Contributors | Affiliation | Role |
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Lipp, Erin K. | University of Georgia (UGA) | Principal Investigator |
Landing, William M. | Florida State University EOAS (FSU - EOAS) | Co-Principal Investigator |
Ottesen, Elizabeth | University of Georgia (UGA) | Co-Principal Investigator |
Wetz, Michael | Texas A&M University (TAMU) | Co-Principal Investigator |
Copley, Nancy | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Nutrient concentrations, microbiology (Vibrio abundance), trace metals, and environmental conditions from collection sites in the Florida Keys National Marine Sanctuary, 2014-2016.
Samples were collected offshore from Alligator Reef (2014) and Looe Key Reef (2015-2016). Measurements included temperature, salinity, pH, abundance of Vibrio, chlorophyll-a, DOC, TDN, DON, NH4, NO3, NO2, Orthophosphate ,SiO4, and dFe.
Dissolved organic carbon (DOC) and total dissolved nitrogen (TDN) were determined using the filtrate of water samples that were passed through precombusted 25 mm GF/F filters and stored frozen (-20C) until analysis. Samples were subsequently analyzed using the High Temperature Catalytic Oxidation method on a Shimadzu TOC-Vs analyzer with nitrogen module. Standard curves were run twice daily using a DIW blank and five concentrations of either acid potassium phthalate solution or potassium nitrate for DOC and TDN, respectively. Three to five subsamples were taken from each standard and water sample and injected in sequence. Reagent grade glucosamine was used as a laboratory check standard and inserted throughout each run, as were Certified Reference Material Program (CRMP) deep-water standards of known DOC/TDN concentration.
Nutrients data went through internal lab QAQC process. BDL means below detection limit. The method detection limit (MDL) was determined using 9 samples on two different runs and correct student-T value.
BCO-DMO Processing Notes:
- added conventional header with dataset name, PI name, version date
- modified parameter names to conform with BCO-DMO naming conventions
- nd (no data) was entered into all blank cells
- reduced number of significant digits of Vibrio and nutrient values to 2 digits to right of decimal and lat/lon to 5 digits.
- re-formatted date from m/d/yyyy to yyyy-mm-dd
- replaced spaces with underscores
File |
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Vibrio_collection2.csv (Comma Separated Values (.csv), 24.65 KB) MD5:cd65d623398ec2c71031b35db5a08b03 Primary data file for dataset ID 663707 |
Parameter | Description | Units |
sample | sample identifier | unitless |
date | sampling date formatted as yyyy-mm-dd | year-month-day |
time_start_local | local start time formatted as HH:MM | hours:minutes |
depth | depth | feet |
location | sample collection location | unitless |
station_notes | comments pertaining to the station | unitless |
lat | latitude; north is positive | decimal degrees |
lon | longitude; east is positive | decimal degrees |
temp | temperature | degrees Celsius |
sal | salinity | Practical Salinity Units (PSU) |
pH | pH: The measure of the acidity or basicity of an aqueous solution | unitless; pH scale |
Vibrio | Vibrio colony concentration. CFU/ml determined by spread on TCBS agar in triplicate for each experimental replicate and counting green and yellow colonies after 18 - 24 incubation at 30 C. limit of detection was 3.3 CFU/ml (determined using 100 ul spread volume in triplicate); 0.0 = below detection limit. | colony forming units/milliliter (CFU/ml) |
Chl_a | Chlorophyll-a concentration determined by acetone freeze thaw using EPA method 445.0 (non-acidification); bdl for below detection limit. | micrograms/liter (ug/ml) |
DOC | Dissolved organic carbon concentration: determined using oxidative high temperature combustion-infrared analysis. MDL is 11.16 micromol/L. | micromoles/liter (ug/ml) |
TDN | Total dissolved nitrogen concentration determined using oxidative high temperature combustion-infrared analysis. | micromoles/liter (ug/ml) |
DON | Dissolved organic nitrogen concentration; MDL is 5.38 micromol/L (determined using 9 samples on two different runs and correct student-T value). bdl = below detection limit. | micromoles/liter (ug/ml) |
NH4 | Ammonium concentration determined by the automated phenate method 4500-NH3G. (20th Edition Std. Meth.); MDL is 0.3 micro gram/L (determined using 9 samples on two different runs and correct student-T value). bdl = below detection limit. | micromoles/liter (ug/ml) |
NO3 | Nitrate concentration determined by the automated cadmium reduction method 4500-NO3- F (20th Edition Std. Meth.); MDL is 0.3 micro gram/L (determined using 9 samples on two different runs and correct student-T value). bdl = below detection limit. | micromoles/liter (ug/ml) |
NO2 | Nitrite concentration determined as with Nitrate without running the sample through a cadmium column (20th Edition Std. Meth.); MDL is 0.1 micro gram/L (determined using 9 samples on two different runs and correct student-T value). bdl = below detection limit. | micromoles/liter (ug/ml) |
Orthophosphate | Orthophosphate concentration determined by the automated ascorbic acid reduction method 4500-P F. (20th Edition Std. Meth.); MDL is 0.2 micro gram/L (determined using 9 samples on two different runs and correct student-T value). bdl = below detection limit. | micromoles/liter (ug/ml) |
SiO4 | Silicate concentration determined by the automated molybdate-reactive silica method 4500-SiO2 E. (20th Edition Std. Meth.); MDL is 0.3 micro gram/L (determined using 9 samples on two different runs and correct student-T value). bdl = below detection limit. | micromoles/liter (ug/ml) |
dFe | dissolved iron concentration determined in the 0.2 um filtered fraction using ICP-MSas described in Milne et al. 2010. Analytica Chimera Acta 665: 200-207 | nanomoles/liter (ug/ml) |
Dataset-specific Instrument Name | chemoluminescence gas analyzer |
Generic Instrument Name | Gas Analyzer |
Dataset-specific Description | To measure dissolved organic nitrogen |
Generic Instrument Description | Gas Analyzers - Instruments for determining the qualitative and quantitative composition of gas mixtures. |
Dataset-specific Instrument Name | |
Generic Instrument Name | plate reader |
Dataset-specific Description | To measure colony counts |
Generic Instrument Description | Plate readers (also known as microplate readers) are laboratory instruments designed to detect biological, chemical or physical events of samples in microtiter plates. They are widely used in research, drug discovery, bioassay validation, quality control and manufacturing processes in the pharmaceutical and biotechnological industry and academic organizations. Sample reactions can be assayed in 6-1536 well format microtiter plates. The most common microplate format used in academic research laboratories or clinical diagnostic laboratories is 96-well (8 by 12 matrix) with a typical reaction volume between 100 and 200 uL per well. Higher density microplates (384- or 1536-well microplates) are typically used for screening applications, when throughput (number of samples per day processed) and assay cost per sample become critical parameters, with a typical assay volume between 5 and 50 µL per well. Common detection modes for microplate assays are absorbance, fluorescence intensity, luminescence, time-resolved fluorescence, and fluorescence polarization. From: http://en.wikipedia.org/wiki/Plate_reader, 2014-09-0-23. |
Website | |
Platform | Florida Keys National Marine Sanctuary |
Start Date | 2014-07-22 |
End Date | 2015-05-09 |
Description | Microbial studies |
Description from NSF award abstract:
Dust and mineral aerosols are a significant source of micro and macronutrients to oligotrophic ocean surface waters. Evidence is growing that heterotrophic microbes may play key roles in processing deposited minerals and nutrients. Yet it is not known which components of dust stimulate the heterotrophic bacteria, which cellular mechanisms are responsible for the utilization of those components and how the activity of these bacteria affect the availability and utilization of dust-derived minerals and nutrients by marine autotrophs. Knowledge of these factors is key to understanding how dust deposition impacts carbon cycles and for predicting the response of tropical oceans to future changes in the frequency and intensity of dust deposition events. The objective of this project is to examine the specific effects of aeolian dust on heterotrophic microbes in a tropical marine system under controlled conditions. The central hypothesis is that in oligotrophic tropical systems numerically minor opportunistic bacteria are the first responders to influx of dust constituents and respond primarily by rapidly accessing soluble trace metals and limiting nutrients that are deposited with Saharan dust. The project will focus on two specific aims: 1) Quantify changes in community structure, composition and transcriptional activity among marine microbial populations upon exposure to dust, and 2) Identify key components in Saharan dust aerosols that stimulate or repress growth and/or activity in Vibrio, a model opportunistic marine heterotrophic group. The study will use a series of controlled experiments designed to identify and quantify heterotrophic microbial response to dust deposition events using both natural communities and model bacteria (Vibrio) through metagenomics, transcriptomics and atmospheric and marine biogeochemical techniques. This innovative approach will identify the most critical (reactive) components leached from dust aerosols on the microbial community as well as elucidate potential mechanisms of response.
There is great interest in the biological response to dust aerosols given its potentially large influence on biogeochemical cycling, but there has been relatively little work that has addressed the mechanisms of response (especially among the heterotrophic microbial fraction) or identified the relative importance of specific constituents of dust aerosols. A detailed framework for microbial response (focusing on opportunistic heterotrophs) will facilitate efforts to link autotrophic and heterotrophic processing. This contribution is significant because it will provide one of the first end-to-end (chemistry to physiology to ecology) mechanistic pathways for marine biological response to desert dust aerosols.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |