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| griddap | Subset | tabledap | Make A Graph | wms | files | Accessible | Title | Summary | FGDC | ISO 19115 | Info | Background Info | RSS | Institution | Dataset ID | |
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| log in | [Synechococcus WH8102 chemostats] - Semi-quantitative cell proteome of marine Synechococcus WH8102 using DIA-MS, interactive nutrient-temperature responses in stable chemostat bioreactors from laboratory experiments conducted in 2019 (Convergence: RAISE: Linking the adaptive dynamics of plankton with emergent global ocean biogeochemistry) | This proteomic data set was prepared to determine how the distribution of protein-based traits contribute to cellular elemental stoichiometry of a globally-abundant, surface ocean phytoplankton in response to nutrient stress under variable temperature conditions. Cellular proteins are from laboratory chemostat cultures of marine Synechococcus isolate WH8102 (clade III). Proteins were extracted from cells grown under stable, steady-state conditions in a low-phosphorus medium (N:P=80) and a low-nitrate medium (N:P=1.7) across 3 temperatures of 20, 24, and 28˚C (for a total of 6 chemostat cultures) at a white light density of 125 µmol quanta-1 m-2 s-1 on a 12-hour-light:12-hour-dark diel cycle, at a continuous dilution rate of 0.18 d-1, in fall of 2019. Cells and proteins were collected at 5 mid-light-period time points on non-consecutive days to yield a total of 30 samples. Culture work was performed at the University of California, Irvine by Adam Martiny's group. Proteins were analyzed with data-independent acquisition mass spectrometry proteomics methods by Mak Saito's group at the Woods Hole Oceanographic Institution. Data are exclusive peak area intensities of proteins with 2 or more representative peptides, normalized with Scaffold (2.2.1) DIA proteome software. Peptides were analyzed using a Michrom Advance HPLC system coupled to a Q-Exactive mass spectrometer (Thermo Scientific instrument version 2.8) with a Michrom Advance CaptiveSpray source, using the constant injection concentration of 1 µg/µL to allow uniformity across the dataset. Data with more details are published in Garcia et al. (2024) Proteome trait regulation of marine Synechococcus elemental stoichiometry under global change (DOI:10.1093/ismejo/wrae046).\n\ncdm_data_type = Other\nVARIABLES:\nProtein_ID_long_form (unitless)\nProtein_ID_short_form (unitless)\nGene_name1 (unitless)\nGene_name2 (unitless)\nProtein_name (unitless)\nMolecular_Weight (kilodalton (kDa))\nPeptide_Count (unitless)\nSample_Number (unitless)\nTemp_chemostat (Degrees Celsius)\n... (4 more variables)\n | BCO-DMO | bcodmo_dataset_923159_v1 |