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Updated: Feb 10, 2026

DNA Sequence Recognition by DNA Primase Using High-Throughput Primase Profiling
Published on: October 8, 2019
Fine grained compositional analysis of Port Everglades Inlet microbiome using high throughput DNA sequencing
Lauren O'Connell1, Song Gao2, Donald McCorquodale3
1Department of Biological Sciences, Halmos College of Natural Sciences and Oceanography, Nova Southeastern University, Dania Beach, FL, United States of America.
Seasonal changes significantly impact bacterioplankton communities in Port Everglades Inlet, with distinct microbial fluctuations observed throughout the year. These findings establish a crucial baseline for understanding inlet microbiomes and their environmental influence.
Area of Science:
- Marine microbiology
- Environmental science
- Ecosystem dynamics
Background:
- Manmade inlets like Port Everglades Inlet (PEI) connect inland waters to the ocean, potentially impacting coastal environments.
- Understanding bacterioplankton (microbiome) composition in major ports is vital due to pollution risks to beaches and coral reefs.
- Previous studies lacked the high sampling frequency and scale needed to capture dynamic microbial fluctuations in such environments.
Purpose of the Study:
- To investigate seasonal microbial fluctuations within Port Everglades Inlet.
- To profile bacterioplankton communities using high-throughput 16S rRNA amplicon sequencing.
- To establish a baseline for inlet microbial communities and assess potential environmental impacts.
Main Methods:
- Weekly surface water sampling over one year, with four samples per month from two locations.
- High-throughput 16S rRNA amplicon sequencing for microbiome profiling.
- Statistical analyses including ANCOM for differential abundance and beta diversity analysis correlating with environmental factors.
Main Results:
- Significant differences in alpha diversity were observed between months and seasons, notably low richness and high evenness in August.
- Beta diversity analysis revealed significant variations in community composition influenced by month, season, water temperature, and salinity.
- Potentially pathogenic genera like *Staphylococcus* and *Streptococcus* were detected but not in significantly high abundances.
Conclusions:
- Bacterioplankton communities in PEI exhibit significant seasonal and monthly variations, linked to environmental factors like temperature and salinity.
- Specific conditions in August and the 2013-2014 dry season (warmer, wetter) influenced microbial community structure.
- The low, non-significant abundance of potential pathogens suggests a low public health risk, while the study provides a vital baseline for environmental monitoring.
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