Contributors | Affiliation | Role |
---|---|---|
Thompson, Anne W. | Portland State University (PSU) | Co-Principal Investigator, Contact |
Soenen, Karen | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Pyrosomes and seawater were collected from the NCC, off the Oregon Coast, in July 2018, near the peak of a multiyear bloom of P. atlanticum. Samples were collected from the R/V Sally Ride (SR1810) along the Newport Hydrographic Line. Station D5 (Cast 20, 44.652141N; 125.117573W) was sampled on July 9, 2018 in the presence of a strong temperature gradient in the top 20 meters and a chlorophyll peak at 17 meters. Station D3 (Cast 26, 44.651756N; 124.589313W) was sampled on July 11, 2018 in the presence of a mixed layer depth of 15 meters and a chlorophyll peak at the base of the mixed layer.
DNA extraction was done using the DNeasy Plant Tissue Mini Kit (Qiagen) with the following modifications. Pyrosome tissue was ground with a sterile pestle (Axygen, Tewksbury, USA) for 3 minutes prior to extraction. Seawater and pyrosome samples were lysed by bead beating with 0.55 mm and 0.25 mm sterile glass beads at 30 Hz for 2 minutes after addition of lysis buffer, freeze-fractured 3 times, incubated with Proteinase K (VWR Chemicals, Solon, OH, USA) at 20 mg/mL for 1 hour at 55 ˚C, and incubated with RNase A at 100 mg/mL for 10 minutes at 65 ˚C. To minimize amplification of eukaryotic host DNA, the primer pair 515F‐Y/806R was chosen to amplify the 16S rRNA V4 hypervariable region with conditions as published. Reactions were performed with 0.5-2 ng of DNA using the QuantaBio 5Prime HotMasterMix (Qiagen Beverly, MA, USA). The Agilent High Sensitivity Kit in the Bioanalyzer (Agilent Technologies, Waldbronn, Germany) confirmed amplicon size. Triplicate reactions from each sample were pooled and paired-end sequenced with Illumina MiSeq v.3 (Illumina, San Diego, USA).
* Converted NCBI biosample file to flat file format
* Merged biosample and SRA run file
* Removed no data columns from files
* Adjusted parameters to comply with databaser requirements (spaces, characters, etc)
* Converted date to ISO format
* Split lat/lon column into their own columns
Parameter | Description | Units |
bioproject_accession | NCBI Bioproject accession ID | unitless |
biosample_accession | NCBI Biosample accession ID | unitless |
sample_name | Submitter sample name | unitless |
sra_sample_accession | NCBI SRA sample accession ID | unitless |
sample_accession_title | Sample accession title | unitless |
organism_name | Organism name by submitter | unitless |
organism_taxonomy_id | NCBI Taxonomy ID | unitless |
organism_taxonomy_name | NCBI organism name related to taxonomy id | unitless |
keywords | NCBI biosample keywords | unitless |
biosample_package | NCBI biosample attribute package and package version | unitless |
collection_date | Collection date of organism | unitless |
env_broad_scale | Broad-scale environmental context | unitless |
env_local_scale | Local-scale environmental context | unitless |
env_medium | Material displaced by the entity at time of sampling | unitless |
geo_loc_name | Geographic location of the origin of the sample | unitless |
host | Host name | unitless |
sampling_lat | Latitude of sampling location, south is negative | decimal degrees |
sampling_lon | Longitude of sampling location, west is negative | decimal degrees |
depth | Sampling depth | meter (m) |
host_length | Length of the subject | centimeter (cm) |
source_material_id | Unique identifier assigned to a material sample used for extracting nucleic acids, and subsequent sequencing. | unitless |
status | Sample NCBI status (live) | unitless |
when | When status set | unitless |
access | Accessibility: public | unitless |
date_publication | Date of publication at NCBI | unitless |
date_last_update | Data of last update at NCBI | unitless |
date_submission_date | Date of submisison at NCBI | unitless |
sra_run_accession | NCBI SRA run accession ID | unitless |
sra_study_accession | NCBI study accession ID | unitless |
object_status | Status of object | unitless |
library_ID | Unique identifier for the sequencing library (can be the sample name repeated). | unitless |
title | Library title | unitless |
library_strategy | Sequencing library strategy | unitless |
library_source | Source of sequencing library | unitless |
library_selection | Selection used for sequencing library | unitless |
library_layout | single or paired end sequencing reads | unitless |
platform | Sequencing platform manufacturer | unitless |
instrument_model | Sequencer model | unitless |
design_description | Description explaining how this library was prepared and sequenced | unitless |
filetype | File type | unitless |
fasta_filename1 | Forward reads file name | unitless |
fasta_filename2 | Reverse reads file name | unitless |
Dataset-specific Instrument Name | Niskin CTD Rosette for seawater |
Generic Instrument Name | CTD - profiler |
Generic Instrument Description | The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column. The instrument is lowered via cable through the water column. It permits scientists to observe the physical properties in real-time via a conducting cable, which is typically connected to a CTD to a deck unit and computer on a ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or radiometers. It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast.
This term applies to profiling CTDs. For fixed CTDs, see https://www.bco-dmo.org/instrument/869934. |
Dataset-specific Instrument Name | MOCNESS for animals |
Generic Instrument Name | MOCNESS |
Generic Instrument Description | The Multiple Opening/Closing Net and Environmental Sensing System or MOCNESS is a family of net systems based on the Tucker Trawl principle. There are currently 8 different sizes of MOCNESS in existence which are designed for capture of different size ranges of zooplankton and micro-nekton Each system is designated according to the size of the net mouth opening and in two cases, the number of nets it carries. The original MOCNESS (Wiebe et al, 1976) was a redesigned and improved version of a system described by Frost and McCrone (1974).(from MOCNESS manual) This designation is used when the specific type of MOCNESS (number and size of nets) was not specified by the contributing investigator. |
Dataset-specific Instrument Name | Niskin CTD Rosette for seawater |
Generic Instrument Name | Niskin bottle |
Generic 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. |
Website | |
Platform | R/V Sally Ride |
Start Date | 2018-07-06 |
End Date | 2018-07-11 |
NSF Award Abstract:
The oceans are dominated by microscopic plants and animals (microorganisms) that are at the base of the food web and drive energy and carbon cycles on global scales. Soft jellylike animals called gelatinous grazers specialize in feeding on microorganisms using nets made out of mucus. Gelatinous grazers are abundant in the ocean and have high feeding rates on microorganisms so could have a very strong influence on the abundance and diversity of microorganisms and could change how oceanic food webs are currently understood. However, gelatinous grazers are very fragile and patchy in their distributions so it has been difficult to determine the magnitude and dynamics of these important predator-prey relationships on a meaningful scale using traditional approaches, thus they have typically been disregarded in food web studies. Learning more about the predator-prey relationship between gelatinous grazers and microorganisms will improve understanding of the structure, mechanics, and dynamics of the ocean's food web, which is a critical economic and ecosystem resource on Earth. This project is determining grazing rates by gelatinous animals on microbes to inform food web models. The project also trains students to communicate, disseminate, and interpret scientific findings. These broader impacts goals will be attained through partnerships at the University of Oregon (Applied Scientific Communication) and Portland State University (Advanced Technical Writing), training of 1 PhD student, 2 undergraduates, and 4 science communication interns, and development of a week-long workshop and establish student mentorship relationships towards production of communication products.
The project integrates laboratory and oceanographic approaches to address several specific aspects of the predator-prey relationship between gelatinous grazers and ocean microorganisms. Five distinct types of gelatinous grazers, each with different feeding morphologies and life history, will be studied in an oceanographic setting with an abundant and diverse natural microbial population. These target organisms include pelagic tunicates (salps, appendicularians, doliolods and pyrosomes) and thecosome pteropods. The approach quantifies: 1) grazing rates in the natural ocean environment, 2) particle selectivity with a focus on size and shape and, 3) the morphological and hydrodynamic properties of feeding that underlie the measured grazing rates and particle selection. The project uses a variety of techniques including sampling via SCUBA diving, laboratory experiments, high speed/high resolution videography, flow cytometry, and DNA sequencing techniques.
Funding Source | Award |
---|---|
NSF Division of Ocean Sciences (NSF OCE) |