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Articles 1 - 3 of 3
Full-Text Articles in Life Sciences
Next Generation Sequencing Methods For Coastal Zone Water Quality Monitoring, Catherine Iskrenko
Next Generation Sequencing Methods For Coastal Zone Water Quality Monitoring, Catherine Iskrenko
HCNSO Student Capstones
When analyzing the water quality of the coastal zone, culture-based techniques have been utilized most often to identify Fecal Indicator Bacteria in samples. Since the advent of the Sanger Method for DNA sequencing, other techniques have arisen that provide significantly more information on the microorganisms in sample, but they are still not the mainstream for water quality analysis. This capstone reviews and compares culture-based techniques, DNA sequencing, RNA sequencing, qPCR for biomarker, and 16S rDNA sequencing to highlight their merits and shortcomings for analyzing environmental water samples. The technique presented that provides the broadest range of information (including the identification …
Presence/Absence And Density Data For Epipelagic Tows Collected During R/V Blazing Seven Cruises Lf2016a And Lf2016b, Northern Gulf Of Mexico From 2016-06-09 To 2016-07-28, Jay R. Rooker, David Wells
Presence/Absence And Density Data For Epipelagic Tows Collected During R/V Blazing Seven Cruises Lf2016a And Lf2016b, Northern Gulf Of Mexico From 2016-06-09 To 2016-07-28, Jay R. Rooker, David Wells
DEEPEND Datasets
This dataset reports presence/absence and density data for epipelagic tows collected in the northern Gulf of Mexico during R/V Blazing Seven cruises LF2016A and LF2016B (2016-06-09 to 2016-07-28). Larval fishes were sampled from 48 stations and cruise data were collected at each site including latitude/longitude, date, time, environmental data (temperature, salinity, dissolved oxygen) and Sargassum dry weight. Larval catch data before and after the oil spill will be compared to improve our understanding of the causes of temporal variability as it relates to the Deep-Water Horizon oil spill (DWHOS). Habitat associations of selected taxa (billfishes, tunas, dolphinfishes, flyingfishes) will be …
Habitat Classification Of The Gulf Of Mexico (Gom) Using The Hybrid Coordinate Ocean Model (Hycom) And Salinity/Temperature Profiles, Cruises Dp01-Dp04, May 2015 To August 2016, Matt Johnston, Rosanna Milligan, Cole Easson, Sergio Derada, Brad Penta, Tracey Sutton
Habitat Classification Of The Gulf Of Mexico (Gom) Using The Hybrid Coordinate Ocean Model (Hycom) And Salinity/Temperature Profiles, Cruises Dp01-Dp04, May 2015 To August 2016, Matt Johnston, Rosanna Milligan, Cole Easson, Sergio Derada, Brad Penta, Tracey Sutton
DEEPEND Datasets
Deep pelagic habitat from the entire Gulf of Mexico (GOM) was classified using the deviation of sea surface height (SSH) from mean SSH for the entire GOM and water temperature at 300 m water depth, founded on ocean condition data from the 1/25° GOM HYbrid Coordinate Ocean Model (HYCOM). Pelagic habitats were segregated into anticyclonic, mixed boundaries, and common water units – all of which likely produce varying levels of forage for deep-sea fauna and may be trophic drivers. Model classifications were compared to classifications based on water column temperature and salinity at depth, as measured by CTD casts during …