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  • 1
    Online Resource
    Online Resource
    Milton :Taylor & Francis Group,
    Keywords: Microbial ecology-Methodology-Handbooks, manuals, etc. ; Electronic books.
    Description / Table of Contents: Handbook of Methods in Aquatic Microbial Ecology is a comprehensive compilation of methods that a researcher, whether experienced or novice, might consider in applying to aquatic microbial ecology problems.
    Type of Medium: Online Resource
    Pages: 1 online resource (794 pages)
    Edition: 1st ed.
    ISBN: 9781351442367
    DDC: 576/.192
    Language: English
    Note: Cover -- Title Page -- Copyright Page -- CONTRIBUTOR LIST -- Table of Contents -- Introduction -- Section I: Isolation of Living Cells -- 1: Isolation and Enumeraton of Anaerobic and Microaerophilic Bacteria in Aquatic Habitats -- 2: Isolation and Cultivation of Hyperthermophilic Bacteria from Marine and Freshwater Habitats -- 3: Isolation of Psychrophilic Bacteria -- 4: Isolation and Characterization of Bactériocytes from a Bivalve-Sulfur Bacterium Symbiosis -- 5: General Techniques for the Isolation and Culture of Marine Protists from Estuarine, Littoral, Psammolittoral, and Sublittoral Waters -- 6: Long-Term Culture of Marine Benthic Protists -- 7: Behavior and Bioenergetics of Anaerobic and Microaerobic Protists -- 8: Culturing Free-Living Marine Phagotrophic Dinoflagellates -- 9: Enrichment, Isolation, and Culture of Free-Living Heterotrophic Flagellates -- 10: Determination of Pressure Effects on Flagellates Isolated from Surface Waters -- 11: Isolation, Cloning, and Axetiic Cultivation of Marine Ciliates -- 12: Isolation and Laboratory Culture of Marine Oligotrichous Ciliates -- 13: Extraction of Protists in Aquatic Sediments via Density Gradient Centrifugation -- Section II: Identification, Enumeration, and Diversity -- 14: Statistical Analysis of Direct Counts of Microbial Abundance -- 15: Enumeration and Isolation of Viruses -- 16: Total Count of Viruses in Aquatic Environments -- 17: Improved Sample Preparation for Enumeration of Aggregated Aquatic Substrate Bacteria -- 18: Direct Estimates of Bacterial Numbers in Seawater Samples Without Incurring Cell Loss Due to Sample Storage -- 19: Total and Specific Bacterial Counts by Simultaneous Staining with DAPI and Fluorochrome-Labe led Antibodies -- 20: Use of RFLPs for the Comparison of Marine Cyanobacteria. , 21: Use of High-Resolution Flow Cytometry to Determine the Activity and Distribution of Aquatic Bacteria -- 22: Phytoplankton Analysis Using Flow Cytometry -- 23: Enumeration of Phototrophic Pi coplankton by Auto fluorescence Microscopy -- 24: Estimating Cell Concentration and Biomass of Autotrophic Plankton Using Microscopy -- 25: Preservation and Storage of Samples for Enumeration of Heterotrophic Protists -- 26: Staining of Heterotrophic Protists for Visualization via Epifluorescence Microscopy -- 27: A Quantitative Protargol Slain (QPS) for Ciliates and Other Protists -- 28: Preparation of Pelagic Protists for Electron Microscopy -- 29: A Rapid Technique for the Taxonomy of Methanogenic Bacteria: Comparison of the Methylreductase Subunits -- 30: Extraction of DNA from Soils and Sediments -- 31: Detecting Gene Sequences Using the Polymerase Chain Reaction -- 32: Quantitative Description of Microbial Communities Using Lipid Analysis -- 33: Single Cell Identification Using Fluorescently Labeled, Ribosomal RNA-Specific Probes -- 34: Immunofluorescence Method for the Detection and Characterization of Marine Microbes -- Section III: Biomass -- 35: The Relationship Between Biomass and Volume of Bacteria -- 36: Microscope Methods for Measuring Bacterial Biovolume: Epifluorescence Microscopy, Scanning Electron Microscopy, and Transmission Electron Microscopy -- 37: Measurement of Carbon and Nitrogen Biomass and Biovolume from Naturally Derived Marine Bacterioplankton -- 38: Use of Color Image Analysis and Epifluorescence Microscopy to Measure Plankton Biomass -- 39: Determination of Size and Morphology of Aquatic Bacteria by Automated Image Analysis -- 40: Analysis of Microbial Lipids to Determine Biomass and Detect the Response of Sedimentary Microorganisms to Disturbance. , 41: Total Microbial Biomass Estimation Derived from the Measurement of Particulate Adenosine-5'-Triphosphate -- 42: Microphytobenthic Biomass Measurement Using HPLC and Conventional Pigment Analysis -- 43: Microphotometric Analysis of the Spectral Absorption and Fluorescence of Individual Phytoplankton Cells and Detrital Matter -- 44: Measurement of Elemental Content and Dry Weight of Single Cells: X-Ray Microanalysis -- Section IV: Activity, Respiration, and Growth -- 45: Microautoradiographic Detection of Microbial Activity -- 46: 14C Tracer Method for Measuring Microbial Activity in Deep-Sea Sediments -- 47: Evaluating Bacterial Activity from Cell-Specific Ribosomal RNA Content Measured with Oligonucleotide Probes -- 48: Use of Fluorogenic Model Substrates for Extracellular Enzyme Activity (EEA) Measurement of Bacteria -- 49: Photoassimilation of Acetate by Algae -- 50: Starvation-Survival Strategies in Bacteria -- 51: Community Respiration Measurements Using a Pulsed O2 Electrode -- 52: Sediment Community Production and Respiration Measurements: The Use of Microelectrodes and Bell Jars -- 53: Distinguishing Bacterial from Nonbacterial Decomposition of Spartina alterniflora by Respirometry -- 54: Microbial RNA and DNA Synthesis Derived from the Assimilation of [2,3H]-Adenine -- 55: Adenosine Triphosphate (ATP) and Total Adenine Nucleotide (TAN) Pool Turnover Rates as Measures of Energy Flux and Specific Growth Rate in Natural Populations of Microorganisms -- 56: Estimating Production of Heterotrophic Bacterioplankton via Incorporation of Tritiated Thymidine -- 57: Thymidine Incorporation into DNA as an Estimate of Sediment Bacterial Production -- 58: Leucine Incorporation as a Measure of Biomass Production by Heterotrophic Bacteria -- 59: Estimating Conversion Factors for the Thymidine and Leucine Methods for Measuring Bacterial Production. , 60: Bacterial Production in Anaerobic Water Columns -- 61: Production of Heterotrophic Bacteria Inhabiting Marine Snow -- 62: Bacterial Growth Rates Measured by Pulse Labeling -- 63: Utilization of Amino Acids and Precursors for Amino Acid De Novo Synthesis by Planktonic Bacteria -- 64: Dialysis Bag Incubation as a Nonradio labeling Technique to Estimate Bacterioplankton Production In Situ -- 65: Growth Rales of Natural Populations of Heterotrophic Nanoplankton -- 66: The Labeled Chlorophyll a Technique for Determining Phoioaulotrophic Carbon-Specific Growth Rates and Carbon Biomass -- 67: Incorporation of 14C02 into Protein as an Estimate of Phytoplankton N-Assimilation and Relative Growth Rate -- 68: Membrane-Containing Fungal Mass and Fungal Specific Growth Rate in Natural Samples -- Section V: Organic Matter Decomposition and Nutrient Regeneration -- 69: Radiotracer Approaches for the Study of Plant Polymer Biodegradation -- 70: Estimating Degradation Rates of Chi tin in Aquatic Samples -- 71: Measurement of Dimethylsulfide (DMS) and Dimethylsulfoniopropionaie (DMSP) in Seawater and Estimation of DMS Turnover Rates -- 72: Sulfate Assimilation by Aquatic Microorganisms -- 73: Determination of Nitrogenase Activity in Aquatic Samples Using the Acetylene Reduction Procedure -- 74: Denitrification and Nitrification Rates in Aquatic Sediments -- 75: Turnover of 15NH4 " Tracer in Sediments -- 76: Microbial Cycling of Inorganic and Organic Phosphorus in the Water Column -- Section VI: Food Webs and Trophic Interactions -- 77: Approaches for Measuring Stable Carbon and Nitrogen Isotopes in Bacteria -- 78: Bacterial Sinking Losses -- 79: Methods for the Observation and Use in Feeding Experiments of Microbial Exopolymers -- 80: Protistan Grazing Rates via Uptake of Fluorescently Labeled Prey. , 81: Grazing Rale of Bacterioplanklon via Turnover of Genetically Marked Minicells -- 82: Estimating Rates of Growth and Grazing Mortality of Phytoplankton by the Dilution Method -- 83: Consumption of Protozoa by Copepods Feeding on Natural Microplankton Assemblages -- 84: Predation on Planktonic Protists Assessed by Immunochemical Assays -- 85: Absorption of Microbes by Benthic Macrofauna by the 14C:51Cr Dual-Labeling Method -- 86: Radioisotope Technique to Quantify In Situ Microbivory by Meiofauna in Sediments -- Index.
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  • 2
    Publication Date: 2023-03-09
    Keywords: Bottle, Niskin; Date/Time of event; DEPTH, water; Event label; Flow cytometry; Global Ocean Ecosystem Dynamics; GLOBEC; Latitude of event; Longitude of event; NEP-LTOP-CR10-2001-9; NEP-LTOP-CR10-2003-7; NEP-LTOP-CR11-2002-4; NEP-LTOP-CR11-2002-7; NEP-LTOP-CR11-2002-9; NEP-LTOP-CR11-2003-7; NEP-LTOP-CR11-2003-9; NEP-LTOP-CR1-2001-3; NEP-LTOP-CR1-2001-9; NEP-LTOP-CR1-2002-4; NEP-LTOP-CR1-2002-7; NEP-LTOP-CR1-2002-9; NEP-LTOP-CR1-2003-4; NEP-LTOP-CR1-2003-7; NEP-LTOP-CR1-2003-9; NEP-LTOP-CR2-2002-9; NEP-LTOP-CR2-2003-4; NEP-LTOP-CR2-2003-7; NEP-LTOP-CR2-2003-9; NEP-LTOP-CR3-2001-3; NEP-LTOP-CR3-2001-9; NEP-LTOP-CR3-2002-4; NEP-LTOP-CR3-2002-7; NEP-LTOP-CR3-2002-9; NEP-LTOP-CR3-2003-4; NEP-LTOP-CR3-2003-7; NEP-LTOP-CR3-2003-9; NEP-LTOP-CR4-2001-3; NEP-LTOP-CR4-2001-9; NEP-LTOP-CR4-2002-4; NEP-LTOP-CR4-2002-7; NEP-LTOP-CR4-2002-9; NEP-LTOP-CR4-2003-4; NEP-LTOP-CR4-2003-7; NEP-LTOP-CR4-2003-9; NEP-LTOP-CR5-2001-9; NEP-LTOP-CR5-2002-4; NEP-LTOP-CR5-2002-7; NEP-LTOP-CR5-2002-9; NEP-LTOP-CR5-2003-4; NEP-LTOP-CR5-2003-7; NEP-LTOP-CR5-2003-9; NEP-LTOP-CR6-2003-7; NEP-LTOP-CR6-2003-9; NEP-LTOP-CR7-2001-3; NEP-LTOP-CR7-2001-9; NEP-LTOP-CR7-2002-4; NEP-LTOP-CR7-2002-7; NEP-LTOP-CR7-2002-9; NEP-LTOP-CR7-2003-4; NEP-LTOP-CR7-2003-7; NEP-LTOP-CR7-2003-9; NEP-LTOP-CR8-2003-7; NEP-LTOP-CR8-2003-9; NEP-LTOP-CR9-2002-4; NEP-LTOP-CR9-2003-9; NEP-LTOP-CR9a-2001-3; NEP-LTOP-CR9A-2001-9; NEP-LTOP-CR9a-2002-7; NEP-LTOP-CR9a-2002-9; NEP-LTOP-CR9a-2003-4; NEP-LTOP-CR9a-2003-7; NEP-LTOP-FM1-2002-7; NEP-LTOP-FM1-2002-9; NEP-LTOP-FM1-2003-4; NEP-LTOP-FM1-2003-7; NEP-LTOP-FM1-2003-9; NEP-LTOP-FM1a-2003-9; NEP-LTOP-FM3-2001-3; NEP-LTOP-FM3-2001-9; NEP-LTOP-FM3-2002-4; NEP-LTOP-FM3-2002-7; NEP-LTOP-FM3-2002-9; NEP-LTOP-FM3-2003-4; NEP-LTOP-FM3-2003-7; NEP-LTOP-FM3-2003-9; NEP-LTOP-FM4-2001-3; NEP-LTOP-FM4-2001-9; NEP-LTOP-FM4-2002-4; NEP-LTOP-FM4-2002-7; NEP-LTOP-FM4-2002-9; NEP-LTOP-FM4-2003-4; NEP-LTOP-FM4-2003-7; NEP-LTOP-FM4-2003-9; NEP-LTOP-FM5-2001-9; NEP-LTOP-FM5-2002-4; NEP-LTOP-FM5-2002-7; NEP-LTOP-FM5-2002-9; NEP-LTOP-FM5-2003-4; NEP-LTOP-FM5-2003-7; NEP-LTOP-FM5-2003-9; NEP-LTOP-FM6-2002-9; NEP-LTOP-FM6-2003-7; NEP-LTOP-FM6-2003-9; NEP-LTOP-FM7-2001-3; NEP-LTOP-FM7-2001-9; NEP-LTOP-FM7-2002-4; NEP-LTOP-FM7-2002-7; NEP-LTOP-FM7-2002-9; NEP-LTOP-FM7-2003-4; NEP-LTOP-FM7-2003-7; NEP-LTOP-FM7-2003-9; NEP-LTOP-FM8-2001-9; NEP-LTOP-FM8-2002-4; NEP-LTOP-FM8-2002-7; NEP-LTOP-FM8-2002-9; NEP-LTOP-FM8-2003-4; NEP-LTOP-FM8-2003-7; NEP-LTOP-FM8-2003-9; NEP-LTOP-FM9-2001-9; NEP-LTOP-FM9-2002-4; NEP-LTOP-FM9-2002-7; NEP-LTOP-FM9-2002-9; NEP-LTOP-FM9-2003-4; NEP-LTOP-FM9-2003-7; NEP-LTOP-FM9-2003-9; NEP-LTOP-HH1-2001-9; NEP-LTOP-HH1-2002-4; NEP-LTOP-HH1-2002-7; NEP-LTOP-HH1-2002-9; NEP-LTOP-HH1-2003-4; NEP-LTOP-HH1-2003-7; NEP-LTOP-HH1-2003-9; NEP-LTOP-HH15-2003-4; NEP-LTOP-HH2-2001-9; NEP-LTOP-HH2-2002-4; NEP-LTOP-HH2-2002-9; NEP-LTOP-HH2-2003-4; NEP-LTOP-HH2-2003-7; NEP-LTOP-HH2-2003-9; NEP-LTOP-HH3-2001-9; NEP-LTOP-HH3-2002-4; NEP-LTOP-HH3-2002-9; NEP-LTOP-HH3-2003-4; NEP-LTOP-HH3-2003-7; NEP-LTOP-HH3-2003-9; NEP-LTOP-HH4-2001-9; NEP-LTOP-HH4-2002-4; NEP-LTOP-HH4-2002-9; NEP-LTOP-HH4-2003-4; NEP-LTOP-HH4-2003-7; NEP-LTOP-HH4-2003-9; NEP-LTOP-HH5-2001-9; NEP-LTOP-HH5-2002-4; NEP-LTOP-HH5-2002-9; NEP-LTOP-HH5-2003-4; NEP-LTOP-HH5-2003-7; NEP-LTOP-HH5-2003-9; NEP-LTOP-HH7-2001-9; NEP-LTOP-HH7-2002-4; NEP-LTOP-HH7-2002-9; NEP-LTOP-HH7-2003-7; NEP-LTOP-HH7-2003-9; NEP-LTOP-HH9-2002-4; NEP-LTOP-HH9-2002-9; NEP-LTOP-HH9-2003-9; NEP-LTOP-NH03-2002-2; NEP-LTOP-NH05-2002-2; NEP-LTOP-NH10-2002-12; NEP-LTOP-NH10-2002-2; NEP-LTOP-NH10-2002-7; NEP-LTOP-NH10-2002-9; NEP-LTOP-NH10-2003-2; NEP-LTOP-NH10-2003-4; NEP-LTOP-NH10-2003-7; NEP-LTOP-NH10-2003-9; NEP-LTOP-NH1-2002-12; NEP-LTOP-NH1-2002-7; NEP-LTOP-NH1-2003-4; NEP-LTOP-NH1-2003-7; NEP-LTOP-NH1-2003-9; NEP-LTOP-NH15-2001-11; NEP-LTOP-NH15-2001-3; NEP-LTOP-NH15-2001-7; NEP-LTOP-NH15-2001-9; NEP-LTOP-NH15-2002-12; NEP-LTOP-NH15-2002-2; NEP-LTOP-NH15-2002-4; NEP-LTOP-NH15-2002-7; NEP-LTOP-NH15-2002-9; NEP-LTOP-NH15-2003-2; NEP-LTOP-NH15-2003-4; NEP-LTOP-NH15-2003-7; NEP-LTOP-NH15-2003-9; NEP-LTOP-NH20-2002-2; NEP-LTOP-NH20-2002-9; NEP-LTOP-NH20-2003-7; NEP-LTOP-NH25-2001-11; NEP-LTOP-NH25-2001-3; NEP-LTOP-NH25-2001-7; NEP-LTOP-NH25-2001-9; NEP-LTOP-NH25-2002-12; NEP-LTOP-NH25-2002-2; NEP-LTOP-NH25-2002-4; NEP-LTOP-NH25-2002-7; NEP-LTOP-NH25-2002-9; NEP-LTOP-NH25-2003-2; NEP-LTOP-NH25-2003-4; NEP-LTOP-NH25-2003-7; NEP-LTOP-NH25-2003-9; NEP-LTOP-NH3-2002-12; NEP-LTOP-NH3-2002-4; NEP-LTOP-NH3-2002-7; NEP-LTOP-NH3-2002-9; NEP-LTOP-NH3-2003-2; NEP-LTOP-NH3-2003-4; NEP-LTOP-NH3-2003-7; NEP-LTOP-NH3-2003-9; NEP-LTOP-NH35-2001-11; NEP-LTOP-NH35-2001-3; NEP-LTOP-NH35-2001-7; NEP-LTOP-NH35-2001-9; NEP-LTOP-NH35-2002-12; NEP-LTOP-NH35-2002-2; NEP-LTOP-NH35-2002-4; NEP-LTOP-NH35-2002-7; NEP-LTOP-NH35-2002-9; NEP-LTOP-NH35-2003-2; NEP-LTOP-NH35-2003-4; NEP-LTOP-NH35-2003-7; NEP-LTOP-NH35-2003-9; NEP-LTOP-NH45-2001-3; NEP-LTOP-NH45-2001-7; NEP-LTOP-NH45-2001-9; NEP-LTOP-NH45-2002-12; NEP-LTOP-NH45-2002-2; NEP-LTOP-NH45-2002-4; NEP-LTOP-NH45-2002-7; NEP-LTOP-NH45-2002-9; NEP-LTOP-NH45-2003-2; NEP-LTOP-NH45-2003-4; NEP-LTOP-NH45-2003-7; NEP-LTOP-NH45-2003-9; NEP-LTOP-NH5-2001-11; NEP-LTOP-NH5-2001-3; NEP-LTOP-NH5-2001-7; NEP-LTOP-NH5-2001-9; NEP-LTOP-NH5-2002-12; NEP-LTOP-NH5-2002-4; NEP-LTOP-NH5-2002-7; NEP-LTOP-NH5-2002-9; NEP-LTOP-NH5-2003-2; NEP-LTOP-NH5-2003-4; NEP-LTOP-NH5-2003-7; NEP-LTOP-NH5-2003-9; NEP-LTOP-NH55-2002-4; NEP-LTOP-NH55-2003-2; NEP-LTOP-NH55-2003-9; NEP-LTOP-NH65-2001-3; NEP-LTOP-NH65-2001-7; NEP-LTOP-NH65-2001-9; NEP-LTOP-NH65-2002-12; NEP-LTOP-NH65-2002-2; NEP-LTOP-NH65-2002-4; NEP-LTOP-NH65-2002-7; NEP-LTOP-NH65-2002-9; NEP-LTOP-NH65-2003-2; NEP-LTOP-NH65-2003-4; NEP-LTOP-NH65-2003-7; NEP-LTOP-NH65-2003-9; NEP-LTOP-NH85-2001-3; NEP-LTOP-NH85-2001-7; NEP-LTOP-NH85-2001-9; NEP-LTOP-NH85-2002-12; NEP-LTOP-NH85-2002-4; NEP-LTOP-NH85-2002-7; NEP-LTOP-NH85-2002-9; NEP-LTOP-NH85-2003-2; NEP-LTOP-NH85-2003-4; NEP-LTOP-NH85-2003-7; NEP-LTOP-NH85-2003-9; NEP-LTOP-RR1-2001-9; NEP-LTOP-RR1-2002-4; NEP-LTOP-RR1-2002-7; NEP-LTOP-RR1-2003-4; NEP-LTOP-RR2-2001-3; NEP-LTOP-RR2-2001-9; NEP-LTOP-RR2-2002-4; NEP-LTOP-RR2-2002-7; NEP-LTOP-RR2-2003-4; NEP-LTOP-RR3-2001-3; NEP-LTOP-RR3-2001-9; NEP-LTOP-RR3-2002-4; NEP-LTOP-RR3-2002-7; NEP-LTOP-RR3-2003-4; NEP-LTOP-RR4-2001-9; NEP-LTOP-RR4-2002-4; NEP-LTOP-RR4-2002-7; NEP-LTOP-RR4-2003-4; NEP-LTOP-RR6-2001-9; NEP-LTOP-RR6-2002-4; NEP-LTOP-RR6-2002-7; NEP-LTOP-RR6-2003-4; NEP-LTOP-RR7-2001-9; NEP-LTOP-RR7-2002-4; NEP-LTOP-RR7-2002-7; NEP-LTOP-RR7-2003-4; NIS; Northeast Pacific; Prokaryotes
    Type: Dataset
    Format: text/tab-separated-values, 1725 data points
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  • 3
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    The @journal of eukaryotic microbiology 32 (1985), S. 0 
    ISSN: 1550-7408
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology
    Notes: Protozoa are now being recognized as important members of planktonic food webs. This is due to the inclusion of microbial links in our paradigm of trophic relationships. Heterotrophic microflagellates and ciliates are major grazers of bacteria. They can stimulate production through nutrient recycling and can transform microbial production into larger particles, which are then available for macroconsumers. In this paper we add new groups, the small (〈 20 μm) ciliates and myxotrophic flagellates, to the planktonic food web.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    [s.l.] : Nature Publishing Group
    Nature 325 (1987), S. 710-711 
    ISSN: 1476-4687
    Source: Nature Archives 1869 - 2009
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Notes: [Auszug] Water samples containing natural assemblages of ciliates were collected in the Duplin River, a salt marsh tidal embayment on the Georgia, US coast. Ciliates were not taxonomically identified, except for one scuticociliate, Uronema marina, which we cultured on a wheat grain infusion. However, based ...
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    FEMS microbiology ecology 28 (1999), S. 0 
    ISSN: 1574-6941
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology
    Notes: Activity at acidic pH (4.5) of β-glucosaminidase (βGAM) has been suggested as a quantitative marker for biomass of bacterivorous protists in aquatic ecosystems. βGAM is an enzyme that cleaves peptidoglycan, a major component of bacterial cell walls. Measuring the rate of cleavage of the fluorochrome methylumbelliferone (MUF) from the fluorogenic substrate MUF-N-acetyl-β-d-glucosaminide (MUF-[GlcNAc]) is a simple assay for in situ activity of βGAM. However, this approach is seriously compromised by three characteristics of the enzyme: (1) all classes of marine microbes tested: bacteria, protists, and phytoplankton, exhibit βGAM activity, (2) the pH maximum for activity of βGAM is in the range of 6–8 for all classes of marine microbes, and (3) some species of marine phytoplankton have relatively high cell-specific and volume-specific βGAM activities at pH 4.5 and/or pH 7. Based on these results, enzymatic cleavage of the MUF-[GlcNAc] substrate does not appear to be useful as a specific assay for in situ biomass of heterotrophic protists, although the method could be applied in defined culture experiments.
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    FEMS microbiology ecology 33 (2000), S. 0 
    ISSN: 1574-6941
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology
    Type of Medium: Electronic Resource
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  • 7
    ISSN: 1573-5117
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Future considerations of carbon-energy flows within pelagic food webs should include internal, biotic feedback controls, in addition to abiotic forcing functions, in the regulation of these flows. Over the past two decades, research on microbial communities of pelagic ecosystems has yielded data suggestive of cybernetic-like regulation operating within these communities. As presently conceived, phagotrophic protozoa have a pivotal role in such regulation as a consequence of their rapid growth, grazing, and nutrient regenerative capabilities. Feedback controls within microbial food webs may have significant effects on distal portions of pelagic ecosystems, including the fate of organic detritus and metazoan production.
    Type of Medium: Electronic Resource
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  • 8
    Publication Date: 2022-05-25
    Description: Author Posting. © Arctic Institute of North America, 2010. This article is posted here by permission of Arctic Institute of North America for personal use, not for redistribution. The definitive version was published in Arctic 63 (2010): 179-194.
    Description: The annual migration of bowhead whales (Balaena mysticetus) past Barrow, Alaska, has provided subsistence hunting to Iñupiat for centuries. Bowheads recurrently feed on aggregations of zooplankton prey near Barrow in autumn. The mechanisms that form these aggregations, and the associations between whales and oceanography, were investigated using field sampling, retrospective analysis, and traditional knowledge interviews. Oceanographic and aerial surveys were conducted near Barrow during August and September in 2005 and 2006. Multiple water masses were observed, and close coupling between water mass type and biological characteristics was noted. Short-term variability in hydrography was associated with changes in wind speed and direction that profoundly affected plankton taxonomic composition. Aggregations of ca. 50–100 bowhead whales were observed in early September of both years at locations consistent with traditional knowledge. Retrospective analyses of records for 1984–2004 also showed that annual aggregations of whales near Barrow were associated with wind speed and direction. Euphausiids and copepods appear to be upwelled onto the Beaufort Sea shelf during Eor SEwinds. A favorable feeding environment is produced when these plankton are retained and concentrated on the shelf by the prevailing westward Beaufort Sea shelf currents that converge with the Alaska Coastal Current flowing to the northeast along the eastern edge of Barrow Canyon.
    Description: This work was supported by NSF Grants OPPPP-0436131 to C. Ashjian (S. Braund Subcontract), OPPPP-0436110 to R. Campbell, OPPPP-0436127 to W. Maslowski, OPPPP-0436009 to C. Nicolson and J. Kruse, OPPPP-043166 to S. Okkonen, and OPPPP-0435956 to Y. Spitz, E. Sherr, and B. Sherr.
    Keywords: Bowhead whale ; Plankton ; Oceanography ; Beaufort Sea ; Subsistence whaling
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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  • 9
    Publication Date: 2022-05-26
    Description: Author Posting. © American Geophysical Union, 2016. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research: Oceans 121 (2016): 1476–1501, doi:10.1002/2015JC011449.
    Description: A new planktonic ecosystem model was constructed for the Eastern Bering Sea based on observations from the 2007–2010 BEST/BSIERP (Bering Ecosystem Study/Bering Sea Integrated Ecosystem Research Program) field program. When run with forcing from a data-assimilative ice-ocean hindcast of 1971–2012, the model performs well against observations of spring bloom time evolution (phytoplankton and microzooplankton biomass, growth and grazing rates, and ratios among new, regenerated, and export production). On the southern middle shelf (57°N, station M2), the model replicates the generally inverse relationship between ice-retreat timing and spring bloom timing known from observations, and the simpler direct relationship between the two that has been observed on the northern middle shelf (62°N, station M8). The relationship between simulated mean primary production and mean temperature in spring (15 February to 15 July) is generally positive, although this was found to be an indirect relationship which does not continue to apply across a future projection of temperature and ice cover in the 2040s. At M2, the leading direct controls on total spring primary production are found to be advective and turbulent nutrient supply, suggesting that mesoscale, wind-driven processes—advective transport and storminess—may be crucial to long-term trends in spring primary production in the southeastern Bering Sea, with temperature and ice cover playing only indirect roles. Sensitivity experiments suggest that direct dependence of planktonic growth and metabolic rates on temperature is less significant overall than the other drivers correlated with temperature described above.
    Description: This work was supported by the National Science Foundation through grants ARC-1107187, ARC-1107303, and ARC-1107588, for BEST Synthesis, and PLR-1417365.
    Description: 2016-08-20
    Keywords: Phytoplankton bloom ; Climate change ; Bering Sea ; Microzooplankton ; Ecosystem model ; Phenology
    Repository Name: Woods Hole Open Access Server
    Type: Article
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