Contributors | Affiliation | Role |
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Moran, Mary Ann | University of Georgia (UGA) | Principal Investigator |
Kiene, Ronald P. | Dauphin Island Sea Lab (DISL) | Co-Principal Investigator |
Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Grab samples were taken using Niskin bottles that collected seawater at the same depth and location of the Environmental Sample Processor deployed at Station M0 (36.835 N, 121.901W). Water was transferred to a low-density polyethylene cubitainer and maintained at ambient temperature until return to lab within 30 min.
Chlorophyll a: 150 ml of seawater was filtered through a 25 mm GF/F filter in triplicate using a vacuum pump and <5 in Hg pressure. The filter was placed in a glass scintillation vial and 10 ml of 90% acetone was added and placed in -20 freezer for at least 24 hours to extract the pigment. Extracted chlorophyll a was quantified using fluorometry (Pennington and Chavez, 2000).
Flow Cytometry: Cubitainer seawater was transferred to a 50 ml Falcon tube using laminar flow. 1.8 ml was then aliquoted to triplicate cryovials and preserved with 200 ul of 5% glutaraldehyde and stored at -80 degrees C. Analysis was run on a Beckman Coulter Altra flow cytometer for detection of DNA, pigments, and forward and side light scatter (Monger and Landry, 1993).
Akashiwo Microscopy Counts: 7 - 14 ml of seawater was preserved to 1% final concentration electron microscopy grade glutaraldehyde and stored at 4 degrees C. Slides were made by filtering the full volume onto a 0.22 um black polycarbonate filter (GE Water & Process Technologies) using a vacuum pump (<5 in Hg), and cells were counted under epifluorescence microscopy.
DMSP concentrations: Immediately upon return to the deck, duplicate samples were collected from the Niskin bottle for in situ dissolved DMSP (DMSPd) (see details below) before seawater transfer to the cubitainer. Upon return to the laboratory, the cubitainer of water was gently mixed by inversion and three replicate 10 ml sub-samples were removed by pipette into individual 15 ml centrifuge tubes (Corning, polypropylene). The samples were immediately acidified with 0.3 ml of 50% concentrated HCl (1.5% final concentration of concentrated HCl) to preserve total DMSP (dissolved plus particulate). These DMSPt samples were closed tightly and stored until analysis (described below) which took place within three months of collection.
DMSPd consumption: To measure the consumption rate of dissolved DMSP, we used the glycine betaine (GBT) inhibition technique (Kiene & Gerard, 1995; Li et al., 2016). Immediately upon return to the laboratory, six 500 ml glass bottles were filled with seawater from the gently-mixed cubitainer. Three of the bottles were treated with 25 ul of a 100 mM GBT anhydrous reagent (Sigma) solution (10 uM final GBT concentration), and three were left untreated as controls. Bottles were incubated in seawater maintained within 1 degree C of the in situ temperature. Immediately after GBT addition, the first time point was collected by simultaneously filtering ~50 ml sub-samples from each bottle through 47 mm Whatman GF/F filters using the small volume gravity drip filtration protocol of Kiene and Slezak (2006). The first 3.5 ml of filtrate from each sample was collected into 15 ml centrifuge tubes (Corning, polypropylene) that contained 100 ul of 50% HCl to immediately preserve any DMSP passing through the GF/F filter, which is defined as dissolved DMSP (DMSPd). Additional time points from each bottle were collected at 3 and 6 h. The rate of change of DMSPd in no-treatment bottles was subtracted from the rate of change in the +GBT bottles to obtain an estimate of DMSPd consumption rate (Kiene and Gerard, 1995).
< 5 µm DMSPd: The DMSP that was less than 5 µm was measured in water from the cubitainer in the lab, using the drip filtration protocol, as described above for DMSPd, except that a 5.0 µm pore size, track-etched polycarbonate filter was used for the filtration.
DMSP Analysis: DMSP was quantified by proxy as the amount of DMS released from samples after alkaline cleavage (White, 1982). For DMSPt, 0.05 to 0.5 ml of each preserved sample was pipetted into a 14 ml glass serum vial, with the volume being adjusted based on the concentration of DMSPt in the sample. For DMSPd, the volume pipetted was 1.0 to 3.0 ml. Each serum vial was treated with 1 ml of 5 M NaOH and capped with a Teflon-faced serum stopper (Wheaton). After 1 h, the amount of DMS in each vial was quantified by purge and trap gas chromatography with flame photometric detection. Briefly, each vial was attached to the purge system and a flow of helium (90-100 ml per minute) allowed bubbling of the solution. An excurrent needle led to a Nafion dryer and six-port valve (Valco). The DMS in the samples was cryotrapped in a Teflon tubing loop immersed in liquid nitrogen. After a 4 min sparge, during which >99% of the DMS in the samples was removed, hot water replaced the liquid nitrogen to introduce the DMS into the Shimadzu GC-2014 gas chromatograph. Separation of the sulfur gases was achieved with a Chromosil 330 column (Supelco; Sigma) maintained at 60 degrees C with a helium carrier flow of 25 ml per minute. The flame photometric detector was operated in sulfur mode and maintained at 175 degrees C. Minimum detection limits during this study were 0.5 to 1 pmol DMS per sample with minimum detectable concentrations ranging from 0.17 to 10 nM, depending on the volume analyzed. The GC-FPD system was calibrated with a gas stream containing known amounts of DMS from a permeation system.
Problem report: For November chlorophyll a samples, fluorescence after acid addition not measured but estimated from samples with similar total fluorescence (Pennington and Chavez, 2000).
BCO-DMO Processing:
- modified parameter names (removed units; replaced spaces with underscores);
- re-formatted date to yyyy-mm-dd;
- added date/time columns (Local and UTC) in ISO8601 format;
- filled in blank cells with "nd" (no data);
- 2019-11-08: replaced data with version 2.
File |
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2016_Niskin.csv (Comma Separated Values (.csv), 6.54 KB) MD5:eae93c1308818ba00b7626176a532f5a Primary data file for dataset ID 756413 |
Parameter | Description | Units |
Date | Date. Format: yyyy-mm-dd. | unitless |
Time_Pacific | Time (Pacific time zone). Format: HH:MM. | unitless |
ISO_DateTime_Local | Date and time (local) formatted to ISO8601 standard. | unitless |
Depth | Sampling depth | meters (m) |
Chlorophyll_a | Chlorophyll a | micrograms per liter (ug/L) |
DMSPd_in_situ | Dissolved DMSP sampled on boat immediately after seawater collection | nanomolar (nM) |
DMSPd_lab | Dissolved DMSP sampled after seawater transferred to lab | nanomolar (nM) |
DMSPt | Total DMSP | nanomolar (nM) |
picophotosynthetic_eukaryotes | Determined by flow cytometry; relative estimate of size; cells with lowest scatter signatures | cells per milliliter (cells/mL) |
nanophotosynthetic_eukaryotes | Determined by flow cytometry; relative estimate of size; cells with intermediate scatter signatures | cells per milliliter (cells/mL) |
microphotosynthetic_eukaryotes_group_1 | Determined by flow cytometry; relative estimate of size; cells with highest scatter and chlorophyll signatures | cells per milliliter (cells/mL) |
microphotosynthetic_eukaryotes_group_2 | Determined by flow cytometry; relative estimate of size; cells with highest scatter and a bit lower chlorophyll signatures | cells per milliliter (cells/mL) |
DMSPd_consumption_rate | Dissolved DMSP consumption rate | nM/d |
lt_5_um_DMSPd | Dissolved DMSP concentration of seawater filtered through 5 µm filter | nanomolar (nM) |
Photosynthetic_eukaryotes | Determined by flow cytometry | cells per milliliter (cells/mL) |
Heterotrophic_bacteria | Determined by flow cytometry | cells per milliliter (cells/mL) |
Synechococcus | Determined by flow cytometry | cells per milliliter (cells/mL) |
Akashiwo | Determined by microscopy | cells per milliliter (cells/mL) |
Chlorophyll_a_stdev | Standard deviation of Chlorophyll_a (n = 3) | micrograms per liter (ug/L) |
DMSPd_in_situ_stdev | Standard deviation of DMSPd_in_situ (n = 3) | nanomolar (nM) |
DMSPd_lab_stdev | Standard deviation of DMSPd_lab (n =3) | nanomolar (nM) |
DMSPt_stdev | Standard deviation of DMSPt (n = 3) | nanomolar (nM) |
picophotosynthetic_eukaryotes_stdev | Standard deviation of picophotosynthetic_eukaryotes (n = 2) | cells per milliliter (cells/mL) |
nanophotosynthetic_eukaryotes_stdev | Standard deviation of nanophotosynthetic_eukaryotes (n = 2) | cells per milliliter (cells/mL) |
microphotosynthetic_eukaryotes_group_1_stdev | Standard deviation of microphotosynthetic_eukaryotes_group_1 (n = 2) | cells per milliliter (cells/mL) |
microphotosynthetic_eukaryotes_group_2_stdev | Standard deviation of microphotosynthetic_eukaryotes_group_2 (n = 2) | cells per milliliter (cells/mL) |
lt_5_um_DMSPd_stdev | Standard deviation of lt_5_um_DMSPd (n = 3) | nanomolar (nM) |
Photosynthetic_eukaryotes_stdev | Standard deviation of Photosynthetic_eukaryotes (n = 2) | cells per milliliter (cells/mL) |
Heterotrophic_bacteria_stdev | Standard deviation of Heterotrophic_bacteria (n = 2) | cells per milliliter (cells/mL) |
Synechococcus_stdev | Standard deviation of Synechococcus (n = 2) | cells per milliliter (cells/mL) |
ISO_DateTime_UTC | Date and time (converted to UTC) formatted to ISO8601 standard. | unitless |
Dataset-specific Instrument Name | Beckman Coulter Altra |
Generic Instrument Name | Flow Cytometer |
Generic Instrument Description | Flow cytometers (FC or FCM) are automated instruments that quantitate properties of single cells, one cell at a time. They can measure cell size, cell granularity, the amounts of cell components such as total DNA, newly synthesized DNA, gene expression as the amount messenger RNA for a particular gene, amounts of specific surface receptors, amounts of intracellular proteins, or transient signalling events in living cells.
(from: http://www.bio.umass.edu/micro/immunology/facs542/facswhat.htm) |
Dataset-specific Instrument Name | Shimadzu GC-2014 gas chromatograph |
Generic Instrument Name | Gas Chromatograph |
Generic Instrument Description | Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC) |
Dataset-specific Instrument Name | Turner Designs 10-AU Fluorometer |
Generic Instrument Name | Turner Designs Fluorometer 10-AU |
Generic Instrument Description | The Turner Designs 10-AU Field Fluorometer is used to measure Chlorophyll fluorescence. The 10AU Fluorometer can be set up for continuous-flow monitoring or discrete sample analyses. A variety of compounds can be measured using application-specific optical filters available from the manufacturer. (read more from Turner Designs, turnerdesigns.com, Sunnyvale, CA, USA) |
Website | |
Platform | Environmental Sample Processor |
Start Date | 2016-09-23 |
End Date | 2016-11-16 |
Surface ocean bacterioplankton preside over a divergence point in the marine sulfur cycle where the fate of dimethylsulfoniopropionate (DMSP) is determined. While it is well recognized that this juncture influences the fate of sulfur in the ocean and atmosphere, its regulation by bacterioplankton is not yet understood. Based on recent findings in biogeochemistry, bacterial physiology, bacterial genetics, and ocean instrumentation, the microbial oceanography community is poised to make major advances in knowledge of this control point. This research project is ascertaining how the major taxa of bacterial DMSP degraders in seawater regulate DMSP transformations, and addresses the implications of bacterial functional, genetic, and taxonomic diversity for global sulfur cycling.
The project is founded on the globally important function of bacterial transformation of the ubiquitous organic sulfur compound DMSP in ocean surface waters. Recent genetic discoveries have identified key genes in the two major DMSP degradation pathways, and the stage is now set to identify the factors that regulate gene expression to favor one or the other pathway during DMSP processing. The taxonomy of the bacteria mediating DMSP cycling has been deduced from genomic and metagenomic sequencing surveys to include four major groups of surface ocean bacterioplankton. How regulation of DMSP degradation differs among these groups and maps to phylogeny in co-occurring members is key information for understanding the marine sulfur cycle and predicting its function in a changing ocean. Using model organism studies, microcosm experiments (at Dauphin Island Sea Lab, AL), and time-series field studies with an autonomous sample collection instrument (at Monterey Bay, CA), this project is taking a taxon-specific approach to decipher the regulation of bacterial DMSP degradation.
This research addresses fundamental questions of how the diversity of microbial life influences the geochemical environment of the oceans and atmosphere, linking the genetic basis of metabolic potential to taxonomic diversity. The project is training graduate students and post-doctoral scholars in microbial biodiversity and providing research opportunities and mentoring for undergraduate students. An outreach program is enhance understanding of the role and diversity of marine microorganisms in global elemental cycles among high school students. Advanced Placement Biology students are participating in marine microbial research that covers key learning goals in the AP Biology curriculum. Two high school students are selected each year for summer research internships in PI laboratories.
(adapted from the NSF Synopsis of Program)
Dimensions of Biodiversity is a program solicitation from the NSF Directorate for Biological Sciences. FY 2010 was year one of the program. [MORE from NSF]
The NSF Dimensions of Biodiversity program seeks to characterize biodiversity on Earth by using integrative, innovative approaches to fill rapidly the most substantial gaps in our understanding. The program will take a broad view of biodiversity, and in its initial phase will focus on the integration of genetic, taxonomic, and functional dimensions of biodiversity. Project investigators are encouraged to integrate these three dimensions to understand the interactions and feedbacks among them. While this focus complements several core NSF programs, it differs by requiring that multiple dimensions of biodiversity be addressed simultaneously, to understand the roles of biodiversity in critical ecological and evolutionary processes.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |