Contributors | Affiliation | Role |
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Correa, Adrienne M.S. | Rice University | Principal Investigator |
Santiago-Vazquez, Lory | University of Houston (UH-Clearlake) | Co-Principal Investigator |
Shore, Amanda | Rice University | Contact |
York, Amber D. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
To document the effects of storm-driven freshwater runoff on sponge-associated microbiomes, we leveraged the heavy rainfall associated with Tax Day Flooding (July 2016) and Hurricane Harvey (August 2017) to characterize sponge-associated bacterial communities at five time points: in July 2016 (at detection of the mortality event), one month after the mortality event (August 2016), immediately after Hurricane Harvey (September 2017), one month after Hurricane Harvey (October 2017), and approximately one year following Hurricane Harvey (October 2018).
These data contain Sequence Read Archive (SRA) and BioSample accession numbers associated with BioProject PRJNA605902 (see https://www.ncbi.nlm.nih.gov/bioproject/605902) at The National Center for Biotechnology Information.
Location:
East and West Banks of the Flower Garden Banks National Marine Sanctuary (FGBNMS)
Sampling Events:
NOAA FGBNMS Cruise July 2016, NOAA FGBNMS Cruise August 2016
Hurricane Harvey FGB October 2017, Hurricane Harvey FGB October 2018
Methodology:
V4-16S bacterial communities libraries were prepared and PE 250bp reads were generated using Illumina MiSeq platform.
Sampling and analytical procedures:
Samples were flash frozen in liquid nitrogen and stored at -20℃ until further processing. DNA was extracted from 250 mg of sponge sample using the Nucleospin Soil DNA extraction kit (Takara Bio) or the DNeasy PowerSoil DNA extraction kit (QIAGEN).
Processing description for data in the Sequence Read Archive:
Sequencing processing and statistical analysis were conducted through the QIIME2 2019.10 software package.
BCO-DMO Data Manager Processing notes:
* Made the following changes to the originally submitted file "sponges_ANSedits_7.23.2020.csv"
* converted variable date formatting to ISO8601 format yyyy-mm-dd
* converted lat/lon in degrees decimal minutes with format 27° 52'54.84”,"93° 37'41.84""" to degrees decimal minutes. Made Long negative so it correctly corresponds to the sample location.
* Checked taxonomic names for validity using WoRMS
Identification, lowest taxon match in WoRMS, LSID
Agaricia sp., Agaricia, urn: lsid: marinespecies.org: taxname: 204464
Agelas clathrodes, Agelas clathrodes, urn:lsid:marinespecies.org:taxname:164823, accepted
Xestospongia mute, Xestospongia mute, urn:lsid:marinespecies.org:taxname:166894, accepted
File |
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sponges.csv (Comma Separated Values (.csv), 13.02 KB) MD5:f96a637bbd09cd20e015f7df90eb20bf Primary data file for dataset ID 817436 |
Parameter | Description | Units |
Sample_Name | Sample name | unitless |
Collection_Date_Start | Sample collection date (start of date range) in ISO 8601 format yyyy-mm-dd | unitless |
Collection_Date_End | Sample collection date (end of date range) in ISO 8601 format yyyy-mm-dd | unitless |
Depth_min | Sample collection depth (minimum of depth range) | meters (m) |
Depth_max | Sample collection depth (maxiumum of depth range) | meters (m) |
Bank | East or west bank of the Flower Garden Banks | unitless |
Species | Identification (taxonomic name or organism description) | unitless |
SRA | Sequence Read Archive (SRA) accession number at NCBI | unitless |
Accession | BioSample accession number at NCBI | unitless |
Lat | Sample latitude | decimal degrees |
Long | Sample longitude | decimal degrees |
Dataset-specific Instrument Name | Illumina MiSeq Platform |
Generic Instrument Name | Automated DNA Sequencer |
Generic Instrument Description | General term for a laboratory instrument used for deciphering the order of bases in a strand of DNA. Sanger sequencers detect fluorescence from different dyes that are used to identify the A, C, G, and T extension reactions. Contemporary or Pyrosequencer methods are based on detecting the activity of DNA polymerase (a DNA synthesizing enzyme) with another chemoluminescent enzyme. Essentially, the method allows sequencing of a single strand of DNA by synthesizing the complementary strand along it, one base pair at a time, and detecting which base was actually added at each step. |
NSF Award Abstract:
Coral reefs are ecologically and economically important ecosystems, and are threatened by a variety of global (climate change) and local (overfishing, pollution) stressors. Anthropogenic climate change is increasing the frequency and severity of storms, which can physically damage reef structures and reduce reef health through changes in seawater quality. In August of 2017, Hurricane Harvey caused widespread flooding in southeast Texas when it released more than 50 trillion liters of rain, which then accumulated along the Texas Shelf. This runoff is expected to impact nearby coral reefs in the Flower Garden Banks National Marine Sanctuary (FGBNMS, northwest Gulf of Mexico) via eddies and jets that transport coastal waters offshore. Findings from this project will allow managers to quickly predict whether extreme storm events are likely to induce reef mortality and ecosystem decline due to freshwater accumulation, by tracking of low salinity water masses coupled with microbial community characterization and metrics of coral health. These data are critical to managing coastal ecosystems, including the high coral cover reefs in the FGBNMS, and will help stakeholders (e.g., diving and fishing communities) plan for and minimize disruption to their livelihoods following these storms. Results will be communicated broadly across scientific arenas, in graduate and undergraduate education and training programs, and to the general public through outreach. The investigators have seven 7 square meter 2-D Reef Replicas from 2014 depicting representative FGBNMS reef bottoms, and will construct additional 2-D Reef Replicas from both banks following the arrival of Harvey runoff, allowing the public to directly experience and quantify the effects of Hurricane Harvey on local reefs using quadrats and identification guides. This project will also synergize with NSF REU programs at Boston University and Texas A&M University, providing transformative research experiences for undergraduates. One post-doctoral scholar, four graduate students, a technician and more than 5 undergraduates will be involved in all aspects of the research. All datasets will be made freely available to the public, and will serve as an important set of baselines for future lines of inquiry into the processes by which hurricanes and other extreme storms impact reef health.
Hurricanes and other extreme storm events can decimate coral reefs through wave-driven physical damage. Freshwater runoff from extreme storms is also potentially detrimental to reefs but has received comparatively less attention. This research will provide unprecedented resolution on how hurricanes and other extreme storm events may trigger cascading interactions among water chemistry, declines in metazoan health and shifts in their associated microbial communities, ultimately resulting in coral reef decline. The freshwater runoff initiated by Hurricane Harvey is likely to impact reefs within the FGBNMS, one of the few remaining coral-dominated reefs in the greater Caribbean. The effects of Harvey runoff will be compared to a previously documented storm-driven runoff event that was associated with invertebrate mortality on the same reef system. Sampling seawater chemistry, microbial communities (water column and benthic), and host gene expression and proteomics before, immediately after, and six months after Harvey runoff enters the FGBNMS will allow us to identify commonalities among large-scale freshwater runoff events and track the response of benthic invertebrate health, microbial community diversity, and the trajectory of reef community recovery or decline. The investigators will determine if changes in water chemistry induce pelagic microbial shifts, if microbial communities typically associated with corals and sponges are altered, and whether feedbacks occur between these potential drivers of benthic invertebrate mortality.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |