TEMPERATURE AND NUTRIENT EFFECTS ON PERIPHYTON ASSOCIATED BACTERIAL COMMUNITIES IN CONTINUOUS FLOW-THROUGH ESTUARINE MESOCOSMS

Katelyn Houghton1, Joseph B James1, Richard Devereux2 and Stephanie D Friedman1, (1)Environmental Protection Agency, Gulf Ecology Division, Gulf Breeze, FL, United States, (2)US Environmental Protection Agency Research Triangle Park, Durham, NC, United States
Abstract:
Nutrient pollution is a leading cause of water quality impairments and degraded aquatic ecosystem condition. Reliable and reproducible indicators of ecosystem condition are needed to help manage nutrient pollution. The diatom component of periphyton has been used as a water quality indicator due to identifiable cell morphology and existence of relationships between nutrient concentration and diatom community composition. However, morphological identification of diatoms requires highly specialized personnel, is very time consuming, and can produce variable results, suggesting the need for alternative methods that are less expensive and more reproducible. DNA sequencing of the bacterial 16S rRNA gene is well documented and provides genus-level resolution of the community structure. The goal of this study was to evaluate the effects of nutrient loading and temperature on periphyton-associated bacterial communities using standard periphytometer techniques and next generation sequencing technologies. Continuous flow mesocosms were established in an eight tank system consisting of two temperature conditions (10°C and 20°C) and four nutrient conditions (1x to 6x ambient concentrations). Experimental conditions were replicated in July/August 2013 and September 2013. Replicate DNA samples were extracted and the 16S rRNA gene was sequenced using universal Bacterial primers. Initial analyses revealed strong differences in community structure based on temperature (p < 0.01, R = 0.997) and sampling month (p < 0.01, R = 0.993) while no significant differences were detected between nutrient treatments. These results suggest that the method can detect changes in periphyton associated bacterial communities based on temperature but a more refined approach, as might be based on functional genes instead of structural genes, may be needed to differentiate nutrient effects.