http://lod.bco-dmo.org/id/dataset/955245
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2025-03-04
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Literature review of sponge-microbe interactions on sixteen characteristics of 82 sponges.
2025-04-23
publication
2025-04-23
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2025-05-07
publication
https://doi.org/10.26008/1912/bco-dmo.955245.1
Cole G. Easson
Middle Tennessee State University
principalInvestigator
Cara L. Fiore
Appalachian State University
principalInvestigator
Christopher J. Freeman
College of Charleston
principalInvestigator
Robert W. Thacker
Stony Brook University
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Freeman, C. J., Easson, C. G., Fiore, C. L., Thacker, R. W. (2025) Literature review of sponge-microbe interactions on sixteen characteristics of 82 sponges. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-04-23 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.955245.1 [access date]
Sponge-microbe interaction review Dataset Description: <p>Scientific names in the data were checked using World Register of Marine Species (WoRMS) Taxon Match. Scientific names were corrected after working with the data contributor. All scientific names in the data are valid and accepted names as of 2025-03-04.</p> Methods and Sampling: <p>Data compiled from the source papers for this dataset were generated using the following methods.&nbsp;</p>
<p>Microbial abundance (HMA vs LMA status) is enumerated using a combination of scanning and transmission electron microscopy &nbsp;(Weisz et al., 2007, 2008; Gloeckner et al., 2014); chemical defense allocation patterns and palatability are determined by incorporating chemical extracts from sponges into artificial food cubes that are then fed to generalist fish or fish assemblages on coral reefs&nbsp;(Loh and Pawlik, 2014); nutritional quality and physical characteristics of sponge tissue are determined by combustion of dried and weighed tissue in a muffle furnace at 450 C for 12 hours (ash); measuring the force required to tear tissue (tensile strength); NaOH-solube protein analysis using bovine serum albumen as a standard (protein); TCA-soluble carbohydrate content using glycogen as a standard&nbsp;(carbohydrate); a gravimetric lipid assay; and combustion in a bomb calorimeter for caloric energy content (Chanas and Pawlik, 1995). Photosymbiont abundance (chlorophyll a concentration) is determined by extracting sponge tissue in acetone and using a spectrophotometer to estimate the concentration of this pigment (Erwin and Thacker, 2007; Freeman et al., 2020); microbial community diversity (via the Inverse Simpson's index) is determined via 16S metabarcoding of the microbial symbiont community (Easson and Thacker, 2014; Thomas et al., 2016; Gantt et al., 2019; Freeman et al., 2020); NO<sub>x</sub>&nbsp;production was assessed using <em>ex situ</em> experimental incubations or collections of water before and after passing through the sponge&nbsp;(Southwell et al., 2008); pumping rate is assessed based on the advancement of a dye front in the excurrent water plume or an acoustic Doppler velocimeter&nbsp;(Weisz et al., 2007; 2008; Pawlik et al., 2018); the proportion of carbon obtained from dissolved organic matter, detritus, and living particulate organic matter (DOC, DET, LPOC)&nbsp;is assessed by collection of incurrent (before entering the sponge) and excurrent (after entering the sponge) water, followed by analysis of water samples using a combination of flow cytometry to enumerate cells and high temperature catalytic oxidation to measure DOC&nbsp;&nbsp;(McMurray et al., 2018; Pawlik et al., 2018); and tissue density is measured as dry mass of tissue divided by volume (measured as water displacement)&nbsp;(Weisz et al., 2007; 2008).&nbsp;Lastly, phylogenetic signal analysis was carried out as in Freeman et al., 2020 using Pagel’s K statistic (Pagel, 1999; Münkemüller et al., 2012). This statistic measures phylogenetic dependence of trait data, with K values close to zero indicating phylogenetic independence and a value of one suggesting that traits are distributed as would be expected under Brownian Motion.&nbsp;</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1929293 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1929293
completed
Cole G. Easson
Middle Tennessee State University
615-898-5822
1672 Greenland Drive SCI 2044
Murfreesboro
TN
37132
USA
Cole.Easson@mtsu.edu
pointOfContact
Cara L. Fiore
Appalachian State University
828-262-7548
572 Rivers St
Boone
NC
28607
USA
fiorec@appstate.edu
pointOfContact
Christopher J. Freeman
College of Charleston
817-707-5840
66 George Street Department of Biology
Charleston
SC
29424
USA
freemancj@cofc.edu
pointOfContact
Robert W. Thacker
Stony Brook University
631-632-9949
West 5510 FRK MEL LIB
Stony Brook
NY
11794
USA
robert.thacker@stonybrook.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Sponge_Species
Class
Subclass
Order
Family
HMA_LMA
palatability
ash
tensile
carbohydrate
protein
lipid
energy
mean_ChlA
inverse_Simpson
NOx
pump_Rate
DOC
DET
LPOC
Density
theme
None, User defined
species scientific name (binomial)
taxonomic class
order
family
abundance
sample description
carbohydrates
protein concentration
total lipids
chlorophyll a
Nitrogen oxides group
flow rate
dissolved organic Carbon
particulate organic Carbon (POC)
density
featureType
BCO-DMO Standard Parameters
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Collaborative Research: Investigations into microbially mediated ecological diversification in sponges
https://osprey.bco-dmo.org/project/772220
Collaborative Research: Investigations into microbially mediated ecological diversification in sponges
<p><em>NSF Award Abstract:</em><br />
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.</p>
<p>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.</p>
Ecological Diversification in Sponges
largerWorkCitation
project
eng; USA
oceans
2025-04-23
Caribbean coast of Panama
0
BCO-DMO catalogue of parameters from Literature review of sponge-microbe interactions on sixteen characteristics of 82 sponges.
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/955308.rdf
Name: Sponge_Species
Units: unitless
Description: <p>Sponge scientific name</p>
http://lod.bco-dmo.org/id/dataset-parameter/955309.rdf
Name: Class
Units: unitless
Description: <p>Sponge species class</p>
http://lod.bco-dmo.org/id/dataset-parameter/955310.rdf
Name: Subclass
Units: unitless
Description: <p>Sponge species subclass</p>
http://lod.bco-dmo.org/id/dataset-parameter/955311.rdf
Name: Order
Units: unitless
Description: <p>Sponge species order</p>
http://lod.bco-dmo.org/id/dataset-parameter/955312.rdf
Name: Family
Units: unitless
Description: <p>Sponge species family</p>
http://lod.bco-dmo.org/id/dataset-parameter/955313.rdf
Name: HMA_LMA
Units: unitless
Description: <p>Sponge species microbial abundance (High microbial abundance [HMA] or Low microbial abundance [LMA])</p>
http://lod.bco-dmo.org/id/dataset-parameter/955314.rdf
Name: palatability
Units: unitless
Description: <p>Palatability due to chemical defense production (mean number of pellets containing sponge chemical extracts that were consumed in trials with the bluehead wrasse)</p>
http://lod.bco-dmo.org/id/dataset-parameter/955315.rdf
Name: ash
Units: milligrams per ml of sponge tissue (mg/ml)
Description: <p>Ash content in sponge tissue</p>
http://lod.bco-dmo.org/id/dataset-parameter/955316.rdf
Name: tensile
Units: Newtons per m x 10^5 (N/m x 10^5)
Description: <p>Tensile strength of sponge tissue</p>
http://lod.bco-dmo.org/id/dataset-parameter/955317.rdf
Name: carbohydrate
Units: milligrams per ml of sponge tissue (mg/ml)
Description: <p>Carbohydrate content in sponge tissue</p>
http://lod.bco-dmo.org/id/dataset-parameter/955318.rdf
Name: protein
Units: milligrams per ml of sponge tissue (mg/ml)
Description: <p>Protein content in sponge tissue</p>
http://lod.bco-dmo.org/id/dataset-parameter/955319.rdf
Name: lipid
Units: milligrams per ml of sponge tissue (mg/ml)
Description: <p>Lipid content in sponge tissue</p>
http://lod.bco-dmo.org/id/dataset-parameter/955320.rdf
Name: energy
Units: Kilojoules per ml (kJ/ml)
Description: <p>Energy content in sponge tissue</p>
http://lod.bco-dmo.org/id/dataset-parameter/955321.rdf
Name: mean_ChlA
Units: Micrograms of chlorophyll a per gram of sponge tissue (ug chl a/gram of sponge tissue)
Description: <p>Mean chlorophyll a content (from photosynthetic symbionts) in sponge tissue</p>
http://lod.bco-dmo.org/id/dataset-parameter/955322.rdf
Name: inverse_Simpson
Units: unitless
Description: <p>Inverse Simpson’s diversity index for microbiome diversity</p>
http://lod.bco-dmo.org/id/dataset-parameter/955323.rdf
Name: NOx
Units: unitless
Description: <p>Production and release of NOx by sponge species (production or no production)</p>
http://lod.bco-dmo.org/id/dataset-parameter/955324.rdf
Name: pump_Rate
Units: liters per second per liter of sponge tissue
Description: <p>Pumping rate of water through a sponge</p>
http://lod.bco-dmo.org/id/dataset-parameter/955325.rdf
Name: DOC
Units: percentage (%)
Description: <p>Percent dissolved organic carbon in sponge diet</p>
http://lod.bco-dmo.org/id/dataset-parameter/955326.rdf
Name: DET
Units: percentage (%)
Description: <p>Percent detritus in sponge diet</p>
http://lod.bco-dmo.org/id/dataset-parameter/955327.rdf
Name: LPOC
Units: percentage (%)
Description: <p>Percent living particulate organic carbon in diet</p>
http://lod.bco-dmo.org/id/dataset-parameter/955328.rdf
Name: Density
Units: grams per ml (g/ml)
Description: <p>Sponge tissue density</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
9439
https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/cd7060af-3779-4868-9f4f-f10cd1190b4a/content
download
https://doi.org/10.26008/1912/bco-dmo.955245.1
download
onLine
dataset
<p>Data compiled from the source papers for this dataset were generated using the following methods.&nbsp;</p>
<p>Microbial abundance (HMA vs LMA status) is enumerated using a combination of scanning and transmission electron microscopy &nbsp;(Weisz et al., 2007, 2008; Gloeckner et al., 2014); chemical defense allocation patterns and palatability are determined by incorporating chemical extracts from sponges into artificial food cubes that are then fed to generalist fish or fish assemblages on coral reefs&nbsp;(Loh and Pawlik, 2014); nutritional quality and physical characteristics of sponge tissue are determined by combustion of dried and weighed tissue in a muffle furnace at 450 C for 12 hours (ash); measuring the force required to tear tissue (tensile strength); NaOH-solube protein analysis using bovine serum albumen as a standard (protein); TCA-soluble carbohydrate content using glycogen as a standard&nbsp;(carbohydrate); a gravimetric lipid assay; and combustion in a bomb calorimeter for caloric energy content (Chanas and Pawlik, 1995). Photosymbiont abundance (chlorophyll a concentration) is determined by extracting sponge tissue in acetone and using a spectrophotometer to estimate the concentration of this pigment (Erwin and Thacker, 2007; Freeman et al., 2020); microbial community diversity (via the Inverse Simpson's index) is determined via 16S metabarcoding of the microbial symbiont community (Easson and Thacker, 2014; Thomas et al., 2016; Gantt et al., 2019; Freeman et al., 2020); NO<sub>x</sub>&nbsp;production was assessed using <em>ex situ</em> experimental incubations or collections of water before and after passing through the sponge&nbsp;(Southwell et al., 2008); pumping rate is assessed based on the advancement of a dye front in the excurrent water plume or an acoustic Doppler velocimeter&nbsp;(Weisz et al., 2007; 2008; Pawlik et al., 2018); the proportion of carbon obtained from dissolved organic matter, detritus, and living particulate organic matter (DOC, DET, LPOC)&nbsp;is assessed by collection of incurrent (before entering the sponge) and excurrent (after entering the sponge) water, followed by analysis of water samples using a combination of flow cytometry to enumerate cells and high temperature catalytic oxidation to measure DOC&nbsp;&nbsp;(McMurray et al., 2018; Pawlik et al., 2018); and tissue density is measured as dry mass of tissue divided by volume (measured as water displacement)&nbsp;(Weisz et al., 2007; 2008).&nbsp;Lastly, phylogenetic signal analysis was carried out as in Freeman et al., 2020 using Pagel’s K statistic (Pagel, 1999; Münkemüller et al., 2012). This statistic measures phylogenetic dependence of trait data, with K values close to zero indicating phylogenetic independence and a value of one suggesting that traits are distributed as would be expected under Brownian Motion.&nbsp;</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact