http://lod.bco-dmo.org/id/dataset/1004689
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2026-08-11
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
KEGG gene differential expression data for mixotrophs and diatoms from an iron incubation experiment during the PUPCYCLE II R/V Sally Ride cruise within the California Current System in May-June 2023
2026-09-03
publication
2026-09-03
revision
Woods Hole Oceanographic Institution (WHOI BCO-DMO)
2026-09-30
publication
https://doi.org/10.26008/1912/bco-dmo.1004689.1
Adrian Marchetti
University of North Carolina at Chapel Hill
principalInvestigator
Natalie Cohen
University of Georgia
principalInvestigator
Astrid Schnetzer
North Carolina State University
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Speciale, E., Lim, P., Jeong, Y., Cook, C., Cohen, N., McClure, W., Schnetzer, A., Marchetti, A. (2026) KEGG gene differential expression data for mixotrophs and diatoms from an iron incubation experiment during the PUPCYCLE II R/V Sally Ride cruise within the California Current System in May-June 2023. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2026-09-03 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.1004689.1 [access date]
KEGG gene differential expression from PUPCYCLE II Dataset Description: <p>This dataset is one of many generated from an iron incubation experiment conducted as part of the PUPCYCLE II cruise in May and June 2023. The different analyses are listed here, with links to other datasets from this study in the Related Datasets section.</p>
<p>Analyses&nbsp;include:</p>
<ul>
<li>Physiology (dataset 994607)
<ul>
<li>Dissolved inorganic nutrients (nitrate, phosphate, silicic acid)</li>
<li>Size-fractionated chlorophyll a</li>
<li>Size-fractionated isotope uptake rates (nitrate and DIC)</li>
<li>Flow cytometry</li>
<li>FlowCAM analysis</li>
<li>FLP experiments for mixotroph cell-specific grazing rates</li>
</ul>
</li>
<li>RNA taxonomy data for normalized reads (dataset 1003525)</li>
<li>Differential expression for +Fe versus DFB treatments at T1 and T2: Pfam
<ul>
<li>Mixotroph Pfam (dataset 1004659)</li>
<li>Diatom Pfam (dataset 1004674)</li>
</ul>
</li>
<li><strong>Differential expression for +Fe versus DFB treatments at T1 and T2 for mixotrophs and diatoms: KEGG gene&nbsp;(this dataset 1004689)</strong></li>
<li>Differential expression for +Fe versus DFB treatments at T1 and T2 for mixotrophs and diatoms: KEGG pathways (dataset 1004704)</li>
<li>Dissolved iron concentrations (dataset 1004007)</li>
</ul>
<p>See Related Datasets section below for links to above mentioned datasets.</p> Methods and Sampling: <p>Data collection took place on the R/V Sally Ride from May 29th to June 10th, 2023. To simulate upwelling conditions under different iron treatments, an onboard incubation experiment was conducted. Seawater for the incubation experiment was collected within the northern CCS, off the southern coast of Oregon at 43°02'42.7"N, 124°33'07.2"W. The collected seawater was deemed as freshly upwelled water and taken from a depth of 55 meters – which corresponds to a depth slightly below the euphotic zone receiving less than 1% irradiance – using trace-metal clean techniques on May 30th, 2023, 13:30 GMT. The seawater was pumped and homogenized using trace metal clean techniques, then transferred into a total of thirty 20 L low-density polyethylene cubitainers. Three cubitainers were immediately harvested for the initial timepoint (T0). The remaining twenty-seven cubitainers were assigned treatments: nine were unamended (Ctrl), nine were amended with 5 nM FeCl<sub>2&nbsp;</sub>(+Fe), and nine were amended with 200 nM desferrioxamine B, a strong iron chelator that inhibits dissolved iron uptake (DFB). The cubitainers were placed in an on-deck incubator covered with two layers of neutral density screening to simulate 26% of incident&nbsp;irradiance. The incubator was&nbsp;supplied with flow-through surface seawater to maintain ambient surface temperature. Three cubitainers from each treatment were harvested for each of the three subsequent timepoints: 48 hours (T1), 168 hours (T2), and 264 hours (T3) after incubation.</p>
<p><strong>RNA Collection and Metatranscriptomics.&nbsp;</strong>Cubitainers were harvested for RNA by collecting and filtering approximately 2.5 to 4 L of each sample onto 0.8 μm Pall Supor filters (142 mm) using a peristaltic pump; samples were then immediately flash frozen in liquid nitrogen and stored at -80°C. RNA was extracted using the RNAqueous-4PCR kit, according to the manufacturer's instructions with a few modifications – filters were cut up due to their large size, 200 μL of glass beads were added, and 3 mL of lysis buffer was added. RNA samples were sent to GENEWIZ for library preparation and sequencing with PolyA tail selection. Sequencing was performed on an Illumina HiSeq 4000 with a 2x150 bp configuration. GENEWIZ provided raw paired-end read sequences for each sample.&nbsp;</p>
<p>Raw reads were trimmed using Trim Galore v0.6.10 (Krueger, 2015), which uses Cutadapt (Martin, 2011), and quality control was assessed through FastQC (Andrews, 2010). A&nbsp;<em>de novo&nbsp;</em>metatranscriptome assembly was conducted using rnaSPAdes v3.15.5 for individual assemblies (Bushmanova et al., 2019) and CD-HIT v4.8.1 for a grand assembly (Li &amp; Godzik, 2006). TransDecoder v5.7.1 was used to determine the most likely open reading frame (ORF) for each contig (Haas, 2023). ORFs were annotated using the Marine Functional Eukaryotic Reference Taxa (MarFERReT) database v1.1.1 (e-value &lt; 1e<sup>-06</sup>) (Groussman et al., 2023) for NCBI taxonomies (Federhen, 2011), PR<sup>2</sup>&nbsp;taxonomies (Guillou et al., 2012) and Pfam 34.0 functions (Mistry et al., 2021). To remove any potential bacterial contamination, ORFs were also annotated against the PhyloDB v1076 database using EUKulele (e-value &lt; 1e<sup>-06</sup>) (Krinos et al., 2020). Any ORF with a higher bitscore for a bacteria or virus compared to its MarFERReT annotation was removed (resulting in &lt; 3% of ORFs removed). To maximize functional annotation coverage, ORFs were annotated using eggNOG-mapper v2.1.12 (Cantalapiedra et al., 2021) to obtain annotations from the Kyoto Encyclopedia of Genes and Genomes (KEGG) (Kanehisa, 2000). Trimmed samples were then aligned to the grand assembly using Salmon v1.10.3 (Patro et al., 2017) and exported into a comprehensive counts table using tximport (Soneson et al., 2016).&nbsp;Reads not mapping to a protist group as defined by MarFERReT annotations were removed before downstream analysis.&nbsp;</p>
<p>DESeq2 was used to conduct differential expression analyses (Love et al., 2014). Differential expression analyses for KEGG genes were performed for reads mapping to mixotroph genera and reads mapping to the lineage Bacillariophyta (henceforth referred to as diatoms). Reads not mapping to the taxa group being analyzed were removed prior to normalization and statistical testing. Mixotrophs were identified based on constitutive mixotroph genera within the Mixoplankton Database (MDB) (Mitra et al., 2023 ). Reads were summed based on annotation ID prior to entering DESeq2 analysis; if a contig annotated to multiple IDs, its reads were evenly distributed between the mapped annotations. The differential expression analyses only focused on comparing +Fe vs DFB at T1 and T2.&nbsp;</p>
<p>&nbsp;</p>
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1751805 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1751805
completed
Adrian Marchetti
University of North Carolina at Chapel Hill
919-843-3473
123 South Rd.
Chapel Hill
NC
27514
USA
amarchet@email.unc.edu
pointOfContact
Natalie Cohen
University of Georgia
919-519-8297
10 Ocean Science Circle
Savannah
GA
31411
USA
cohen@uga.edu
pointOfContact
Astrid Schnetzer
North Carolina State University
919-515-7837
2800 Faucette Drive 4148 Jordan Hall
Raleigh
NC
27695
USA
aschnet@ncsu.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Taxa_Group
Timepoint
DE_Comparison
KEGG_KO
KEGG_Name
KEGG_Description
baseMean
log2FoldChange
lfcSE
stat
pvalue
padj
Latitude
Longitude
Illumina HiSeq 4000
Niskin bottle
theme
None, User defined
taxon
time_point
treatment
KEGG pathway identifier
KEGG pathway name
mean
fold change
standard error
Wald z-statistic
p-value
latitude
longitude
featureType
BCO-DMO Standard Parameters
Automated DNA Sequencer
Niskin bottle
instrument
BCO-DMO Standard Instruments
SR2311
service
Deployment Activity
California Current System
place
Locations
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
CAREER: An integrated molecular and physiological approach to examining the dynamics of upwelled phytoplankton in current and changing oceans
https://osprey.bco-dmo.org/project/768006
CAREER: An integrated molecular and physiological approach to examining the dynamics of upwelled phytoplankton in current and changing oceans
<p><em>NSF Award Abstract:</em><br />
Upwelling zones are hotspots of photosynthesis that are very dynamic in space and time. Microscopic algae, known as phytoplankton, bloom when deep, nutrient-rich waters are upwelled into sunlit surface layers of the ocean, providing nourishment that supports productive food webs and draws down carbon dioxide (CO2) from the atmosphere to the deep ocean. Photosynthetic microbes in these regions must constantly adapt to changes in their chemical and physical environments. For example, subsurface populations respond to changes in light as they approach the surface. When upwelled waters move offshore, cells sink out of the illuminated zone, establishing seed populations that remain inactive until the next upwelling event. This process is called the upwelling conveyor belt cycle (UCBC). How phytoplankton respond to these changes in environmental conditions and how they may influence their nutrient requirements remains unknown. With future ocean changes predicted to alter seawater chemistry, including ocean acidification and decreased iron availability, some phytoplankton groups may be more vulnerable than others. Accompanying educational activities provide learning experiences to enhance understanding and awareness of marine microbes. The development of a research hub at UNC aims to provide infrastructure and support for scientists and students conducting research on environmental genomics. A laboratory component for an upper-level undergraduate course focused on marine phytoplankton is being developed. Educational outreach activities to broader communities include creation of a lesson plan on phytoplankton in upwelling zones and a virtual research cruise experience for middle-school students, as well as a hands-on lab activity for a local museum focused on marine phytoplankton and the important roles they play in shaping our planet.</p>
<p>The project examines how phytoplankton respond at the molecular and physiological level to the different UCBC stages, which seed populations (i.e., surface versus subsurface) contribute most to phytoplankton blooms during upwelling events of varying intensity, how phytoplankton elemental compositions are altered throughout UCBC stages, and how future predicted ocean conditions will affect the phytoplankton responses to UCBC conditions. This project contains both laboratory and fieldwork. In the laboratory, phytoplankton isolates recently obtained from upwelling regions are exposed to simulated UCBC conditions to examine changes in gene expression, growth and photosynthetic characteristics and elemental composition. Cultures are subjected to both current and future ocean conditions, including reduced iron availability and higher CO2. In the field, research cruises within upwelling regions study the dynamics of natural phytoplankton communities (both surface and subsurface) experiencing upwelling and relaxation and within simulated upwelling incubation experiments. Knowledge of how phytoplankton are affected by UCBC conditions at an integrated molecular, physiological and elemental level under both current and future scenarios is imperative for the proper conservation and management of these critically important ecosystems.</p>
Upwelled Phytoplankton Dynamics
largerWorkCitation
project
eng; USA
biota
oceans
California Current System
-124.552
-124.552
43.045194
43.045194
2023-05-29
2023-06-10
California Upwelling Zone
0
BCO-DMO catalogue of parameters from KEGG gene differential expression data for mixotrophs and diatoms from an iron incubation experiment during the PUPCYCLE II R/V Sally Ride cruise within the California Current System in May-June 2023
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/1006961.rdf
Name: Taxa_Group
Units: unitless
Description: <p>Taxa group being targeted for differential expression analysis (Mixotroph or Diatom). All reads not mapping to the targeted taxa group were removed prior to analysis.</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006962.rdf
Name: Timepoint
Units: unitless
Description: <p>Timepoint identification (T1 or T2)</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006963.rdf
Name: DE_Comparison
Units: unitless
Description: <p>Treatments being targeted for differential expression analysis. This will always be +FevsDFB, representing the iron-replete vs iron-limited treatments.</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006964.rdf
Name: KEGG_KO
Units: unitless
Description: <p>Number ID of KEGG gene.</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006965.rdf
Name: KEGG_Name
Units: unitless
Description: <p>Short name of KEGG gene.</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006966.rdf
Name: KEGG_Description
Units: unitless
Description: <p>Long name of KEGG gene.</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006967.rdf
Name: baseMean
Units: number of normalized reads
Description: <p>The average expression level of the KEGG gene across all samples (normalized).</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006968.rdf
Name: log2FoldChange
Units: unitless
Description: <p>DESeq2-estimated log2 fold change in Pfam-domain expression for +Fe (iron-amended treatment) relative to DFB (iron-limited treatment); positive values indicate higher expression in +Fe and negative values indicate higher expression in DFB.</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006969.rdf
Name: lfcSE
Units: unitless
Description: <p>Standard error of log2FoldChange estimate.</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006970.rdf
Name: stat
Units: unitless
Description: <p>Test statistic used in Wald test to determine significance.</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006971.rdf
Name: pvalue
Units: unitless
Description: <p>Raw p-value from Wald test.</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006972.rdf
Name: padj
Units: unitless
Description: <p>The False Discovery Rate adjusted p-value using the Benjamini Hochberg correction.</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006973.rdf
Name: Latitude
Units: decimal degrees
Description: <p>Latitude of water sampling site</p>
http://lod.bco-dmo.org/id/dataset-parameter/1006975.rdf
Name: Longitude
Units: decimal degrees
Description: <p>Longitude of water sampling site</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
https://doi.org/10.26008/1912/bco-dmo.1004689.1
download
onLine
dataset
<p>Data collection took place on the R/V Sally Ride from May 29th to June 10th, 2023. To simulate upwelling conditions under different iron treatments, an onboard incubation experiment was conducted. Seawater for the incubation experiment was collected within the northern CCS, off the southern coast of Oregon at 43°02'42.7"N, 124°33'07.2"W. The collected seawater was deemed as freshly upwelled water and taken from a depth of 55 meters – which corresponds to a depth slightly below the euphotic zone receiving less than 1% irradiance – using trace-metal clean techniques on May 30th, 2023, 13:30 GMT. The seawater was pumped and homogenized using trace metal clean techniques, then transferred into a total of thirty 20 L low-density polyethylene cubitainers. Three cubitainers were immediately harvested for the initial timepoint (T0). The remaining twenty-seven cubitainers were assigned treatments: nine were unamended (Ctrl), nine were amended with 5 nM FeCl<sub>2&nbsp;</sub>(+Fe), and nine were amended with 200 nM desferrioxamine B, a strong iron chelator that inhibits dissolved iron uptake (DFB). The cubitainers were placed in an on-deck incubator covered with two layers of neutral density screening to simulate 26% of incident&nbsp;irradiance. The incubator was&nbsp;supplied with flow-through surface seawater to maintain ambient surface temperature. Three cubitainers from each treatment were harvested for each of the three subsequent timepoints: 48 hours (T1), 168 hours (T2), and 264 hours (T3) after incubation.</p>
<p><strong>RNA Collection and Metatranscriptomics.&nbsp;</strong>Cubitainers were harvested for RNA by collecting and filtering approximately 2.5 to 4 L of each sample onto 0.8 μm Pall Supor filters (142 mm) using a peristaltic pump; samples were then immediately flash frozen in liquid nitrogen and stored at -80°C. RNA was extracted using the RNAqueous-4PCR kit, according to the manufacturer's instructions with a few modifications – filters were cut up due to their large size, 200 μL of glass beads were added, and 3 mL of lysis buffer was added. RNA samples were sent to GENEWIZ for library preparation and sequencing with PolyA tail selection. Sequencing was performed on an Illumina HiSeq 4000 with a 2x150 bp configuration. GENEWIZ provided raw paired-end read sequences for each sample.&nbsp;</p>
<p>Raw reads were trimmed using Trim Galore v0.6.10 (Krueger, 2015), which uses Cutadapt (Martin, 2011), and quality control was assessed through FastQC (Andrews, 2010). A&nbsp;<em>de novo&nbsp;</em>metatranscriptome assembly was conducted using rnaSPAdes v3.15.5 for individual assemblies (Bushmanova et al., 2019) and CD-HIT v4.8.1 for a grand assembly (Li &amp; Godzik, 2006). TransDecoder v5.7.1 was used to determine the most likely open reading frame (ORF) for each contig (Haas, 2023). ORFs were annotated using the Marine Functional Eukaryotic Reference Taxa (MarFERReT) database v1.1.1 (e-value &lt; 1e<sup>-06</sup>) (Groussman et al., 2023) for NCBI taxonomies (Federhen, 2011), PR<sup>2</sup>&nbsp;taxonomies (Guillou et al., 2012) and Pfam 34.0 functions (Mistry et al., 2021). To remove any potential bacterial contamination, ORFs were also annotated against the PhyloDB v1076 database using EUKulele (e-value &lt; 1e<sup>-06</sup>) (Krinos et al., 2020). Any ORF with a higher bitscore for a bacteria or virus compared to its MarFERReT annotation was removed (resulting in &lt; 3% of ORFs removed). To maximize functional annotation coverage, ORFs were annotated using eggNOG-mapper v2.1.12 (Cantalapiedra et al., 2021) to obtain annotations from the Kyoto Encyclopedia of Genes and Genomes (KEGG) (Kanehisa, 2000). Trimmed samples were then aligned to the grand assembly using Salmon v1.10.3 (Patro et al., 2017) and exported into a comprehensive counts table using tximport (Soneson et al., 2016).&nbsp;Reads not mapping to a protist group as defined by MarFERReT annotations were removed before downstream analysis.&nbsp;</p>
<p>DESeq2 was used to conduct differential expression analyses (Love et al., 2014). Differential expression analyses for KEGG genes were performed for reads mapping to mixotroph genera and reads mapping to the lineage Bacillariophyta (henceforth referred to as diatoms). Reads not mapping to the taxa group being analyzed were removed prior to normalization and statistical testing. Mixotrophs were identified based on constitutive mixotroph genera within the Mixoplankton Database (MDB) (Mitra et al., 2023 ). Reads were summed based on annotation ID prior to entering DESeq2 analysis; if a contig annotated to multiple IDs, its reads were evenly distributed between the mapped annotations. The differential expression analyses only focused on comparing +Fe vs DFB at T1 and T2.&nbsp;</p>
<p>&nbsp;</p>
Specified by the Principal Investigator(s)
<p>Differential expression analysis was conducted through DESeq2’s “DESeq()” function in which significance is determined by estimating size factors (using median-of-ratios method), estimating dispersion, fitting a negative binomial generalized linear model, then hypothesis testing. For hypothesis testing, the Wald test is used followed by the Benjamini-Hochberg procedure for false discovery rate (which gives the p-adjusted value). A pathway was considered differentially expressed if the absolute value of log2FoldChange &gt; 1 and p-adjusted &lt; 0.05.</p>
<p>The metatranscriptomic pipeline code used for this project is publicly available at https://github.com/emilyspeciale/Speciale-Metatranscriptomics.&nbsp;</p>
<p><strong>Software:</strong>&nbsp;Trim Galore v0.6.10; FastQC&nbsp;v0.12.1; rnaSPAdes v3.15.5; CD-HIT v4.8.1; TransDecoder v5.7.1; EUKulele v2.0.9; eggNOG-mapper v2.1.12; Salmon v1.10.3; &nbsp;tximport v1.3.9; DESeq2.</p>
<p><strong>Databases/reference resources:</strong>&nbsp;MarFERReT v1.1.1; NCBI Taxonomy; PR2; Pfam 34.0; PhyloDB v1076;&nbsp;<span style="font-family:arial,sans-serif; font-size:13.3333px">Kyoto Encyclopedia of Genes and Genomes (KEGG)</span>; Mixoplankton Database (MDB).</p>
<ul>
<li>1. Raw reads were trimmed with Trim Galore v0.6.10 (Krueger, 2015)</li>
<li>2. Read quality was assessed with FastQC v0.12.1 (Andrews, 2010)</li>
<li>3.&nbsp;De novo metatranscriptome assemblies were generated&nbsp;using rnaSPAdes v3.15.5 (Bushmanova et al., 2019) for individual assemblies and&nbsp;CD-HIT v4.8.1 (Li &amp; Godzik, 2006) for the grand assembly</li>
<li>4. ORFs were identified with&nbsp;TransDecoder v5.7.1 (Haas, 2023).&nbsp;</li>
<li>5. Taxonomy and functional annotation via Marine&nbsp;Functional Eukaryotic Reference Taxa (MarFERReT) database v1.1.1 (Groussman et al., 2023); includes&nbsp;NCBI taxonomies (Federhen, 2011),&nbsp;PR2 taxonomies (Guillou et al., 2012), and&nbsp;Pfam 34.0 functions (Mistry et al., 2021).&nbsp;</li>
<li>6. PhyloDB v1076 filtering using EUKulele v2.0.9 (Krinos et al., 2020).&nbsp;</li>
<li>7. eggNOG-mapper v2.1.12 (Cantalapiedra et al., 2021) /&nbsp;KEGG annotation (Kanehisa, 2000)</li>
<li>8. Reads were quantified with Salmon v1.10.3 (Patro et al., 2017)&nbsp;</li>
<li>9. Reads were imported with tximport v1.3.9 (Soneson et al., 2016)</li>
<li>10. Taxonomic filtering where reads outside the target taxonomic group were removed</li>
<li>11. Annotation-ID read summation</li>
<li>12. DESeq2 v1.42.1 (Love et al., 2014) was used to compare +Fe versus DFB at T1 and T2</li>
</ul>
<p>&nbsp;</p>
Specified by the Principal Investigator(s)
CURATION ACTIONS PERFORMED ON DATA
- Loaded source file " BCO_DMO_PUPCYCLEII_KEGGgeneDE.csv" into the BCO-DMO system converting missing data identifier NA to empty cell.
- Added columns for latitude and longitude of water sampling station
- Set data types for first 6 columns to string, and all others to numeric, with p-values in scientific notation.
- Exported the final file as "1004689_v1_kegg_genes_diffexp.csv"
CURATION ACTIONS PERFORMED ON METADATA
- Added summary for broader study showing connections between related datasets
- Changed in-line citations to have format of (author, year) replacing number references.
- Corrected the FastQC citation to Andrews et al. (2010)
ISSUES POTENTIALLY IMPACTING REUSE
- N/A
Specified by BCO-DMO Data Managers
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
Illumina HiSeq 4000
Illumina HiSeq 4000
PI Supplied Instrument Name: Illumina HiSeq 4000 PI Supplied Instrument Description:Sequencing was performed on an Illumina HiSeq 4000 with a 2x150 bp configuration. Instrument Name: Automated DNA Sequencer Instrument Short Name:Automated Sequencer Instrument Description: A DNA sequencer is an instrument that determines the order of deoxynucleotides in deoxyribonucleic acid sequences.
Niskin bottle
Niskin bottle
PI Supplied Instrument Name: Niskin bottle PI Supplied Instrument Description:Freshly upwelled seawater was collected from approximately 55 meters depth using Niskin bottles Instrument Name: Niskin bottle Instrument Short Name:Niskin bottle 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. Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/
Cruise: SR2311
SR2311
R/V Sally Ride
Community Standard Description
International Council for the Exploration of the Sea
R/V Sally Ride
vessel
SR2311
Adrian Marchetti
University of North Carolina at Chapel Hill
R/V Sally Ride
Community Standard Description
International Council for the Exploration of the Sea
R/V Sally Ride
vessel