, 10 milliliter (mL) syringes were used to scrape/remove tissue from Montastraea cavernosa, Orbicella faveolata, Colpophyllia natans, Meandrina meandrites, and Pseudodiploria strigosa corals. For Siderastrea siderea corals collected from the Florida Keys, U.S.A., a sterile corer was used to scrape tissue off, which was captured in a sterile syringe. Coral tissues were transferred from the syringes to plastic tubes before transport on ice to the South Florida Regional Laboratory of the Florida Fish & Wildlife Conservation Commission's Fish and Wildlife Research Institute. There, coral tissues were flash frozen with liquid nitrogen before storage at -80 degrees Celsius (°C). DNA was extracted from samples using DNeasy PowerSoil Kits (QIAGEN, Germantown, MD, USA). 6 mL of coral tissue/mucus slurries were used for S. siderea, but 2 mL were used for all other species. Each slurry was centrifuged, and the supernatant was discarded to isolate a pellet of coral tissue/mucus. These methods are described by Clark et al. (2021).

For samples collected from the United States Virgin Islands, diseased and apparently healthy Porites astreoides, M. cavernosa, Orbicella annularis, S. siderea, C. natans, Diploria labyrinthiformis, M. meandrites, and P. strigosa corals were collected by divers on SCUBA via hammer and chisel. Fragments were stored in individual, sterile whirlpaks before being flash frozen in a charged liquid nitrogen dry shipper on the boat and subsequently stored at -80°C. All in situ samples (i.e., from both Florida, U.S.A., and the U.S. Virgin Islands) were sampled as sets of stony coral tissue loss disease-affected and apparently healthy conspecifics. Two samples were collected from each diseased coral: one adjacent to the gross tissue loss lesion and one from apparently healthy tissue on the same coral. One sample was collected from a nearby conspecific coral that was apparently healthy. Coral tissue was airbrushed from the flash-frozen fragments using phosphate buffered saline. Then, coral tissue slurry was centrifuged, and the supernatant was discarded to isolate a pellet of coral tissue/mucus. No more than 0.040 grams (g) of coral tissue was used for a DNA extraction using the ZymoBIOMICS DNA/RNA Miniprep Kit (ZymoResearch, Irvine, CA, USA).

Apparently healthy corals (C. natans, M. cavernosa, O. annularis, P. astreoides, P. strigosa, and S. siderea) for the stony coral tissue loss disease transmission experiment were originally collected from Rupert's Rock by divers on SCUBA via hammer and chisel. Corals were placed in separate, sealed bags before transport to the Center for Marine and Environmental Sciences in coolers with seawater. There, corals were halved with a sterilized chop saw or bandsaw and placed into shaded raceways for at least one week prior to the start of the experiment. One day before the start of the transmission experiment, healthy and diseased Diploria labyrinthiformis corals were collected from Rupert's Rock and Flat Cay, respectively, via hammer and chisel. These D. labyrinthiformis corals were placed in separate gallon bags and transported to the Center for Marine and Environmental Sciences. For the control treatment, one fragment each of C. natans, M. cavernosa, O. annularis, P. astreoides, P. strigosa, and S. siderea were randomly arranged around a central apparently healthy D. labyrinthiformis coral. For the disease treatment, corresponding fragments of each genet were randomly arranged around a central diseased D. labyrinthiformis coral. This was replicated eight times. Corals were examined twice daily. If a lesion was observed to actively expand for at least 12 hours, the fragment was removed from the experimental container and flash frozen in a charged dry shipper. After eight days, all remaining fragments were flash frozen. Methods for the transmission experiment are reported by Meiling et al. (2021), and DNA was extracted according to the in situ samples collected from the U.S. Virgin Islands, as described above.

The internal transcribed spacer-2 (ITS-2) region of Symbiodiniaceae rDNA was amplified from all extracted DNA using the SYM_Var primer pair (Hume et al., 2018): SYM_VAR_5.8SII (5'-GAATTGCAGAACTCCGTGAACC-3') and SYM_REV (5'-CGGGTTCWCTTGTYTGACTTCATGC-3'). PCR reagents included 2 microliters (µL) of DNA, 0.42 µL of forward and reverse primers, 15 µL of DNase/RNase-free water, and 17.5 µL of EconoTaq PLUS GREEN 2X Master Mix. After 10 minutes at 74°C, PCR conditions included 32 cycles of 94°C for 1 minute, 59°C for 1 minute, and 74°C for 2 minutes, followed by 74°C for 7 minutes. Sequencing was performed on an Illumina MiSeq PE300 platform at Oregon State University's Center for Quantitative Life Sciences (OSU CQLS, Corvallis, OR, USA). These methods are described by Karrick et al. (in review).


Data Processing Description

Sequencing was performed on an Illumina MiSeq PE300 platform at Oregon State University's Center for Quantitative Life Sciences (OSU CQLS, Corvallis, OR, USA) with the ITS-2 rDNA SYM_Var primer pair. Raw fastq files were then uploaded to NCBI's Sequence Read Archive (SRA) under BioProjects PRJNA955224, PRJNA1230223, and PRJNA1375785.

Note that BioProject PRJNA1375785 will be made publicly available on or before 2027-01-01.


BCO-DMO Processing Description

- Created a site list using the latitude and longitude coordinates from the data submitter.
- Imported the site list and the original data file, "metadata_sym_sctld_its2.csv", into the BCO-DMO system.
- Applied find/replace on "site" field, correcting spelling of "Perseverence" to "Perseverance".
- Joined the site list to the primary data file based on the site name, creating new columns for latitude and longitude.
- Applied conditional find/replace on row 27 only, replacing the value "z" in the site column with an empty/missing value. (This site name is unknown.)
- Saved the final file as "997771_v1_sctld-associated_symbiodiniaceae_its-2.csv".


Problem Description

A total of 49 samples had <1,000 reads, so 442 were retained for downstream analyses.

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Data Files

File
997771_v1_sctld-associated_symbiodiniaceae_its-2.csv
(Comma Separated Values (.csv), 106.70 KB)
MD5:d22d78974c865c3472c86229bbba05fd
Primary data file for dataset ID 997771, version 1

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Related Publications

Clark, A. S., Williams, S. D., Maxwell, K., Rosales, S. M., Huebner, L. K., Landsberg, J. H., Hunt, J. H., & Muller, E. M. (2021). Characterization of the Microbiome of Corals with Stony Coral Tissue Loss Disease along Florida’s Coral Reef. Microorganisms, 9(11), 2181. https://doi.org/10.3390/microorganisms9112181
Methods
Howe-Kerr, L. I., Knochel, A. M., Meyer, M. D., Sims, J. A., Karrick, C. E., Grupstra, C. G. B., Veglia, A. J., Thurber, A. R., Vega Thurber, R. L., & Correa, A. M. S. (2023). Filamentous virus-like particles are present in coral dinoflagellates across genera and ocean basins. The ISME Journal, 17(12), 2389–2402. https://doi.org/10.1038/s41396-023-01526-6
Results
Hume, B. C. C., Ziegler, M., Poulain, J., Pochon, X., Romac, S., Boissin, E., de Vargas, C., Planes, S., Wincker, P., & Voolstra, C. R. (2018). An improved primer set and amplification protocol with increased specificity and sensitivity targeting the Symbiodinium ITS2 region. PeerJ, 6, e4816. Portico. https://doi.org/10.7717/peerj.4816
Methods
Karrick, C.E., Veglia, A.J., Meiling, S., Maxwell, K., Huebner, L.K., Holstein, D.M., Mydlarz, L., Brandt, M., Apprill, A., Muller, E.M., and Correa, A.M.S. Key coral symbiont lineages (Family Symbiodiniaceae) are differentially associated with stony coral tissue loss disease (SCTLD). [In review at ISME Communications]
Methods
Meiling, S. S., Muller, E. M., Lasseigne, D., Rossin, A., Veglia, A. J., MacKnight, N., Dimos, B., Huntley, N., Correa, A. M. S., Smith, T. B., Holstein, D. M., Mydlarz, L. D., Apprill, A., & Brandt, M. E. (2021). Variable Species Responses to Experimental Stony Coral Tissue Loss Disease (SCTLD) Exposure. Frontiers in Marine Science, 8. https://doi.org/10.3389/fmars.2021.670829
Methods

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Related Datasets

IsRelatedTo
Rice University. Symbiodiniaceae ITS2 and LSU amplicon sequence reads from Pacific and Caribbean coral colonies. 2023/04. In: BioProject [Internet]. Bethesda, MD: National Library of Medicine (US), National Center for Biotechnology Information; 2011-. Available from: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA955224. NCBI:BioProject: PRJNA955224.
University of California, Berkeley. Symbiodiniaceae ITS-2 Sequencing Data of Seven Coral Species Affected by Stony Coral Tissue Loss Disease in the U.S. Virgin Islands. 2025/02. In: BioProject [Internet]. Bethesda, MD: National Library of Medicine (US), National Center for Biotechnology Information; 2011-. Available from: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA1230223. NCBI:BioProject: PRJNA1230223.

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Parameters

ParameterDescriptionUnits
sample

Sequencing library ID

unitless
coral_id

ID of coral sampled assigned at the time of sampling

unitless
sample_id

ID of sample assigned at the time of sampling

unitless
health

Tissue health state, where "healthy" is a sample collected from an apparently healthy coral (HH), "unaffected" is a sample of apparently healthy tissue taken away from the disease lesion on a diseased coral (HD), and "diseased" is tissue taken adjacent to the disease lesion on a diseased coral (DD)

unitless
host_phylum

Phylum of the sampled coral

unitless
host_class

Class of the sampled coral

unitless
host_order

Order of the sampled coral

unitless
host_family

Family of the sampled coral

unitless
host_genus

Genus of the sampled coral

unitless
host_species

Species of the sampled coral

unitless
susceptibility

Stony coral tissue loss disease (SCTLD) susceptibility of the sampled coral, based on NOAA's 2018 case definition of the disease (high, moderate, low)

unitless
location

Sampling location, either Florida, USA, (FL), or the United States Virgin Islands (USVI)

unitless
sampletype

Whether the sample was collected in situ or ex situ, and the tissue health state (HH, HD, or DD)

unitless
site

The sampling site; NA = ex situ sample; blank = site information is unavailable. 

unitless
latitude

Latitude of the sampling site

decimal degrees
longitude

Longitude of the sampling site

decimal degrees
year

The sampling year

unitless
col_health

Whether the sampled coral was apparently healthy or diseased

unitless
figure_sample_id

The sample ID used on the x-axis of supplemental figures in Karrick et al. (in review)

unitless
figure_coral_id

The coral ID used for faceting of supplemental figures in Karrick et al. (in review)

unitless
ncbi_bioproject

The NCBI BioProject the sample is associated with

unitless
ncbi_biosample

The NCBI BioSample the sample is associated with

unitless
AphiaID

Aphia ID of the host species

unitless


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Instruments

Dataset-specific Instrument Name
Illumina MiSeq PE300
Generic Instrument Name
Automated DNA Sequencer
Generic Instrument Description
A DNA sequencer is an instrument that determines the order of deoxynucleotides in deoxyribonucleic acid sequences.

Dataset-specific Instrument Name
centrifuge
Generic Instrument Name
Centrifuge
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
hammer and chisel
Generic Instrument Name
Manual Biota Sampler
Generic Instrument Description
"Manual Biota Sampler" indicates that a sample was collected in situ by a person, possibly using a hand-held collection device such as a jar, a net, or their hands. This term could also refer to a simple tool like a hammer, saw, or other hand-held tool.

Dataset-specific Instrument Name
SCUBA
Generic Instrument Name
Self-Contained Underwater Breathing Apparatus
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

Dataset-specific Instrument Name
syringe
Generic Instrument Name
syringe
Generic Instrument Description
A device used to inject fluids into or withdraw them from something; consists of a hollow barrel fitted with a plunger and a hollow needle.

Dataset-specific Instrument Name
PCR
Generic Instrument Name
Thermal Cycler
Generic Instrument Description
A thermal cycler or "thermocycler" is a general term for a type of laboratory apparatus, commonly used for performing polymerase chain reaction (PCR), that is capable of repeatedly altering and maintaining specific temperatures for defined periods of time. The device has a thermal block with holes where tubes with the PCR reaction mixtures can be inserted. The cycler then raises and lowers the temperature of the block in discrete, pre-programmed steps. They can also be used to facilitate other temperature-sensitive reactions, including restriction enzyme digestion or rapid diagnostics. (adapted from http://serc.carleton.edu/microbelife/research_methods/genomics/pcr.html)


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Project Information

A multi-scale approach to predicting infectious multi-host disease spread in marine benthic communities (Multi-scale multi-host disease spread)

Coverage: United States Virgin Islands


NSF Award Abstract:
Marine diseases have devastating impacts on ocean ecosystems and this work will directly examine the framework for understanding disease transmission in the ocean. A team of ecologists, ocean connectivity and disease modelers, microbiologists, and coral immunologists (from the University of Virgin Islands (UVI), Louisiana State University (LSU), Rice University, University of Texas-Arlington and the Woods Hole Oceanographic Institution) will develop a model that predicts transmission of a devastating Caribbean coral disease that has the potential to impact the economic value of coral reefs, including those located in the U.S. This project will support multidisciplinary field and laboratory research experiences of graduate students at multiple minority-serving institutions, and will provide 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 will collaboratively provide URM students with research experiences in STEM fields. Project findings will be broadly communicated through virtual public programming, and through the Virgin Islands Coral Disease Advisory Committee with updates on the vicoraldisease.org website. A coral disease response workshop for the U.S. Virgin Islands will also be held, in which project results will be presented and used to support disease response planning.

Over the last four decades, marine diseases have decimated ecosystem engineers in marine coastal ecosystems, including the rocky intertidal, seagrasses and coral reefs. The pathogens driving these diseases have frequently been challenging to isolate, characterize and confirm, in part because they affect multiple host species and can spread by ocean currents, as well as through individual contact. Here, we propose a multi-scale epidemic model for studying marine disease that addresses both within-host and within-patch disease dynamics, and explicitly acknowledges the dispersal of pathogens between populations. Our interdisciplinary research team of ecologists, connectivity and disease modelers, microbiologists, and coral immunologists will integrate the largest set of predictors of marine disease spread to date: individual host species traits that allow for disease resistance or susceptibility, local transmission within communities that may have unique community structure, and hydrodynamic connectivity among susceptible communities. Modeling will be supported with rich data sets of within- and among-patch population characteristics and disease dynamics as well as molecular data on species-level disease responses. This project will advance knowledge of infectious diseases by integrating multidimensional scales and differential host susceptibilities into existing epidemiological models. This model will particularly advance the framework for studying marine diseases and has the potential to elucidate the transmission properties of a devastating Caribbean coral disease (stony coral tissue loss disease) that fits the most confounding and notorious hallmarks of marine diseases: infection of multiple hosts by an elusive pathogen.

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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