Contributors | Affiliation | Role |
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McManus, George | University of Connecticut (UConn - Avery Point) | Principal Investigator |
Katz, Laura A. | Smith College | Co-Principal Investigator |
Rauch, Shannon | Woods Hole Oceanographic Institution (WHOI BCO-DMO) | BCO-DMO Data Manager |
Accessory pigment analysis data for samples taken from 6 stations in Long Island Sound, including fucox, allox, lutein, gyrox, carotene, pheophorbide a, pheophytin a, chlorophyll, and others.
Related files and references:
Doherty, M, M Tamura, BA Costas, ME Ritchie, GB McManus, and LA Katz. 2010. Ciliate Diversity and Distribution Across an Environmental and Depth Gradient in Long Island Sound, USA. Environmental Microbiology 12:886-898. doi:10.1111/j.1462-2920.2009.02133.x (PDF)
Samples were collected on research cruise LIS0507 in the estuary of Long Island Sound on 01 June 2007. Sampling occurred at stations designed to capture the area where water exiting the Connecticut River forms a shallow plume of low-salinity water. For the HPLC analyses,100 ml samples were collected on glass fiber filters and extracted in acetone.
Samples were processed at Horn Point Lab (HPL). Samples were collected in a vacuum. Extraction in the lab took place on 06 November 2011. GF/F type filters of 25-mm diameter were used. Filters were stored at -70 degrees C prior to shipping to HPL. Pigment data were processed using CHEMTAX software.
BCO-DMO made the following modifications to the dataset: format of parameter names was changed to conform to BCO-DMO conventions; blanks were replaced with 'nd'.
File |
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HPLC_pigments.csv (Comma Separated Values (.csv), 36.02 KB) MD5:0d6aff018cf93b278b006e9d3195aed9 Primary data file for dataset ID 3646 |
Parameter | Description | Units |
cruiseid | Identifier that represents the research cruise. | dimensionless |
year | Year the sample was collected, in YYYY format. | dimensionless |
month_gmt | Month the sample was collected. Converted from text to GMT format (MM). | dimensionless |
day_gmt | Day the sample was collected, in DD format. | dimensionless |
yrday_gmt | Sequential day of the year on which the sample was collected. | dimensionless |
station | Numeric identifier of the sample station. | dimensionless |
sample | Unique identifier of the sample. Column originally named 'Original PI Sample Code'. | dimensionless |
sample_lab | Sample code assigned by the lab. Column originally named 'Horn Point Lab sample code'. | dimensionless |
sample_seq | Sequential sample number. | dimensionless |
site_descrip | Indicates if the sample site is located in ('in_plume') or out ('out_plume') of the plume. Column originally named 'In plume or out'. | dimensionless |
lat | Latitude in decimal degrees. | decimal degrees |
lon | Longitude in decimal degrees. Negative indicates West. | decimal degrees |
pigment | Name of the pigment measured: | dimensionless |
conc | Concentration of the pigment in micrograms/Liter. | ug/L |
time_gmt | GMT time in HHMM format. | dimensionless |
depth | Sample depth in meters. | meters |
vol_filt | Volume of water filtered, in milliliters. | mL |
comments | Comments. | dimensionless |
vol_extr | Volume extracted, measured in milliliters. | mL |
Dataset-specific Instrument Name | High Performance Liquid Chromatograph |
Generic Instrument Name | High-Performance Liquid Chromatograph |
Dataset-specific Description | HPLC pigment data was processed using CHEMTAX software. |
Generic Instrument Description | A High-performance liquid chromatograph (HPLC) is a type of liquid chromatography used to separate compounds that are dissolved in solution. HPLC instruments consist of a reservoir of the mobile phase, a pump, an injector, a separation column, and a detector. Compounds are separated by high pressure pumping of the sample mixture onto a column packed with microspheres coated with the stationary phase. The different components in the mixture pass through the column at different rates due to differences in their partitioning behavior between the mobile liquid phase and the stationary phase. |
Website | |
Platform | R/V Challenger |
Start Date | 2007-06-01 |
End Date | 2007-06-01 |
Description | Samples were collected at 6 stations in the estuary of Long Island Sound where water exiting the Connecticut River forms a shallow plume of low-salinity water. The cruise occurred on a small boat operated by UConn (known as R/V Challenger). |
The microbial ecologist Tom Fenchel recently said, “The decoupling of molecular and classical (including experimental) approaches to environmental microbiology has not been fruitful and it represents one of the most important challenges for the field in the coming years.” (Fenchel 2005). Classical approaches center on the centuries-old tradition of describing individual species via meticulous observation and analysis to generate monographs, such as is done for plants and animals. Unfortunately, the rush to new molecular techniques has sometimes ignored this tradition, with claims about new lineages never seen before and reports of staggering diversity of microbial eukaryotes based on environmental DNA samples not backed up by even the most elementary microscopic observations.
In the face of this disconnect between the traditional and the molecular, we propose a marriage of the two approaches in the study of marine ciliate diversity and gene flow. Our own data show that in some clades of planktonic ciliates (Strombidiidae) there is indeed a high level of molecular diversity underlying a relatively small number of morphospecies. In other clades (some choreotrichs), the opposite appears to be true, with morphological heterogeneity underlain by apparently clonal lines, based on molecular data. Currently, we do not understand what sustains diversity in some clades; nor do we know why other clades show low diversity. But this problem is amenable to both experimental and observational approaches.
This proposal uses a two-pronged approach, combining molecular (clone libraries, DGGE,FISH) and traditional (light microscopy) techniques to address three broad questions:
i. What are the most important physical and biological factors that affect distribution and diversity of planktonic marine ciliates?
ii. What is the effective population size for marine ciliate populations, and how does this compare to census population sizes?
iii. How well do traditional morphological descriptions of ciliate species fare when compared with molecular characterizations?
Using a combination of molecular and microscopy methods, we will address these questions in coastal planktonic ciliates. Analyses of the resulting data will yield insights into the nature of ciliate species and patterns of gene flow within the North Atlantic.
Funding Source | Award |
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NSF Division of Ocean Sciences (NSF OCE) |