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     data   graph     files  public Diatom growth rates from samples collected on the Gould cruise LMG1411 in the Western
Antarctica Peninsula from 2014 (Polar Transcriptomes project)
   ?     I   M   background (external link) RSS BCO-DMO bcodmo_dataset_666201

The Dataset's Variables and Attributes

Row Type Variable Name Attribute Name Data Type Value
attribute NC_GLOBAL access_formats String .htmlTable,.csv,.json,.mat,.nc,.tsv
attribute NC_GLOBAL acquisition_description String Nine species of diatoms were isolated from the Western Antarctic Peninsula
along the PalmerLTER sampling grid in 2013 and 2014. Isolations were performed
using an Olympus CKX41 inverted microscope by single cell isolation with a
micropipette (Anderson 2005). Diatom species were identified by morphological
characterization and 18S rRNA gene (rDNA) sequencing. DNA was extracted with
the DNeasy Plant Mini Kit according to the manufacturer\u2019s protocols
(Qiagen). Amplification of the nuclear 18S rDNA region was achieved with
standard PCR protocols using eukaryotic-specific, universal 18S forward and
reverse primers. Primer sequences were obtained from Medlin et al. (1982). The
length of the region amplified is approximately 1800 base pairs (bp
).\u00a0Pseudo-nitzschia\u00a0species are often difficult to identify by their
18S rDNA sequence, therefore, additional support of the taxonomic
identification of\u00a0P.\u00a0subcurvata\u00a0was provided through sequencing
of the 18S-ITS1-5.8S regions. Amplification of this region was performed with
the 18SF-euk and 5.8SR_euk primers of Hubbard et al. (2008). PCR products were
purified using either QIAquick PCR Purification Kit (Qiagen) or ExoSAP-IT
(Affymetrix) and sequenced by Sanger DNA sequencing (Genewiz). Sequences were
edited using Geneious Pro software
([http://www.geneious.com](\\"http://www.geneious.com\\"), Kearse et al.,
2012) and BLASTn sequence homology searches were performed against the NCBI
nucleotide non-redundant (nr) database to determine species with a cutoff
identity of 98%.

Diatom phylogenetic analysis was performed with Geneious Pro and included 71
additional diatom 18S rDNA sequences from publically available genomes and
transcriptomes, including those in the MMETSP database. Diatom sequences were
trimmed to the same length and aligned with MUSCLE (Edgar 2004). A
phylogenetic tree was created in Mega with the Maximum-likelihood method of
tree reconstruction, the Jukes-Cantor genetic distance model (Jukes and Cantor
1969), and 100 bootstrap replicates.

Isolates were maintained at 4 deg C in constant irradiance at intensities of
either 10\u00a0umol\u00a0photons m-2\u00a0s-1\u00a0(low light) or
90\u00a0umol\u00a0photons m-2\u00a0s-1\u00a0(growth saturating light) and with
media containing high and low iron concentrations. Cultures were grown in the
synthetic seawater medium, AQUIL, enriched with filter sterilized vitamin and
trace metal ion buffer containing 100\u00a0umol\u00a0L-1\u00a0EDTA. The growth
media also contained 300 \u03bcmol L-1\u00a0nitrate,
200\u00a0umol\u00a0L-1\u00a0silicic acid and
20\u00a0umol\u00a0L-1\u00a0phosphate. Premixed Fe-EDTA (1:1) was added
separately for total iron concentrations of either 1370 nmol L-1\u00a0or 3.1
nmol L-1. Cultures were grown in acid-washed 28 mL polycarbonate centrifuge
tubes (Nalgene) and maintained in exponential phase by dilution. Specific
growth rates of successive transfers were calculated from the linear
regression of the natural\u00a0log of\u00a0in
vivo\u00a0chlorophyll\u00a0a\u00a0fluorescence using a Turner 10-AU
fluorometer (Brand et al. 1981).\u00a0

Statistical analyses of growth rates and photophysiological data were
performed with SigmaPlot 12.5 (SysStat Software Inc.). To test for significant
differences between treatments, Two-Way Analysis of Variance (ANOVA) was
performed with a significance level set\u00a0to\u00a0p<0.05. ANOVA also tests
for normality using Shapiro-Wilks and Equal Variance tests. Because ANOVA does
not test all interactions, an unpaired t-test was performed between \u2013FeLL
and +FeSL for u, Fv:Fm, and \u00a0oPSII. All tests passed the Shapiro-Wilks
Normality tests unless otherwise stated, in which case\u00a0p-values are
representative of the Mann-Whitney Rank Sum test. Post-hoc Tukey tests were
also performed in order to determine which treatments differed significantly
(p\u00a0< 0.05).

Cultures for high throughput sequencing of mRNA were grown in acid-washed 2L
polycarbonate bottles in iron-replete conditions under growth-saturating light
(90\u00a0umol\u00a0photons m-2\u00a0s-1). After reaching late
exponential/early stationary phase, cultures were harvested onto polycarbonate
filters (3.0 um pore size, 25 mm) and stored at -80 deg C. Total RNA was
extracted using the RNAqueous 4PCR Kit (Ambion) according to the
manufacturer\u2019s protocols. Residual genomic DNA was eliminated by DNAseI
digestion at 37 deg C for 45 min. An Agilent Bioanalyzer 2100 was used to
determine RNA integrity. mRNA libraries were generated with ~2\u00a0ug\u00a0of
total RNA and prepared with the Illumina TruSeq Stranded mRNA Library
Preparation Kit. Samples were individually barcoded and pooled prior to
sequencing on the Illumina MiSeq platform at the High Throughput Sequencing
Facility (HTSF) at UNC-Chapel Hill. Sequencing resulted in approximately 0.7-2
million paired-end reads of 2x300bp per sample.\u200b
attribute NC_GLOBAL awards_0_award_nid String 653228
attribute NC_GLOBAL awards_0_award_number String PLR-1341479
attribute NC_GLOBAL awards_0_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1341479 (external link)
attribute NC_GLOBAL awards_0_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_0_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_0_funding_source_nid String 355
attribute NC_GLOBAL awards_0_program_manager String Dr Chris H. Fritsen
attribute NC_GLOBAL awards_0_program_manager_nid String 50502
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String Growth Rate Data
Adrian Marchetti, PI
Version 11 October 2016
attribute NC_GLOBAL Conventions String COARDS, CF-1.6, ACDD-1.3
attribute NC_GLOBAL creator_email String info at bco-dmo.org
attribute NC_GLOBAL creator_name String BCO-DMO
attribute NC_GLOBAL creator_type String institution
attribute NC_GLOBAL creator_url String https://www.bco-dmo.org/ (external link)
attribute NC_GLOBAL data_source String extract_data_as_tsv.pl v1.0
attribute NC_GLOBAL date_created String 2016-11-28T17:33:50Z
attribute NC_GLOBAL date_modified String 2019-04-17T20:12:02Z
attribute NC_GLOBAL defaultDataQuery String &time
attribute NC_GLOBAL doi String 10.1575/1912/bco-dmo.666201.1
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/666201 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL instruments_0_acronym String Fluorometer
attribute NC_GLOBAL instruments_0_dataset_instrument_description String Used to determine cell growth rates
attribute NC_GLOBAL instruments_0_dataset_instrument_nid String 666209
attribute NC_GLOBAL instruments_0_description String A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ.
attribute NC_GLOBAL instruments_0_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/113/ (external link)
attribute NC_GLOBAL instruments_0_instrument_name String Fluorometer
attribute NC_GLOBAL instruments_0_instrument_nid String 484
attribute NC_GLOBAL instruments_0_supplied_name String Turner 10-AU
attribute NC_GLOBAL instruments_1_acronym String Inverted Microscope
attribute NC_GLOBAL instruments_1_dataset_instrument_description String Used to perform isolations
attribute NC_GLOBAL instruments_1_dataset_instrument_nid String 666208
attribute NC_GLOBAL instruments_1_description String An inverted microscope is a microscope with its light source and condenser on the top, above the stage pointing down, while the objectives and turret are below the stage pointing up. It was invented in 1850 by J. Lawrence Smith, a faculty member of Tulane University (then named the Medical College of Louisiana).

Inverted microscopes are useful for observing living cells or organisms at the bottom of a large container (e.g. a tissue culture flask) under more natural conditions than on a glass slide, as is the case with a conventional microscope. Inverted microscopes are also used in micromanipulation applications where space above the specimen is required for manipulator mechanisms and the microtools they hold, and in metallurgical applications where polished samples can be placed on top of the stage and viewed from underneath using reflecting objectives.

The stage on an inverted microscope is usually fixed, and focus is adjusted by moving the objective lens along a vertical axis to bring it closer to or further from the specimen. The focus mechanism typically has a dual concentric knob for coarse and fine adjustment. Depending on the size of the microscope, four to six objective lenses of different magnifications may be fitted to a rotating turret known as a nosepiece. These microscopes may also be fitted with accessories for fitting still and video cameras, fluorescence illumination, confocal scanning and many other applications.
attribute NC_GLOBAL instruments_1_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/LAB05/ (external link)
attribute NC_GLOBAL instruments_1_instrument_name String Inverted Microscope
attribute NC_GLOBAL instruments_1_instrument_nid String 675
attribute NC_GLOBAL instruments_1_supplied_name String Olympus CKX41
attribute NC_GLOBAL instruments_2_acronym String Bioanalyzer
attribute NC_GLOBAL instruments_2_dataset_instrument_description String Used to determine RNA integrity
attribute NC_GLOBAL instruments_2_dataset_instrument_nid String 666211
attribute NC_GLOBAL instruments_2_description String A Bioanalyzer is a laboratory instrument that provides the sizing and quantification of DNA, RNA, and proteins. One example is the Agilent Bioanalyzer 2100.
attribute NC_GLOBAL instruments_2_instrument_name String Bioanalyzer
attribute NC_GLOBAL instruments_2_instrument_nid String 626182
attribute NC_GLOBAL instruments_2_supplied_name String Agilent Bioanalyzer 2100
attribute NC_GLOBAL keywords String bco, bco-dmo, biological, chemical, data, dataset, depth, dmo, erddap, error, management, mean, mean_FvFm, mean_sigma, mean_specific_u, oceanography, office, preliminary, profiler, propogation, propogation_error_FvFm, propogation_error_sigma, propogation_error_u, relative, relative_FvFm, relative_sigma, relative_u, salinity, salinity-temperature-depth, sample, sample_size_FvFm, sample_size_sigma, sample_size_u, sigma, size, species, specific, statistics, std, std_error_FvFm, std_error_sigma, std_error_u, taxonomy, temperature, treatment, u
attribute NC_GLOBAL license String The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/666201 (external link)
attribute NC_GLOBAL param_mapping String {'666201': {}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/666201/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String University of North Carolina at Chapel Hill
attribute NC_GLOBAL people_0_affiliation_acronym String UNC-Chapel Hill
attribute NC_GLOBAL people_0_person_name String Adrian Marchetti
attribute NC_GLOBAL people_0_person_nid String 527120
attribute NC_GLOBAL people_0_role String Principal Investigator
attribute NC_GLOBAL people_0_role_type String originator
attribute NC_GLOBAL people_1_affiliation String University of North Carolina at Chapel Hill
attribute NC_GLOBAL people_1_affiliation_acronym String UNC-Chapel Hill
attribute NC_GLOBAL people_1_person_name String Adrian Marchetti
attribute NC_GLOBAL people_1_person_nid String 527120
attribute NC_GLOBAL people_1_role String Contact
attribute NC_GLOBAL people_1_role_type String related
attribute NC_GLOBAL people_2_affiliation String Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_2_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_2_person_name String Hannah Ake
attribute NC_GLOBAL people_2_person_nid String 650173
attribute NC_GLOBAL people_2_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_2_role_type String related
attribute NC_GLOBAL project String Iron and Light Limitation in Ecologically Important Polar Diatoms: Comparative Transcriptomics and Development of Molecular Indicators
attribute NC_GLOBAL projects_0_acronym String Polar_Transcriptomes
attribute NC_GLOBAL projects_0_description String The Southern Ocean surrounding Antarctica is changing rapidly in response to Earth's warming climate. These changes will undoubtedly influence communities of primary producers (the organisms at the base of the food chain, particularly plant-like organisms using sunlight for energy) by altering conditions that influence their growth and composition. Because primary producers such as phytoplankton play an important role in global biogeochemical cycling, it is essential to understand how they will respond to changes in their environment. The growth of phytoplankton in certain regions of the Southern Ocean is constrained by steep gradients in chemical and physical properties that vary in both space and time. Light and iron have been identified as key variables influencing phytoplankton abundance and distribution within Antarctic waters. Microscopic algae known as diatoms are dominant members of the phytoplankton and sea ice communities, accounting for significant proportions of primary production. The overall objective of this project is to identify the molecular bases for the physiological responses of polar diatoms to varying light and iron conditions. The project should provide a means of evaluating the extent these factors regulate diatom growth and influence net community productivity in Antarctic waters. The project will also further the NSF goals of making scientific discoveries available to the general public and of training new generations of scientists. It will facilitate the teaching and learning of polar-related topics by translating the research objectives into readily accessible educational materials for middle-school students. This project will also provide funding to enable a graduate student and several undergraduate students to be trained in the techniques and perspectives of modern biology.
Although numerous studies have investigated how polar diatoms are affected by varying light and iron, the cellular mechanisms leading to their distinct physiological responses remain unknown. Using comparative transcriptomics, the expression patterns of key genes and metabolic pathways in several ecologically important polar diatoms recently isolated from Antarctic waters and grown under varying iron and irradiance conditions will be examined. In addition, molecular indicators for iron and light limitation will be developed within these polar diatoms through the identification of iron- and light-responsive genes -- the expression patterns of which can be used to determine their physiological status. Upon verification in laboratory cultures, these indicators will be utilized by way of metatranscriptomic sequencing to examine iron and light limitation in natural diatom assemblages collected along environmental gradients in Western Antarctic Peninsula waters. In order to fully understand the role phytoplankton play in Southern Ocean biogeochemical cycles, dependable methods that provide a means of elucidating the physiological status of phytoplankton at any given time and location are essential.
attribute NC_GLOBAL projects_0_end_date String 2017-07
attribute NC_GLOBAL projects_0_geolocation String Antarctica
attribute NC_GLOBAL projects_0_name String Iron and Light Limitation in Ecologically Important Polar Diatoms: Comparative Transcriptomics and Development of Molecular Indicators
attribute NC_GLOBAL projects_0_project_nid String 653229
attribute NC_GLOBAL projects_0_project_website String http://www.nsf.gov/awardsearch/showAward?AWD_ID=1341479 (external link)
attribute NC_GLOBAL projects_0_start_date String 2014-08
attribute NC_GLOBAL publisher_name String Hannah Ake
attribute NC_GLOBAL publisher_role String BCO-DMO Data Manager(s)
attribute NC_GLOBAL sourceUrl String (local files)
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v29
attribute NC_GLOBAL summary String Diatom growth rates from samples collected on the Gould cruise LMG1411 in the Western Antarctica Peninsula from 2014 (Polar Transcriptomes project)
attribute NC_GLOBAL title String Diatom growth rates from samples collected on the Gould cruise LMG1411 in the Western Antarctica Peninsula from 2014 (Polar Transcriptomes project)
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.0-alpha
variable species   String  
attribute species description String Species analyzed
attribute species ioos_category String Taxonomy
attribute species long_name String Species
attribute species units String unitless
variable treatment   String  
attribute treatment description String Treatment condition
attribute treatment ioos_category String Unknown
attribute treatment long_name String Treatment
attribute treatment units String unitless
variable mean_specific_u   String  
attribute mean_specific_u description String Average growth rate in a specific treatment
attribute mean_specific_u ioos_category String Statistics
attribute mean_specific_u long_name String Mean Specific U
attribute mean_specific_u units String d -1
variable relative_u   float  
attribute relative_u _FillValue float NaN
attribute relative_u actual_range float 0.36, 1.0
attribute relative_u description String Relative growth rate
attribute relative_u ioos_category String Unknown
attribute relative_u long_name String Relative U
attribute relative_u units String unitless
variable std_error_u   float  
attribute std_error_u _FillValue float NaN
attribute std_error_u actual_range float 0.003, 0.058
attribute std_error_u colorBarMaximum double 50.0
attribute std_error_u colorBarMinimum double 0.0
attribute std_error_u description String Standard error of relative growth rate
attribute std_error_u ioos_category String Statistics
attribute std_error_u long_name String Std Error U
attribute std_error_u units String unitless
variable propogation_error_u   float  
attribute propogation_error_u _FillValue float NaN
attribute propogation_error_u actual_range float 0.01, 0.187
attribute propogation_error_u colorBarMaximum double 50.0
attribute propogation_error_u colorBarMinimum double 0.0
attribute propogation_error_u description String Relative growth rate error
attribute propogation_error_u ioos_category String Statistics
attribute propogation_error_u long_name String Propogation Error U
attribute propogation_error_u units String unitless
variable sample_size_u   byte  
attribute sample_size_u _FillValue byte 127
attribute sample_size_u actual_range byte 1, 14
attribute sample_size_u description String Number of samples recorded
attribute sample_size_u ioos_category String Unknown
attribute sample_size_u long_name String Sample Size U
attribute sample_size_u units String unitless
variable mean_FvFm   float  
attribute mean_FvFm _FillValue float NaN
attribute mean_FvFm actual_range float 0.25, 0.622
attribute mean_FvFm description String Average photosynthetic efficiency
attribute mean_FvFm ioos_category String Statistics
attribute mean_FvFm long_name String Mean Fv Fm
attribute mean_FvFm units String unitless
variable relative_FvFm   float  
attribute relative_FvFm _FillValue float NaN
attribute relative_FvFm actual_range float 0.0, 1.251
attribute relative_FvFm description String Relative photosynthetic efficiency
attribute relative_FvFm ioos_category String Unknown
attribute relative_FvFm long_name String Relative Fv Fm
attribute relative_FvFm units String unitless
variable std_error_FvFm   float  
attribute std_error_FvFm _FillValue float NaN
attribute std_error_FvFm actual_range float 0.01, 0.071
attribute std_error_FvFm colorBarMaximum double 50.0
attribute std_error_FvFm colorBarMinimum double 0.0
attribute std_error_FvFm description String Relative photosynthetic efficiency standard error
attribute std_error_FvFm ioos_category String Statistics
attribute std_error_FvFm long_name String Std Error Fv Fm
attribute std_error_FvFm units String unitless
variable propogation_error_FvFm   float  
attribute propogation_error_FvFm _FillValue float NaN
attribute propogation_error_FvFm actual_range float 0.0, 0.144
attribute propogation_error_FvFm colorBarMaximum double 50.0
attribute propogation_error_FvFm colorBarMinimum double 0.0
attribute propogation_error_FvFm description String Relative photosynthetic efficiency error
attribute propogation_error_FvFm ioos_category String Statistics
attribute propogation_error_FvFm long_name String Propogation Error Fv Fm
attribute propogation_error_FvFm units String unitless
variable sample_size_FvFm   byte  
attribute sample_size_FvFm _FillValue byte 127
attribute sample_size_FvFm actual_range byte 1, 12
attribute sample_size_FvFm description String Relative photosynthetic efficiency number of samples recorded
attribute sample_size_FvFm ioos_category String Unknown
attribute sample_size_FvFm long_name String Sample Size Fv Fm
attribute sample_size_FvFm units String unitless
variable mean_sigma   String  
attribute mean_sigma description String Average functional absorption cross-section of PSII
attribute mean_sigma ioos_category String Unknown
attribute mean_sigma long_name String Mean Sigma
attribute mean_sigma units String A2 quanta -1
variable relative_sigma   float  
attribute relative_sigma _FillValue float NaN
attribute relative_sigma actual_range float 0.752, 2.0
attribute relative_sigma description String Relative function absorption cross-section of PSII
attribute relative_sigma ioos_category String Unknown
attribute relative_sigma long_name String Relative Sigma
attribute relative_sigma units String unitless
variable std_error_sigma   float  
attribute std_error_sigma _FillValue float NaN
attribute std_error_sigma actual_range float 3.0, 48.0
attribute std_error_sigma colorBarMaximum double 50.0
attribute std_error_sigma colorBarMinimum double 0.0
attribute std_error_sigma description String Functional absorption cross-section of PSII standard error
attribute std_error_sigma ioos_category String Statistics
attribute std_error_sigma long_name String Std Error Sigma
attribute std_error_sigma units String unitless
variable propogation_error_sigma   float  
attribute propogation_error_sigma _FillValue float NaN
attribute propogation_error_sigma actual_range float 0.0, 0.207
attribute propogation_error_sigma colorBarMaximum double 50.0
attribute propogation_error_sigma colorBarMinimum double 0.0
attribute propogation_error_sigma description String Functional absorption cross-section of PSII error
attribute propogation_error_sigma ioos_category String Statistics
attribute propogation_error_sigma long_name String Propogation Error Sigma
attribute propogation_error_sigma units String unitless
variable sample_size_sigma   byte  
attribute sample_size_sigma _FillValue byte 127
attribute sample_size_sigma actual_range byte 1, 12
attribute sample_size_sigma description String Functional absorption cross-section of PSII number of samples recorded
attribute sample_size_sigma ioos_category String Unknown
attribute sample_size_sigma long_name String Sample Size Sigma
attribute sample_size_sigma units String unitless

The information in the table above is also available in other file formats (.csv, .htmlTable, .itx, .json, .jsonlCSV, .jsonlKVP, .mat, .nc, .nccsv, .tsv, .xhtml) via a RESTful web service.


 
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