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  • 2020-2024  (31)
  • 2024  (7)
  • 2022  (24)
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  • 1
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    Effects of Atlantification and changing sea‐ice dynamics on zooplankton community structure and carbon flux between 2000 and 2016 in the eastern Fram Strait (2022)
    John Wiley & Sons, Inc. | Hoboken, USA
    Details
    Publication Date: 2023-12-14
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉The collection of zooplankton swimmers and sinkers in time‐series sediment traps provides unique insight into year‐round and interannual trends in zooplankton population dynamics. These samples are particularly valuable in remote and difficult to access areas such as the Arctic Ocean, where samples from the ice‐covered season are rare. In the present study, we investigated zooplankton composition based on swimmers and sinkers collected by sediment traps at water depths of 180–280, 800–1320, and 2320–2550 m, over a period of 16 yr (2000–2016) at the Long‐Term Ecological Research observatory HAUSGARTEN located in the eastern Fram Strait (79°N, 4°E). The time‐series data showed seasonal and interannual trends within the dominant zooplankton groups including copepoda, foraminifera, ostracoda, amphipoda, pteropoda, and chaetognatha. Amphipoda and copepoda dominated the abundance of swimmers while pteropoda and foraminifera were the most important sinkers. Although the seasonal occurrence of these groups was relatively consistent between years, there were notable interannual variations in abundance, suggesting the influence of various environmental conditions such as sea‐ice dynamic and lateral advection of water masses, for example, meltwater and Atlantic water. Statistical analyses revealed a correlation between the Arctic dipole climatic index and sea‐ice dynamics (i.e., ice coverage and concentration), as well as the importance of the distance from the ice edge on swimmer composition patterns and carbon export.〈/p〉
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: Federal Ministry of Education and Research (BMBF)
    Description: Helmholtz‐Gemeinschaft
    Keywords: ddc:577.7 ; eastern Fram Strait ; sea ice dynamics ; zooplankton population dynamics
    Language: English
    Type: doc-type:article
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    CITATION GEO-LEO
  • 2
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    Effects of Atlantification and changing sea-ice dynamics on zooplankton community structure and carbon flux between 2000 and 2016 in the eastern Fram Strait (2022)
    PANGAEA
    Details
    Publication Date: 2024-02-02
    Description: The collection of zooplankton swimmers and sinkers in time-series sediment traps provides a unique insight into year-round and inter-annual trends in zooplankton population dynamics. Such samples are particularly valuable in remote and difficult to access areas such as the Arctic Ocean, where samples from the ice-covered seasons are rare. In the present study, we investigated zooplankton composition based on swimmers and sinkers collected by sediment traps at water depths of 180-280 m, 800-1320 m, and 2320-2550 m, over a period of 16 years (2000-2016) at the central station of the LTER (Long-Term Ecological Research) HAUSGARTEN observatory in the Fram Strait. The time-series data include the abundance of copepoda, foraminifera, ostracoda, amphipoda, pteropoda, and chaetognatha that were collected in the sediment trap time-series.
    Keywords: Amphipoda, flux; ARK-XVI/2; ARK-XVII/1; ARK-XVIII/1; ARK-XX/1; ARK-XXI/1b; ARK-XXII/1c; ARK-XXIII/2; ARK-XXIV/2; ARK-XXIX/2.2; ARK-XXV/2; ARK-XXVI/2; ARK-XXVII/2; ARK-XXVIII/2; Chaetognatha, flux; Copepoda, flux; DATE/TIME; DEPTH, water; Event label; FEVI1; FEVI10; FEVI13; FEVI16; FEVI18; FEVI2; FEVI20; FEVI22; FEVI24; FEVI26; FEVI28; FEVI3; FEVI30; FEVI32; FEVI7; Foraminifera, flux; FRAM; FRontiers in Arctic marine Monitoring; Hausgarten; HAUSGARTEN 2013; Latitude of event; Longitude of event; Long-term Investigation at AWI-Hausgarten off Svalbard; Maria S. Merian; Mooring (long time); MOORY; MSM02/4; MSM2/787-1, HGIV; MSM29; North Greenland Sea; Ostracoda, flux; Polarstern; Position; PS57; PS57/273-1, HGIV; PS59; PS59/101-1, HGIV; PS62; PS62/179-2, HGIV; PS66; PS66/129-1, HGIV; PS68; PS68/263-1, HGIV; PS70; PS70/218-1, HGIV; PS72; PS72/155-1, HGIV; PS74; PS74/125-2, HGIV; PS76; PS76/147-1, HGIV; PS78; PS78/177-1, HGIV; PS80; PS85; PS85/462-1, HGIV; PS93.2; Pteropoda, flux; sediment trap; Sediment trap; sinkers; swimmers; Zooplankton
    Type: Dataset
    Format: text/tab-separated-values, 3488 data points
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    DATA PANGAEA
  • 3
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    Microbial phyla relative abundance data of Antarctic deep-water sponges collected for microbiome study during expeditions PS96 and JR17003a in the Weddell Sea (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: This dataset provides relative abundances of microbial phyla in Antarctic deep-water sponges (Demospongiae and Hexactinellida), bottom water samples and sediment collected for microbiome analysis during expeditions PS96 (RV Polarstern, 2015/16) and JR17003a (RRS James Clark Ross, 2018) in the Weddell Sea. The microbiome analysis targeted bacteria and was based on 16S rRNA gene sequencing of the V3-V4 variable regions. Sequences were processed using the QIIME2 environment. Amplicon sequence variants (ASVs) were generated with the DADA2 algorithm and classified based on the Silva 132 99% OTUs 16S database. The first column of the table gives the observed microbial phyla; the following columns give the relative abundances of each phylum in each sample (as fraction). The first line includes the sample IDs for sponge, seawater, and sediment samples. Sample IDs for sponges are composed of abbreviations for sponge species: Anoxycalyx joubini (Aj), Inflatella belli (Ib), Isodictya lankesteri (Il), Rossella fibulata (Rf), Rossella nuda (Rn), Rossella racovitzae (Rr), Rossella vanhoeffeni (Rv), Tentorium semisuberites (Ts), and the field ID of each specimen. Sample IDs for seawater (sw) and sediment (sed) indicate the respective station.
    Keywords: 16S rRNA; Agassiz Trawl; AGT; Antarctic; ANT-XXXI/2 FROSN; AWI_BPP; Bentho-Pelagic Processes @ AWI; Bottom trawl; BT; CTD/Rosette; CTD-RO; Demospongiae; Duse Bay; Hexactinellida; James Clark Ross; JR17003a; JR17003A; JR17003A_12; JR17003A_19; JR17003A_42; JR17003A_44; JR17003A_46; microbiome; Polarstern; Prince Gustav Channel; PS96; PS96/006-1; PS96/009-3; PS96/009-4; sequencing; Sponges; Weddell Sea
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 26.1 kBytes
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    DATA PANGAEA
  • 4
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    Metadata and NCBI accession numbers of Antarctic deep-water sponges collected for microbiome study during expeditions PS96 and JR17003a in the Weddell Sea (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-18
    Description: This dataset provides metadata of Antarctic deep-water sponges (Demospongiae and Hexactinellida) and sediment collected for microbiome analysis during expeditions PS96 (RV Polarstern, 2015/16) and JR17003a (RRS James Clark Ross, 2018) in the Weddell Sea. It includes information on sampling locations, number of bacterial sequences and amplicon sequence variants (ASVs), NCBI accession numbers for raw sequencing data, and SMF collection numbers for the sponges archived in the collection of Senckenberg Museum, Frankfurt am Main, Germany.
    Keywords: Accession number, genetics; Agassiz Trawl; AGT; Antarctic; ANT-XXXI/2 FROSN; AWI_BPP; Bentho-Pelagic Processes @ AWI; Bottom trawl; BT; Class; Comment; Cruise/expedition; DATE/TIME; Demospongiae; DEPTH, water; Event label; Family; Gear; Hexactinellida; Identification; James Clark Ross; JR17003a; JR17003A; JR17003A_38; JR17003A_46; JR17003A_52; LATITUDE; LONGITUDE; microbiome; Number of amplicon sequence variants; Number of sequences; Ocean and sea region; Order; Polarstern; Prince Gustav Channel; PS96; PS96/009-3; Sample comment; Sample ID; Sample type; Site; Species; Species, unique identification (URI); Sponges; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 552 data points
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    DATA PANGAEA
  • 5
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    Environmental data and metadata of water samples collected for microbiome study during expeditions PS96 and JR17003a in the Weddell Sea (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-18
    Description: This dataset provides metadata of bottom water samples collected for microbiome analysis during expeditions PS96 (RV Polarstern, 2015/16) and JR17003a (RRS James Clark Ross, 2018) in the Weddell Sea, Antarctica, as well as environmental data of the respective stations. It includes information on sampling locations, number of bacterial sequences and amplicon sequence variants (ASVs), and NCBI accession numbers for raw sequencing data. Environmental data of PS96 stations were obtained from: Schröder, Michael; Ryan, Svenja; Wisotzki, Andreas (2016): Physical oceanography measured on water bottle samples during POLARSTERN cruise PS96 (ANT-XXXI/2 FROSN). Alfred Wegener Institute, Helmholtz Centre for Polar and Marine Research, Bremerhaven, PANGAEA, https://doi.org/10.1594/PANGAEA.859035
    Keywords: Accession number, genetics; Antarctic; ANT-XXXI/2 FROSN; AWI_BPP; Bentho-Pelagic Processes @ AWI; Comment; Cruise/expedition; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Duse Bay; environmental data; Event label; Gear; Height above sea floor/altitude; Identification; James Clark Ross; JR17003a; JR17003A; JR17003A_12; JR17003A_19; JR17003A_42; JR17003A_44; JR17003a_9; LATITUDE; LONGITUDE; microbiome; Number of amplicon sequence variants; Number of sequences; Ocean and sea region; Oxygen; Oxygen saturation; Polarstern; Prince Gustav Channel; PS96; PS96/006-1; PS96/009-4; Salinity; Sample ID; Sample type; Site; Temperature, water; water; Water samples; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 100 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 6
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    Images and microbiome data of Antarctic deep-water sponges (Demospongiae and Hexactinellida) collected during expeditions PS96 and JR17003a in the Weddell Sea, Antarctica (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: Sponges (Porifera) host diverse and species-specific communities of microbial symbionts with which they maintain tight interactions. However, knowledge on the microbiomes of sponges from deep waters and remote polar areas is still scarce, especially for the sponge class Hexactinellida. Therefore, our aim was to describe the community composition, richness and density of microbial symbionts of Antarctic deep-water sponges, including several species of hexactinellids, and relate the findings to host ultrastructure and histology. During the Antarctic expeditions PS96 (RV Polarstern, 2015/16, eastern Weddell Sea) and JR17003a (RRS James Clark Ross, 2018, western Weddell Sea), 28 sponge specimens, bottom water and sediment were sampled for molecular analysis of microbial communities. The sponges were collected from deep habitats of 290-845 m by Bottom Trawl or Agassiz Trawl and comprised 19 hexactinellids and 9 demosponges. Bottom water was collected with a CTD rosette sampler which also measured environmental data (temperature, salinity, oxygen) close to the start or end point of the trawls and at four additional stations. Sediment was collected from the Agassiz trawl together with sponge samples during JR17003a. The molecular microbiome analysis targeted bacteria and was based on 16S rRNA gene sequencing of the V3-V4 variable regions. Sequences were processed using the QIIME2 environment. Amplicon sequence variants (ASVs) were generated with the DADA2 algorithm and classified based on the Silva 132 99% OTUs 16S database. Eight sponge specimens collected during JR17003a were further investigated microscopically for microbial symbionts, sponge histology and ultrastructure. Histological sections of 7-30 µm were stained in either Masson's trichrome or Hematoxylin/Eosin and images captured on a Zeiss Axioskop 2 plus with a QiCam camera using Northern Eclipse software. Ultrastructural sections of 60 nm were stained in uranyl acetate and lead citrate and then viewed and photographed with a Philips Morgagni transmission electron microscope equipped with a Gatan CCD camera. This Data Collection includes sampling information, environmental data, NCBI accession numbers and photographs of the analyzed sponges, data on the microbial symbiont communities (amplicon sequence variants and microbial phyla) of sponges, seawater and sediment, as well as micrographs of sponge histology and ultrastructure.
    Keywords: 16S rRNA; Antarctic; AWI_BPP; Bentho-Pelagic Processes @ AWI; Demospongiae; Hexactinellida; Histology; JR17003a; microbes; microbiome; microscopy; PS96; sequencing; Sponges; ultrastructure; Weddell Sea
    Type: Dataset
    Format: application/zip, 8 datasets
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    DATA PANGAEA
  • 7
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    Amplicon sequence variant (ASV) counts of Antarctic deep-water sponges collected for microbiome study during expeditions PS96 and JR17003a in the Weddell Sea (2024)
    PANGAEA
    Details
    Publication Date: 2024-04-20
    Description: This dataset provides amplicon sequence variant (ASV) counts of Antarctic deep-water sponges (Demospongiae and Hexactinellida), bottom water samples and sediment collected for microbiome analysis during expeditions PS96 (RV Polarstern, 2015/16) and JR17003a (RRS James Clark Ross, 2018) in the Weddell Sea. The microbiome analysis targeted bacteria and was based on 16S rRNA gene sequencing of the V3-V4 variable regions. Sequences were processed using the QIIME2 environment. Amplicon sequence variants (ASVs) were generated with the DADA2 algorithm. The table gives the feature IDs (unique identifier for each ASV), the counts for each ASV in each sample, and total counts for each ASV. The first line includes the sample IDs for sponge, seawater, and sediment samples. Sample IDs for sponges are composed of abbreviations for sponge species: Anoxycalyx joubini (Aj), Inflatella belli (Ib), Isodictya lankesteri (Il), Rossella fibulata (Rf), Rossella nuda (Rn), Rossella racovitzae (Rr), Rossella vanhoeffeni (Rv), Tentorium semisuberites (Ts), and the field ID of each specimen. Sample IDs for seawater (sw) and sediment (sed) indicate the respective station.
    Keywords: 16S rRNA; Agassiz Trawl; AGT; Antarctic; ANT-XXXI/2 FROSN; AWI_BPP; Bentho-Pelagic Processes @ AWI; Bottom trawl; BT; CTD/Rosette; CTD-RO; Demospongiae; Duse Bay; Hexactinellida; James Clark Ross; JR17003a; JR17003A; JR17003A_12; JR17003A_19; JR17003A_42; JR17003A_44; JR17003A_46; microbiome; Polarstern; Prince Gustav Channel; PS96; PS96/006-1; PS96/009-3; PS96/009-4; sequencing; Sponges; Weddell Sea
    Type: Dataset
    Format: application/vnd.openxmlformats-officedocument.spreadsheetml.sheet, 221.5 kBytes
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    DATA PANGAEA
  • 8
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    CTD profiles of the global Deep-sea Sponge Microbiome Project (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: The Deep-sea Sponge Microbiome Project is a large-scale study, integrating 16S amplicon sequencing data with oceanographic data. The present dataset contains 66 full water conductivity-temperature-depth (CTD) profiles which were recorded in different ocean regions world wide. The profiles were trimmed to a starting depth of 20 m below the ocean surface and reach down to ~ 5 m above the ocean floor.
    Keywords: Angeles Alvarino; ANT-XXXI/2 FROSN; Arctic Ocean; ARK-XXX/3; ARK-XXXI/2; Bay of Biscay; Bleiksdjupet; CTD; CTD/Rosette; CTD1; CTD10; CTD12; CTD13; CTD14; CTD15; CTD2; CTD3; CTD4; CTD5; CTD7; CTD8; CTD9; CTD-RO; Deep-sea; Deep-sea Sponge Grounds Ecosystems of the North Atlantic; Event label; G. O. Sars (2003); GS16A-202; GS2016109A; GS2016109A-16-CTD-04; GS2016109A-27-CTD-10; GS2017110; GS2017110-03-CTD-01; GS2017110-04-CTD-02; GS2017110-11-CTD-03; GS2017110-15-CTD-05; GS2017110-26-CTD-08; GS2017110-42-CTD-16; GS2017110-54-CTD-20; GS2017110-67-CTD-23; GS2017110-76-CTD-25; GS2018108; GS2018108-02-CTD-01; GS2018108-05-CTD-02; GS2018108-12-CTD-03; GS2018108-14-CTD-05; GS2018108-22-CTD-07; GS2018108-30-CTD-10; GS2018108-31-CTD-11; GS2018108-37-CTD-12; GS2018108-48-CTD-13; GS2018108-55-CTD-14; GS2018108-62-CTD-15; GS2018108-66-CTD-16; GS2018108-73-CTD-21; GS2018108-77-CTD-24; HUD16/19_392; HUD2016019; Hudson; LATITUDE; LONGITUDE; Maria S. Merian; Martha L. Black; meta-analysis; MLB2017001; MLB2017001_005; MLB2017001_006; MLB2017001_020; MSM86; MSM86_016; MSM86_067; North Greenland Sea; physical data; Polarstern; Pori Bac NewZ; Pressure, water; Profile ID; PS101; PS101/088-1; PS101/170-1; PS101/172-1; PS107; PS107_2-1; PS107_33-1; PS96; PS96/009-4; Remote operated platform for oceanography; Remote operated vehicle; ROPOS; ROPOS 2029; ROPOS 2030; ROPOS 2034; ROV; Salinity; Schultz Bank; SO254; SO254_14-1; SO254_18-1; SO254_2-1; SO254_23-1; SO254_33-1; SO254_34-1; SO254_36-1; SO254_76-1; SO254_77-1; SO254_78-1; SO254_8-1; SO254_81-1; SO254_84-1; SO254_85-1; Sognefjord; Sonne_2; South Atlantic Ocean; South Pacific Ocean; SponGES; SponGES_0617; SPONGES_0617_07-CTD1; SPONGES_0617_12-CTD2; SPONGES_0617_13-CTD3; SPONGES_0617_18-CTD4; SPONGES_0617_19-CTD5; SPONGES_0617_27-CTD7; SPONGES_0617_29-CTD8; SPONGES_0617_40-CTD9; SPONGES_0617_42-CTD10; SPONGES_0617_49-CTD12; SPONGES_0617_55-CTD13; SPONGES_0617_58-CTD14; SPONGES_0617_61-CTD15; Station label; Stjernsund; Sula reef; Temperature, water; Tromsoflaket East; Tromsøflaket; Vesteris; Weddell Sea
    Type: Dataset
    Format: text/tab-separated-values, 313568 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 9
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    Metadata and NCBI-Accession numbers of the global Deep-sea Sponge Microbiome Project (2022)
    PANGAEA
    Details
    Publication Date: 2024-06-10
    Description: The Deep-sea Sponge Microbiome Project is a large-scale study, integrating 16S amplicon sequencing data of seawater, sediment, and sponges, with a large set of ecological and physical metadata. The present dataset includes NCBI-accession numbers, sample collection details, and diverse measurements, adding up to 50 entries for each of the 1546 covered samples.
    Keywords: Accession number, genetics; Ada Rebikoff; Agassiz Trawl; AGT; Alkalinity, total; Anchor dredge; Angeles Alvarino; ANT-XXXI/2 FROSN; Arctic Ocean; Area/locality; ARK-XXVII/2; ARK-XXX/3; ARK-XXXI/2; Azores2018; Bay of Biscay; BC; BEAM; Beam trawl; Bleiksdjupet; Bottle, Niskin; Bottom trawl; Box corer; BT; Campaign; Carbon, inorganic, particulate; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon dioxide, total; Celtic Voyager; Class; Conductivity; CTD; CTD/Rosette; CTD1; CTD10; CTD11; CTD12; CTD13; CTD14; CTD15; CTD2; CTD3; CTD4; CTD5; CTD6; CTD7; CTD8; CTD9; CTD-RO; CV13012; CV13012_A; DATE/TIME; Deep-sea; Deep-sea Sponge Grounds Ecosystems of the North Atlantic; Density, sigma, in situ; DEPTH, water; derived from MODIS remote sensing data; Distance; Dive_041; Dive_042; Dive_043; Dive_044; Dive_045; Dive_046; DIVER; DR10; DR15; DR4; DR7; DR9; Dredge, chain bag; Dredge, rock; Dredge, triangle; DRG_A; DRG_C; DRG_R; Duse Bay; Event label; extracted from GLODAPv2.2020; extracted from the World Ocean Atlas 2018 (WOA18); Family; G. O. Sars (2003); Gear; Genus; Geological feature; Grab; GRAB; GS16A-202; GS2016109A; GS2016109A-01-CTD-01; GS2016109A-06-ROV-01; GS2016109A-09-BC-01; GS2016109A-10-BC-02; GS2016109A-14-CTD-02; GS2016109A-16-CTD-04; GS2016109A-18-CTD-06; GS2016109A-21-BC-05; GS2016109A-24-CTD-07; GS2016109A-26-CTD-09; GS2016109A-27-CTD-10; GS2016109A-28-CTD-11; GS2016109A-32-ROV-05; GS2016109A-33-AGT-01; GS2017110; GS2017110-02-ROV-02; GS2017110-03-CTD-01; GS2017110-04-CTD-02; GS2017110-05-ROV-03; GS2017110-06-ROV-04; GS2017110-08-ROV-05; GS2017110-09-ROV-6; GS2017110-15-CTD-05; GS2017110-16-ROV8; GS2017110-19-ROV10; GS2017110-22-BC-02; GS2017110-23-ROV12; GS2017110-26-CTD-08; GS2017110-28-CTD-10; GS2017110-30-CTD-12; GS2017110-34-ROV-15; GS2017110-40-ROV-18; GS2017110-41-ROV-19; GS2017110-42-CTD-16; GS2017110-44-BC-1; GS2017110-45-BC-2; GS2017110-46-BC-3; GS2017110-47-BC-4; GS2017110-50-CTD-19; GS2017110-54-CTD-20; GS2017110-57-AGT-01; GS2017110-59-CTD-21; GS2017110-60-BC-5; GS2017110-61-BC-6; GS2017110-62-BC-7; GS2017110-63-ROV-24; GS2017110-67-CTD-23; GS2017110-68-ROV-25; GS2017110-71-BC-8; GS2017110-72-BC-9; GS2017110-73-BC-10; GS2017110-74-ROV-26; GS2018108; GS2018108-01-ROV-01; GS2018108-02-CTD-01; GS2018108-03-ROV-02; GS2018108-04-ROV-03; GS2018108-05-CTD-02; GS2018108-07-ROV-05; GS2018108-08-ROV-06; GS2018108-12-CTD-03; GS2018108-13-CTD-04; GS2018108-14-CTD-05; GS2018108-17-AGT-01; GS2018108-19-ROV-12; GS2018108-22-CTD-07; GS2018108-23-ROV-15; GS2018108-25-ROV-17; GS2018108-29-CTD-09; GS2018108-30-CTD-10; GS2018108-31-CTD-11; GS2018108-34-ROV-22; GS2018108-37-CTD-12; GS2018108-39-ROV-26; GS2018108-43-ROV-30; GS2018108-44-ROV-31; GS2018108-46-ROV-33; GS2018108-48-CTD-13; GS2018108-55-CTD-14; GS2018108-58-ROV-43; GS2018108-62-CTD-15; GS2018108-63-ROV-47; GS2018108-64-ROV-48; GS2018108-66-CTD-16; GS2018108-70-ROV-50; GS2018108-77-CTD-24; GS2018108-78-ROV-52; GS2018108-79-ROV-53; Gulf of Bothnia, Baltic sea; H045_A; Hans Brattström; HB2016952; HB2016952_2; HB2016952_5; HB2016952_6; HB2016952_7; HB2016952_8; HB27102017_A; HB27102017_B; HB27102017_C; HB27102017a; HB27102017b; HUD16/19_010; HUD16/19_012; HUD16/19_013; HUD16/19_018; HUD16/19_020; HUD16/19_383; HUD16/19_387; HUD16/19_391; HUD16/19_392; HUD16/19_395; HUD2016019; Hudson; Identification; James Clark Ross; JR17003A; JR17003A_12; JR17003A_19; JR17003A_42; JR17003A_44; JR17003A_46-1; KB2017610; KB2017610_CTD7; KB2017610_KB-28; KB2017610_KB-32; KB2017610_KB-60; KB2017610_KB-61; KB2017610_ROV9; Korsfjord; Kristine Bonnevie; LATITUDE; LONGITUDE; LULA0718_Dive1; LULA0718_Dive2; LULA0718_Dive3; Malangsgrunnen; Maria S. Merian; Martha L. Black; meta-analysis; microbes; MLB2017001; MLB2017001_004; MLB2017001_005; MLB2017001_006; MLB2017001_015; MLB2017001_017; MLB2017001_020; MOOR; Mooring; MSM86; MSM86_006; MSM86_008; MSM86_009; MSM86_010; MSM86_012; MSM86_013; MSM86_015; MSM86_016; MSM86_019; MSM86_021; MSM86_022; MSM86_027; MSM86_028; MSM86_031; MSM86_032; MSM86_034; MSM86_035; MSM86_036; MSM86_038; MSM86_040; MSM86_041; MSM86_052; MSM86_054; MSM86_061; MSM86_062; MSM86_063; MSM86_067; MSM86_080; MSM86_081; MSM86_083; MSM86_086; MSM86_088; MSM86_090; MSM86_091; MSM86_094; MSM86_101; MSM86_106; Multicorer with television; NIS; Nitrate; Nitrogen, total dissolved; Nitrogen/Phosphorus ratio; North Greenland Sea; ocean; Ocean; Order; OT; OTNMoor_275; Otter trawl; Oxygen, apparent utilization; Oxygen, dissolved; Oxygen saturation; PAA2014007; PAA2014007_003; PAA2014007_056; PAA2014007_068; PAA2014007_070; PAA2014007_078; PAA2014007_079; PAA2014007_088; PAA2014007_110; PAA2014007_120; PAA2014007_123; PAA2014007_124; PAA2014007_125; PAA2014007_131; PAA2014007_133; PAA2014007_136; Paamiut; pH; Phosphate; Phylum; Polarstern; Pori Bac NewZ; Pressure, water; Prince Gustav Channel; Profile ID; Project; PS101; PS101/088-1; PS101/092-1; PS101/093-1; PS101/094-1; PS101/123-1; PS101/154-1; PS101/155-1; PS101/170-1; PS101/172-1; PS101/193-1; PS101/194-1; PS101/196-1; PS101/197-1; PS101/198-1; PS101/200-1; PS101/208-1; PS101/216-1; PS107; PS107_2-1; PS107_33-1; PS107_47-1; PS107_6-3; PS80; PS80/176-9; PS80/192-1; PS96; PS96/006-1; PS96/009-3; PS96/009-4; Realm; Remote operated platform for oceanography; Remote operated vehicle; ROPOS; ROPOS 2028; ROPOS 2029; ROPOS 2030; ROPOS 2034; ROV; Salinity; Sample type; Sampling by diver; Schultz Bank; Scotia; Scotia_0915S; Scotia_0915S_A; Scotia_0915S_B; Scotia_0915S_C; Scotia_0915S_D; Sea surface chlorophyll a; seawater; sediment; Silicate; Silicon/Phosphorus ratio; SO254; SO254_10-1; SO254_1-1; SO254_14-1; SO254_18-1; SO254_2-1; SO254_22-1; SO254_23-1; SO254_33-1; SO254_34-1; SO254_36-1; SO254_69-1; SO254_76-1; SO254_77-1; SO254_78-1; SO254_79-1; SO254_8-1; SO254_81-1; SO254_84-1; SO254_85-1; SO254_diver; Sognefjord; Sonne_2; South Atlantic Ocean; South Pacific Ocean; Species; sponge; SponGES; SponGES_0617; SPONGES_0617_04-DR4; SPONGES_0617_06-BT2; SPONGES_0617_07-CTD1; SPONGES_0617_09-DR5; SPONGES_0617_10-DR6; SPONGES_0617_12-CTD2; SPONGES_0617_13-CTD3; SPONGES_0617_15-DR7; SPONGES_0617_18-CTD4; SPONGES_0617_19-CTD5; SPONGES_0617_20-BT3; SPONGES_0617_23-DR9; SPONGES_0617_24-CTD6; SPONGES_0617_26-BT4; SPONGES_0617_27-CTD7; SPONGES_0617_28-DR10; SPONGES_0617_29-CTD8; SPONGES_0617_37-DR11; SPONGES_0617_38-DR12; SPONGES_0617_40-CTD9; SPONGES_0617_41-BT5; SPONGES_0617_42-CTD10; SPONGES_0617_43-BC1; SPONGES_0617_45-BC2; SPONGES_0617_46-CTD11; SPONGES_0617_47-BT6; SPONGES_0617_48-DR14; SPONGES_0617_49-CTD12; SPONGES_0617_50-BT7; SPONGES_0617_52-BT9; SPONGES_0617_53-BC3M1; SPONGES_0617_54-BT10; SPONGES_0617_55-CTD13; SPONGES_0617_56-BT11; SPONGES_0617_57-BT12; SPONGES_0617_58-CTD14; SPONGES_0617_59-BC4M1; SPONGES_0617_60-DR15; SPONGES_0617_61-CTD15; SPONGES_0617_63-DR16; Station label; Stjernsund; SUB; Submersible; Sula reef; TAD; Television-Grab; Temperature, water; Tromsoflaket East; Tromsøflaket; TVG; TVMUC; Uniform resource locator/link to reference; Vesteris; Water bodies; Weddell Sea; Zone
    Type: Dataset
    Format: text/tab-separated-values, 54242 data points
    Location Call Number Limitation Availability
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    DATA PANGAEA
  • 10
    facet.materialart.
    Unknown
    Stability of a dominant sponge‐symbiont in spite of antibiotic‐induced microbiome disturbance (2022)
    Wiley
    Details
    Publication Date: 2024-02-07
    Description: Marine sponges are known for their complex and stable microbiomes. However, the lack of a gnotobiotic sponge-model and experimental methods to manipulate both the host and the microbial symbionts currently limit our mechanistic understanding of sponge-microbial symbioses. We have used the North Atlantic sponge species Halichondria panicea to evaluate the use of antibiotics to generate gnotobiotic sponges. We further asked whether the microbiome can be reestablished via recolonization with the natural microbiome. Experiments were performed in marine gnotobiotic facilities equipped with a custom-made, sterile, flow-through aquarium system. Bacterial abundance dynamics were monitored qualitatively and quantitatively by 16 S rRNA gene amplicon sequencing and qPCR, respectively. Antibiotics induced dysbiosis by favouring an increase of opportunistic, antibiotic-resistant bacteria, resulting in more complex, but less specific bacteria-bacteria interactions than in untreated sponges. The abundance of the dominant symbiont, Candidatus Halichondribacter symbioticus, remained overall unchanged, reflecting its obligately symbiotic nature. Recolonization with the natural microbiome could not reverse antibiotic-induced dysbiosis. However, single bacterial taxa that were transferred, successfully recolonized the sponge and affected bacteria-bacteria interactions. By experimentally manipulating microbiome composition, we could show the stability of a sponge-symbiont clade despite microbiome dysbiosis. This study contributes to understanding both host-bacteria and bacteria-bacteria interactions in the sponge holobiont.
    Type: Article , PeerReviewed
    Format: text
    Format: text
    Format: other
    Location Call Number Limitation Availability
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    OceanRep: Article in a Scientific Journal - peer-reviewed
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