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9 results for “nanoflagellate”
Vertical distribution of heterotrophic nanoflagellates in the Baltic Proper
<p>This dataset contains data on the abundance of prokaryotes, heterotrophic nanoflagellates (HNF), specific lineages of HNF and environmental factors in the Baltic Sea collected during four cruises of r/v Baltica (National Fisheries Research Institute) in 2021. The Excel file includes six sheets:</p> <ol> <li>The "Parameters-Data" sheet lists all parameters for data presented in the "Data" sheet. Column A (Name) contains the variables names, column B (Unit) contains units in which they were measured, column C (Method/Device) contains information on the methodology, and column D (Comments) contains additional information</li> <li>The "Data" sheet contains data in a wide format for all variables listed in the "Parameters-Data" sheet measured at sampling depths. The first row contains variable names (listed in Column A of the Parameters-Data sheet) with units in square brackets</li> <li>The "Parameter-Size" sheet lists parameters for data presented in the "Size" sheet in the same format as described for the "Parameters-Data" sheet. Starting from row 5 in columns A and B, the number of measured HNF cells for each sample is given </li> <li>The "Size" sheet contains size measurements of HNF in the samples in a long format. The number of cells measured in each sample is provided in the "Parameter-Size" sheet</li> <li>The "Parameters-CTD depth profiles" sheet lists parameters for data presented in the "CTD depth profiles" sheet in the same format as described for the "Parameters-Data" sheet.</li> <li>The "CTD depth profiles" sheet contains full-depth profiles of variables measured with a CTD probe with 1 m resolution.</li> </ol>
Fig. 4 in Characterizations of five heterotrophic nanoflagellates newly recorded in Korea
Fig. 4. (A, B) General light micrographs and sketch of Ancyromonas micra strain IG005. AF: anterior flagellum, PF: posterior flagellum, scale bar = 5 μm. Arrowhead and double arrowhead represent a shallow groove and rostrum, respectively. All micrographs are differential interference contrast (DIC) images. (C) Maximum likelihood phylogenetic tree inferred from the 18S rDNA sequences of Ancyromonadida (order) species including Ancyromonas micra strain IG005 and outgroup (Diacronema vlkiauum strain AC67 and Prymnesium patelliferum). Bootstrap support values (>70%) are shown at the nodes. Solid circles indicate a Bayesian posterior probability of 1 (posterior probability <0.75 not shown).
Fig. 3 in Characterizations of five heterotrophic nanoflagellates newly recorded in Korea
Fig. 3. (A, B) General light micrographs and sketch of Neobodo curvifilus (formerly Procryptobia sorokini) strain KM017. AF: anterior flagellum, PF: posterior flagellum, GR: granules, scale bar = 5 μm. All micrographs are differential interference contrast (DIC) images. (C) Maximum likelihood phylogenetic tree inferred from the 18S rDNA sequences of Neobodonida (order) species including Neobodo curvifilus strain KM017 and outgroup (Bodo saltans and Bodo uncinatus). Bootstrap support values (>80%) are shown at the nodes. Solid circles indicate a Bayesian posterior probability of 1 (posterior probability<0.95 not shown).
Fig. 2 in Characterizations of five heterotrophic nanoflagellates newly recorded in Korea
Fig. 2. (A, B) General light micrographs and sketch of Aplanochytrium minuta (formerly Labyrinthuloides minuta) strain PH004. AF: anterior flagellum, PF: posterior flagellum, scale bar = 5 μm. All micrographs are differential interference contrast (DIC) images. (C) Maximum likelihood phylogenetic tree inferred from the 18S rDNA sequences of Labyrinthulomycetes (class) species including Aplanochytrium minuta strain PH004 and outgroup (Wobblia lunata and Placidia cafeteriopsis). Bootstrap support values (>80%) are shown at the nodes. Solid circles indicate a Bayesian posterior probability of 1 (posterior probability<0.95 not shown).
Fig. 1 in Characterizations of five heterotrophic nanoflagellates newly recorded in Korea
Fig. 1. (A, B) General light micrographs and sketch of Cafeteria burkhardae strain PH003. AF: anterior flagellum, PF: posterior flagellum, CV: contractile vacuole, FV: food vacuole, scale bar = 5 μm. Arrowhead represents curved channel. All micrographs are differential interference contrast (DIC) images. (C, D) General light micrographs and sketch of Cafeteria graefeae strain UL001. (E) Maximum likelihood phylogenetic tree inferred from the 18S rDNA sequences of Cafeteria (genus) species including Cafeteria graefeae strain UL001 and Cafeteria burkhardae strain PH003 and outgroup (Paramonas globosa strain ATCC 50531 and Nerada mexicana strain ATCC 50535). Bootstrap support values (>70%) are shown at the nodes. Solid circles indicate a Bayesian posterior probability of 1 (posterior probability<0.95 not shown).
McMurdo Dry Valleys Microzooplankton : Lake Fryxell Ciliates, Bacteria, Nanoflagellates
In conjunction with the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, lakes were monitored for microzooplankton by a team based out of the University of Nottingham (led by Johanna Laybourn-Parry). This dataset shows numbers of ciliates, bacteria, heterotrophic nanoflagellates, and phototrophic nanoflagellates found at various depths in Lake Fryxell.
McMurdo Dry Valleys Microzooplankton : Cryptophyte, Ciliate, and Heterotrophic Nanoflagellate Abundances
In conjunction with the Long Term Ecological Research (LTER) project in the McMurdo Dry Valleys of Antarctica, lakes were monitored for microzooplankton by a team based out of the University of Nottingham (led by Johanna Laybourn-Parry). This dataset shows the abundance of heterotrophic nanoflagellates, cryptophytes, and ciliates found at various depths in Lake Fryxell and Lake Hoare.
Data from: Modelling the consequence of glacier retreat on mixotrophic nanoflagellate bacterivory: a Bayesian approach
<p>This repository comprises data and statisticial analysis from the paper Schenone et al. 2020 entitled "Modelling the Consequence of Glacier Retreat on Mixotrophic Nanoflagellate Bacterivory: A Bayesian Approach" which was accepted for publication in Oikos. The main contribution of this paper is a model for mixotrophic nanoflagellate bacterivory as a function of light availability and the presence of non edible particles such as glacial clay. The dataset consists in results from eight bacterivory experiments carried out during November 2018 and January-February 2019 using natural mixotrophic nanoflagellate community of six moutain lakes from north Patagonia, Argentina. A Bayesian approach was adopted to estimate relevant parameters from the model using our experimental data. The analysis was performed using JAGS interfaced through R Studio, the script is available in this repository.</p>
Data from: Modelling the consequence of glacier retreat on mixotrophic nanoflagellate bacterivory: a Bayesian approach
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