| Contributors | Affiliation | Role |
|---|---|---|
| Van Mooy, Benjamin A.S. | Woods Hole Oceanographic Institution (WHOI) | Principal Investigator |
| Lowenstein, Daniel | Woods Hole Oceanographic Institution (WHOI) | Student |
| Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Methods on EN667:
One liter (L) samples were collected via CTD rosette for particulate lipid, carbohydrate, and organic carbon samples. Samples were filtered onto 47-millimeter (mm) 0.2-micrometer (um) Durapore filters (lipids, carbs; Millipore) and 25 mm 0.7 um GF/F filters (POC; Whatman), flash frozen in liquid nitrogen, and stored in LN2 headspace until extraction.
Lipid samples were processed and analyzed according to Holm et al. (2022), and quantified via Holm et al. (2024). Per-liter particulate lipid values are reported in peak area and femtomoles per liter. All values for all compounds were blank-corrected using the average of five 1-L filtered seawater blanks collected from the sea surface on EN667.
Methods on SR2320:
One liter samples were collected via CTD rosette for particulate lipid, carbohydrate, and organic carbon samples. Samples were filtered onto 47 mm 0.2 um Durapore filters (lipids, carbs; Millipore) and 25 mm 0.7 um GF/F filters (POC; Whatman), flash frozen in liquid nitrogen, and stored in LN2 headspace until extraction.
Lipid samples were processed and analyzed according to Holm et al. (2022), and quantified via Holm et al. (2024). Per-liter particulate lipid values are reported in peak area and femtomoles per liter. All values for all compounds were blank-corrected using the average of twenty 0.2 um Durapore filters processed and analyzed alongside sample filters.
Methods on AE2320:
Two liter samples were collected via CTD rosette for particulate lipid, carbohydrate, and organic carbon samples. Samples were filtered onto 47 mm 0.2 um Durapore filters (lipids, carbs; Millipore) and 25 mm 0.7 um GF/F filters (POC; Whatman), flash frozen in liquid nitrogen, and stored in LN2 headspace until extraction.
Lipid samples were processed and analyzed according to Holm et al. (2022), and quantified via Holm et al. (2024). Per-liter particulate lipid values are reported in peak area and femtomoles per liter. All values for all compounds were blank-corrected using the average of seven 2-L filtered seawater blanks collected from the surface on AE2320.
For data from all cruises:
Lipids were annotated using the LOBSTAHS package in the R-language (Collins et al. 2015), which utilizes the xcms (Tautenham et al. 2008; Smith et al. 2006) and CAMERA (Kuhl et al. 2012) packages.
- Imported the three original CSV files (AE2320_RIPPLE_3_triacylglycerol_data.csv, SR2310_RIPPLE_2_triacylglycerol_data.csv, EN667_RIPPLE_1_triacylglycerol_data.csv) into the BCO-DMO system.
- Treated "NA" as a missing value (missing values are empty/blank in the final CSV file).
- Concatenated the three files into a single file, adding a column for Cruise_Name."
- Converted the original "Time_UTC" column into ISO_DateTime_UTC (format %Y-%m-%dT%H:%MZ) and renamed it to "ISO_DateTime_UTC".
- Renamed fields to comply with BCO-DMO naming conventions.
- Saved the final file as "997821_v1_lipids_RIPPLE_cruises.csv".
| Parameter | Description | Units |
| Cruise_ID | Cruise ID | unitless |
| Cruise_Name | description | units |
| Lat | Sampling Site Latitude (North is positive) | decimal degrees |
| Long | Sampling Site Longitude (West is negative) | decimal degrees |
| ISO_DateTime_UTC | Sampling date and time (UTC) in ISO 8601 format | unitless |
| Cast | CTD Cast Number | unitless |
| Depth | Depth | meters |
| compound_name | compound name | unitless |
| elem_formula | elemental formula | unitless |
| LOBdbase_mz | theoretical compound mass:charge ratio in LOBSTAHS lipid database | Atomic Mass Units |
| lipid_class | lipid class | unitless |
| species | lipid headgroup species | unitless |
| FA_total_no_C | fatty acid number of carbon atoms | carbon atoms |
| FA_total_no_DB | fatty acid number of double bonds | double bonds |
| degree_oxidation | fatty acid number of peroxidations | additional acyl oxygen atoms |
| peak_area_per_L | LC-MS peak area per liter | blank corrected LC-MS peak area per liter |
| fmol_per_L | femtomoles per liter | blank corrected femtomoles per liter |
| Dataset-specific Instrument Name | Agilent 1100 high performance chromatography system |
| Generic Instrument Name | High-Performance Liquid Chromatograph |
| Dataset-specific Description | Lipids were analyzed on Thermo Scientific QExactive Mass spectrometer with Agilent 1100 high performance chromatography system |
| Generic Instrument Description | A High-performance liquid chromatograph (HPLC) is a type of liquid chromatography used to separate compounds that are dissolved in solution. HPLC instruments consist of a reservoir of the mobile phase, a pump, an injector, a separation column, and a detector. Compounds are separated by high pressure pumping of the sample mixture onto a column packed with microspheres coated with the stationary phase. The different components in the mixture pass through the column at different rates due to differences in their partitioning behavior between the mobile liquid phase and the stationary phase. |
| Dataset-specific Instrument Name | Thermo Scientific QExactive Mass spectrometer |
| Generic Instrument Name | Mass Spectrometer |
| Dataset-specific Description | Lipids were analyzed on Thermo Scientific QExactive Mass spectrometer with Agilent 1100 high performance chromatography system |
| 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. |
| Website | |
| Platform | R/V Atlantic Explorer |
| Start Date | 2023-09-04 |
| End Date | 2023-09-11 |
| Description | See additional information from R2R: https://www.rvdata.us/search/cruise/AE2320 |
| Website | |
| Platform | R/V Endeavor |
| Start Date | 2021-06-12 |
| End Date | 2021-06-22 |
| Description | See additional information at R2R: https://www.rvdata.us/search/cruise/EN667 |
| Website | |
| Platform | R/V Sally Ride |
| Start Date | 2023-05-18 |
| End Date | 2023-05-25 |
| Description | See additional information at R2R: https://www.rvdata.us/search/cruise/SR2310 |
The Production and Fate of Fats in the Upper Ocean Phytoplankton, microscopic photosynthetic organisms in the ocean, produce a type of fat called triaclyglycerols (TAGs). A recent discovery in the North Pacific Ocean showed that a significant percentage of primary production from phytoplankton is devoted to producing TAGs. This suggests that TAGs may serve as a source of energy for phytoplankton at night, when they are unable to generate energy from photosynthesis. Phytoplankton are the base of the food web in the ocean. Therefore, it is important to understand how they create and store energy. This project will investigate the role of fats in the ocean. Specifically, this research will look at: 1) factors that affect the production and use of TAGs by phytoplankton and 2) how TAGs contribute to the global carbon cycle. This project will support the training and education of graduate students. This project will also provide resources for mentoring high school students, support summer research experiences for high school and undergraduate students, and offer field trips for 7th grade students.
Triacylglycerols (TAGs) are one of the most abundant classes of lipids in the ocean. A new discovery suggests that TAGs are also a very dynamic class of biochemicals. A recent study in the surface waters of the North Pacific subtropical gyre (NPSG) showed that TAGs doubled in concentration between sunrise and sunset daily, accounting for 16 to 42% of net primary production by eukaryotic nanophytoplankton (Becker et al., 2018). These results show that TAGs are an vital component of the physiology of eukaryotic phytoplankton and that TAGs contribute significantly to the carbon cycle of the NPSG. Based on estimates from this study, daytime production of TAGs in the subtropical gyres accounted for 4 to 6 percent of total global primary production. Outside of subtropical gyres, the production rates of TAGs are entirely unknown, particularly in regions where primary production rates are higher and eukaryotic phytoplankton are more dominant. Thus, the contribution of TAGs to the global ocean carbon cycle is almost certainly underestimated. There are major outstanding questions about TAGs. What environmental factors affect rates of net TAG production? What fraction of net TAG production is exported in sinking particles? Do TAGs play a role in the food web of the euphotic zone? How much of the TAGs produced during the day do phytoplankton themselves consume at night? These questions will be answered using state-of-the-art lipidomics, in situ observations, isotope-tracing techniques, incubations, and on-deck experiments. This study will provide significant advances in our understanding of TAG metabolism in phytoplankton, elucidate the roles that TAGs play in the marine carbon cycle, constrain their global importance by studying TAGs in multiple disparate environments, and set the groundwork for future research on these fascinating and vital molecules.
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 |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) |