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  • 2020-2024  (13)
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  • 1
    Publication Date: 2023-04-01
    Description: We applied metagenomic shotgun sequencing to a sedimentary ancient DNA (sedaDNA) record from the North Pacific (off Kamchatka) covering the last 20,000 years to trace temporal changes in ecosystem composition and food webs. This dataset contains count data before re-sampling for (1) phototrophic bacterial and eukaryotic pelagic families, (2) and eukaryotic benthic families, and (3) a list of families, their grouping into habitat (pelagic/benthic) and trophic status (phototrophic/heterotrophic), the taxonomic group to which the family belongs, the resampled number of read counts used for the formal analysis, links (edges) in the pelagic network, and Spearman correlation coefficients (ρ〉0.2) and Benjamini-Hochberg adjusted p-values between families and environmental variables (SSTs and IP25). Associated sequencing data, on which the taxonomic classifications are based on, can be found at the European Nucleotide Archive (ENA) under BIOPROJECT: PRJEB46821.
    Keywords: AWI_Envi; Polar Terrestrial Environmental Systems @ AWI
    Type: Dataset
    Format: application/zip, 3 datasets
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2023-06-27
    Keywords: Algae & Protists; AWI_Envi; Calculated; Coefficient; Counts; Ecology & Environment; Family; Habitat; IP25 adjusted p-value; IP25 Spearman's rho; KALMAR II; Kronotsky Peninsula; Number; PC; Piston corer; Polar Terrestrial Environmental Systems @ AWI; p-value; SO201/2; SO201-2-12KL; Sonne; SST adjusted p-value; SST Spearman's rho; Taxon/taxa
    Type: Dataset
    Format: text/tab-separated-values, 1277 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2023-08-02
    Keywords: Acanthasteridae; Acroporidae; Actiniidae; Agaraceae; AGE; Aglajidae; Aiptasiidae; Alariaceae; Alcyoniidae; Algae & Protists; Allocrangonyctidae; Ammotheidae; Ampullariidae; Aplysiidae; Aporocotylidae; Arcidae; Ascidiidae; Asellidae; Asteriidae; Asterinidae; AWI_Envi; Balanidae; Bangiaceae; Batrachospermaceae; Boldiaceae; Buccinidae; Camaenidae; Capitellidae; Cardiidae; Ceramiaceae; Cercomonadidae; Champiaceae; Chordaceae; Chordariaceae; Cionidae; Clausiliidae; Comatulidae; Conidae; Corallinaceae; Cyanidiaceae; Cypridinidae; Daphniidae; Dasyaceae; Delesseriaceae; Dictyotaceae; Didiniidae; Dixoniellaceae; Dugesiidae; Echinometridae; Ecology & Environment; Ectocarpaceae; Edwardsiidae; Endocladiaceae; Erythrotrichiaceae; Fucaceae; Galaxauraceae; Gelidiaceae; Gigartinaceae; Gracilariaceae; Haliotidae; Halymeniaceae; Harpacticidae; Hildenbrandiaceae; Holostichidae; Hyalellidae; Hyalidae; Hydractiniidae; Kallymeniaceae; KALMAR II; Kronotsky Peninsula; Laminariaceae; Laqueidae; Lessoniaceae; Liagoraceae; Limulidae; Lingulidae; Littorinidae; Lottiidae; Lumbricidae; Lymnaeidae; Lysianassidae; Macrostomidae; Mactridae; Maldanidae; Mastigamoebidae; Megascolecidae; Merulinidae; Molgulidae; Muricidae; Mytilidae; Nephropidae; Nephtheidae; Nereididae; Niphatidae; Oikopleuridae; Ostreidae; Oxystominidae; Palaemonidae; Palmariaceae; Parastacidae; PC; Pectinidae; Penaeidae; Peyssonneliaceae; Philasteridae; Philodinidae; Phyllophoraceae; Piston corer; Pocilloporidae; Polar Terrestrial Environmental Systems @ AWI; Pollicipedidae; Porphyridiaceae; Portunidae; Priapulidae; Protaspidae; Pteriidae; Pterocladiaceae; Pyuridae; Raperosteliaceae; Rhodochaetaceae; Rhodogorgonaceae; Rhodomelaceae; Rhodymeniaceae; Rhytididae; Rossellidae; Sargassaceae; Scalibregmatidae; Schizymeniaceae; Scytosiphonaceae; Sebdeniaceae; Serpulidae; Sertulariidae; Shotgun counts; Siboglinidae; SO201/2; SO201-2-12KL; Solecurtidae; Solieriaceae; Sonne; Spionidae; Stichopodidae; Strongylocentrotidae; Styelidae; Stylonemataceae; Suberitidae; Tellinidae; Tetragonicipitidae; Trichoplacidae; Unionidae; Varunidae; Veneridae; Vesicomyidae; Wrangeliaceae; Zosteraceae
    Type: Dataset
    Format: text/tab-separated-values, 3525 data points
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2023-07-10
    Keywords: Acanthocerataceae; Acartiidae; Acaryochloridaceae; Acipenseridae; Adinetidae; AGE; Algae & Protists; Amoebophryaceae; Amphipleuraceae; Anarhichadidae; Anaulaceae; Anguillidae; Anomoeoneidaceae; Aphanizomenonaceae; Aphanothecaceae; Apogonidae; Apusomonadidae; Asellidae; Attheyaceae; AWI_Envi; Bacillariaceae; Balaenidae; Balaenopteridae; Bathycoccaceae; Batrachoididae; Biddulphiaceae; Blenniidae; Bovichtidae; Brachionidae; Bracteacoccaceae; Bryopsidaceae; Calanidae; Callorhinchidae; Calotrichaceae; Carangidae; Carcharhinidae; Caulerpaceae; Chaetocerotaceae; Chaetophoraceae; Chamaesiphonaceae; Channichthyidae; Characeae; Chattonellaceae; Chlamydomonadaceae; Chlorellaceae; Chlorobiaceae; Chlorococcaceae; Chlorocystidaceae; Chlorodendraceae; Chloroflexaceae; Chloropicaceae; Chromeraceae; Chromulinaceae; Chroococcaceae; Chroococcidiopsidaceae; Chroomonadaceae; Chrysochromulinaceae; Cirratulidae; Closteriaceae; Clupeidae; Codiaceae; Coelacanthidae; Coleochaetaceae; Coleofasciculaceae; Collodictyonidae; Collophidiidae; Collosphaeridae; Collozoidae; Coscinodiscaceae; Cottidae; Cryptomonadaceae; Cyaneidae; Cyanidiaceae; Cyanophoraceae; Cyanothecaceae; Cyclopettidae; Cyclopteridae; Cymatosiraceae; Delphinidae; Dermocarpellaceae; Desmidiaceae; Diplonemidae; Dunaliellaceae; Ebriacea; Ecology & Environment; Eirenidae; Engraulidae; Entomoneidaceae; Eucalanidae; Euglenaceae; Eunotiaceae; Euphausiidae; Euplotidae; Eustigmataceae; Fonticulaceae; Fragilariaceae; Fundulidae; Gadidae; Gasterosteidae; Geminigeraceae; Ginglymostomatidae; Glaucocystaceae; Globorotaliidae; Gloeobacteraceae; Gloeochaetaceae; Gloeomargaritaceae; Gobiidae; Golenkiniaceae; Gomontiellaceae; Gomphonemataceae; Gonatozygaceae; Gonyaulacaceae; Gymnodiniaceae; Haematococcaceae; Halimedaceae; Hapalosiphonaceae; Heliobacteriaceae; Heliopeltaceae; Hemiaulaceae; Hemidiscaceae; Hemiselmidaceae; Heterocapsaceae; Hexamitidae; Histionidae; Holocentridae; Hydridae; Hydrodictyaceae; Hyellaceae; Isochrysidaceae; Jakobidae; KALMAR II; Kareniaceae; Klebsormidiaceae; Koliellaceae; Kronotsky Peninsula; Kryptoperidiniaceae; Lateolabracidae; Leptocylindraceae; Leptolyngbyaceae; Licmophoraceae; Lipotidae; Lithodesmiaceae; Mallomonadaceae; Mamiellaceae; Merismopediaceae; Mesodiniidae; Mesotaeniaceae; Metopidae; Metridinidae; Microcoleaceae; Microcystaceae; Microsporaceae; Microthamniaceae; Moinidae; Monodontidae; Monodopsidaceae; Monomastigaceae; Mustelidae; Mychonastaceae; Myctophidae; Myxinidae; Naviculaceae; Nephroselmidaceae; Noelaerhabdaceae; Nostocaceae; Octopodidae; Oculatellaceae; Odobenidae; Oedogoniaceae; Oithonidae; Oocystaceae; Oscillatoriaceae; Osmeridae; Ostreobiaceae; Otariidae; Oxytrichidae; Palmellaceae; Palmophyllaceae; Paralichthyidae; Parameciidae; Paulinellidae; Pavlovaceae; PC; Pedinomonadaceae; Pelagiidae; Perkinsidae; Petromyzontidae; Pfiesteriaceae; Phacaceae; Phaeocystaceae; Phaeodactylaceae; Phocidae; Phocoenidae; Physeteridae; Piston corer; Plagiogrammaceae; Pleurastraceae; Pleuronectidae; Pleurosigmataceae; Polar Terrestrial Environmental Systems @ AWI; Polynoidae; Prasinococcaceae; Prasiolaceae; Prochloraceae; Prochlorotrichaceae; Prorocentraceae; Protoperidiniaceae; Prymnesiaceae; Pseudanabaenaceae; Pycnococcaceae; Pyramimonadaceae; Pyrenomonadaceae; Pyrocystaceae; Radiococcaceae; Rajidae; Rhincodontidae; Rhizosoleniaceae; Rivulariaceae; Roseiflexaceae; Rotaliidae; Sagittidae; Salmonidae; Salpingoecidae; Sarcinofilaceae; Scenedesmaceae; Sciaenidae; Scyliorhinidae; Scytonemataceae; Sebastidae; Selenastraceae; Serranidae; Shotgun counts; Siphonocladaceae; Skeletonemataceae; SO201/2; SO201-2-12KL; Sonne; Sparidae; Sphaeropleaceae; Sphaerozoidae; Staurosiraceae; Stephanodiscaceae; Stephanoecidae; Sticholonchidae; Stigonemataceae; Strombidiidae; Suessiaceae; Symbiodiniaceae; Syndiniaceae; Synechococcaceae; Syngnathidae; Temoridae; Terebellidae; Tetrahymenidae; Tetraodontidae; Thalassiosiraceae; Thaumatomastigidae; Thraustochytriaceae; Tolypothrichaceae; Toxariaceae; Trebouxiaceae; Triceratiaceae; Trichiuridae; Triparmaceae; Ulmaridae; Ulnariaceae; Ulotrichaceae; Ulvaceae; Uronemataceae; Vacuolariaceae; Vahlkampfiidae; Volvocaceae; Zygnemataceae
    Type: Dataset
    Format: text/tab-separated-values, 6500 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2024-06-12
    Description: Southern Ocean organisms are thought to be particularly vulnerable to ocean acidification, as they inhabit cold waters where calcite-aragonite saturation states are naturally low. It is also generally assumed that calcifying animals would be more affected by ocean acidification than non-calcifying ones. In this context, we aimed to study the impacts of reduced pH on the ascidia Cnemidocarpa verrucosa sp. A. Here, we used gene expression profiling and enzymatic activity to study the responses of that Antarctic benthic species to ocean acidification. We sampled Cnemidocarpa verrucosa sp. A. by scuba diving at approximately 15 m depth at Carlini station, Potter Cove, King George Island, Antarctica. Superoxide dismutase (SOD) activity was measured in the ascidia, samples (approximately 70 mg of brachial basket) were homogenized in 20 mM Tris-HCl, 1 mM EDTA, pH 7.6, with a ratio 1:4 w/v. Homogenates were centrifuged at 14,000 x g for 3 min at 4°C and the supernatant was used to measure SOD activity at 20°C following Livingstone et al. (1992) protocol. Supernatant was mixed with the measurement buffer (43 mM K₂HPO₄, 43 mM KH₂PO₄, 0.1 mM EDTA, pH 7.68), 5 mM Xanthina (Sigma X-0626), 100 µM Citocromo-C (Sigma C-2037), 0.3 mU/µl XOD (Xanthin-Oxidasa, Sigma X-4875) in 2 M (NH₄)2SO₄. The measurement was made in a photometer at 20°C, 550 nm wavelength, for 3 minutes, every 10 seconds. For the calculations, the total protein content of the samples was measured using the method of Bradford (1976). Superoxide dismutase activity was expressed in activity in the extract (mU) / amount of protein (mg). All measurements were made in triplicate.
    Keywords: Ant_PotterCove_2015; Antarctica; apoptosis; Apoptotic activity, per protein; Background corrected; Calculated average/mean values; Caspase; Cnemidocarpa verrucosa sp. A; Date/time end, experiment; Date/time start, experiment; DIVER; Event label; laboratory study; Potter Cove; Potter Cove, King George Island, Antarctic Peninsula; Sample code/label; Sampling by diver; Species; Spectrophotometer UV/Vis, Beckman Coulter, DU800; Superoxide Dismutase; Temperature, water; Treatment; Tunicata; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 476 data points
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2024-06-12
    Description: Southern Ocean organisms are thought to be particularly vulnerable to ocean acidification, as they inhabit cold waters where calcite-aragonite saturation states are naturally low. It is also generally assumed that calcifying animals would be more affected by ocean acidification than non-calcifying ones. In this context, we aimed to study the impacts of reduced pH on the ascidia Cnemidocarpa verrucosa sp. A. Here, we used gene expression profiling and enzymatic activity to study the responses of that Antarctic benthic species to ocean acidification. We sampled Cnemidocarpa verrucosa sp. A. by scuba diving at approximately 15 m depth at Carlini station, Potter Cove, King George Island, Antarctica. Caspases 3/7 activity as indicators of apoptosis intensity was measured using the Caspase-Glow 3/7 Assay kit (Promega, USA) following the manufacturer's instructions. Samples were homogenized (16-33 mg) in lysis buffer consisting in 25 mM HEPES, 5 mM MgCl₂·6H₂O, 1 mM EGTA, 1 μg/mL pepstatin, 1 μg/mL leupectin, and 1 μg/mL aprotinin at a ratio 1:100 (Rivera-Ingraham et al., 2013) using a Precellys homogenizer (2 cycles at 5,500 x g at 4°C for 20 s). Homogenates were centrifuged at 13,000 x g at 4°C for 15 min and the supernatant was used to measure luminescence using Tristar LB941 plate reader (Berthold Technologies GmbH & Co. KG, Bad Wildbad, Germany). The total protein content of the samples was measured using the method of Bradford (1976). Caspase/Apoptotic activity was expressed as relative light units (RLU) per μg of protein × 104.
    Keywords: Ant_PotterCove_2015; Antarctica; apoptosis; Bradford method (1976); Buffer; Calculated; Calculated average/mean values; Caspase; Change of extinction; Cnemidocarpa verrucosa, superoxide dismutase, in extract; Cnemidocarpa verrucosa, superoxide dismutase, per protein mass; Cnemidocarpa verrucosa, superoxide dismutase, per wet mass; Cnemidocarpa verrucosa sp. A; Date/time end, experiment; Date/time start, experiment; DIVER; Event label; laboratory study; Potter Cove; Potter Cove, King George Island, Antarctic Peninsula; Proteins; Sample, wet mass; Sample code/label; Sample volume; Sampling by diver; Species; Spectrophotometer UV/Vis, Beckman Coulter, DU800; Temperature, water; Treatment; Tunicata; Type of study
    Type: Dataset
    Format: text/tab-separated-values, 527 data points
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2024-06-12
    Description: In a mechanistic investigation of heat stress, heterosis (hybrid vigour), and underlying gene expression patterns, we assessed the thermal performance of inbred (selfings) and outbred (reciprocal crosses) sporophytes of the N-Atlantic kelp Laminaria digitata among clonal isolates from two divergent populations; one from the temperate North Sea (Helgoland) and one from the Arctic (Spitsbergen). First, we investigated the upper thermal tolerance of microscopic sporophytes in a 14-day experiment applying sublethal to lethal 20–23°C. We then subjected 4–7 cm long sporophytes to a control temperature (10°C), moderate (19°C) and sublethal to lethal heat stress (20.5°C) for 18 days to assess the physiological parameters growth and optimum quantum yield.
    Keywords: Arctic; Biological sample; BIOS; gametogenesis; growth; Helgoland_L_digitata_culture; Laboratory experiment; North Sea; quantum yield; Spitsbergen_L_digitata_culture; Survival; Temperate
    Type: Dataset
    Format: application/zip, 13.6 kBytes
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  • 8
    Publication Date: 2024-02-07
    Description: Sea ice is a key factor for the functioning and services provided by polar marine ecosystems. However, ecosystem responses to sea-ice loss are largely unknown because time-series data are lacking. Here, we use shotgun metagenomics of marine sedimentary ancient DNA off Kamchatka (Western Bering Sea) covering the last ~20,000 years. We traced shifts from a sea ice-adapted late-glacial ecosystem, characterized by diatoms, copepods, and codfish to an ice-free Holocene characterized by cyanobacteria, salmon, and herring. By providing information about marine ecosystem dynamics across a broad taxonomic spectrum, our data show that ancient DNA will be an important new tool in identifying long-term ecosystem responses to climate transitions for improvements of ocean and cryosphere risk assessments. We conclude that continuing sea-ice decline on the northern Bering Sea shelf might impact on carbon export and disrupt benthic food supply and could allow for a northward expansion of salmon and Pacific herring.
    Type: Article , PeerReviewed
    Format: text
    Format: text
    Format: other
    Format: other
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  • 9
    Publication Date: 2024-04-05
    Description: Current global warming results in rising sea-water temperatures, and the loss of sea ice in arctic and subarctic oceans impacts the community composition of primary producers with cascading effects on the food web and potentially on carbon export rates. This study analyzes metagenomic shotgun and diatom rbcL amplicon-sequencing data from sedimentary ancient DNA (sedaDNA) of the subarctic western Bering Sea that records phyto- and zooplankton community changes over the last glacial–interglacial cycle, including the last interglacial period (Eemian). Our data show that interglacial and glacial plankton communities differ, with distinct Eemian and Holocene plankton communities. The generally warm Holocene period is dominated by pico-sized cyanobacteria and bacteria-feeding heterotrophic protists, while the Eemian period is dominated by eukaryotic pico-sized chlorophytes and Triparmaceae. In contrast, the glacial period is characterized by micro-sized phototrophic protists, including sea-ice associated diatoms in the family Bacillariaceae and co-occurring diatom-feeding crustaceous zooplankton. Our deep-time record of plankton community changes reveals a long-term decrease in phytoplankton cell size coeval with increasing temperatures, and resembling community changes in the currently warming Bering Sea. The phytoplankton community in the warmer-than-present Eemian period is distinct from modern communities and limits the use of the Eemian as an analog for future climate scenarios. However, under enhanced future warming, the expected shift towards the dominance of small-sized phytoplankton and heterotrophic protists might result in an increased productivity, whereas the community’s potential of carbon export will be decreased, thereby weakening the subarctic Bering Sea’s function as an effective carbon sink.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 10
    Publication Date: 2023-03-13
    Description: Kelps, the marine forest foundation species, are threatened by ocean warming at their warm distributional edges. To mechanistically investigate inheritance of thermal traits, we assessed thermal tolerance of inbred (selfings) and outbred (crosses) sporophytes of the N-Atlantic kelp Laminaria digitata among isolates from the genetically distinct populations of Helgoland (North Sea) and Spitsbergen (Arctic). First, we investigated the upper thermal tolerance of microscopic sporophytes in a 14-day experiment applying 20–23°C. The upper survival temperature was lower for the Spitsbergen selfing (21°C) than for the Helgoland selfing and the reciprocal crosses (22°C). We then subjected 4–7 cm long sporophytes to a control temperature (10°C), moderate (19°C) and sub-lethal heat stress (20.5°C) to assess metabolic regulation via whole-transcriptome analysis in addition to physiological parameters. Growth and optimum quantum yield decreased similarly in both crosses and the Helgoland selfing at 19 and 20.5°C, while inbred Spitsbergen sporophytes died within seven days at both 19 and 20.5°C. At 10°C, the Spitsbergen selfing showed the highest differential gene expression. Considering only the three surviving lineages at 20.5°C, differential gene expression was 61–78% lower in the crosses compared to the Helgoland selfing, including reduced expression of transcripts related to cellular stress responses. This implies that both intraspecific crosses maintained a growth response similar to the Helgoland selfing with reduced metabolic regulation during sublethal heat stress, indicating subtle heterosis (hybrid vigour) as a beneficial effect of outbreeding. Results are discussed in the frame of mariculture and marine forest restoration.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev , info:eu-repo/semantics/conferenceObject
    Format: application/pdf
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