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            <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/dataset/918841.rdf" xlink:actuate="onRequest">Diatom (Thalassiosira pseudonana) physiological data from experiments designed to study single-cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms conducted in December of 2022</gmx:Anchor>
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            <gco:CharacterString>Cite this dataset as: Orellana, M. V., Lausted, C., Huang, S. (2024) Diatom (Thalassiosira pseudonana) physiological data from experiments designed to study single-cell transcriptional profiling of nutrient acquisition heterogeneity in diatoms conducted in December of 2022. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2024-01-30 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.918841.1 [access date]</gco:CharacterString>
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        <gco:CharacterString>Methods and Sampling: &amp;lt;p dir=&amp;quot;ltr&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt;Cultures: Axenic &amp;lt;/span&amp;gt;&amp;lt;em&amp;gt;Thalassiosira pseudonana&amp;lt;/em&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt; (CCMP 1335, National Center for Marine Algae and Microbiota, Maine, USA; LSID &amp;lt;/span&amp;gt;urn:lsid:marinespecies.org:taxname:148934&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt;) batch cultures were grown in enriched artificial seawater (ESAW) medium modified with reduced levels of nitrate (170 μM) to characterize starvation. Before the experiment, the diatoms were acclimated to a constant 20 °C temperature and under a 12: 12 h dark: light diurnal cycle at 300 μmol photons·m&amp;lt;span style=&amp;quot;font-size:0.6em&amp;quot;&amp;gt;−2&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt;·s&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:0.6em&amp;quot;&amp;gt;−1&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt; using cool fluorescent lights. The cultures were continuously equilibrated at ambient (420 ppm CO&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:0.6em&amp;quot;&amp;gt;2&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt; by bubbling mixed gasses (air and CO&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:0.6em&amp;quot;&amp;gt;2&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt; at 0.4 L/min) regulated using mass-flow controllers (GFC17, Aalborg) and monitored with a CO&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:0.6em&amp;quot;&amp;gt;2&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt; analyzer (model Q-S151; Qubit Systems) into a 1.5-L glass bioreactor system. The bioreactors were inoculated with 150,000 cells/ml of acclimated, axenic &amp;lt;/span&amp;gt;&amp;lt;em&amp;gt;T. pseudonana&amp;lt;/em&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt; and grown for 5 days on a 12: 12 h dark: light cycle. The pH was monitored spectrophotometrically (Dickson et al. 2007); the photochemical yield of photosystem II (variable fluorescence/maximum fluorescence Fv/Fm) was measured with an AquaPen AP100; and total dissolved nitrogen was measure using the Nitrite/Nitrate, Colorimetric Test Roche # 11746081001) kit after syringe-filtering (0.2μm) the samples. Samples were taken twice a day, in the middle of dark-time, and the middle of the light-time representing different growth conditions regulating the metabolism based on light and nitrogen on days one and two (Ashworth et al. 2013). On days three and four, samples were only taken during the light time for experiment b. This experiment was repeated to evaluate the recovery of the cells from starvation by amending NO&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:0.6em&amp;quot;&amp;gt;3&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt; (170 uM+/- 5uM) on day 5, after 70 hrs of starvation for &amp;lt;/span&amp;gt;&amp;lt;em&amp;gt;T. pseudonana&amp;lt;/em&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt; and sampled at T1: 0h, T2: 1h and T3: 3 hr, and T4: 6 hr after adding the supplemental nitrogen. Samples T1, T2, T3, were set on ice in the dark before analysis at when T4 was sampled.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Experiment Metadata (physiology, gene and cell information):&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;

&amp;lt;div&amp;gt;Experiment&amp;lt;/div&amp;gt;

&amp;lt;div&amp;gt;Start_Date 12-4&amp;lt;/div&amp;gt;

&amp;lt;div&amp;gt;Light:Dark 12:12&amp;lt;/div&amp;gt;

&amp;lt;div&amp;gt;Lights_On 1:00 PM&amp;lt;/div&amp;gt;

&amp;lt;div&amp;gt;Lights_(umols/m.s) 1000 umoles m-2s-1&amp;lt;/div&amp;gt;

&amp;lt;div&amp;gt;CO2_ppm ~420&amp;lt;/div&amp;gt;

&amp;lt;div&amp;gt;scRNAseq_Timepoints 18 hours, 30 hours, 42 hours, 54 hours, 68 hours,&amp;amp;nbsp;80 hours, 92 hours&amp;lt;/div&amp;gt;

&amp;lt;div&amp;gt;scRNAseq_Timepoint_Labels&amp;lt;/div&amp;gt;

&amp;lt;div&amp;gt;Notes scRNA, Full ESAW nitrate limited (170uM). Starting innoculate = 150k/m&amp;lt;/div&amp;gt;</gco:CharacterString>
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        <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/award/857290.rdf" xlink:title="OCE-2029738" xlink:actuate="onRequest">Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-2029738 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=2029738</gmx:Anchor>
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            <gmx:Anchor xlink:href="https://ror.org/052w21a87" xlink:title="ROR ID" xlink:actuate="onRequest">University of Washington Friday Harbor Laboratories</gmx:Anchor>
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                    <gco:CharacterString>Institute for Systems Biology 401 Terry Avenue North</gco:CharacterString>
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                            <gco:CharacterString>&lt;p&gt;&lt;em&gt;NSF Award Abstract:&lt;/em&gt;&lt;br /&gt;
Diatoms are important primary producers in sunlit oceans and lakes across the globe. They are key players in spring phytoplankton blooms, which in turn support food webs that include productive fisheries. In addition, these photosynthetic diatom cells are known to capture enormous amounts of carbon, which are exported to depth as blooms die off. In oceanic systems, this process effectively removes carbon from the atmosphere for thousands of years. However, the biological mechanisms that lead to carbon sequestration, the transfer of carbon from the atmosphere into the deep ocean, are not well understood. As diatom populations reach the end of the bloom cycle, individual cells start to deteriorate and undergo cell death. The collapse of diatom populations is regarded as a critical point (or tipping point), which can be predicted by understanding the genetic activity of the population. This project seeks to elucidate how environmental change influences diatom cell-death processes. A mechanistic understanding of these cellular processes will elucidate how climate change could alter carbon-removal from the atmosphere and affect ocean productivity. The knowledge and methods developed during this study are applicable across organisms from all domains of life. The broader impacts of this project are focused on high school education and new ideas and approaches for three-dimensional learning opportunities in support of Next Generation Science Standards (NGSS). Specifically, researchers are working with high school educators and partners to teach concepts of systems approaches, tipping points, and carbon sequestration in the marine environment through educational modules.&lt;/p&gt;
&lt;p&gt;The goal is to determine the structure of diatom populations during the transition of actively growing cells towards population collapse by identifying the point of commitment (tipping point) at the level of individual cells. The model system is the diatom, Thalassiosira pseudonana, which is widespread and a common bloom-forming species. The random decision process of individual diatom cells is being characterized by establishing a genome-wide gene expression space through the physical and biochemical characterization of the cells. Implementation of the project is focused on measuring the phenotypic responses in the diatom to environmental factors including severe stress. Transcriptomic analyses during the transition of cell proliferation towards culture collapse include bulk (RNA-Seq) and single-cell (scRNA-Seq) high-throughput sequencing. Using a systems biology approach, the genetic information obtained from the samples is incorporated into predictive models to identify genetic transitions that occur prior to population collapse. The systems approach can detect changes in transcriptomic state that precede a critical point in the cell death process leading to predictions of how diatoms respond to environmental change. This work opens new vistas for the elucidation of mechanistic pathways of diatom cell populations.&lt;/p&gt;
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http://lod.bco-dmo.org/id/dataset-parameter/919123.rdf
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Before the experiment, the diatoms were acclimated to a constant 20 °C temperature and under a 12: 12 h dark: light diurnal cycle at 300 μmol photons·m&amp;lt;span style=&amp;quot;font-size:0.6em&amp;quot;&amp;gt;−2&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt;·s&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:0.6em&amp;quot;&amp;gt;−1&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt; using cool fluorescent lights. The cultures were continuously equilibrated at ambient (420 ppm CO&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:0.6em&amp;quot;&amp;gt;2&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt; by bubbling mixed gasses (air and CO&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:0.6em&amp;quot;&amp;gt;2&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt; at 0.4 L/min) regulated using mass-flow controllers (GFC17, Aalborg) and monitored with a CO&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:0.6em&amp;quot;&amp;gt;2&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt; analyzer (model Q-S151; Qubit Systems) into a 1.5-L glass bioreactor system. The bioreactors were inoculated with 150,000 cells/ml of acclimated, axenic &amp;lt;/span&amp;gt;&amp;lt;em&amp;gt;T. pseudonana&amp;lt;/em&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt; and grown for 5 days on a 12: 12 h dark: light cycle. The pH was monitored spectrophotometrically (Dickson et al. 2007); the photochemical yield of photosystem II (variable fluorescence/maximum fluorescence Fv/Fm) was measured with an AquaPen AP100; and total dissolved nitrogen was measure using the Nitrite/Nitrate, Colorimetric Test Roche # 11746081001) kit after syringe-filtering (0.2μm) the samples. Samples were taken twice a day, in the middle of dark-time, and the middle of the light-time representing different growth conditions regulating the metabolism based on light and nitrogen on days one and two (Ashworth et al. 2013). On days three and four, samples were only taken during the light time for experiment b. This experiment was repeated to evaluate the recovery of the cells from starvation by amending NO&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt;&amp;lt;span style=&amp;quot;font-size:0.6em&amp;quot;&amp;gt;3&amp;lt;/span&amp;gt;&amp;lt;/span&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt; (170 uM+/- 5uM) on day 5, after 70 hrs of starvation for &amp;lt;/span&amp;gt;&amp;lt;em&amp;gt;T. pseudonana&amp;lt;/em&amp;gt;&amp;lt;span style=&amp;quot;background-color:transparent; color:rgb(0, 0, 0); font-family:arial,sans-serif; font-size:11pt&amp;quot;&amp;gt; and sampled at T1: 0h, T2: 1h and T3: 3 hr, and T4: 6 hr after adding the supplemental nitrogen. Samples T1, T2, T3, were set on ice in the dark before analysis at when T4 was sampled.&amp;lt;br /&amp;gt;
&amp;lt;br /&amp;gt;
Experiment Metadata (physiology, gene and cell information):&amp;lt;/span&amp;gt;&amp;lt;/p&amp;gt;

&amp;lt;div&amp;gt;Experiment&amp;lt;/div&amp;gt;

&amp;lt;div&amp;gt;Start_Date 12-4&amp;lt;/div&amp;gt;

&amp;lt;div&amp;gt;Light:Dark 12:12&amp;lt;/div&amp;gt;

&amp;lt;div&amp;gt;Lights_On 1:00 PM&amp;lt;/div&amp;gt;

&amp;lt;div&amp;gt;Lights_(umols/m.s) 1000 umoles m-2s-1&amp;lt;/div&amp;gt;

&amp;lt;div&amp;gt;CO2_ppm ~420&amp;lt;/div&amp;gt;

&amp;lt;div&amp;gt;scRNAseq_Timepoints 18 hours, 30 hours, 42 hours, 54 hours, 68 hours,&amp;amp;nbsp;80 hours, 92 hours&amp;lt;/div&amp;gt;

&amp;lt;div&amp;gt;scRNAseq_Timepoint_Labels&amp;lt;/div&amp;gt;

&amp;lt;div&amp;gt;Notes scRNA, Full ESAW nitrate limited (170uM). Starting innoculate = 150k/m&amp;lt;/div&amp;gt;</gco:CharacterString>
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