PRESENCE OF SEASONAL COLIFORMS IN A THERMAL EFFLUENT ON THE SUSQUEHANNA RIVER: Heather Griffiths Department of Biological Sciences, York College of Pennsylvania INTRODUCTION: • • • • • DISCUSSION: RESULTS: Coliforms are found naturally in aquatic environments due to the feces of animals and runoff into watersheds. Coliforms are Gram-negative rod-shaped bacteria normally found in the digestive tract of animals (Bauman 2011). In flooding events, increased stormwater runoff may contain sewage and other contaminants. Pollution has been a concern in this particular watershed since the Clean Water Act was passed in 1972 (Onda 2012). Harrisburg has recently faced EPA violations due to an overwhelmed combined sewer system. Flooding and/or sudden downpours cause an overflow of wastewater into the Susquehanna River. Capital Region Water cited 82 of these overflow events in 2013 (Vendel 2014). The PPL Brunner Island coal-fired power plant provides coal-fired electricity by steam conversion. River water is used to cool the steam and recycled back into the river, creating a thermal effluent. The effluent creates an environment warm enough to sustain fish populations yearround (PPL 2007). Increased water temperatures from a thermal effluent have the potential to impact wildlife. Increased temperature creates a stress on aquatic organisms by exacerbating toxicity of chemicals such as ammonia, pesticides, and heavy metals. High temperature also decreases oxygen solubility and inhibits biological processes such as respiration (Madden 2013). Temperature. Monthly ambient temperature followed a seasonal pattern during spring, summer, and fall months. Ambient temperature in the winter was unseasonably warm-December 2013 proved to be a significant outlier, at 15 °C. Monthly water temperature of the thermal effluent site was consistently higher than other sites. The most obvious differences in water temperature occurred in the fall and winter months, when the upstream site froze, the water at the thermal effluent remained at 28 °C. The thermal effluent site reached its highest temperature in August at 32 °C (Figure 2). Coliforms. Mean coliform counts upstream were significantly different from both thermal effluent and downstream sites in the months of June, July, and August. In September 2013, mean coliform counts at all sites were statistically significant from each other. In April 2014, mean monthly coliform counts upstream versus effluent were statistically significant, but the downstream site did not differ significantly from the other two. In May 2014. Monthly coliform counts upstream decreased to 440/mL while downstream increased to 990/mL. The mean coliform count at the thermal effluent site was the lowest, at 237/mL, and significantly different from the downstream site. Downstream versus effluent were only statistically different from each other in May. Mean coliform counts from all three sites were significantly different from each other only in September (Figure 3). Statistics. Amount of daily precipitation was compared to mean monthly coliform count using a frequency distribution but was not significant (p=0.45). Monthly mean coliform counts across each site were analyzed using a two-way ANOVA with a Tukey’s post-hoc multiple comparison test. Analysis of variance showed that month accounted for 32.4% of the total variation (F=34.08, df =12, p < 0.001). Location accounted for 13.22% of the total variation (F = 49.47, df = 2, p = 0.0015). The interaction between month and location accounts for 46.92% of the total variation (F= 19.06, df =24, p < 0.0001). Google maps Upstream Thermal Effluent TGGE. Similar diversity of bacteria were found in water samples from each site, as evidenced by similar banding separated by charge and degradation temperature (Figure 4.) PPL Downstream Google maps Figure 1. Water sample collection locations in York Haven, PA: 20 miles SE of Harrisburg, PA OBJECTIVES: • • • Compare monthly water temperature at sites upstream, downstream and at the thermal effluent. Investigate the relationship between growth of coliforms in the thermal effluent site, compared to sites upstream and downstream. Determine if the relationship between site location and month provides consistent • Upstream water temperature gradually decreased from summer to winter while sites downstream varied monthly, indicating the power plant’s steam conversion and cycling cooling tower dictate the temperature of the effluent. • Climate change could be playing a part in changes in ambient temperature and could effect the river temperature. • In summer months, coliform counts were higher upstream. • Coliform counts at the thermal effluent and downstream sites were typically lower, related to higher temperatures. • The differences between months in each site were statistically significant. • The differences in temperature did not appear to affect bacterial diversity • There appear to be outside factors influencing coliform counts in the thermal effluent. FURTHER STUDIES: • Investigate sources of runoff related to test sites. • Explore the relationship between climate change and the thermal effluent. • Perform next-generation sequencing of bacterial samples on-site. LITERATURE CITED: Bauman, R. Microbiology with Diseases by Taxonomy. 2007. 4th ed. Pearson. Boston. Climate Data. National Climatic Data Center. National Oceanic and Atmospheric Administration. Heuer, H., Krsek, M., Baker, P., Smalla, K., and Wellington, E. 1997. Analysis of Actinomycete communities by specific amplification of genes encoding 16S rRNA and Gel-Electrophoretic separation in denaturing gradients. Applied and Environmental Microbiology. 63(8): 3233-3235. Madden, N., Lewis, A., Davis, M. 2013. Thermal effluent from the power sector: an analysis of once-through cooling system impacts on surface water temperature. Environmental Research Letters. 8(2013): 1-7. Onda, K., LoBuglio, J, Bartram, J. 2012. Global access to safe water: accounting for water quality and the resulting impact on MDG progress. International Journal of Environmental Research and Public Health. 9(3): 880-894. PPL Brunner Island Power Plant. 2007. Available from http://www.pplweb.com/ppl-generation/ppl-brunnerisland.aspx. Accessed 2013 May 6. Vendel, Christine. Capital Region Water faces millions in upgrades under consent decree to address clean water violations. 25 November 2014. PennLive.com. Available from http://www.pennlive.com/midstate/index.ssf/2014/11/capital_region_consent_decree.html. Accessed 2015 January 8. Month Location Table 1. Universal PCR primers against prokaryotic 16S rDNA (Heuer et. al 1997). Primer F984GC R1378 16S rDNA target Bacteria (968-984) Bacteria (1378-1401) ACKNOWLEDGEMENTS: Sequence (5’ to 3’) [ [ [ [ [ [ gc.-AACGCGAAGAACCTTAC CGGTGTGTACAAGGCCCGGGAACG Figure 4. Presence of bacterial diversity as evidenced by various banding (indicated with brackets) on 8% polyacrylamide gel from locations upstream (1), thermal effluent (2) and downstream (3). I would like to thank Dr. David Singleton, Dr. Bridgette Hagerty, and Joan Carpenter for their guidance and support. I would also like to thank and applaud the wonderful people who served time as my fieldwork buddies: Michael Griffiths, Dale Hatrock, and Abbie Werner., and Rob Harvey because he is awesome. METHODS: Quantification of bacteria: • Measure temperature and pH at each site. • Collect 500-mL water sample from each site. • Triplicate plate 100 μL of water sample from each site on three types of media: NA: Nutrient Agar provides nutrients for a wide variety of bacteria. EMB: Eosin Methylene Blue selects for Enterobacteriaceae and E. coli colonies have a metallic green appearance. Molecular Analysis: MAC: MacConkey’s Agar selects for Gram-negative and lactosefermenting coliforms using a pH sensitive indicator as well as bile salts and crystal violet to inhibit Gram-positive growth. • • • • Isolated colonies from nutrient agar in order to identify presence of bacteria. DNA released by three cycles of freeze/boil (-80°C, 99°C). PCR using 16S primers (Table 1) and NEB Q5 Master Mix, at standard cycles. Presence of 450bp PCR fragments were identified using 1.5% agarose gel electrophoresis. • Presence of bacterial diversity was confirmed using an 8% polyacrylamide gel (Figure 4).
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