No description available.

No description available.

Enzymes react quickly to environmental stress and can serve as sensitive indicators of environmental change. Microbial enzyme activities (MEA’s) can be a useful tool to evaluate the health of an aquatic ecosystem. In this study we compared the trends of MEA’s (µg/g) to total and fecal coliform concentrations (CFU/g) in sediments from a stream in Northeast Tennessee that had an approved fecal coliform Total Maximum Daily Load (TMDL). The comparisons were based on season and land use through which the stream flowed. Triplicate grab samples of stream sediments were collected monthly for 29 months at 14 sites located in agricultural, urban, and forest regions. Dehydrogenase, acid phosphatase, alkaline phosphatase, galactosidase and glucosidase activities were determined using specific colorimetric analyses. Total coliforms and fecal coliforms were determined using the membrane filtration method. There was significant positive correlation (p<0.05 Pearson) between the total coliform concentrations and all five enzyme activities in the winter (January, February and March). A positive correlation was also seen with alkaline phosphatase in the summer. Fecal coliform concentration was positively correlated with dehydrogenase activity in the winter and spring (April, May and June), and with galactosidase activity in the winter, spring and summer (July, August and September). Fecal coliforms were also positively correlated with acid phosphatase in the summer. Only those sediments located in the urban region showed a positive correlation between total coliforms and dehydrogenase, acid phosphatase, alkaline phosphatase and glucosidase. DHA also showed a positive correlation between total coliforms and the forest region. The only correlation between fecal coliforms and region was with acid phosphatase in the urban region. A strong inverse relationship existed with the ratio of each specific MEA over the fecal coliform concentration versus both the seasons and regions. These correlations show that elevated activities of these five microbial enzymes can serve as another indicator of stream impairment.

A total maximum daily load (TMDL), which is the calculated total amount of pollutant that a waterbody can receive from point and non-point sources, is established for streams that do not meet their designated use criteria. Physical, chemical, and biological water quality parameters are used to attempt to identify pollution sources. Microbial enzyme activity (mg/mL) is used to monitor the changes in the microbial community by identifying changes in their metabolism. The health of a stream can be monitored by the presence and absence of microorganisms due to the response of the microbial community to prolonged pollution exposure. To fully understand the metabolic activity, MEA data are compared to other factors including biochemical oxygen demand (BOD), nitrogen, phosphate, total coliform and Escherichia coli concentrations. Dissolved oxygen refers to the amount of oxygen used by microorganisms to degrade organic carbon, which reduces the survivability of aerobic organisms. Nitrogen and phosphate compounds from anthropogenic sources are readily dissolved into water and are limiting nutrients for microorganisms. Total coliforms and E. coli determine the fecal contamination in the waterbody. All of these factors are used to determine point and nonpoint pollution sources. From February 2014 to January 2016, water and sediment samples were collected monthly from 16 sites along Sinking Creek in Northeast Tennessee. During the two-year study, physical and field parameters were measured. Water samples were analyzed for chemical parameters including alkalinity, hardness, and BOD. Using an ion chromatograph, the concentration of phosphates and nitrates in the samples was measured. For biological parameters, the water sample was used to obtain total coliform and E. coli data using the Colilert enzyme substrate test. MEA data were collected from triplicate sediment samples collected at each site. These sediment samples were tested for acid and alkaline phosphatase, glucosidase, galactosidase, and dehydrogenase enzymes. The substrate for these enzymes was added to the respective sample, incubated for approximately 24 hours, and analyzed by colorimetric spectrophotometry to obtain absorbance. The enzyme concentration was calculated by comparing the absorbance to a generated standard curve. The results for the measured parameters were compared to identify correlation between the MEA concentrations and other biological and chemical parameters. The microbial activity should show a holistic view of changes in the waterbody, which should correlate with the other factors. A direct relationship between E. coli, total coliforms, nitrate, phosphate concentrations, and MEAs was expected. A correlation should be seen between MEAs and BOD data, due to an increase in oxygen demand during microbial metabolism. By examining multiple parameters together, the results would provide the necessary information to determine remediation efforts for the waterbody.

Microbial metabolism reacts quickly to environmental conditions. These reactions are dependent on the need for nutrients and respiration and can be measured using an assay of individual microbial enzyme activities (MEA’s). In this study, we measured MEA’s in the sediments of a stream in northeast Tennessee that had an approved fecal coliform Total Maximum Daily Load (TMDL). These values were compared to biochemical oxygen demand (BOD), phosphate concentration and nitrate concentration in the water column of this stream. Comparisons were grouped by season and land use. Stream sediments and water were collected monthly for one year and then quarterly for an additional two years at 14 sites located in agricultural, urban and forest regions. Dehydrogenase (DHA), a measure of microbial respiration, along with acid phosphatase (AcidPA), alkaline phosphatase (AlkPA), galactosidase (GalA) and glucosidase (GluA) activities were measured using colorimetric assays. BOD was determined using the standard 5-day BOD test (BOD5). Nitrate and phosphate concentrations were measured using colorimetric procedures. There were significant positive and negative correlations (p5, DHA vs. nitrate concentration, and DHA vs. phosphate concentration. Also in the fall months there were significant negative correlations between GalA and GluA vs. BOD5, and concentrations of nitrate and phosphate. There was also a negative correlation between AcidPA and BOD5. In the warmer months of spring and summer, there were positive correlations between AcidPA, AlkPA, GalA and GluA vs. the BOD5 ’s, and the concentrations of nitrate and phosphate. The only negative correlation in a warmer season was in the summer between AlkPA vs. BOD5 and phosphate concentration. No significant correlations were found by land use type. Results indicate that significant relationships may exist between MEA’s and other water quality measures (e.g. BOD5, nitrate concentration, and phosphate concentration) that could make it possible to use MEA’s as another tool for water quality assessment.

Microbial enzyme activities (MEA’s) are measurements of microbial metabolism. These activities are dependent on the need for nutrients and respiration. This extended study evaluated four streams in the same watershed that had an approved fecal coliform Total Maximum Daily Load. Sediment and water samples were collected monthly for the first year of each specific stream study, and then quarterly to the end of 2006. Dehydrogenase, a measure of microbial respiration, along with acid phosphatase, alkaline phosphatase, galactosidase and glucosidase activities were measured using colorimetric assays. Biochemical oxygen demand (BOD) was determined using the standard 5-day test (BOD5). Nitrate and phosphate concentrations were measured using colorimetric procedures. Sediment MEA values were compared to the BOD, nitrate concentration and phosphate concentration in the overlying water. Seasonal means of each parameter were not significantly different (p5, nitrate concentration, and phosphate concentration). This suggests to us that MEA’s may be an alternative tool for water quality assessments.

No description available.

京都大学 / 新制・課程博士 / 博士(農学) / 甲第25333号 / 農博第2599号 / 新制||農||1106(附属図書館) / 京都大学大学院農学研究科応用生命科学専攻 / (主査)教授 小川 順, 教授 矢﨑 一史, 教授 栗原 達夫 / 学位規則第4条第1項該当 / Doctor of Agricultural Science / Kyoto University / DFAM

The expansion of Interstate 26 from Erwin, TN to the North Carolina border was a project that potentially adversely impacted South Indian Creek because of the steep landscapes and potential for erosion. Several studies have shown the short-term, negative effects of road construction on the water quality of nearby water bodies. Non-point source pollution is the major source of water pollution in the United States. The primary objective of this research is to evaluate the long-term effects of the construction of Interstate 26 on South Indian Creek to see if there has been any ecological recovery. The Environmental Health Sciences Laboratory of East Tennessee State University was contracted by the Tennessee Department of Transportation to collect data from before construction (1991-1992), during construction (1993-1994), and postconstruction (1995-1996). Comparison of microbial enzyme activities and other parameters to present-day (2012-2013) water quality conditions indicate that South Indian Creek has not fully recovered from the effects of the construction of the interstate.