| Contributors | Affiliation | Role |
|---|---|---|
| Easson, Cole G. | Middle Tennessee State University | Principal Investigator |
| Fiore, Cara L. | Appalachian State University | Co-Principal Investigator |
| Freeman, Christopher J. | College of Charleston (CofC) | Co-Principal Investigator |
| Thacker, Robert W. | Stony Brook University (SUNY Stony Brook) | Co-Principal Investigator |
| Mickle, Audrey | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Location
Samples were collected on shallow reefs (<10m) in the Florida Keys, USA. The temporary artificial reef was constructed adjacent to patch reefs within the Looe Key special preservation area. At the conclusion of the experiment, the reef was completely dismantled. The environment was well mixed by wave action within minimal tidal influence.
Collection and Analysis
One-milliliter of seawater samples were collected via VacuSIP and preserved in paraformaldehyde (0.5% final concentration), flash frozen in liquid nitrogen, and then shipped to Bigelow Laboratory for Ocean Sciences. At this laboratory, the following methodology was used:
A ZE5 Cell Analyzer flow cytometer (Bio-Rad, Hercules, CA, USA) was used to measure optical properties of single cells from each sample and quantify requested populations. To ensure accurate calibration of the flow cytometer, ZE5 QC beads (Bio-Rad, Hercules, CA, USA) were run daily.
Picophytoplankton (less than 3 µm) and nanophytoplankton (3-20 µm) were analyzed using a slight modification of the method described in Lomas et al., 2010. Immediately after thawing at room temperature, 300-400 µl of sample was prescreened through 70 µm mesh and run at a flow rate of 1 µl sec-1. Particles were excited with a 488 nm blue laser and data acquisition was triggered on red fluorescence. Signals were recorded from detectors with bandpass filters for forward scatter (FSC), right angle light scatter (SSC) and fluorescence emission in red (692/80 nm) indicative of chlorophyll a, and orange (593/52 nm) for phycoerythrin. Data files were analyzed from logarithmic dot plots based on fluorescence and characteristic light scattering properties (DuRand & Olson, 1996) using FlowJo 10.6 software (FlowJo, 2023) (Becton Dickinson & Company, San Jose, CA, USA). Total pico and nano phytoplankton populations were identified based upon cell size and red fluorescence. Phycoerythrin containing cell populations were determined by orange fluorescence. Based upon these gating criteria, the number of cells in each identified population was enumerated and converted to cell abundances using the processed sample volume and adjusted for dilution by preservative.
For total bacteria analysis, samples were thawed, diluted 1:10 with Tris EDTA (TE) Buffer pH 8.0 and stained using a 10x working stock of SYBR Green I Nucleic Acid Stain (Thermofisher Scientific, USA) at room temperature in the dark for 15 min using the protocol of Marie et al. (2005). At a flow rate of 0.5 µl sec-1, 180 µl of the diluted sample was run. Particles were excited with a 488 nm blue laser and data acquisition was triggered on green fluorescence. Signals were recorded from detectors with bandpass filters for forward scatter (FSC), right angle light scatter (SSC) and fluorescence emission in green (525/35nm). Data files were analyzed from two logarithmic scatter plots based on fluorescence and characteristic light scattering properties. Total bacteria counts were identified based on size and presence of green fluorescence and counts were converted to cell abundances using the volume of sample processed including adjustments for preservation, dilution and staining.
Raw data is presented here. Data analysis includes univariate and multivariate statistics.
- Imported "Flow_cytometry_BCO-DMO.csv" into BCO-DMO system
- Converted "Lat" and "Lon" to decimal degrees to conform with BCO-DMO guidance
- Converted "Datetime" (only included date) to YYYY-MM-DD ISO 8601 date format to conform with BCO-DMO guidance
- Removed "Day " part of string of values representing day of collection to convert value to an integer
- Renamed fields to comply with BCO-DMO naming conventions, removing units, special characters, and spaces
- Exported file as "969846_v1_flow_cytometry_incurrent_excurrent_flow.csv"
Taxonomic names were checked using the World Register of Marine Species Taxa Match tool (WoRMS). All names matched a known name exactly, except Amphimedon compressa (https://www.marinespecies.org/aphia.php?p=taxdetails&id=166666), which was recently superseded by Amphimedon nodosa (https://www.marinespecies.org/aphia.php?p=taxdetails&id=1814728) earlier in 2025 after work for this dataset was completed. Submitter requested Amphimedon compressa be used in the dataset. The URI locator provides access to the latest taxonomic information.
| File |
|---|
969846_v1_flow_cytometry_incurrent_excurrent_flow.csv (Comma Separated Values (.csv), 17.48 KB) MD5:6fc77eb3349552379bbf54f046b96918 Primary data file for dataset ID 969846, version 1 |
| Parameter | Description | Units |
| Collection_Date | Date of sample collection | unitless |
| Latitude | Latitude of sample collection; North is positive | decimal degrees |
| Longitude | Longitude of sample collection; West is negative | decimal degrees |
| Sample_ID | Sample identifier | unitless |
| Species | Sponge species sampled | unitless |
| Species_Abbreviation | Abbreviation of sponge species | unitless |
| In_or_Ex | Incurrent or Excurrent water sampled | unitless |
| Replicate | Replicate number | unitless |
| Collection_day | Day of collection | unitless |
| TotPhyto_Conc | Total Phytoplankton (Syn + Pro+ Photosynthetic Eukaryotes) | mL-1 |
| Syn_Conc | Synechococcus concentration | mL-1 |
| Pro_Conc | Prochlorococcus concentration | mL-1 |
| Photosynthetic_Eukaryotes | Photosynthetic Eukaryote concentration | mL-1 |
| TotBact_Conc | Total Heterotrophic bacteria (HNA + LNA) | mL-1 |
| HNA_Conc | High nucleic acid bacteria | mL-1 |
| LNA_Conc | Low Nucleic acid bacteria | mL-1 |
| LSID | Life Science Identifier (LSID) for the sponge species | unitless |
| AphiaID | Unique identifier for the sponge species in the Aphia database | unitless |
| Dataset-specific Instrument Name | VacuSIP |
| Generic Instrument Name | Discrete water sampler |
| Dataset-specific Description | One milliliter of seawater samples were collected via VacuSIP and preserved in paraformaldehyde (0.5% final concentration), flash frozen in liquid nitrogen, and then shipped to Bigelow Laboratory for Ocean Sciences. |
| Generic Instrument Description | A device that collects an in-situ discrete water sample from any depth and returns it to the surface without contamination by the waters through which it passes, such as a water bottle. |
| Dataset-specific Instrument Name | ZE5 Cell Analyzer flow cytometer (Bio-Rad, Hercules, CA, USA) |
| Generic Instrument Name | Flow Cytometer |
| Dataset-specific Description | A ZE5 Cell Analyzer flow cytometer (Bio-Rad, Hercules, CA, USA) was used to measure optical properties of single cells from each sample and quantify requested populations. To ensure accurate calibration of the flow cytometer, ZE5 QC beads (Bio-Rad, Hercules, CA, USA) were run daily. |
| 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) |
NSF Award Abstract:
Coral reefs represent a paradox because, despite their immense productivity and biodiversity, they are found in nutrient-poor habitats that are equivalent to "marine deserts." High biodiversity is often associated with a division of resources that allows many types of organisms to coexist with minimal competition. Indeed, unlike many other organisms on coral reefs, sponges are adapted to efficiently remove bacteria, phytoplankton, and dissolved organic matter from seawater by filter-feeding. Sponges are a dominant component of coral reefs worldwide and in the Caribbean, where their biomass exceeds that of reef-building corals. For almost a quarter century, the success of sponges in the Caribbean has been linked to their filter-feeding ability. However, recent work demonstrated that coexisting sponges on Caribbean reefs host unique communities of bacteria that might allow sponges to access multiple pools of nutrients that are not available to other organisms. In this project, the investigators will test the hypothesis that ecologically dominant sponge species in the Caribbean have unique metabolic strategies that are mediated by their associations with microbes that live within the sponge body. This research will combine manipulative field experiments with a novel combination of modern analytical tools to investigate both filter-feeding by sponge hosts and the metabolic pathways of their microbes. This work will advance our understanding of the ecological and evolutionary forces that have helped shape the species present on Caribbean coral reefs. Additionally, this project will support three early-career investigators and provide training opportunities for graduate and undergraduate students at Nova Southeastern University, Appalachian State University, Stony Brook University, and Smithsonian Marine Station. The investigators will also develop innovative outreach programs that expand existing platforms at their institutions to increase public engagement and scientific literacy.
Marine sponges have been widely successful in their expansion across ecological niches in the Caribbean, with biomass often exceeding that of reef-building corals and high species diversity. However, whether this success is linked to efficient heterotrophic filter-feeding on organic carbon in the water column or to their evolutionary investment in microbial symbionts is yet to be fully elucidated. Microbial symbionts expand the metabolic capabilities of host sponges, supplementing heterotrophic feeding with inorganic carbon and nitrogen, mediating the assimilation of dissolved organic matter, and facilitating recycling of host-derived nitrogen. Despite these benefits, microbial symbiont communities are widely divergent across coexisting sponge species and there is substantial variation in host reliance on symbiont-derived carbon and nitrogen among host sponges; therefore, these associations likely mediate the ecological diversification of coexisting sponge species. The goal of this project is to test this transformative hypothesis by adopting an integrative approach to assess the individual components of holobiont metabolism (i.e., microbial symbionts and sponge host) in ten of the most common sponge species in the Caribbean. The investigators will isolate autotrophic and heterotrophic metabolic pathways and explore potential links between microbial symbiont community composition and the assimilation of particulate and dissolved organic matter (POM and DOM) from seawater. This project will elucidate whether Caribbean sponge species are on similar or divergent evolutionary trajectories, and will provide information that is critical for our understanding of how conditions in the Caribbean basin have shaped the evolution of benthic organisms.