Defense Date
8-10-2018
Document Type
Capstone
Degree Name
M.S. Coastal Zone Management
First Advisor
Donald McCorquodale
Second Advisor
George Duncan
Abstract
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 of bacteria, viruses, fungi, pathogens, virulence factors, and antibiotic resistance genes) is whole genome shotgun sequencing paired with k-mer based microbial identification. This technique allows researchers and managers not only to identify all microorganisms present in a given sample, but to identify sources of these microorganisms and infection potential to humans as well. This has huge implications for the future of water quality management and provides invaluable information that recreational water managers can use to determine risk to human health. As modern methods drop in price, they are becoming more accessible to user groups. This capstone is designed to help users determine the best method for their individual needs.
NSUWorks Citation
Catherine Iskrenko. 2018. Next Generation Sequencing Methods for Coastal Zone Water Quality Monitoring. Capstone. Nova Southeastern University. Retrieved from NSUWorks, . (337)
https://nsuworks.nova.edu/cnso_stucap/337.
Included in
Environmental Microbiology and Microbial Ecology Commons, Environmental Monitoring Commons, Marine Biology Commons, Oceanography Commons, Water Resource Management Commons