Nutrient concentrations and microbial counts from Niskin bottle collections on R/V Atlantic Explorer A1703 in the Bermuda Atlantic Time-series Study site from Mar/April 2016

Website: https://www.bco-dmo.org/dataset/753679
Data Type: Cruise Results
Version: 1
Version Date: 2019-01-23

Project
» Dissolved Organic Carbon Cycling by SAR11 Marine Bacteria (Bacterial DOC cycling)
ContributorsAffiliationRole
Giovannoni, StephenOregon State University (OSU)Principal Investigator
Carlson, Craig A.University of California-Santa Barbara (UCSB-MSI)Co-Principal Investigator
Copley, NancyWoods Hole Oceanographic Institution (WHOI BCO-DMO)BCO-DMO Data Manager

Abstract
Nutrient concentrations and microbial counts from Niskin bottle collections on R/V Atlantic Explorer A1703 in the Bermuda Atlantic Time-series Study site from Mar/April 2016.


Coverage

Spatial Extent: N:32.53 E:-64.138 S:31.656 W:-77.427
Temporal Extent: 2017-03-30 - 2017-04-04

Dataset Description

Nutrient concentrations and microbial counts from Niskin bottle collections on R/V Atlantic Explorer A1703 in the Bermuda Atlantic Time-series Study site from Mar/April 2016.


Methods & Sampling

See Supplemental Documents below.


Data Processing Description

BCO-DMO Processing Notes:
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
- replaced blank cells with ‘nd’ (no data)
- changed sign of longitude (lon) so negative values represent west


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Data Files

File
AE1703_bottle.csv
(Comma Separated Values (.csv), 74.04 KB)
MD5:fb2b8c7dce3dfde303debd9fe15f38ab
Primary data file for dataset ID 753679

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Supplemental Files

File
DOC and TDN methodology (UCSB)
filename: DOC-TDN_UCSB_method.pdf
(Portable Document Format (.pdf), 122.71 KB)
MD5:310f5c86b897d43276e8ad27a3873e50
Methodology for measuring Dissolved Organic Carbon and Total Dissolved Nitrogen
Methodology for bacterial abundance - DAPI
filename: bact_abun_DAPI_method.pdf
(Portable Document Format (.pdf), 70.83 KB)
MD5:3393f21489687d12bc5c6621ebbb23ac
Determination of Bacterial Abundance using DAPI DNA binding stain and
Epifluorescence microscopy
Methodology for bacterial production measurement
filename: BactProd_method.pdf
(Portable Document Format (.pdf), 128.90 KB)
MD5:181de3ce9c9037073127e41d36a2219b
Microcentrifuge Method Protocol for Determination of Bacterial Production Rates via
3H-Leucine incorporation

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Related Publications

BATS Methods Manual. Chapter 17. Determination of Bacterial Abundance.Updated by K.Orcutt 4/1997, pp. 111-114.version 4. http://eprints.soton.ac.uk/id/eprint/361194 http://eprints.soton.ac.uk/id/eprint/361194#chapter17
Methods
Carlson, C. A., Hansell, D. A., Nelson, N. B., Siegel, D. A., Smethie, W. M., Khatiwala, S., Meyers, M. M., Halewood, E. (2010). Dissolved organic carbon export and subsequent remineralization in the mesopelagic and bathypelagic realms of the North Atlantic basin. Deep Sea Research Part II: Topical Studies in Oceanography, 57(16), 1433–1445. doi:10.1016/j.dsr2.2010.02.013
Methods
Hansell, D. A. (2005). Dissolved Organic Carbon Reference Material Program. Eos, Transactions American Geophysical Union, 86(35), 318. doi:10.1029/2005eo350003
Methods
Hansell, D. A., & Carlson, C. A. (1998). Deep-ocean gradients in the concentration of dissolved organic carbon. Nature, 395(6699), 263–266. doi:10.1038/26200
Methods
Knap, A.H., Michaels, A.F., Steinberg, D.K., Bahr, F., Bates, N.R., Bell, S., Countway, P., Close, A.R., Doyle, A.P., Dow, R.L., Howse, F.A., Gundersen, K., Johnson, R.J., Kelly, R., Little, R., Orcutt, K., Parsons, R., Rathburn, C., Sanderson, M. and Stone, S. (1997) BATS Methods Manual, Version 4 Woods Hole, MA, US. U.S. JGOFS Planning Office 136pp. *Chapter 16. Determination of Dissolved Organic Carbon by a High Temperature Combustion/Direct Injection Technique.* Updated by R.Parsons 4/1997, pp. 99-109. https://eprints.soton.ac.uk/361194/#chapter16
Methods
Porter, K. G., & Feig, Y. S. (1980). The use of DAPI for identifying and counting aquatic microflora. Limnology and Oceanography, 25(5), 943–948. doi:10.4319/lo.1980.25.5.0943
Methods
Simon, M., & Azam, F. (1989). Protein content and protein synthesis rates of planktonic marine bacteria . Marine Ecology Progress Series, 51, 201–213. doi:10.3354/meps051201
Methods
Smith, D.C. and F. Azam (1992). A simple, economical method for measuring bacterial protein synthesis rates in seawater using 3H-leucine. Marine Microbial Food Webs 6:107-114 http://www.gso.uri.edu/dcsmith/page3/page19/assets/smithazam92.PDF
Methods

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Parameters

ParameterDescriptionUnits
sample_id

Unique Identified Code for each sample collected

unitless
Cruise

cruise name

unitless
Cast

cast number

unitless
Niskin

Niskin bottle number

unitless
date

Date (yyyymmdd)

unitless
date_decyr

Date (decimal year)

unitless
time_UTC

Timestamp (UTC) hh:mm

unitless
lat

Latitude; north is positive

decimal degrees
lon

Longitude; east is positive

decimal degrees
Depth

Sampling depth in meters

meters
Temp

CTD temperature

degrees celsius
CTD_S

CTD salinity

pratical salinity units (PSU)
Pressure

CTD Pressure

decibars
Sigma_theta

CTD sigma theta (potental density)

kilogram/meter^3
Conductivity

CTD Conductivity

Siemens per meter
Fluor

CTD Fluorescence

milligram per Liter
Par

CTD photosynthetically available radiation

micro-Einsteins/meter^2/second (uE/m^2/sec)
O2

CTD Oxygen

millimole per kilogram
beam_trans_CStarTr0

CTD beam transmission as percent

unitless
NO3_NO2

Nitrate+Nitrite concentration by flow injection autoanalyzer (Lachat QuikChem 8000)

millimole per Liter
NO3_NO2_QF

Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement

unitless
PO4

ortho-Phosphate concentration by flow injection autoanalyzer (Lachat QuikChem 8000)

millimole per Liter
PO4_QF

Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement

unitless
NH4

Ammonium ion concentration by flow injection autoanalyzer (Lachat QuikChem 8000)

millimole per liter
NH4_QF

Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement

unitless
POC_mg_L

Particulate organic carbon measured by combustion analysis (CEC 440HA). Collected on Glass fiber filter type GF/F (Whatman)

milligram per Liter
POC_mmol_L

Particulate organic carbon

millimole per Liter
POC_QF

Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement

unitless
PON_mg_L

Particulate organic nitrogen measured by combustion analysis (CEC 440HA). Collected on Glass fiber filter type GF/F (Whatman)

milligram per Liter
PON_mmol_L

Particulate organic nitrogen

millimole per Liter
PON_QF

Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement

unitless
DOC

Dissolved organic carbon concentration by HTCO. Glass fiber filtrate type GF/F (Whatman). Methodological reference is Carlson et al. 2010 DSRII

micromolar
DOC_QF

Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement

unitless
TDN

Total dissolved nitrogen concentration by HTCO. Glass fiber filtrate type GF/F (Whatman).

micromolar
TDN_QF

Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement

unitless
Bact

Bacterioplankton abundance by microscopy. Methodological reference: K.G. Porter and Y.S. Feig (1980). The use of DAPI for identifying and counting aquatic microflora. Limnol. Oceanogr 25(5): 943-948.

cells per milliliter
Bact_QF

Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement

unitless
Bact_Prod

Heterotrophic bacterial production by 3H Leu uptake. Methodological reference: Smith DC & Azam F (1992) A simple economical method for measuring bacterial protein synthesis rates in seawater using 3H-leucine. Mar Microb Food Webs 6: 107_114.

picomoles per liter per hour
Bact_Prod_QF

Quality Flags (QF): 0 good; 1 unknown; 4 questionable measurement; 8 bad measurement

unitless


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Instruments

Dataset-specific Instrument Name
Generic Instrument Name
CTD - profiler
Generic Instrument Description
The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column. The instrument is lowered via cable through the water column. It permits scientists to observe the physical properties in real-time via a conducting cable, which is typically connected to a CTD to a deck unit and computer on a ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or radiometers. It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast. This term applies to profiling CTDs. For fixed CTDs, see https://www.bco-dmo.org/instrument/869934.

Dataset-specific Instrument Name
Epifluorescence microscope
Generic Instrument Name
Fluorescence Microscope
Dataset-specific Description
Used to enumerate bacterial abundance
Generic Instrument Description
Instruments that generate enlarged images of samples using the phenomena of fluorescence and phosphorescence instead of, or in addition to, reflection and absorption of visible light. Includes conventional and inverted instruments.

Dataset-specific Instrument Name
Generic Instrument Name
Liquid Scintillation Counter
Dataset-specific Description
Used to count microbial cells
Generic Instrument Description
Liquid scintillation counting is an analytical technique which is defined by the incorporation of the radiolabeled analyte into uniform distribution with a liquid chemical medium capable of converting the kinetic energy of nuclear emissions into light energy. Although the liquid scintillation counter is a sophisticated laboratory counting system used the quantify the activity of particulate emitting (ß and a) radioactive samples, it can also detect the auger electrons emitted from 51Cr and 125I samples. Liquid scintillation counters are instruments assaying alpha and beta radiation by quantitative detection of visible light produced by the passage of rays or particles through a suitable scintillant incorporated into the sample.

Dataset-specific Instrument Name
Generic Instrument Name
Niskin bottle
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.

Dataset-specific Instrument Name
Shimadzu High Temperature Combustion system
Generic Instrument Name
Shimadzu TOC-V Analyzer
Dataset-specific Description
Used to measure non-purgeable Organic Carbon (NPOC) and Total Dissolved Nitrogen (TDN)
Generic Instrument Description
A Shimadzu TOC-V Analyzer measures DOC by high temperature combustion method.


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Deployments

AE1703

Website
Platform
R/V Atlantic Explorer
Report
Start Date
2017-03-29
End Date
2017-04-04
Description
Cruise for project "Dissolved Organic Carbon Cycling by SAR11 Marine Bacteria".


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Project Information

Dissolved Organic Carbon Cycling by SAR11 Marine Bacteria (Bacterial DOC cycling)

Coverage: Western Sargasso Sea, Bermuda Atlantic Time Series Site: Hydrostation S


SAR11 (Pelagibacterales) are the most abundant group of bacterioplankton in the oceans. Globally, they are estimated to oxidize to carbon dioxide (CO2) between 5 and 22% of all the organic carbon produced by photosynthesis each day. The activities of bacterioplankton such as SAR11 determine the residence times of different forms of organic carbon, and ultimately shape the composition of dissolved organic pools in the oceans, which rival atmospheric CO2 in mass. Accurate and detailed information about the oceanic carbon cycle is used in models that are valued for their potential to predict and understand future changes in ocean ecosystems. This grant supports analyses of genomic data that predict the carbon oxidation functions of SAR11 cells, and supports experiments with cells in culture, where high-resolution mass spectrometry technology is applied to discover new organic carbon oxidation biochemistry. To assess the importance of SAR11 carbon oxidation functions in ocean ecosystems, this project includes four short oceanographic cruises to the Bermuda Atlantic Time-series Study (BATS) site, in the western Sargasso Sea. On these cruises the concentrations and oxidation rates of organic compounds will be measured, and linked to variation in planktonic SAR11 populations. 

It is a paradox that SAR11 cells are the most abundant in the oceans, but also have among the smallest genomes known. The central goal of this proposal is to understand what types of dissolved organic matter (DOM) are oxidized to CO2 by SAR11. Implicit to this approach is the perspective that some abundant chemoheterotrophic bacterioplankton taxa, particularly those with small genomes, have evolved specialist strategies for oxidizing organic matter. Understanding these strategies can lead to a more detailed and accurate understanding of the biological processes that recycle biological production to CO2. Major project aims are: 1) investigate SAR11 genomes and assay cells in culture with high-resolution mass spectrometry approaches and isotopic labeling to identify the range of compounds these cells can oxidize to CO2; 2) at BATS, measure biological oxidation rates of DOM compounds used by SAR11; 3) link spatiotemporal SAR11 genome variation to patterns of DOM oxidation in the ocean surface layer (0-300 m). This projects includes four short cruises to BATS that target the four microbial plankton community types at this site: upper euphotic zone, deep chlorophyll maximum, spring bloom and upper mesopelagic. Products of this activity will include new information about variation in labile DOM oxidation across the surface layer, and specific links to genome features that will improve the accuracy of interpretation of global ocean metagenomic data.



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Funding

Funding SourceAward
NSF Division of Ocean Sciences (NSF OCE)

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