19:I[42426,["/_next/static/immutable/chunks/1xctgzqre-wsy.js","/_next/static/immutable/chunks/06_-wz6pdtp2b.js","/_next/static/immutable/chunks/30e52g49hg40p.js","/_next/static/immutable/chunks/02yq6tul2z-oh.js","/_next/static/immutable/chunks/10bx_ec2vj7n_.js","/_next/static/immutable/chunks/33bfn03fo8xnt.js","/_next/static/immutable/chunks/0tfjf78scu61b.js","/_next/static/immutable/chunks/31xnvej4n1bi9.js"],"default"] 1a:T1fde,

Sample collection:
The data presented in this study were collected on 7 cruises throughout the Western North Atlantic Ocean (cruise X0606, X0705, X0804, BVAL 39, BVAL 46, AE1206, and AE1319). Data for kinetics experiments were collected from throughout the western North Atlantic, from roughly 55oN in the Labrador Sea to ~21oN, just north of Puerto Rico. All sample depths were <200m. All samples for Pi uptake rates and kinetics experiments were collected in acid-cleaned Niskin bottles attached to a CTD rosette and kept in subdued lighting until experiments were initiated (< 1 h). Samples for whole community ambient uptake rates were collected from ~4 depths in the upper 60 m, while samples for taxon-specific ambient uptake rates were collected from 5 m, 40 m, and the deep chlorophyll maximum (DCM; ranging from 80 to 120 m) (27). Trichodesmium colonies were collected from the near surface (roughly within the top 20 m) by vertically hauling a handheld 100 µm net. Single colonies were transferred a second time into fresh 0.2 µm-filtered water to reduce contamination of closely associated organisms, and subsequently separated by morphotype (either ‘puff’ with radial trichomes or ‘raft’ with parallel trichomes); only data for ‘rafts’ are presented here.

Dissolved inorganic and organic, and particulate nutrients:
Samples for NO3-/NO2-, NO2- and PO4-3 are gravity filtered through 0.8 µm Nucleopore polycarbonate filters using acid cleaned in-line polycarbonate filter holders, then frozen (-20oC) in HDPE bottles until analysis (Dore et al., 1996). Tests of frozen versus refrigerated samples have indicated no significant difference between storage methods (Dore et al., 1996). Nutrient samples prior to ~2003 were analyzed on a modified Technicon Autoanalyzer and samples post ~2003 were analyzed on an Alpkem Flow Solution IV; both instrumental setups have comparable sensitivity and method detection limits validated by 6-month sample overlap on both instruments. During every sample run, commercially available certified standards, OSIL and Wako Chemical, are analyzed to maintain data quality, as well as ‘standard water’ from 3000 m which serves as an internal standard.

Soluble reactive phosphate (SRP) concentrations in the euphotic zone of the Sargasso Sea are below analytical detection limits (~20 nmol kg-1) of standard nutrient autoanalyzer configurations. To resolve the low concentrations of SRP in the surface waters at BATS the Magnesium Induced Co-precipitation method, referred to as MAGIC-SRP measurements (Karl and Tien, 1992; Rimmelin and Moutin, 2005), was used starting in late 2004. Several modifications to the method were made and detailed in Lomas et al. (2010a). Sample accuracy was checked on each run with a certified OSIL nutrient standard. The method detection limit following this protocol is ~1 nmol kg-1 with a precision of + 5% at 5 nmol kg-1.

Particulate organic carbon (POC) and nitrogen (PON) samples are filtered on precombusted (450oC, 4h) Whatman GF/F filters and frozen until analysis Steinberg et al., 2001a. Samples are analyzed on a Control Equipment 240-XA or 440-XA elemental analyzer standardized to acetanilide. Particulate phosphorus samples (PPhos) are analyzed using a ash-hydrolysis method (Lomas et al., 2010a). Oxidation efficiency and standard recovery is tested with each sample run using an ATP standard solution and a certified phosphate standard (OSIL Phosphate Nutrient Standard Solution). Method precision is ~9% at 2.5 nmol kg-1 (the lowest concentrations typically observed well below the euphotic zone), and ~1% at 15 nmol kg-1 (typical euphotic zone concentrations). The method detection limit, defined as three times the standard deviation of the lowest standard (2.5 nmol kg-1) is ~0.5 nmol kg-1.

33Phosphate incubations:
The approach for ambient whole community and population-specific uptake rate measurements were previously published (Casey et al, 2009). Briefly, duplicate aliquots of 10 ml seawater were amended with 0.15 µCi (~80 pmol L-1) additions of H333PO4 (3000 Ci mol-1; PerkinElmer, USA), and incubated for 30 - 60 min in subdued lighting (~100 µmol photons m-2 s-1) at ~23oC. This temperature was within ~3oC of the coolest/warmest in situ temperature from which the samples were collected. The duration of each incubation varied depending on turnover time of the added isotope, such that efforts were made to keep uptake to <25% of the tracer added. Duplicate killed control incubations were conducted for each station. Killed controls were amended with paraformaldehyde (0.5% final concentration) for 30 min prior to the addition of isotopic tracer and incubation. Whole community incubations were terminated by filtration onto 0.2 µm polycarbonate filters that were subsequently placed in glass scintillation vials. Population-specific ambient uptake incubations were terminated by the addition of paraformaldehyde (0.5% final concentration), and stored at 4oC until sorting (<12 h) as described in the next section.

Whole community and population-specific kinetics experiments were conducted by adding 0.15 µCi (~80 pM) of H333PO4 to ~10 replicate 10 ml seawater samples that were further amended by increasing additions of ‘cold’ KH2PO4 up to 100 nM. Samples were incubated as above, but the incubations were terminated by the addition of KH2PO4 to a final concentration of 100 µM (28). Whole community samples were filtered onto 0.2 µm polycarbonate filters, and rinsed with an oxalate wash (29). Surface bound phosphate in population-specific samples was accounted for by subtracting 33P counts for sorted populations to which 100 µM phosphate had been added prior to addition of the isotopic tracer. It is assumed that addition of such a high level of phosphate would result in negligible uptake of radioactive phosphate and thus any signal was attributed to surface absorption; this correction was always <2-3%. Population-specific kinetics experiments for samples collected in the deep chlorophyll maximum were first gravity concentrated and resuspended in phosphate-free Sargasso Sea surface water prior to incubation as described. Population-specific samples were stored at 4oC in the dark until sorting (<3 h) as described in the next section. Kinetics experiments for Trichodesmium spp. were conducted in the same manner as above for whole community samples but with picked and rinsed colonies and increasing additions of ‘cold’ KH2PO4 up to 1000 nM.

Flow cytometry analysis and cell sorting:
Samples were sorted on an InFlux cell sorter (BD, Seattle, WA) at an average flow rate of ~40 µL min-1. Samples were sorted for Prochlorococcus, Synechococcus, and an operationally defined eukaryotic algae size fraction (eukaryotes >2 µm). A 100 mW blue (488 nm) excitation laser was used. After exclusion of laser noise gated on pulse width and forward scatter, autotrophic cells were discriminated by chlorophyll fluorescence (>650 nm), PE (585/30 nm), and granularity (side scatter). Sheath fluid was made fresh daily from distilled deionized water (Millipore, Billerica, MA) and molecular grade NaCl (Mallinckrodt Baker, Phillipsburg, NJ), pre-filtered through a 0.2 µm capsule filter (Pall, East Hills, NY), and a STERIVEX sterile 0.22 µm inline filter (Millipore, Billerica, MA). Mean coincident abort rates were < 1% and mean recovery from secondary sorts (n = 25) was 97.5 ± 1.1% (data not shown). Spigot™ (BD Seattle, WA) and FCS Express V3™ (DeNovo Software, Seattle, WA) were used for data acquisition and post acquisition analysis, respectively. Sorted cells from each sample were gently filtered onto 0.2 µm Nucleopore polycarbonate filters, rinsed with copious amounts of 0.2 µm filtered seawater, an oxalate wash(29), and placed in a 7 ml scintillation vial for liquid scintillation counting.

1b:T69f,

P uptake Rate Calculations:
Whole community and taxon-specific assimilation rates were calculated using the same equation as follows:
-- [see formula in Supplemental Files section]
where Vpi is the cell-specific utilization rate (amol 33Pi cell-1 hr-1); ßsample and ßTA are the ß-emission activities (counts min-1) for the sorted sample and the total activity added, respectively; n is the number of cells sorted; Delta-T is the elapsed time from 33P isotopic tracer addition to counting; To is the incubation duration; Lambda is the decay constant of 33P (half life = 25.4 d); P is the ambient concentration of the P source (nmol L-1). The method detection limit following this protocol is ~0.5 nM with a precision of + 5% at 5 nM.

Data analysis:
Parameters for the hyperbolic nutrient uptake curves from all samples were estimated in SigmaPlot (Systat Software, San Jose, CA, Version 10) using an iteratively fit hyperbolic equation.

BCO-DMO Processing Notes:
- added conventional header with dataset name, PI name, version date
- renamed parameters to BCO-DMO standard
- reformated data from m/d/yyyy to yyyy-mm-dd
- changed -9.9 and -9.99 to nd
- replaced blank cells with nd
- replaced spaces and other special characters with underscore
- changed positive longitudes to negative values

Version 1 (2014-11-19): originally submitted data
Version 2 (2021-02-05): Update the AE1319 cruise: updated chl-a for AE1319 station 4 and station 9; updated POC and PON for stations 4, 9, 12, and 16; added AE1319 stations 1-3, 5-8, and 13-15.

1c:Tf78,One of the fundamental patterns of ocean biogeochemistry is the Redfield ratio, linking the stoichiometry of surface plankton with the chemistry of the deep ocean. There is no obvious mechanism for the globally consistent C:N:P ratio of 106:16:1 (Redfield ratio), especially as there is substantial elemental variation among plankton communities in different ocean regions. Thus, knowing how biodiversity regulates the elemental composition of the ocean is important for understanding the ocean and climate as a whole -- now and in the future. The conceptual hypotheses for this study are as follows: 1. The C:N:P ratio of a cell is constrained by its broad taxonomic group, which determines, for example, whether it has an outer shell, its size, functional metabolism, membrane lipid composition. 2. Within a taxon, there is high genetic diversity. Some of this genetic diversity is potentially laterally transferred, or can be lost within taxa, and confers various functional abilities (organic phosphate assimilation, nitrate assimilation, photoheterotrophy, etc.). Functional diversity provides the cell with further flexibility, such as the ability to respond to varying nutrient supply rates/ratios, and affects a cell's C:N:P ratio within the range specified by the taxon. 3. Given these taxonomic and genetic constraints, a cell is physiologically plastic and modifies how it allocates cellular resources in response to nutrient supply rates/ratios in the environment. 4. The microbial diversity (taxonomic, genetic, and functional) of the surface ocean varies over time and space, driven by many factors in addition to nutrients. The sum of this mixture composes the ecosystem C:N:P, the ratio that Redfield described. Based on this framework, the CoPIs will make field observations of taxon-specific stoichiometry and growth rates, genomic analyses, and conduct laboratory chemostat experiments to improve understanding of how ocean taxonomic, genetic, and functional biodiversity control the stoichiometry of the surface ocean plankton. Their analyses of these data would lead to a mechanistic understanding of variations in the Redfield ratio, both spatially and temporally. This study will greatly expand knowledge of the genomic diversity among ocean microbes and how this diversity affects biogeochemistry. The stoichiometry of the ocean's microbes is a parameter that nearly every chemical or biological oceanographer uses, from converting measurements made in one element to another, to estimating regional and global nitrogen budgets. The research also has important implications for the global carbon budget and any changes that might result from climate change. To understand mechanistically temporal and spatial variability of the plankton C:N:P ratio, biodiversity must be studied not only at the traditional taxonomic level, but at the genetic and functional levels which dictate organism response to their environment. Data will be integrated into a combined ocean ecological, evolutionary, and biogeochemical model, with flexible stoichiometry, including cellular biochemical allocations. Seeding a coupled physical-biological model of the oceans with multiple competing genotypes enables the exploration of ecological and evolutionary patterns of resource acquisition and C:N:P ratios. Developing a more mechanistic examination of the course of ecology and evolution, in which laboratory and field data define tradeoffs between different growth and nutrient acquisition strategies, would estabblish the framework of adaptive dynamics for determining "evolutionarily convergence". Finally, model outcomes will be evaluated against field data. The field work planned for this project includes several cruises: BV46 (September/October 2011), BV48 (September 2012), a June 2013 cruise from Bermuda to the Labrador Sea, and a cruise from Hawaii to Tahiti (May 2014). Additionally, samples will be be acquired during cruises of opportunity.6:["$","$L19",null,{"dataset":{"_id":"538091","description":"

Biogeochemistry of microbial phosphorus uptake from cruises in the Sargasso Sea; Bermuda Atlantic Time-Series Station from 2011-2013 (Biological C:N:P ratios project).This data was published in Lomas et al. 2014 PNAS.

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It is used only when detailed instrument documentation is not available.","type_acronym":"Plankton Net"}],"parameters":[{"_id":"538105","name":"cruise_id","format":"","frictionlessType":"","description":"

cruise identification

","units":{"_id":"","name":"unitless"},"type":{"_id":"1102","name":"cruise_id","description":"

cruise designation; name

"}},{"_id":"538106","name":"date","format":"","frictionlessType":"","description":"

date of sample collection

","units":{"_id":"","name":"yyyy-mm-dd"},"type":{"_id":"1070","name":"date","description":"

date; generally reported in GMT as YYYYMMDD (year; month; day); also as MMDD (month; day); EqPac dates are local Hawaii time. ISO_Date format is YYYY-MM-DD (http://www.iso.org/iso/home/standards/iso8601.htm)

"}},{"_id":"538107","name":"station","format":"","frictionlessType":"","description":"

station number or identification

","units":{"_id":"","name":"unitless"},"type":{"_id":"987","name":"station","description":"

Station identifier; a unique number or alphanumeric string designating a general geographic location at which one or more sampling activities may occur.

"}},{"_id":"538108","name":"lon","format":"","frictionlessType":"","description":"

longitude; east is positive

","units":{"_id":"","name":"decimal degrees"},"type":{"_id":"731","name":"longitude","description":"

longitude, in decimal degrees, East is positive, negative denotes West; Reported in some datasets as degrees, minutes

"}},{"_id":"538109","name":"lat","format":"","frictionlessType":"","description":"

latitude; north is positive

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latitude, in decimal degrees, North is positive, negative denotes South; Reported in some datasets as degrees, minutes

"}},{"_id":"538110","name":"depth","format":"","frictionlessType":"","description":"

depth of sample collection

","units":{"_id":"","name":"meters"},"type":{"_id":"808","name":"depth","description":"

Observation/sample depth below the sea surface. Units often reported as: meters, feet.

\nWhen used in a JGOFS/GLOBEC dataset the depth is a best estimate; usually but not always calculated from pressure; calculated either from CTD pressure using Fofonoff and Millard (1982; UNESCO Tech Paper #44) algorithm adjusted for 1980 equation of state for seawater (EOS80) or simply equivalent to nominal depth as recorded during sampling if CTD pressure was unavailable.

"}},{"_id":"538111","name":"chl_a","format":"","frictionlessType":"","description":"

CTD Chlorophyll a

","units":{"_id":"","name":"micrograms/liter"},"type":{"_id":"766","name":"chlorophyll a","description":"

Total chlorophyll a pigment. See dataset for units of measurement; often reported in: milligrams per cubic meter (mg/m3); micrograms/liter (ug/L); nanograms/liter (ng/L).

CAUTION Within JGOFS MERGED water column products: this parameter is derived from HPLC methodology and the units are nanograms/liter; however; this parameter name is also used for a variety of water and nonwater column sampling; derived via the fluorometric method; units will also vary.

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combined oxidized nitrogen concentration

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Nitrate and Nitrite, µM (micromolar) or µg-at NO3-N and NO2-N/l

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nitrite concentration

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Nitrite

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phosphate concentration

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Orthophosphate (phosphate, reactive phosphorus), Various units.

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silicate concentration

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Silicate; reactive silica. Also referred to as dissolved silicate, dissolved silica.

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soluble reactive phosphate

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particulate organic carbon

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Particulate Organic Carbon. Units may be micrograms/Liter, milligrams/Liter or milligrams/meter^3

"}},{"_id":"538118","name":"PON","format":"","frictionlessType":"","description":"

particulate organic nitrogen

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Particulate Organic Nitrogen. Units may be micrograms/Liter, milligrams/Liter, or milligrams/meter^3

"}},{"_id":"538119","name":"POP","format":"","frictionlessType":"","description":"

particulate organic phosphorus

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Particulate organic phosphorus

"}},{"_id":"538120","name":"Pro","format":"","frictionlessType":"","description":"

Prochlorococcus abundance

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Prochlorococcus abundance; using flow cytometry as the analytical method to determine abundance.

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Synechococcus abundance

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Synechococcus abundance.

"}},{"_id":"538122","name":"Peuks","format":"","frictionlessType":"","description":"

Picoeukaryote abundance

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Abundance of pico-eukaryotes (eukaryote picophytoplankton).

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Nanoeukaryote abundance

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nano eukaryotic phytoplankton; primarily 2 to 3 um diameter cells

(sometimes called 'nanoeuks')

"}}],"related_publications":[{"id":"743178","citation":"Casey, J., Lomas, M., Michelou, V., Dyhrman, S., Orchard, E., Ammerman, J., & Sylvan, J. (2009). Phytoplankton taxon-specific orthophosphate (Pi) and ATP utilization in the western subtropical North Atlantic. Aquatic Microbial Ecology, 58, 31–44. doi:10.3354/ame01348\r\n","relation_type":["General"],"relation_desc":""},{"id":"831041","citation":"Dore, J., Houlihan, T., Hebel, D., Tien, G., Tupas, L., and Karl, D. (1996) Freezing as a method of sample preservation for the analysis of dissolved inorganic nutrients in seawater. Marine Chemistry 53, 173-185.","relation_type":["Methods"],"relation_desc":""},{"id":"748104","citation":"Karl, D. M., & Tien, G. (1992). MAGIC: A sensitive and precise method for measuring dissolved phosphorus in aquatic environments. Limnology and Oceanography, 37(1), 105–116. doi:10.4319/lo.1992.37.1.0105\r\n","relation_type":["Methods"],"relation_desc":""},{"id":"829821","citation":"Lomas, M. W., Bonachela, J. A., Levin, S. A., & Martiny, A. C. (2014). Impact of ocean phytoplankton diversity on phosphate uptake. Proceedings of the National Academy of Sciences, 111(49), 17540–17545. doi:10.1073/pnas.1420760111\r\n","relation_type":["Results"],"relation_desc":""},{"id":"736948","citation":"Lomas, M. W., Burke, A. L., Lomas, D. A., Bell, D. W., Shen, C., Dyhrman, S. T., & Ammerman, J. W. (2010). Sargasso Sea phosphorus biogeochemistry: an important role for dissolved organic phosphorus (DOP). Biogeosciences, 7(2), 695–710. doi:10.5194/bg-7-695-2010\r\n","relation_type":["Methods"],"relation_desc":""},{"id":"832722","citation":"Rimmelin, P., & Moutin, T. (2005). Re-examination of the MAGIC method to determine low orthophosphate concentration in seawater. Analytica Chimica Acta, 548(1-2), 174–182. doi:10.1016/j.aca.2005.05.071\r\n","relation_type":["Methods"],"relation_desc":""}],"related_datasets":[{"_id":"537996","name":"Phosphorus uptake - kinetics","url":"","relation_type":"IsRelatedTo","type_desc":"

The dataset is related to another dataset.

\n","relation_desc":"","citation":"Lomas, M. W., Bonachela, J. A., Levin, S., Martiny, A. (2020) Phosphorus uptake kinetics by microbes to whole communities from R/V Atlantic Explorer AE1206, AE1319 in the Sargasso Sea; Bermuda Atlantic Time-Series Station from 2012-2013 (Biological C:N:P ratios project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2014-11-10 doi:10.26008/1912/bco-dmo.537996.1"},{"_id":"538053","name":"Phosphorus uptake - taxon","url":"","relation_type":"IsRelatedTo","type_desc":"

The dataset is related to another dataset.

\n","relation_desc":"","citation":"Lomas, M. W., Bonachela, J. A., Levin, S., Martiny, A. (2020) Taxon-specific phosphorus uptake by microbes from NW Atlantic and western Sargasso Sea from 2007-2013 (Biological C:N:P ratios project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2014-11-10 doi:10.26008/1912/bco-dmo.538053.1"},{"_id":"538027","name":"Phosphorus uptake - bulk","url":"","relation_type":"IsRelatedTo","type_desc":"

The dataset is related to another dataset.

\n","relation_desc":"","citation":"Lomas, M. W., Bonachela, J. A., Levin, S., Martiny, A. (2020) Bulk phosphorus uptake by microbes from cruises in the NW Atlantic and western Sargasso Sea 2006-2013 (Biological C:N:P ratios project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2014-11-19 doi:10.26008/1912/bco-dmo.538027.1"}],"services":[{"grouping":"","items":[{"name":"View Data","description":"An in-browser view of the primary tabular data file","url":"https://www.bco-dmo.org/dataset/538091/data/view","contentType":"text/html","actionType":"view"}]},{"grouping":"Metadata","items":[{"name":"HTML","description":"A simple HTML page of the dataset metadata","url":"https://www.bco-dmo.org/dataset/538091/description","contentType":"text/html","actionType":"view"},{"name":"PDF","description":"A PDF of the HTML dataset metadata","url":"https://www.bco-dmo.org/dataset/538091/Dataset_description.pdf","contentType":"application/pdf","actionType":"download"},{"name":"ISO 19115-2 (NOAA Profile)","description":"","url":"https://www.bco-dmo.org/dataset/538091/iso","contentType":"application/xml","actionType":"download"}]}],"programs":[{"_id":"2031","name":"Dimensions of Biodiversity","acronym":"Dimensions of Biodiversity"},{"_id":"2015","name":"Ocean Carbon and Biogeochemistry","acronym":"OCB"}],"projects":[{"_id":"2178","name":"Biological Controls on the Ocean C:N:P ratios","acronym":"Biological C:N:P ratios","description":"$1c"}],"archives":[{"id_value":"10.26008/1912/bco-dmo.538091.2","url":"https://doi.org/10.26008/1912/bco-dmo.538091.2","date_assigned":"2021-02-08","version_date":"2021-02-05","archiver":"Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)","archiver_id":"272"},{"id_value":"10.26008/1912/bco-dmo.538091.1","url":"https://doi.org/10.26008/1912/bco-dmo.538091.1","date_assigned":"2020-12-03","version_date":"2014-11-19","archiver":"Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)","archiver_id":"272"}],"license":{"name":"Creative Commons Attribution 4.0","id":"CC-BY-4.0","uri":"https://creativecommons.org/licenses/by/4.0/","spdxUri":"https://spdx.org/licenses/CC-BY-4.0"},"metrics":{"views":{"count":391},"downloads":{"count":986}}}}]