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            <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/dataset/948411.rdf" xlink:actuate="onRequest">Heterotrophic Production Rates collected from CliOMZ AT50-10 in the Eastern Pacific Ocean from May to June 2023 (CliOMZ project)</gmx:Anchor>
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                <gmx:Anchor xlink:href="https://ror.org/03prydq77" xlink:title="ROR ID" xlink:actuate="onRequest">University of Vienna</gmx:Anchor>
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            <gco:CharacterString>Cite this dataset as: Santoro, A. E., Bayer, B. (2025) Heterotrophic Production Rates collected from CliOMZ AT50-10 in the Eastern Pacific Ocean from May to June 2023 (CliOMZ project). Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-01-13 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.948411.1 [access date]</gco:CharacterString>
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        <gco:CharacterString>Methods and Sampling: &amp;lt;p&amp;gt;Discrete water samples were collected using a rosette sampler equipped with 24×10 L Niskin bottles.&amp;amp;nbsp;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;Different depths were sampled ranging from 55 meters to 1500 meters. The sampling strategy specifically focused on targeting low oxygen zones within the water column.&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;Water was dispensed into 2 mL microcentrifuge tubes in the laboratory.&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;Microbial heterotrophic production was measured via the incorporation of [&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;3&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;H]-leucine into microbial biomass using a modified version of the microcentrifuge method&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;&amp;amp;nbsp;(Baetge et. al., 2021).&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;[&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;3&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;H]-leucine (specific activity 44.9 Ci mmol&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;-1&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;; Perkin Elmer) was added to 1.7 mL of sample at a final concentration of 20 nM and incubated for 2-3 h at in situ temperature. For each depth and station, triplicate live incubations and one killed control, to which 100 µL of trichloroacetic acid (TCA) was added immediately, were carried out.&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;At one station, the effect of phenylacetylene and DMSO additions on heterotrophic production activities was tested over a time-span of 24h as described in detail in Bayer et al. 2024.&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;Incubations were terminated by addition of cold 100 µL 100% TCA and stored at 4°C until extraction following established procedures&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;(Baetge et. al., 2021)&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;. DPM were measured on a scintillation counter (Perkin-Elmer Tri-Carb 2910 TR) for 2 min, and [&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;3&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;H]-leucine incorporation rates were converted to units of carbon using a conversion factor of 1.5 kg C (mol leucine incorporated)&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;-1&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;(Simon and Azam 1989).&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;</gco:CharacterString>
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        <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/award/806573.rdf" xlink:title="OCE-1924512" xlink:actuate="onRequest">Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1924512 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1924512</gmx:Anchor>
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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;
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&amp;lt;p&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;Incubations were terminated by addition of cold 100 µL 100% TCA and stored at 4°C until extraction following established procedures&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;(Baetge et. al., 2021)&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;. DPM were measured on a scintillation counter (Perkin-Elmer Tri-Carb 2910 TR) for 2 min, and [&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;3&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;H]-leucine incorporation rates were converted to units of carbon using a conversion factor of 1.5 kg C (mol leucine incorporated)&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;-1&amp;amp;nbsp;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;font-size:1rem&amp;quot;&amp;gt;(Simon and Azam 1989).&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;</gco:CharacterString>
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&amp;lt;p&amp;gt;The mean DPM of the samples were corrected for the DPM of the blank and converted into leucine incorporation over time.&amp;amp;nbsp;Leucine incorporation rates were converted to units of carbon using a conversion factor of 1.5 kg C (mol leucine incorporated)-1&amp;amp;nbsp;(Simon and Azam 1989).&amp;lt;/p&amp;gt;
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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. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB21/</gco:CharacterString>
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    <gmi:instrument gco:nilReason="unknown"/>
  </gmi:MI_Platform>
</gmi:platform>
          </gmi:MI_AcquisitionInformation>
  </gmi:acquisitionInformation>
</gmi:MI_Metadata>
