Contributors | Affiliation | Role |
---|---|---|
Thamatrakoln, Kimberlee | Rutgers University (Rutgers IMCS) | Principal Investigator, Contact |
Brzezinski, Mark A. | University of California-Santa Barbara (UCSB-LifeSci) | Co-Principal Investigator |
Ake, Hannah | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Bacteria and virus abundance data from the MV1405 cruise. Samples were collected by CTD.
Environmental Sample Collection
Fluorescent DNA staining (for bacterial and viral abundances)
Analysis (for bacterial and viral abundances)
Samples are analyzed on Influx Model 209S Mariner flow cytometer using BD Software (BD Biosciences).
TE buffer with SYBR Gold recipe
1X TE (for 100 mls)
1 ml of 1M Tris, pH 8.0
1 ml of 0.5 mM EDTA
98 mls MQ water
Store 4 degrees celsius
1X TE + SYBR Gold (for 10 mls)
DMO notes:
- added cruise_id column
- changed column names to meet BCO-DMO standards
- added ISO_DateTime_UTC column
- reformatted lat/lon to appear in decimal degrees
- removed prefix "stn" and "sta" from numbers in station column
File |
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bact_virus_counts.csv (Comma Separated Values (.csv), 2.55 KB) MD5:7774822eedb47e1802b8406e8fb52b08 Primary data file for dataset ID 652259 |
Parameter | Description | Units |
cruise_id | cruise where samples were collected | unitless |
station | station where samples were collected | unitless |
CTD | CTD cast | unitless |
depth | depth of sample collection | meters |
date_GMT | GMT date of cast; mm/dd/yy | unitless |
yearday_GMT | GMT day of year. | unitless |
time_GMT | GMT time of cast; HH:MM | unitless |
lat | latitude | decimal degrees |
lon | longitude | decimal degrees |
bacteria | bacteria-like particle abundance | bacteria per milliliter |
virus | virus-like particle abundance (VLP) | VLP per milliliter |
ISO_DateTime_UTC | DateTime (UTC) ISO formatted | unitless |
Dataset-specific Instrument Name | Influx Model 209S Mariner Flow Cytometer |
Generic Instrument Name | Flow Cytometer |
Dataset-specific Description | Samples analyzed on flow cytometer using BD Software (BD Biosciences). |
Generic Instrument Description | Flow cytometers (FC or FCM) are automated instruments that quantitate properties of single cells, one cell at a time. They can measure cell size, cell granularity, the amounts of cell components such as total DNA, newly synthesized DNA, gene expression as the amount messenger RNA for a particular gene, amounts of specific surface receptors, amounts of intracellular proteins, or transient signalling events in living cells.
(from: http://www.bio.umass.edu/micro/immunology/facs542/facswhat.htm) |
Website | |
Platform | R/V Melville |
Start Date | 2014-07-03 |
End Date | 2014-07-26 |
Description | Deployment MV1405 on R/V Melville. Cruise took place during July 2014. |
Description from NSF award abstract:
Diatoms, unicellular, eukaryotic photoautotrophs, are among the most ecologically successful and functionally diverse organisms in the ocean. In addition to contributing one-fifth of total global primary productivity, diatoms are also the largest group of silicifying organisms in the ocean. Thus, diatoms form a critical link between the carbon and silicon (Si) cycles. The goal of this project is to understand the molecular regulation of silicification processes in natural diatom populations to better understand the processes controlling diatom productivity in the sea. Through culture studies and two research cruises, this research will couple classical measurements of silicon uptake and silica production with molecular and biochemical analyses of Silicification-Related Gene (SiRG) and protein expression. The proposed cruise track off the West Coast of the US will target gradients in Si and iron (Fe) concentrations with the following goals: 1) Characterize the expression pattern of SiRGs, 2) Correlate SiRG expression patterns to Si concentrations, silicon uptake kinetics, and silica production rates, 3) Develop a method to normalize uptake kinetics and silica production to SiRG expression levels as a more accurate measure of diatom activity and growth, 4) Characterize the diel periodicity of silica production and SiRG expression.
It is estimated that diatoms process 240 Teramoles of biogenic silica each year and that each molecule of silicon is cycled through a diatom 39 times before being exported to the deep ocean. Decades of oceanographic and field research have provided detailed insight into the dynamics of silicon uptake and silica production in natural populations, but a molecular understanding of the factors that influence silicification processes is required for further understanding the regulation of silicon and carbon fluxes in the ocean. Characterizing the genetic potential for silicification will provide new information on the factors that regulate the distribution of diatoms and influence in situ rates of silicon uptake and silica production. This research is expected to provide significant information about the molecular regulation of silicification in natural populations and the physiological basis of Si limitation in the sea.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) | |
NSF Division of Ocean Sciences (NSF OCE) |