Contributors | Affiliation | Role |
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Halsey, Kimberly | Oregon State University (OSU) | Principal Investigator |
Giovannoni, Stephen | Oregon State University (OSU) | Co-Principal Investigator |
York, Amber D. | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
See the "Related Datasets" section for more data from this study with Synechococcus WH8102.
PTR ToF-MS in the name of this dataset refers to proton-transfer reaction time-of-flight mass spectrometry (PTR-TOF/MS).
Methodology:
Volatile organic compounds (VOCs) were sampled and measured using dynamic stripping chambers coupled to a proton transfer reaction time-of-flight mass spectrometer (Moore et al. 2020). VOC concentrations (ppbv) are exported directly from the PTR-MS Viewer 3.2.1.2 software (Ionicon Analytik GmbH, Innsbruck, Austria) into .txt files. Air concentrations for each m/z (+1) detected are reported already corrected for mass calibration, transmission efficiencies, and primary ion signals. Data include experiment, culture conditions, and flow conditions. 2-point calibration mode, 0.3 m/z search range, cycle 1000, and using an average of 10 spectra.
Sampling and analytical procedures:
Samples are measured directly from cultures or media blanks. Culture conditions are given as the growth phase (exponential or stationary phase). Cell densities are provided. The protocol is well described in Moore et al. (2020).
Media recipe:
Artificial seawater + 882 μM NO3 + 36.2 μM PO4 + 106 μM Si + 1x f/2 Trace metal mix + 1 x f/2 Vitamin mix
VOC concentrations (ppbv) are exported directly from the PTR-MS Viewer 3.4.4 software (Ionicon Analytik GmbH, Innsbruck, Austria) into .txt files. Air concentrations for each m/z (+1) detected are reported already corrected for mass calibration, transmission efficiencies, and primary ion signals.
BCO-DMO Data Manager Processing Notes:
* Data from source file "P.tricorn and cocultures data repositoryv3.xlsx", all sheets starting with name "Sample_*", were imported into the BCO-DMO data system and combined into one data table.
* Information from sheet "Sample Information" added to metadata text on this page, and a supplemental data table titled "Sample Information: Phaeodactylum tricornutum and cocultures" added to the Supplemental File section of this page.
* Values "NA" in the source file were classified as missing data identifiers.
* Parameters (column names) renamed to comply with BCO-DMO naming conventions. See https://www.bco-dmo.org/page/bco-dmo-data-processing-conventions
* Data table unpivoted. Format of the data table converted from wide form where there were data columns for each mz_value containing mz_signals. Converted to long format data table where there is a column "mz_value" and a column "mz_signal."
* Data table sorted by {Sample_Name}{Sample_Replicate}{Sample_Tech}{mz_value}{Time_seconds}
* Missing data values (Blank/Null) values in this dataset are displayed according to the format of data you access. For example, in csv files it will be blank values. In Matlab .mat files it will be NaN values. When viewing data online at BCO-DMO, the missing value will be shown as "nd" meaning "no data." See https://www.bco-dmo.org/page/bco-dmo-data-processing-conventions
* After discussion with the submitter, sample name "SatppiaARW1T_PT_coculture" changed to "StappiaARW1T_PT_coculture"
* taxa and taxon ids associated with each sample name reviewed by submitter and attached as a supplemental file.
* Time_seconds rounded to tenth decimal place.
File |
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871602_v1_mz-p-trico-and-cocultures.csv (Comma Separated Values (.csv), 34.77 MB) MD5:3194ce4d3ac6d63f33d718e7e8fcb325 Primary data file for dataset ID 871602, version 1 |
File |
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Sample Information: Phaeodactylum tricornutum and cocultures filename: sample_info_P_trico_adn_cocultures.csv (Comma Separated Values (.csv), 1.12 KB) MD5:32b7297984e4de8c9bbe5d19c4b6824c Additional sample metadata.Columns:FilenameSample NameSample typeLight (μEin/m2/s)Light: darkTemperature (Celcius)MediaFlow (ml/min)Ion ModeReplicatesGrowth PhaseCell_density (Cells/ml) |
Taxon list with identifiers filename: taxon_ids.csv (Comma Separated Values (.csv), 669 bytes) MD5:b756ac068ba04f5556972098eaac8576 Table with the sample name as it appears in the dataset, the associated taxon and identifiers.Columns:name_in_dataset, Sample name as it appears in the datasettaxon, taxon associated with the name in the datasetAphiaID, taxon identifier for the taxon. Aphia ID, see World Register of Marine Speices (WoRMS) for more information.LSID, Lifescience Identifier for the taxon |
Parameter | Description | Units |
Sample_Name | Microbe in culture or coculture with Phaeodactylum tricornutum | unitless |
Sample_Name_internal | Internal reference for culture | unitless |
Sample_Replicate | Biological replicate | unitless |
Sample_Tech | Technical replicate | unitless |
Time_seconds | time of sampling period (seconds) | seconds (s) |
mz_value | Mass-to-charge (m/z) +1 value identified by PTR-MS. This is the atomic mass plus 1 for a chemical compound detected by the mass spectrometer. | unitless |
mz_signal | Mass-to-charge (m/z) signal | parts per billion by volume (ppbv) |
Dataset-specific Instrument Name | TOF-1000 |
Generic Instrument Name | Mass Spectrometer |
Dataset-specific Description | Proton transfer reaction time of flight mass spectrometer. Ionicon Analytik, Innsbruck, Austria. TOF-1000. |
Generic Instrument Description | General term for instruments used to measure the mass-to-charge ratio of ions; generally used to find the composition of a sample by generating a mass spectrum representing the masses of sample components. |
NSF Award Abstract:
Communication amongst plants and animals often occurs through molecules that readily evaporate at normal temperatures, called volatile organic compounds (VOCs). Some VOCs that are produced in the ocean and then enter the atmosphere as gases have been seen to play an important role in climate. Since marine microbes both produce and consume these compounds they affect the concentration of VOCs in the surface ocean. The investigators found that as much as 20% of the carbon resulting from photosynthesis leaked out of microscopic plants in the form of VOCs. These molecules were then used by bacteria as a source of carbon and energy. This suggests that VOCs may play a more important role in the flow of carbon in the marine environment than previously thought. This project examines how microscopic plants and bacteria produce and consume different VOCs. It supports professional development training workshops for Oregon high school teachers from rural areas in OSU’s Science & Math Investigative Learning Experiences (SMILE) program. SMILE’s mission is to close the achievement gap for underserved students by increasing their STEM-content knowledge, preparing them to succeed in higher education, and inspiring them to pursue STEM careers. This project also contributes to three workshops per year, training teachers and engaging students with hands-on learning activities on the topic of Carbon Cycling by Marine Microorganisms such as “Clouds in a Bottle”. One graduate student, one post-doctoral scholar, and at least six undergraduate researchers are being trained by participating in research activities.
Field observations suggest that volatile organic compounds (VOCs) produced by phytoplankton are either rapidly consumed by bacterioplankton in the surface ocean or emitted into the atmosphere. VOCs are an understudied path for carbon transfer in microbial food webs throughout sunlit marine ecosystems because these compounds require specialized detection methods. Using a new system to study VOCs in suspensions of live plankton cells, 20% of photosynthetic carbon fixation was seen to be transferred as VOCs from a diatom to SAR11 bacterioplankton in co-cultures. Many of these transferred VOC compounds were not known to be growth substrates for bacterioplankton. Both the magnitude and complexity of the observed VOC transfer were surprising. This project extends these observations to a larger set of phytoplankton and bacterioplankton through controlled studies of cultures, co-cultures, and mesocosms. VOC are detected via proton transfer reaction time-of-flight mass spectrometry and isotopic labeling is used to measure the impact of VOC exchange on rates of photosynthesis and bacterial production. VOC production by phytoplankton is measured in response to nutrient-driven variation in growth rates, and over day-night cycles to discern the relationship of VOC production to photosynthetic metabolism and other cellular processes. These experiments enable a better understanding of field observations, in which bacterial consumption of VOCs can appear to significantly outpace production, while temporal variability in VOC production across daily to seasonal scales can cause VOCs to accumulate transiently to pM-nM concentrations in the surface ocean. This project contributes to close the significant gap in knowledge about the range and quantity of VOCs produced by phytoplankton, and about the roles played by these compounds in phytoplankton metabolism.
This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |