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Though scarce and largely insoluble, trace metals are key components of sophisticated enzymes (protein molecules that speed up biochemical reactions) involved in biogeochemical cycles in the dark ocean (below 1000m). For example, metalloenzymes are involved in nearly every reaction in the nitrogen cycle. Yet, despite direct connections between trace metal and nitrogen cycles, the relationship between trace metal distributions and biological nitrogen cycling processes in the dark ocean have rarely been explored, likely due to the technical challenges associated with their study. Availability of the autonomous underwater vehicle (AUV) Clio, a sampling platform capable of collecting high-resolution vertical profile samples for biochemical and microbial measurements by large volume filtration of microbial particulate material, has overcome this challenge. Thus, this research project plans an interdisciplinary chemistry, biology, and engineering effort to test the hypothesis that certain chemical reactions, such as nitrite oxidation, could become limited by metal availability within the upper mesopelagic and that trace metal demands for nitrite-oxidizing bacteria may be increased under low oxygen conditions. Broader impacts of this study include the continued development and application of the Clio Biogeochemical AUV as a community resource by developing and testing its high-resolution and adaptive sampling capabilities. In addition, metaproteomic data will be deposited into the recently launched Ocean Protein Portal to allow oceanographers and the metals in biology community to examine the distribution of proteins and metalloenzymes in the ocean. Undergraduate students will be supported by this project at all three institutions, with an effort to recruit minority students. The proposed research will also be synergistic with the goals of early community-building efforts for a potential global scale microbial biogeochemistry program modeled after the success of the GEOTRACES program, provisionally called &quot;Biogeoscapes: Ocean metabolism and nutrient cycles on a changing planet&quot;.&lt;/p&gt;
&lt;p&gt;The proposed research project will test the following three hypotheses: (1) the microbial metalloenzyme distribution of the mesopelagic is spatially dynamic in response to environmental gradients in oxygen and trace metals, (2) nitrite oxidation in the Eastern Tropical Pacific Ocean can be limited by iron availability in the upper mesopelagic through an inability to complete biosynthesis of the microbial protein nitrite oxidoreductase, and (3) nitrite-oxidizing bacteria increase their metalloenzyme requirements at low oxygen, impacting the distribution of both dissolved and particulate metals within oxygen minimum zones. One of the challenges to characterizing the biogeochemistry of the mesopelagic ocean is an inability to effectively sample it. As a sampling platform, we will use the novel biogeochemical AUV Clio that enables high-resolution vertical profile samples for biochemical and microbial measurements by large volume filtration of microbial particulate material on a research expedition in the Eastern Tropical Pacific Ocean. Specific research activities will be orchestrated to test the hypotheses. Hypothesis 1 will be explored by comparison of hydrographic, microbial distributions, dissolved and particulate metal data, and metaproteomic results with profile samples collected by Clio. Hypothesis 2 will be tested by incubation experiments using 15NO2- oxidation rates on Clio-collected incubation samples. Hypothesis 3 will be tested by dividing targeted nitrite oxidoreductase protein copies by qPCR (quantitative polymerase chain reaction)-based nitrite oxidizing bacteria abundance (NOB) to determine if cellular copy number varies with oxygen distributions, and by metalloproteomic analyses of NOB cultures. The demonstration of trace metal limitation of remineralization processes, not just primary production, would transform our understanding of the role of metals in biogeochemical cycling and provide new ways with which to interpret sectional data of dissolved and particulate trace metal distributions in the ocean. The idea that oxygen may play a previously underappreciated role in controlling trace metals due not just to metals' physical chemistry, but also from changing biological demand, will improve our ability to predict trace metal distributions in the face of decreasing ocean oxygen content.&lt;/p&gt;
&lt;p&gt;This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.&lt;/p&gt;</gco:CharacterString>
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            http://lod.bco-dmo.org/id/dataset-parameter/922471.rdf
	Name: Cruise_ID
	Units: unitless
	Description: &lt;p&gt;Cruise ID AT50-10&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922472.rdf
	Name: Start_date_UTC
	Units: unitless
	Description: &lt;p&gt;Pump start date&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922473.rdf
	Name: Start_time_UTC
	Units: unitless
	Description: &lt;p&gt;Pump start time&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922474.rdf
	Name: End_date_UTC
	Units: unitless
	Description: &lt;p&gt;Pump end date&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922475.rdf
	Name: End_time_UTC
	Units: unitless
	Description: &lt;p&gt;Pump end time&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922476.rdf
	Name: Station_number
	Units: unitless
	Description: &lt;p&gt;Station number&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922477.rdf
	Name: Start_Lat
	Units: decimal degrees
	Description: &lt;p&gt;Pump start latitude&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922478.rdf
	Name: Start_Long
	Units: decimal degrees
	Description: &lt;p&gt;Pump start longitude&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922479.rdf
	Name: End_Lat
	Units: decimal degrees
	Description: &lt;p&gt;Pump end latitude&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922480.rdf
	Name: End_Long
	Units: decimal degrees
	Description: &lt;p&gt;Pump end longitude&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922481.rdf
	Name: Cast_number
	Units: unitless
	Description: &lt;p&gt;Cast number&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922482.rdf
	Name: Pump_number
	Units: unitless
	Description: &lt;p&gt;Pump number&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922483.rdf
	Name: Head_number_GFF_port
	Units: unitless
	Description: &lt;p&gt;Pump head identification number at GFF water port in dual samlpler system&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922484.rdf
	Name: Head_number_Supor_port
	Units: unitless
	Description: &lt;p&gt;Pump head identification number at Supor/Nitex water port in dual samlpler system&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922485.rdf
	Name: Winch_payout_reading
	Units: meters (m)
	Description: &lt;p&gt;Winch payout reading&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922486.rdf
	Name: Corrected_winch_payout
	Units: meters (m)
	Description: &lt;p&gt;Correct winch payout&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922487.rdf
	Name: Depth
	Units: meters (m)
	Description: &lt;p&gt;Sample depth&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922488.rdf
	Name: Total_time_filtered
	Units: minutes (min)
	Description: &lt;p&gt;Total time filtered&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922489.rdf
	Name: GFF_side_flow_meter_volume
	Units: liters (L)
	Description: &lt;p&gt;Volume of water filtered through the GFF side in dual sampler system&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922490.rdf
	Name: Supor_side_flow_meter_volume
	Units: liters (L)
	Description: &lt;p&gt;Volume of water filtered through the Supor side in dual sampler system&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922491.rdf
	Name: Filter_diameter
	Units: millimeters (mm)
	Description: &lt;p&gt;Filter diameter&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922492.rdf
	Name: Comments_deployment
	Units: unitless
	Description: &lt;p&gt;Comments on deployment&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922493.rdf
	Name: SAMPLE_PRFEIX
	Units: unitless
	Description: &lt;p&gt;Sample prefix&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922494.rdf
	Name: SUPOR_0_2_FRACTION_PROTEIN1
	Units: unitless
	Description: &lt;p&gt;Fraction of 142mm diameter 0.2um pore size Supor (PES) filter assigned for global metaproteomic analysis&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922495.rdf
	Name: SUPOR_0_2_FRACTION_DNA1
	Units: unitless
	Description: &lt;p&gt;Fraction of 142mm diameter 0.2um pore size Supor (PES) filter assigned for genomic DNA analysis, sample 1 of 2&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922496.rdf
	Name: SUPOR_0_2_FRACTION_DNA2
	Units: unitless
	Description: &lt;p&gt;Fraction of 142mm diameter 0.2um pore size Supor (PES) filter assigned for genomic DNA analysis, sample 2 of 2&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922497.rdf
	Name: SUPOR_0_2 FRACTION_eDNA
	Units: unitless
	Description: &lt;p&gt;Fraction of 142mm diameter 0.2um pore size Supor (PES) filter assigned for environmental DNA analysis&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922498.rdf
	Name: SUPOR_0_2_FRACTION_pMetal
	Units: unitless
	Description: &lt;p&gt;Fraction of 142mm diameter 0.2um pore size Supor (PES) filter assigned for particulate metal content analysis&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922499.rdf
	Name: SUPOR_0_2 FRACTION_POS
	Units: unitless
	Description: &lt;p&gt;Fraction of 142mm diameter 0.2um pore size Supor (PES) filter assigned for particulate organic sulfur analysis&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922500.rdf
	Name: SUPOR_0_2_FRACTION_metatranscriptomics_Intercomparison
	Units: unitless
	Description: &lt;p&gt;Fraction of 142mm diameter 0.2um pore size Supor (PES) filter assigned for metatranscriptomic intercomparison analysis&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922501.rdf
	Name: SUPOR_0_2_FRACTION_metagenomics_Intercomparison
	Units: unitless
	Description: &lt;p&gt;Fraction of 142mm diameter 0.2um pore size Supor (PES) filter assigned for metagenomic intercomparison analysis&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922502.rdf
	Name: NITEX_51_FRACTION_PROTEIN1
	Units: unitless
	Description: &lt;p&gt;Fraction of 142mm diameter 51um pore size Nitex filter assigned for global metaproteomics&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922503.rdf
	Name: NITEX_51_FRACTION_DNA1
	Units: unitless
	Description: &lt;p&gt;Fraction of 142mm diameter 51um pore size Nitex filter assigned for genomic DNA analysis&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922504.rdf
	Name: NITEX_51_FRACTION_pMetal
	Units: unitless
	Description: &lt;p&gt;Fraction of 142mm diameter 51um pore size Nitex filter assigned for particulate metal content analysis&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922505.rdf
	Name: NITEX_51_FRACTION_CULTURING
	Units: unitless
	Description: &lt;p&gt;Fraction of 142mm diameter 51um pore size Nitex filter assigned for bacteria culturing&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922506.rdf
	Name: GFF_FRACTION_PROTEIN1
	Units: unitless
	Description: &lt;p&gt;Fraction of 142mm diameter 0.7um pore size Glass Fiber Filter (GFF) filter assigned for global metaproteomics&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922507.rdf
	Name: GFF_FRACTION_CA
	Units: unitless
	Description: &lt;p&gt;Fraction of 142mm diameter 0.7um pore size Glass Fiber Filter (GFF) filter assigned for carbonic anhydrase activity analysis&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922508.rdf
	Name: GFF_FRACTION_PIGS
	Units: unitless
	Description: &lt;p&gt;Fraction of 142mm diameter 0.7um pore size Glass Fiber Filter (GFF) filter assigned for photosynthetic pigments analysis&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922509.rdf
	Name: GFF_FRACTION_POC
	Units: unitless
	Description: &lt;p&gt;Fraction of 142mm diameter 0.7um pore size Glass Fiber Filter (GFF) filter assigned for particulate organic carbon analysis&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922510.rdf
	Name: GFF_FRACTION_HG
	Units: unitless
	Description: &lt;p&gt;Fraction of 142mm diameter 0.7um pore size Glass Fiber Filter (GFF) filter assigned for mercury content analysis&lt;/p&gt; 
http://lod.bco-dmo.org/id/dataset-parameter/922511.rdf
	Name: SAMPLE_COMMENT
	Units: unitless
	Description: &lt;p&gt;Comments on sample taken&lt;/p&gt; 
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                <gco:CharacterString>&amp;lt;p&amp;gt;The depths for McLane pumps&amp;amp;nbsp;(which lack pressure sensors)&amp;amp;nbsp;were calculated based on winch payout and a calibration curve generated aboard ship. The need for calibration arises from the MASH2K winch not being used with metallic wire for this application. By using (non-conducting) synthetic wire for trace metal clean needs, the wire wraps are not predictably uniform as with metallic wire. As a result and the MASH2K instrument borrowed from the East Coast Winch Pool was not programmed for depths using synthetic wire. To compensate for this the McLane pump payout calibration was estimated using the Trace Metal rosette deployed with a SSSG Pinger, with depth from the ship and the winch payout recorded at 17 intervals between 0 and 4287 meters. A power law relationship was calculated from this relationship by Tristan Horner where: True Payout = Raw Payout / ( 1.34 x Raw Payout^-0.026 ). This equation had a mean absolute standard deviation of 5m for the 17 depths recorded, with depth variance increasing with depth. This equation was applied to the payout readings from the winch when used for McLane pumps to calculate the deployment Depth (m) parameter.&amp;lt;/p&amp;gt;</gco:CharacterString>
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Ambient water is drawn through a modular filter holder onto a 142-millimeter (mm) membrane without passing through the pump. The standard two-tier filter holder provides prefiltering and size fractioning. Collection targets include chlorophyll maximum, particulate trace metals, and phytoplankton. It features different flow rates and filter porosity to support a range of specimen collection. Sampling can be programmed to start at a scheduled time or begin with a countdown delay. It also features a dynamic pump speed algorithm that adjusts flow to protect the sample as material accumulates on the filter. Several pump options range from 0.5 to 30 liters per minute, with a max volume of 2,500 to 36,000 liters depending on the pump and battery pack used. The standard model is depth rated to 5,500 meters, with a deeper 7,000-meter option available. The operating temperature is -4 to 35 degrees Celsius.

The WTS-LV is available in four different configurations: Standard, Upright, Bore Hole, and Dual Filter Sampler. The high-capacity upright WTS-LV model provides three times the battery life of the standard model. The Bore-Hole WTS-LV is designed to fit through a narrow opening such as a 30-centimeter borehole. The dual filter WTS-LV features two vertical intake 142 mm filter holders to allow simultaneous filtering using two different porosities.</gco:CharacterString>
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          <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/platform/54003.rdf"
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                          <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/person/50985.rdf" xlink:actuate="onRequest">Mak A. Saito</gmx:Anchor>
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                          <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/affiliation/2.rdf" xlink:title="Affiliation" xlink:actuate="onRequest">Woods Hole Oceanographic Institution</gmx:Anchor>
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