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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 | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963407_v1 | https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_963407_v1.graph | https://erddap.bco-dmo.org/erddap/files/bcodmo_dataset_963407_v1/ | public | [AE2413 Bacterial productivity] - Bacterial productivity of samples from three stations in the Western North Atlantic aboard R/V Atlantic Explorer cruise AE2413, during May 2024 (Collaborative Research: Pressure effects on microbially-catalyzed organic matter degradation in the deep ocean) | Heterotrophic bacteria and archaea (here: microbes) are critical drivers of the ocean's biogeochemical cycles, active throughout the depth of the ocean. Their capabilities and limitations help determine the rates and locations at which carbon and nutrients are regenerated, as well as the extent to which organic matter is preserved (Hedges 1992). In the deep ocean, at bathy- and abyssopelagic depths (ca. 1000-6000m), these communities are dependent upon the sinking flux of particulate organic matter (POM) from the surface ocean (Bergauer et al. 2018). This dependence means that heterotrophic microbial communities must produce the extracellular enzymes required to solubilize and hydrolyze high molecular weight (HMW) POM to sizes substrates suitable for cellular uptake. A recent global-scale investigation of deep-sea microbes in fact found that the genetic potential for exported (extracellular) enzymes among bacteria in deep waters was far greater than for communities in surface or mesopelagic waters (Zhao et al. 2020). We have new evidence that a substantial fraction of bacteria in bottom water from the North Atlantic Ocean use a specialized set of extracellular enzymes to rapidly take up HMW polysaccharides (Giljan et al. 2021), a substrate processing mechanism that would not be detected with the low molecular weight substrates used in most prior studies of microbial activity in the deep ocean (Nagata et al. 2010).\n \nThrough our collaboration with the Danish Center for Hadal Research, we were able to use pressurization systems and in situ specialized equipment to investigate the effects of pressures characteristic of bathy- and abyssopelagic depths on microbial communities and their extracellular enzymes in the open North Atlantic Ocean. \n \nHere we present the measurement of 3H-leucine incorporation by heterotrophic bacteria using a cold trichloroacetic acid (TCA) and microcentrifuge extraction method (Kirchman, 2001) at different sites in the Western North Atlantic aboard R/V Atlantic Explorer during during the research cruise AE2413 (2024-05-09 to 2024-05-28). All work and incubations were performed in a UNOLS isotope lab, or within designated areas at the University of North Carolina at Chapel HIll post cruise. This dataset contains collection metadata, environmental conditions, sample types and treatments, incubation conditions, substrate types, radioactivity measurements, and calculated incorporation rates of 3H-leucine.\n\ncdm_data_type = Other\nVARIABLES:\ndeployment (unitless)\n... (24 more variables)\n | https://erddap.bco-dmo.org/erddap/metadata/fgdc/xml/bcodmo_dataset_963407_v1_fgdc.xml | https://erddap.bco-dmo.org/erddap/metadata/iso19115/xml/bcodmo_dataset_963407_v1_iso19115.xml | https://erddap.bco-dmo.org/erddap/info/bcodmo_dataset_963407_v1/index.htmlTable | https://osprey.bco-dmo.org/dataset/963407
| https://erddap.bco-dmo.org/erddap/rss/bcodmo_dataset_963407_v1.rss | https://erddap.bco-dmo.org/erddap/subscriptions/add.html?datasetID=bcodmo_dataset_963407_v1&showErrors=false&email= | BCO-DMO | bcodmo_dataset_963407_v1 | |||
| log in | [EN683 Bacterial Productivity] - Bacterial Productivity measurement of bulk seawater and mesocosm experiments taken aboard the R/V Endeavor in the Western North Atlantic during the research cruise EN683 in May and June, 2022 (Substrate structural complexity and abundance control distinct mechanisms of microbially-driven carbon cycling in the ocean) | This dataset includes the measurement of 3H-leucine incorporation by heterotrophic bacteria (a proxy for bacterial productivity) using a cold trichloroacetic acid (TCA) and microcentrifuge extraction method (Kirchman, 2001). Samples were collected at different sites in the Western North Atlantic and from mesocosm experiments using seawater from those sites. All work and incubations were performed in a UNOLS isotope lab aboard R/V Endeavor during the research cruise EN683 (2022-05-24 to 2022-06-12), or within designated areas at the University of North Carolina at Chapel Hill post cruise.\n \nThis research tested the hypothesis that the mechanism of polysaccharide processing is related to the cost to a cell of producing the enzymes required for its hydrolysis, and the probability that a cell will receive sufficient return on investment for producing the enzymes. Our conceptual model suggests that external (extracellular) hydrolysis is favored when organic matter is abundant, or when enzyme production costs can be shared (e.g., on particles, in biofilms); selfish uptake (hydrolysis without production of low molecular weight products in the environment) would be a better strategy when high molecular weight (HMW) organic matter is scarce, and particularly when the HMW organic matter is very complex. We measured bacterial 3H-leucine incorporation (bacterial productivity) at different depths in the water column at multiple stations, in mesocosm experiments.\n \nThis dataset includes experiments for which bacterial productivity was measured: bulk water and mesocosm experiments, measurement of bacterial productivity from distinct depths in the water column, and measurement of bacterial productivity in mesocosm experiments of seawater with and without the addition of HMW organic matter, or in surface seawater with and without the addition of live sargassum plants at atmospheric and deep-sea pressures.\n\ncdm_data_type = Other\nVARIABLES:\ndeployment (unitless)\nstation (unitless)\nlatitude (degrees_north)\nlongitude (degrees_east)\n... (22 more variables)\n | BCO-DMO | bcodmo_dataset_985783_v1 |