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  • 1
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    The @journal of eukaryotic microbiology 51 (2004), S. 0 
    ISSN: 1550-7408
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology
    Notes: . Phytoplankton population dynamics are the result of imbalances between reproduction and losses. Losses include grazing, sinking, and natural mortality. As the importance of microbes in aquatic ecology has been recognized, so has the potential significance of viruses as mortality agents for phytoplankton. The field of algal virus ecology is steadily changing and advancing as new viruses are isolated and new methods are developed for quantifying the impact of viruses on phytoplankton dynamics and diversity. With this development, evidence is accumulating that viruses can control phytoplankton dynamics through reduction of host populations, or by preventing algal host populations from reaching high levels. The identification of highly specific host ranges of viruses is changing our understanding of population dynamics. Viral-mediated mortality may not only affect algal species succession, but may also affect intraspecies succession. Through cellular lysis, viruses indirectly affect the fluxes of energy, nutrients, and organic matter, especially during algal bloom events when biomass is high. Although the importance of viruses is presently recognized, it is apparent that many aspects of viral-mediated mortality of phytoplankton are still poorly understood. It is imperative that future research addresses the mechanisms that regulate virus infectivity, host resistance, genotype richness, abundance, and the fate of viruses over time and space.
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2023-03-25
    Keywords: 64PE393; 64PE393_10CTD; 64PE393_11CTD; 64PE393_12CTD; 64PE393_13CTD; 64PE393_14CTD; 64PE393_15CTD; 64PE393_16CTD; 64PE393_17CTD; 64PE393_18CTD; 64PE393_19CTD; 64PE393_1CTD; 64PE393_20CTD; 64PE393_21CTD; 64PE393_22CTD; 64PE393_23CTD; 64PE393_2CTD; 64PE393_3CTD; 64PE393_4CTD; 64PE393_5CTD; 64PE393_6CTD; 64PE393_7CTD; 64PE393_8CTD; 64PE393_9CTD; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Event label; HCC; Hemiaulus hauckii; Latitude of event; Longitude of event; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; Pelagia; Rhizosolenia; Rhizosolenia clevei; Trichodesmium; Tropical North Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 705 data points
    Location Call Number Limitation Availability
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  • 3
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    Unknown
    PANGAEA
    In:  Supplement to: Bale, Nicole Jane; Villareal, Tracy A; Hopmans, Ellen C; Brussaard, Corina P D; Besseling, Marc; Dorhout, Denise J C; Sinninghe Damsté, Jaap S; Schouten, Stefan (2018): C5 glycolipids of heterocystous cyanobacteria track symbiont abundance in the diatom Hemiaulus hauckii across the tropical North Atlantic. Biogeosciences, 15, 1-13
    Publication Date: 2023-01-13
    Description: TS2Diatom-diazotroph associations (DDAs) include marine heterocystous cyanobacteria found as exosymbionts and endosymbionts in multiple diatom species. Heterocysts are the site of N2 fixation and have thickened cell walls containing unique heterocyst glycolipids which maintain a low oxygen environment within the heterocyst. The endosymbiotic cyanobacterium Richelia intracellularis found in species of the diatom genus Hemiaulus and Rhizosolenia makes heterocyst glycolipids (HGs) which are composed of C30 and C32 diols and triols with pentose (C5) moieties that are distinct from limnetic cyanobacterial HGs with predominantly hexose (C6) moieties. Here we applied a method for analysis of intact polar lipids to the study of HGs in suspended particulate matter (SPM) and surface sediment from across the tropical North Atlantic. The study focused on the Amazon plume region, where DDAs are documented to form extensive surface blooms, in order to examine the utility of C5 HGs as markers for DDAs as well as their transportation to underlying sediments. C30 and C32 triols with C5 pentose moieties were detected in both marine SPM and surface sediments. We found a significant correlation between the water column concentration of these long-chain C5 HGs and DDA symbiont counts. In particular, the concentrations of both the C5 HGs (1-(O-ribose)-3,27,29-triacontanetriol (C5 HG30 triol) and 1-(O-ribose)-3,29,31-dotriacontanetriol (C5 HG32 triol)) in SPM exhibited a significant correlation with the number of Hemiaulus hauckii symbionts. This result strengthens the idea that long-chain C5 HGs can be applied as biomarkers for marine endosymbiotic heterocystous cyanobacteria. The presence of the same C5 HGs in surface sediment provides evidence that they are effectively transported to the sediment and hence have potential as biomarkers for studies of the contribution of DDAs to the paleomarine N cycle.
    Keywords: NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University
    Type: Dataset
    Format: application/zip, 4 datasets
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  • 4
    Publication Date: 2023-03-03
    Keywords: 1-(O-ribose)-3,27,29-triacontanetriol; 1-(O-ribose)-3,29,31-dotriacontanetriol; 64PE393; 64PE393_10CTD; 64PE393_11CTD; 64PE393_12CTD; 64PE393_13CTD; 64PE393_14CTD; 64PE393_15CTD; 64PE393_16CTD; 64PE393_17CTD; 64PE393_18CTD; 64PE393_19CTD; 64PE393_1CTD; 64PE393_20CTD; 64PE393_21CTD; 64PE393_22CTD; 64PE393_23CTD; 64PE393_2CTD; 64PE393_3CTD; 64PE393_4CTD; 64PE393_5CTD; 64PE393_6CTD; 64PE393_7CTD; 64PE393_8CTD; 64PE393_9CTD; Chlorophyll a; CTD/Rosette; CTD-RO; DEPTH, water; Event label; HCC; Latitude of event; Longitude of event; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; Pelagia; Tropical North Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 217 data points
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  • 5
    Publication Date: 2023-03-03
    Keywords: 1-(O-ribose)-3,27,29-triacontanetriol; 1-(O-ribose)-3,27,29-triacontanetriol, standard deviation; 1-(O-ribose)-3,29,31-dotriacontanetriol; 1-(O-ribose)-3,29,31-dotriacontanetriol, standard deviation; 64PE393; 64PE393_10MUC; 64PE393_11MUC; 64PE393_12MUC; 64PE393_13MUC; 64PE393_14MUC; 64PE393_16MUC; 64PE393_17MUC; 64PE393_1MUC; 64PE393_20MUC; 64PE393_21MUC; 64PE393_22MUC; 64PE393_23MUC; 64PE393_3MUC; 64PE393_5MUC; 64PE393_7MUC; 64PE393_8MUC; 64PE393_9MUC; Carbon, organic, total; Carbon, organic, total, standard deviation; DEPTH, sediment/rock; Event label; HCC; Latitude of event; Longitude of event; MUC; MultiCorer; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; Pelagia; Tropical North Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 102 data points
    Location Call Number Limitation Availability
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  • 6
    Publication Date: 2023-07-10
    Keywords: 64PE393; 64PE393_10CTD; 64PE393_11CTD; 64PE393_12CTD; 64PE393_14CTD; 64PE393_15CTD; 64PE393_16CTD; 64PE393_17CTD; 64PE393_18CTD; 64PE393_1CTD; 64PE393_20CTD; 64PE393_21CTD; 64PE393_22CTD; 64PE393_23CTD; 64PE393_2CTD; 64PE393_3CTD; 64PE393_4CTD; 64PE393_5CTD; 64PE393_6CTD; 64PE393_7CTD; 64PE393_8CTD; 64PE393_9CTD; Bacillariophyceae; Chlorophyceae; Chrysophyceae; Cryptophyceae; CTD/Rosette; CTD-RO; DATE/TIME; DEPTH, water; Dinophyceae; Event label; HCC; Latitude of event; Longitude of event; Method comment; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; Pelagia; Prasinophyceae; Prochlorococcus; Prymnesiophyceae; Synechococcus; Tropical North Atlantic
    Type: Dataset
    Format: text/tab-separated-values, 590 data points
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  • 7
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    PANGAEA
    In:  Supplement to: Schulz, Kai Georg; Bellerby, Richard G J; Brussaard, Corina P D; Büdenbender, Jan; Czerny, Jan; Engel, Anja; Fischer, Matthias; Krug, Sebastian; Lischka, Silke; Koch-Klavsen, Stephanie; Ludwig, Andrea; Meyerhöfer, Michael; Nondal, G; Silyakova, Anna; Stuhr, Annegret; Riebesell, Ulf (2013): Temporal biomass dynamics of an Arctic plankton bloom in response to increasing levels of atmospheric carbon dioxide. Biogeosciences, 10(1), 161-180, https://doi.org/10.5194/bg-10-161-2013
    Publication Date: 2023-10-21
    Description: Ocean acidification and carbonation, driven by anthropogenic emissions of carbon dioxide (CO2), have been shown to affect a variety of marine organisms and are likely to change ecosystem functioning. High latitudes, especially the Arctic, will be the first to encounter profound changes in carbonate chemistry speciation at a large scale, namely the under-saturation of surface waters with respect to aragonite, a calcium carbonate polymorph produced by several organisms in this region. During a CO2 perturbation study in 2010, in the framework of the EU-funded project EPOCA, the temporal dynamics of a plankton bloom was followed in nine mesocosms, manipulated for CO2 levels ranging initially from about 185 to 1420 matm. Dissolved inorganic nutrients were added halfway through the experiment. Autotrophic biomass, as identified by chlorophyll a standing stocks (Chl a), peaked three times in all mesocosms. However, while absolute Chl a concentrations were similar in all mesocosms during the first phase of the experiment, higher autotrophic biomass was measured at high in comparison to low CO2 during the second phase, right after dissolved inorganic nutrient addition. This trend then reversed in the third phase. There were several statistically significant CO2 effects on a variety of parameters measured in certain phases, such as nutrient utilization, standing stocks of particulate organic matter, and phytoplankton species composition. Interestingly, CO2 effects developed slowly but steadily, becoming more and more statistically significant with time. The observed CO2 related shifts in nutrient flow into different phytoplankton groups (mainly diatoms, dinoflagellates, prasinophytes and haptophytes) could have consequences for future organic matter flow to higher trophic levels and export production, with consequences for ecosystem productivity and atmospheric CO2.
    Keywords: BIOACID; Biological Impacts of Ocean Acidification
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 8
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    Unknown
    PANGAEA
    In:  Supplement to: Hornick, Thomas; Bach, Lennart Thomas; Crawfurd, Katharine J; Spilling, Kristian; Achterberg, Eric Pieter; Woodhouse, Jason N; Schulz, Kai Georg; Brussaard, Corina P D; Riebesell, Ulf; Grossart, Hans-Peter (2017): Ocean acidification impacts bacteria–phytoplankton coupling at low-nutrient conditions. Biogeosciences, 14(1), 1-15, https://doi.org/10.5194/bg-14-1-2017
    Publication Date: 2024-03-06
    Description: The oceans absorb about a quarter of the annually produced anthropogenic atmospheric carbon dioxide (CO2), resulting in a decrease in surface water pH, a process termed ocean acidification (OA). Surprisingly little is known about how OA affects the physiology of heterotrophic bacteria or the coupling of heterotrophic bacteria to phytoplankton when nutrients are limited. Previous experiments were, for the most part, undertaken during productive phases or following nutrient additions designed to stimulate algal blooms. Therefore, we performed an in situ large-volume mesocosm (ca. 55 m**3) experiment in the Baltic Sea by simulating different fugacities of CO2 (fCO2) extending from present to future conditions. The study was conducted in July?August after the nominal spring bloom, in order to maintain low-nutrient conditions throughout the experiment. This resulted in phytoplankton communities dominated by small-sized functional groups (picophytoplankton). There was no consistent fCO2-induced effect on bacterial protein production (BPP), cell-specific BPP (csBPP) or biovolumes (BVs) of either free-living (FL) or particle-associated (PA) heterotrophic bacteria, when considered as individual components (univariate analyses). Permutational Multivariate Analysis of Variance (PERMANOVA) revealed a significant effect of the fCO2 treatment on entire assemblages of dissolved and particulate nutrients, metabolic parameters and the bacteria?phytoplankton community. However, distance-based linear modelling only identified fCO2 as a factor explaining the variability observed amongst the microbial community composition, but not for explaining variability within the metabolic parameters. This suggests that fCO2 impacts on microbial metabolic parameters occurred indirectly through varying physicochemical parameters and microbial species composition. Cluster analyses examining the co-occurrence of different functional groups of bacteria and phytoplankton further revealed a separation of the four fCO2-treated mesocosms from both control mesocosms, indicating that complex trophic interactions might be altered in a future acidified ocean. Possible consequences for nutrient cycling and carbon export are still largely unknown, in particular in a nutrient-limited ocean.
    Keywords: BIOACID; Biological Impacts of Ocean Acidification; DATE/TIME; Day of experiment; KOSMOS_2012_Tvaerminne; MESO; Mesocosm experiment; Mesocosm label; Prokaryotes, heterotroph, particle associated; Protein production, free-living bacteria; Protein production, particle associated bacteria; SOPRAN; Surface Ocean Processes in the Anthropocene
    Type: Dataset
    Format: text/tab-separated-values, 568 data points
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  • 9
    Publication Date: 2024-03-15
    Keywords: Alkalinity, total; Aragonite saturation state; Baltic Sea; Bicarbonate ion; Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chloroiodomethane; Coast and continental shelf; DATE/TIME; Day of experiment; Dibromochloromethane; Dibromomethane; Diiodomethane; Dimethyl sulfide, dissolved; Dissolved silica, colorimetric (Mullin & Riley, 1955); Entire community; Field experiment; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Iodoethane; Iodomethane; KOSMOS_2012_Tvaerminne; MESO; Mesocosm experiment; Mesocosm label; Mesocosm or benthocosm; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; Phosphorus, inorganic, dissolved; Salinity; Silicate; SOPRAN; Surface Ocean Processes in the Anthropocene; Temperate; Temperature, water; Treatment; Tribromomethane; Type
    Type: Dataset
    Format: text/tab-separated-values, 4098 data points
    Location Call Number Limitation Availability
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  • 10
    Publication Date: 2024-03-15
    Keywords: 19-Butanoyloxyfucoxanthin; 1-Iodoethane; 1-Iodopropane; 2-Iodopropane; Algae, biomass as carbon; Algae, fatty acids; Algae abundance; Alkaline phosphatase; Alkalinity, Gran titration (Gran, 1950); Alkalinity, total; Alloxanthin; alpha-Carotene, beta,epsilon-Carotene; Ammonium; Aphanizophyll; Aragonite saturation state; Arctic; Bacteria; Bacteria, biomass as carbon; Bacteria, fatty acids; Bacteria, high DNA fluorescence; Bacteria, low DNA fluorescence; Bacterial/community respiration, oxygen, ratio; Bacterial biomass production of carbon; Bacterial biomass production of carbon, standard deviation; Bacterial production; Bacterial production, standard deviation; beta-Carotene, beta,beta-Carotene; Bicarbonate ion; BIOACID; Biogenic silica; Biological Impacts of Ocean Acidification; Biomass/Abundance/Elemental composition; Bromochloromethane; Bromoiodomethane; Calanus finmarchicus, δ13C; Calcite saturation state; Calculated; Calculated from linear regression; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, particulate; Carbon, organic, dissolved; Carbon, organic, particulate; Carbon, total, particulate; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, flux per mesocosm; Chloroiodomethane; Chlorophyll a; Chlorophyll a, areal concentration; Chlorophyll b; Chlorophyll c1+c2; Chlorophyll c3; Chlorophytes; Cirripedia, larvae, δ13C; Coast and continental shelf; Community composition and diversity; Coulometry; Cryptophytes; Cyanobacteria, biomass per area; DATE/TIME; delta 13C labeling method; Diadinoxanthin; Diatoxanthin; Dibromochloromethane; Dibromomethane; Diiodomethane; Dimethyl sulfide, dissolved; Dimethylsulfoniopropionate; Entire community; EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; Exudation as determined by 14C DOC production; Exudation as determined by 14C DOC production, standard deviation; Field experiment; Flow cytometry; Fucoxanthin; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Gas chromatography - Mass spectrometry (GC-MS); GC-PFPD; Gross community production of oxygen; Hand-operated CTD (Sea&Sun Technology, CTD 60M); High Performance Liquid Chromatography (HPLC); Identification; Iodomethane; Kongsfjorden-mesocosm; MESO; Mesocosm experiment; Mesocosm or benthocosm; Myxoxanthophyll; Nanoplankton; Neoxanthin; Net community production, standard deviation; Net community production of carbon dioxide; Net community production of oxygen; Nitrate; Nitrite; Nitrogen, organic, dissolved; Nitrogen, organic, particulate; Nitrous oxide; OA-ICC; Ocean Acidification International Coordination Centre; Other metabolic rates; Oxygen; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; Peridinin; pH; Phosphate; Phosphorus, organic, dissolved; Phosphorus, organic, particulate; Phytoplankton, biomass per area; Picophytoplankton; Polar; Prasinoxanthin; Primary production/Photosynthesis; Primary production of POC as determined by 14C POC production; Primary production of POC as determined by 14C POC production, standard deviation; Pulsed flame photometric detector - gas chromatography; Respiration; Respiration, oxygen, bacterial; Respiration, oxygen, bacterial, standard error; Respiration, oxygen, community; Respiration, oxygen, community, standard error; Salinity; Sample comment; Sigmas; Silicon; Svalbard; Temperature, water; Thymidine incorporation; Time, incubation; Transfer velocity, carbon dioxide; Transfer velocity, dimethyl sulfide; Transfer velocity, nitrous oxide; Tribromomethane; Turbidity (Formazin Turbidity Unit); Violaxanthin; Viral abundance; Virus/bacteria ratio; Viruses; Water content of mesocosm; Zeaxanthin; Δδ13C; δ13C, algae; δ13C, bacteria; δ13C, dissolved inorganic carbon; δ13C, dissolved organic carbon; δ13C, particulate organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 35076 data points
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