| Contributors | Affiliation | Role |
|---|---|---|
| Arnosti, Carol | University of North Carolina at Chapel Hill (UNC-Chapel Hill) | Principal Investigator |
| Lloyd, Chad | University of North Carolina at Chapel Hill (UNC-Chapel Hill) | Scientist |
| Vidal, Silvia | Max Planck Institute for Marine Microbiology (MPI) | Scientist |
| Ghobrial, Sherif | University of North Carolina at Chapel Hill (UNC-Chapel Hill) | Data Manager |
| Mickle, Audrey | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Collection
Water was collected via Niskin bottles mounted on a rosette, equipped with a CTD in the western North Atlantic Ocean aboard R/V Endeavor (EN638) during May 2019. Seawater was transferred to carboys that were rinsed three times with water from the sampling depth and then filled with seawater from a single Niskin bottle.
Particulate organic matter (POM) was harvested by filtering between 5-15 liters of seawater through a 47-mm pre-combusted (400℃ for 6 hours) glass fiber filter (GF/F; nominal pore size 0.7 μm; for volumes filtered at each depth and station, see the dataset). Filers were stored at -80C until further analysis. The same filter was used for both particulate organic carbon (POC) measurements and monosaccharide composition analysis.
Analysis
Polysaccharide extraction for microarray analyses of POM
POM samples were prepared for polysaccharide analysis according to Vidal-Melgosa et al. (2021). Polysaccharides were sequentially extracted from four filter piece punches (11.2 mm diameter) from GF/F filters. The samples were first extracted with autoclaved MilliQ water, followed by 50 mM EDTA, and finally 4 M NaOH with 0.1% NaBH4. The supernatant containing extracted polysaccharides was collected from each of the sequential steps and stored at 4 °C.
Carbohydrate microarray analysis to determine structural complexity of POM
The polysaccharides extracted as described above were analyzed following Vidal-Melgosa et al. (2021). In brief, the polysaccharide extracts were first diluted in printing buffer (55.2% glycerol, 44% water, 0.8% Triton X-100), and then printed on 0.45 µm pore size nitrocellulose membrane (Whatman) using a microarray robot (Sprint, Arrayjet, Roslin, UK) at 20 °C and 50% humidity. The membranes were probed with one of 9 monoclonal antibodies, washed multiple times, and probed with secondary antibodies (anti-rat, anti-mouse, or anti-His tag) conjugated to alkaline phosphatase for 2 hours. The arrays were developed using 5-bromo-4-chloro-3-indolyphosphate and nitro blue tetrazolium in alkaline phosphatase buffer (100 mM NaCl, 5 mM MgCl2, 100 mM Tris-HCl, pH 9.5). The microarrays were scanned and signal intensity was acquired using the software Array-Pro Analyzer 6.3 (Media Cybernetics). Signals were normalized among samples; higher signals correspond to a higher abundance of a given polysaccharide epitope. Note that the carbohydrate microarray data are only semiquantitative; while comparisons can be made for the abundance of a given epitope between stations and depths, the signal intensity cannot be used to compare signals of different epitopes.
Data processed using Microsoft Excel.
- Imported "20250724_Carbohydrate Microarray (epitope) Analyses_Data_BCODMO.csv" into the BCO-DMO system
- Converted "date" and "time" to one date time parameter, "ISO_DateTime_EST"
- Created a new datetime parameter in UTC "ISO_DateTime_UTC"
- Removed "date" and "time" as redundant
- Replaced "Stn" string with "stn" string in the "station" field to be consistent with other datasets in this project
- Exported file as "985786_v1_carb_microarray_epitope.csv"
| Parameter | Description | Units |
| deployment | Cruise ID on R/V Endeavor | unitless |
| station | Cruise station number (17, 18, 19, 20) | unitless |
| latitude | Latitude, south is negative | decimal degrees |
| longitude | Longitude, west is negative | decimal degrees |
| ISO_DateTime_Local | Datetime of sample collection in ISO format, US Eastern Time (ET) | unitless |
| ISO_DateTime_UTC | Datetime of sample collection in ISO format, UTC | unitless |
| cast_number | Cast number at station (refers to cast of CTD/Niskin bottles on cruise at each station) | unitless |
| depth_sequence | Sequence of depths sampled (d1 is surface; higher numbers at greater depths; d2 is DCM = deep chlorophyll maximum as indicated by chlorophyll-a detection via CTD, etc.) | unitless |
| depth_actual | Actual depth at which water was collected | meters |
| POM_L_filtered | The amount of seawater filtered (liters) for carbohydrate microarray (epitope) analyses of POM-derived carbohydrates | Liters |
| epitope | The specific polysaccharide epitope detected for each sample. Note these are relative to the specific antibodies; therefore, you can compare signals between stations/depths between an individual epitope, but cannot compare signals between epitopes, as the binding affinity for a specific polysaccharide structure varies between epitopes | unitless |
| H2O | The semi-quantiative signal output for each antibody when H2O was used (initially) for extraction of the polysaccharides. Note that this was part of a sequential extraction, so polysaccharides that were fully extracted with H2O may not show up in subsequent extractions | unitless |
| EDTA | The semi-quantiative signal output for each antibody when EDTA was used for extraction of the polysaccharides following H2O. Note that this was a sequential extraction, so polysaccharides that were fully extracted may not show up in subsequent extractions | unitless |
| NaOH | The semi-quantiative signal output for each antibody when NAOH was used for extraction of the polysaccharides following H2O and EDTA | unitless |
| Dataset-specific Instrument Name | CTD |
| Generic Instrument Name | CTD Sea-Bird SBE 911plus |
| Dataset-specific Description | Water was collected via Niskin bottles mounted on a rosette, equipped with a CTD in the western North Atlantic Ocean aboard R/V Endeavor (EN638) during May 2019. |
| Generic Instrument Description | The Sea-Bird SBE 911 plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure. The SBE 911 plus includes the SBE 9plus Underwater Unit and the SBE 11plus Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 plus and SBE 11 plus is called a SBE 911 plus. The SBE 9 plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 plus and SBE 4). The SBE 9 plus CTD can be configured with up to eight auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). more information from Sea-Bird Electronics |
| Dataset-specific Instrument Name | Array-Pro Analyzer 6.3 (Media Cybernetics) |
| Generic Instrument Name | microarray scanner |
| Dataset-specific Description | The microarrays were scanned and signal intensity was acquired using the software Array-Pro Analyzer 6.3 (Media Cybernetics). |
| Generic Instrument Description | Microarray scanners are instruments used to detect and quantify the intensity of fluorescence of spots on a microarray slide, by selectively exciting fluorophores with a laser and measuring the fluorescence.
A microarray scanner typically consists of lasers, a special microscope, and a camera. The DNA material in the microarray is labeled with fluorescents which become excited by the lasers in the scanner. The microscope and camera work together to create a digital image of the array. |
| Dataset-specific Instrument Name | Niskin bottles |
| Generic Instrument Name | Niskin bottle |
| Dataset-specific Description | Water was collected via Niskin bottles mounted on a rosette, equipped with a CTD in the western North Atlantic Ocean aboard R/V Endeavor (EN638) during May 2019. |
| Generic Instrument Description | A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc. |
| Website | |
| Platform | R/V Endeavor |
| Start Date | 2019-05-15 |
| End Date | 2019-05-30 |
| Description | Underway datasets (and their DOIs) provided by R2R are the following. Click the cruise DOI for more general information
ADCP: 10.7284/134159
Anemometer: 10.7284/134174
Anemometer: 10.7284/134176
CTD: 10.7284/134160
GNSS: 10.7284/134158
GNSS: 10.7284/134167
GNSS: 10.7284/134168
GNSS: 10.7284/134170
Gyrocompass: 10.7284/134161
Gyrocompass: 10.7284/134162
Met Station: 10.7284/134166
Radiometer: 10.7284/134163
Radiometer: 10.7284/134164
Singlebeam Sonar: 10.7284/134172
Speed Log: 10.7284/134169
Time Server: 10.7284/134171
TSG: 10.7284/134165
TSG: 10.7284/134173
Winch: 10.7284/134175 |
NSF Award Abstract:
Marine dissolved organic matter (DOM) is one of the largest actively-cycling reservoirs of organic carbon on the planet, and thus a major component of the global carbon cycle. The high molecular weight (HMW) fraction of DOM is younger in age and more readily consumed by microbes than lower molecular weight (LMW) fractions of DOM, but the reasons for this difference in reactivity between HMW DOM and LMW DOM are unknown. Two factors may account for the greater reactivity of HMW DOM: (i) targeted uptake of HMW DOM by specific bacteria, a process the PI and her collaborators at the Max Planck Institute for Marine Microbiology (MPI) recently identified in surface ocean waters; and (ii) a greater tendency of HMW DOM to aggregate and form gels and particles, which can be colonized by bacteria that are well-equipped to breakdown organic matter. Scientists and students from the University of North Carolina (UNC) - Chapel Hill will collaborate with researchers at the MPI for Marine Microbiology (Bremen, Germany) to investigate this breakdown of HMW DOM by marine microbial communities. These investigations will include a field expedition in the North Atlantic, during which HMW DOM degradation rates and patterns will be compared in different water masses and under differing conditions of organic matter availability. DOM aggregation potential, and degradation rates of these aggregates, will also be assessed. Specialized microscopy will be used in order to pinpoint HMW DOM uptake mechanisms and rates. The work will be complemented by ongoing studies of specific bacteria that breakdown HMW DOM, their genes, and their proteins. Graduate as well as undergraduate students will participate as integral members of the research team in all aspects of the laboratory and field work; aspects of the project will also be integrated into classes the scientist teaches at UNC.
The existence of a size-reactivity continuum of DOM - observations and measurements showing that HMW DOM tends to be younger and more reactive than lower MW DOM - has been demonstrated in laboratory and field investigations in different parts of the ocean. A mechanistic explanation for the greater reactivity of HMW DOM has been lacking, however. This project will investigate the mechanisms and measure rates of HMW DOM degradation, focusing on identifying the actors and determining the factors that contribute to rapid cycling of HMW DOM. Collaborative work at UNC and MPI-Bremen recently identified a new mechanism of HMW substrate uptake common among pelagic marine bacteria: these bacteria rapidly bind, partially hydrolyze, and transport directly across the outer membrane large fragments of HMW substrates that can then be degraded within the periplasmic space, avoiding production of LMW DOM in the external environment. This mode of substrate processing has been termed selfish, since targeted HMW substrate uptake sequesters resources away from other members of microbial communities. Measurements and models thus must account for three modes of substrate utilization in the ocean: selfish, sharing (external hydrolysis, leading to low molecular weight products), and scavenging (uptake of low molecular weight hydrolysis products without production of extracellular enzymes). Using field studies as well as mesocosm experiments, the research team will investigate the circumstances and locations at which different modes of substrate uptake predominate. A second focal point of the project is to determine the aggregation potential and microbial degradation of aggregated HMW DOM. Preliminary studies have demonstrated that particle-associated microbial communities utilize a broader range of enzymatic capabilities than their free-living counterparts. These capabilities equip particle-associated communities to effectively target a broad range of complex substrates. The project will thus focus on two key aspects of HMW DOM - the abilities of specialized bacteria to selectively sequester HMW substrates, as well as the greater potential of HMW substrates to aggregate ? and will quantify these factors at different locations and depths in the ocean. The project will thereby provide a mechanistic underpinning for observations of the DOC size-reactivity continuum, an essential part of developing an overall mechanistic understanding of organic matter degradation in the ocean.
| Funding Source | Award |
|---|---|
| NSF Division of Ocean Sciences (NSF OCE) |