http://lod.bco-dmo.org/id/dataset/773486
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
2019-07-18
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
Phytoplankton MicroTOOLs microarray-based metatranscriptomes collected from a nutrient amendment experiment conducted during R/V New Horizon Cruise NH1417 in the California Current System from 2014-08-23 to 2014-08-26
2019-07-18
publication
2019-07-18
revision
BCO-DMO Linked Data URI
2019-07-18
creation
http://lod.bco-dmo.org/id/dataset/773486
Jonathan P. Zehr
University of California-Santa Cruz
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: Zehr, J. P., Shilova, I. (2019) Phytoplankton MicroTOOLs microarray-based metatranscriptomes collected from a nutrient amendment experiment conducted during R/V New Horizon Cruise NH1417 in the California Current System from 2014-08-23 to 2014-08-26. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-07-18 [if applicable, indicate subset used]. http://lod.bco-dmo.org/id/dataset/773486 [access date]
Dataset Description: Transcription changes by surface microbial communities from the California Current System in response to added nitrogen and/or iron substrates were assessed using MicroTOOLs microarrays. Samples were collected during the R/V New Horizon Cruise NH1417 in 2014.
These data are available at The National Center for Biotechnology Information (NCBI) under NCBI Gene Expression Omnibus (GEO) accession number GSE130464 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE130464. BioProject https://www.ncbi.nlm.nih.gov/bioproject/PRJNA540297.
The manuscript "Phytoplankton transcriptomic and physiological responses to fixed nitrogen in the California Current System" by Shilova and Magasin et al. (2020) describes the experiment, metatranscriptomic data, and results. The previously published manuscript details other measurements obtained from the same experiment and includes phytoplankton cell counts, Fast Repetition Rate Fluorometry measurements, nutrients and Chlorophyll a concentrations, and 16S rRNA gene sequences (Shilova et al., 2017). Methods and Sampling: Methodology:
Nutrient amendments incubation experiments were conducted during the Nitrogen Effects on Marine microOrganisms (NEMO) Cruise NH1417 in 2014 and described in Shilova et al. (2017). Briefly, seawater collected from 25 m depth at Stn. 38 on 24 August was used in on-deck perturbation experiments with different nitrogen substrates (nitrate, ammonium, urea, iron, nitrate with iron, and also with filtered deep water collected from 600 m depth). Control bottles with no added nutrients were included. The experiment setup was done under trace metal clean conditions. Experimental bottles were incubated on deck for 48 h, with RNA collected at 24 h for all treatments and also at the start of the incubation for controls (no substrate added). Experimental setup and physiological responses to added nutrients observed at 48 h are described in detail in Shilova et al. 2017.
Sampling and analytical procedures:
After 24 h incubation with N and Fe substrates, 2 L of seawater from each incubation were collected before sunrise and filtered onto 0.2 µm Supor membrane filters (Pall Corp., Ann Arbor, Michigan, U.S.A.) using peristaltic pumps. Filters were flash-frozen in liquid nitrogen immediately after filtering and stored at -80C until processing in the lab. Total RNA was extracted from environmental samples using DirectZol (Zymo Research). DNA was removed in a solution using RNase-Free DNase Kit (Qiagen), and RNA was purified again with RNA Clean Concentrator-25 (Zymo Research) according to the manufacturers’ protocols. The RNA quality and quantity were evaluated using the Agilent BioAnalyzer RNA Nano Kit and Qiagen Qubit. All samples with an RNA Integrity Number greater than 9 were processed for microarray analyses as described in Shilova et al., 2014. Cy3-labeled cDNA was hybridized at the Roy J. Carver Center for Genomics (The University of Iowa, USA) using a Gene Expression Hybridization Kit (Cat# 5188‐5242) and following a protocol based on One-Color Microarray-Based Gene Expression Analysis: Low Input Quick Amp Labeling [Version 6.7, September 2014]. Microarray platform GPL24371 Agilent-073391 MicroTOOLs_171K_oligo_v2.0 was used in this study. Microarrays were scanned at the Roy J. Carver Center for Genomics at the University of Iowa using an Agilent SureScan Microarray Scanner G2600D (Serial #: SG13134301) and using the Agilent scanning protocol GE1_1200_Jun14 (Feature Extractor software version 11.5.1.1).
Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1241221 Award URL: http://nsf.gov/awardsearch/showAward?AWD_ID=1241221
completed
Jonathan P. Zehr
University of California-Santa Cruz
831-459 4009
E&MS A438, Ocean Sciences Department 1156 High Street
Santa Cruz
CA
95064
USA
zehrj@ucsc.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Agilent BioAnalyzer RNA
Agilent SureScan Microarray Scanner G2600D
theme
None, User defined
Bioanalyzer
microarray scanner
instrument
BCO-DMO Standard Instruments
NH1417
service
Deployment Activity
Eastern Pacific between San Diego and Hawaii
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.
Dimensions of Biodiversity
http://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503446
Dimensions of Biodiversity
(adapted from the NSF Synopsis of Program)
Dimensions of Biodiversity is a program solicitation from the NSF Directorate for Biological Sciences. FY 2010 was year one of the program. [MORE from NSF]
The NSF Dimensions of Biodiversity program seeks to characterize biodiversity on Earth by using integrative, innovative approaches to fill rapidly the most substantial gaps in our understanding. The program will take a broad view of biodiversity, and in its initial phase will focus on the integration of genetic, taxonomic, and functional dimensions of biodiversity. Project investigators are encouraged to integrate these three dimensions to understand the interactions and feedbacks among them. While this focus complements several core NSF programs, it differs by requiring that multiple dimensions of biodiversity be addressed simultaneously, to understand the roles of biodiversity in critical ecological and evolutionary processes.
Dimensions of Biodiversity
largerWorkCitation
program
Oligotrophic phytoplankton community response to changes in N substrates and the resulting impact on genetic, taxonomic and functional diversity
https://www.bco-dmo.org/project/471899
Oligotrophic phytoplankton community response to changes in N substrates and the resulting impact on genetic, taxonomic and functional diversity
<p>(Extracted from NSF award abstract)</p>
<p>Marine phytoplankton are a diverse group of Prokaryotic and Eukaryotic unicellular organisms that account for approximately 50% of global carbon fixation. Nitrogen (N) is an essential element for microbial growth, but concentrations of bioavailable nitrogen in vast regions of subtropical ocean gyres are extremely low (submicromolar to nanomolar concentrations), and generally limit phytoplankton growth. Phytoplankton taxa differ in their genetic capabilities to take up and assimilate nutrients, and thus competition for different chemical forms of N (NH4+, NO3- and urea) and supply of these N-containing compounds are important controls on phytoplankton growth, productivity, and ultimately ecosystem function. The form and supply of N to phytoplankton have already been altered by anthropogenic activities, and with increasing environmental perturbations the effects will accelerate. To date however, there is limited information on how the N forms and fluxes impact the marine phytoplankton community composition and primary production. Similarly, determining the mechanisms of the response are crucial to assessing how ocean ecosystem function will respond to global climate change.</p>
<p>This project seeks to determine how taxonomic, genetic and functional dimensions of phytoplankton diversity are linked with community-level responses to the availability of different N substrates (NH4+, NO3-, and urea) in one of Earth's largest aquatic habitats, the North Pacific Subtropical Gyre. The project will characterize phytoplankton community composition change and gene expression, photosynthetic performance, carbon fixation, and single-cell level N and C uptake in different taxa within the phytoplankton assemblage in response to different N compounds. The research project is unique in investigating community-to-single-cell level function and species (strain)-specific gene expression patterns using state-of-the-art methods including fast repetition rate fluorometry, nanoscale secondary ion mass spectrometry and a comprehensive marine microbial community microarray. The results will provide predictive understanding of how changes in the availability of key nitrogen pools (N) may impact phytoplankton dynamics and function in the ocean.</p>
<p>References:</p>
<p>Karl, D. M., Bjorkman, K. M., Dore, J. E., Fujieki, L., Hebel, D. V., Houlihan, T., Letelier, R. M., Tupas, L. M. 2001. Ecological nitrogen-to-phosphorus stoichiometry at station ALOHA. Deep-Sea Research II. 48:1529 - 1566.</p>
<p>Karl, D. M., Letelier, R., Tupas, L., Dore, J., Christian, J. & Hebel, D. 1997. The role of nitrogen fixation in biogeochemical cycling in the subtropical North Pacific Ocean. Nature. 388:533-538.</p>
<p>McCarthy, J., Taylor, W. R., Taft, J. 1997. Nitrogenous nutrition of the plankton in the Chesapeake Bay. Limnology and Oceanography. 35:822 - 829.</p>
<p>Letelier, R., Karl, D. M. 1996. Role of Trichodesmium spp. in the productivity of the subtropical North Pacific Ocean. Marine Ecology Progress Series. 133:263 - 273.</p>
<p>Lipschultz, F. 1995. Nitrogen-specific uptake rates of marine phytoplankton isolated from natura populations of particles by flow cytometry. Marine Ecology Progress Series. 123:245-258.</p>
PhytoNsubResponse
largerWorkCitation
project
eng; USA
oceans
Eastern Pacific between San Diego and Hawaii
-129.954
-129.37
33.1237
33.502
2014-08-23
2014-08-26
North Pacific Subtropical Gyre at Station ALOHA, and a transect from San Diego, CA to Hawaii
0
BCO-DMO catalogue of parameters from Phytoplankton MicroTOOLs microarray-based metatranscriptomes collected from a nutrient amendment experiment conducted during R/V New Horizon Cruise NH1417 in the California Current System from 2014-08-23 to 2014-08-26
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
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://www.bco-dmo.org/dataset/773486/data/download
download
onLine
dataset
Methodology:
Nutrient amendments incubation experiments were conducted during the Nitrogen Effects on Marine microOrganisms (NEMO) Cruise NH1417 in 2014 and described in Shilova et al. (2017). Briefly, seawater collected from 25 m depth at Stn. 38 on 24 August was used in on-deck perturbation experiments with different nitrogen substrates (nitrate, ammonium, urea, iron, nitrate with iron, and also with filtered deep water collected from 600 m depth). Control bottles with no added nutrients were included. The experiment setup was done under trace metal clean conditions. Experimental bottles were incubated on deck for 48 h, with RNA collected at 24 h for all treatments and also at the start of the incubation for controls (no substrate added). Experimental setup and physiological responses to added nutrients observed at 48 h are described in detail in Shilova et al. 2017.
Sampling and analytical procedures:
After 24 h incubation with N and Fe substrates, 2 L of seawater from each incubation were collected before sunrise and filtered onto 0.2 µm Supor membrane filters (Pall Corp., Ann Arbor, Michigan, U.S.A.) using peristaltic pumps. Filters were flash-frozen in liquid nitrogen immediately after filtering and stored at -80C until processing in the lab. Total RNA was extracted from environmental samples using DirectZol (Zymo Research). DNA was removed in a solution using RNase-Free DNase Kit (Qiagen), and RNA was purified again with RNA Clean Concentrator-25 (Zymo Research) according to the manufacturers’ protocols. The RNA quality and quantity were evaluated using the Agilent BioAnalyzer RNA Nano Kit and Qiagen Qubit. All samples with an RNA Integrity Number greater than 9 were processed for microarray analyses as described in Shilova et al., 2014. Cy3-labeled cDNA was hybridized at the Roy J. Carver Center for Genomics (The University of Iowa, USA) using a Gene Expression Hybridization Kit (Cat# 5188‐5242) and following a protocol based on One-Color Microarray-Based Gene Expression Analysis: Low Input Quick Amp Labeling [Version 6.7, September 2014]. Microarray platform GPL24371 Agilent-073391 MicroTOOLs_171K_oligo_v2.0 was used in this study. Microarrays were scanned at the Roy J. Carver Center for Genomics at the University of Iowa using an Agilent SureScan Microarray Scanner G2600D (Serial #: SG13134301) and using the Agilent scanning protocol GE1_1200_Jun14 (Feature Extractor software version 11.5.1.1).
Specified by the Principal Investigator(s)
Microarray data was processed using the MicroTOOLs software pipeline (www.jzehrlab.com/microtools), and transcription changes were examined using the pipeline as well as an Ensemble of Gene Set Enrichment Analyses (Alhamdoosh et al. 2017) and Whole Genome Correlation Network Analysis (Langfelder and Horvath, 2008).
Specified by the Principal Investigator(s)
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
Agilent BioAnalyzer RNA
Agilent BioAnalyzer RNA
PI Supplied Instrument Name: Agilent BioAnalyzer RNA PI Supplied Instrument Description: The RNA quality and quantity were evaluated using the Agilent BioAnalyzer RNA Nano Kit and Qiagen Qubit. Instrument Name: Bioanalyzer Instrument Short Name:Bioanalyzer Instrument Description: A Bioanalyzer is a laboratory instrument that provides the sizing and quantification of DNA, RNA, and proteins. One example is the Agilent Bioanalyzer 2100.
Agilent SureScan Microarray Scanner G2600D
Agilent SureScan Microarray Scanner G2600D
PI Supplied Instrument Name: Agilent SureScan Microarray Scanner G2600D PI Supplied Instrument Description:Agilent SureScan Microarray Scanner G2600D (Serial #: SG13134301) Instrument Name: microarray scanner Instrument Short Name: Instrument Description: Microarray scanners are instruments used to detect and quantify the intensity of fluorescence of spots on a microarray slide, by selectively exciting fluorophores with a laser and measuring the fluorescence.
A microarray scanner typically consists of lasers, a special microscope, and a camera. The DNA material in the microarray is labeled with fluorescents which become excited by the lasers in the scanner. The microscope and camera work together to create a digital image of the array.
Cruise: NH1417
NH1417
R/V New Horizon
Community Standard Description
International Council for the Exploration of the Sea
R/V New Horizon
vessel
NH1417
Matthew M. Mills
Stanford University
R/V New Horizon
Community Standard Description
International Council for the Exploration of the Sea
R/V New Horizon
vessel