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4 results for “Picoeukaryotes”
Processed proteomic and phosphoproteomic timeseries from Ostreococcus tauri, with Gene Ontology enrichment, from "A phospho-dawn of protein modification anticipates light onset in the picoeukaryote O. tauri"
<p>Diel regulation of protein levels and protein modification had been less studied than transcript rhythms. These data tables in .XLSX format report partial proteome (Table_S1) and phosphoproteome data (Table_S2), assayed using shotgun mass-spectrometry, from cultures of the alga <em>Ostreococcus tauri </em>under light-dark cycles, sampled at Zeitgeber times (ZT, hours) 0, 4, 8, 12, 16 and 20. 10% of quantified proteins but two-thirds of phosphoproteins were rhythmic. Gene Ontology enrichment analysis was applied to infer the functional enrichment of the proteins or phosphoproteins, grouped by their loadings in PCA analysis (Table_S3), by hierarchical clustering (Table_S4) or by the peak time of their rhythmic profile (Table_S5).Prompted by night-peaking and apparently dark-stable proteins, we also tested the proteome of cultures transferred to prolonged darkness for 24, 48, 72 or 96h (Table_S6), where the proteome changed less than under the diel cycle. The raw data are available from ProteomeXchange, with identifiers PXD001734, PXD001735 and PXD002909.</p>
Spatial Distributions of Sea Surface Prochlorococcus, Synechococcus, and Picoeukaryotes
<p>The attached videos show estimated global distributions of sea surface <em>Prochlorococcus</em>, <em>Synechococcus</em>, and pico-eukaryotes cell abundances. To produce these estimates an Artificial Neural Network (ANN) is trained using more than 35 years of cell abundance observations. The training dataset is compiled using <a href="https://simonscmap.com/">Simons CMAP</a> python client (<a href="https://github.com/simonscmap/pycmap">pycmap</a>) and can be found <a href="https://doi.org/10.5281/zenodo.4108149">here</a>. Environmental variables are used as model features to predict the organism's abundances. Below is the list of employed features for each species:</p> <p> </p> <p><em>Prochlorococcus: </em><a href="https://simonscmap.com/catalog/datasets/Near_Real_Time%20SST_AVHRR_OI">Sea Surface Temperature</a> </p> <p><em>Synechococcus: </em><a href="https://simonscmap.com/catalog/datasets/Near_Real_Time%20SST_AVHRR_OI">Sea Surface Temperature</a>, <a href="https://simonscmap.com/catalog/datasets/Mercator_Pisces_Biogeochem_Climatology">Dissolved Nitrate (NO<sub>3</sub>) Concentration</a>, <a href="https://simonscmap.com/catalog/datasets/Reprocessed_8_Day_Satellite_CHL">Chlorophyll Concentration </a></p> <p>pico-eukaryotes: <a href="https://simonscmap.com/catalog/datasets/Near_Real_Time%20SST_AVHRR_OI">Sea Surface Temperature</a>, <a href="https://simonscmap.com/catalog/datasets/Mercator_Pisces_Biogeochem_Climatology">Dissolved Nitrate (NO<sub>3</sub>) Concentration</a>, <a href="https://simonscmap.com/catalog/datasets/Mercator_Pisces_Biogeochem_Climatology">Dissolved Oxygen (O<sub>2</sub>) Concentration</a>, <a href="https://simonscmap.com/catalog/datasets/SMAP_Ocean_Surface_Salinity">Sea Surface Salinity</a> </p>
Data from: Mode of resistance to viral lysis affects host growth across multiple environments in the marine picoeukaryote Ostreococcus tauri
Viruses play important roles in population dynamics and as drivers of evolution in single-celled marine phytoplankton. Viral infection of Ostreococcus tauri often causes cell lysis, but two spontaneously arising resistance mechanisms occur: resistant cells that cannot become infected and resistant producer cells that are infected but not lysed, and which may slowly release viruses. As of yet, little is known about how consistent the effects of viruses on their hosts are across different environments. To measure the effect of host resistance on host growth, and to determine whether this effect is environmentally dependent, we compared the growth and survival of susceptible, resistant and resistant producer O. tauri cells under five environmental conditions with and without exposure to O. tauri virus. While the effects of exposure to virus on growth rates did not show a consistent pattern in populations of resistant cells, there were several cases where exposure to virus affected growth in resistant hosts, sometimes positively. In the absence of virus, there was no detectable cost of resistance in any environment, as measured by growth rate. In fact, the opposite was the case, with populations of resistant producer cells having the highest growth rates across four of the five environments.
Data from: Mode of resistance to viral lysis affects host growth across multiple environments in the marine picoeukaryote Ostreococcus tauri
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