Abstract
Although Multiple Antibiotic Resistance Analysis (MARA) has been adopted for the source tracking of bacterial contamination in natural waters, the accuracy and experimental cost of MARA still have the potential to be improved. Therefore, a process of modified MARA using turbidity was developed, and its feasibility and reliability were evaluated for Fecal Streptococci (FS) in this study. The experimental results are as follows. The development of turbidity via the aesculin hydrolysis by FS could occur in 2–3 hours, and the turbidity of the stock solutions and the number of FS had a proportionate relationship (R2 = 0.991). Thus, the modified MARA could exclude several incubation steps as well as reduce experimental errors by inoculating the same amount of the bacteria into the culture media mixed with antibiotics. The Average Rates of Correct Classification (ARCCs) of the established database based on the modified MARA technique for two-way division and three-way division showed much higher ARCCs (89%) than those of previous studies (61~84%), implying that the modified MARA technique had relatively higher reproducibility than conventional MARA. Also, reliability of the modified MARA was verified by source tracking of stream samples that could be predicted and the real source tracking was carried out by applying the modified MARA in the stream (upstream, midstream, and downstream), which showed reasonable prediction results. The results conclusively demonstrated the modified MARA to be more efficient tool/phenotypic method than conventional MARA for source tracking of fecal contamination in water.
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References
APHA (2005). Standard methods for the examination of water and wastewater, 21st Ed.; American Public Health Association: Washington DC, USA.
Booth, A. M., Hagedorn, C., Graves, A. K., Hagedorn, S. C., and Mentz, K. H. (2003). “Sources of Fecal Pollution in Virginia’s Blackwater River.” ASCE, J. of Environ. Eng., Vol. 129, No. 6, pp. 547–552, DOI: 10.1061/(ASCE)0733-9372(2003)129:6(547).
Carroll, S. P., Dawes, L., Hargreaves, M., and Goonetilleke, A. (2009). “Fecal pollution source identification in an urbanising catchment using antibiotic resistance profiling, discriminant analysis and partial least squares regression.” Water Research, Vol. 43, No. 5, pp. 1237–1246.
Ebdon, J. E. and Taylor, H. D. (2006). “Geographical Stability of Enterococcal Antibiotic Resistance Profiles in Europe and Its Implications for the Identification of Fecal Sources.” Environmental Science and Technology, Vol. 40, No. 17, pp. 5327–5322.
Gallagher, L. K. (2008). Bacterial source tracking in the sinking creek watershed using antibiotic resistance analysis and ribotyping, A thesis of the Department of Environmental Health, East Tennessee State University.
Gordon, D. M. (2001). “Geographical structure and host specificity in bacteria and the implications for tracing the source of coliform contamination.” Microbiology, Vol. 147, No. 5, pp. 1079–1085.
Hagedorn, C., Robinson, S. L., Filtz, J. R., Grubbs, S. M., Angier, T. A., and Reneau, R. B. (1999). “Determining sources of fecal pollution in a rural Virginia watershed with antibiotic resistance patterns in fecal streptococci.” Applied and Environmental Microbiology, Vol. 65, No. 12, pp. 5522–5531.
Harwood, V. J., Whitlock, J., and Withington, V. (2000). “Classification of the antibiotic resistance patterns of indicator bacteria by discriminant analysis: Use in predicting the source of fecal contamination in subtropical waters.” Applied and Environmental Microbiology, Vol. 66, No. 9, pp. 3698–3704, DOI: 10.1128/AEM.66.9.3698-3704.2000.
Lee, S. (2011). “Modification of multiple antibiotic resistance analysis technique for nonpoint fecal bacteria sources tracking.” A Thesis of the Department of Civil and Environmental Engineering, Hanyang University, Korea.
Lee, S., Lee, J., and Kim, M. (2012). “The influence of storm-water sewer overflows on stream water quality and source tracking of Fecal contamination.” Journal of Civil Engineering, Vol. 16, No. 1, pp. 39–44, DOI: 10.1007/s12205-012-1198-0.
MacFaddin, J. F. (2000). Biochemical tests for identification of medical bacteria, 3rd Ed. Lippincott William & Wilkins, Baltimore, Md.
Maryland Department of the Environment (2009). Total maximum daily loads of fecal bacteria for the cherry creek sub-basin in the youghiogheny river basin in garrett county, USA, Maryland.
Meays, C. L., Broersma, K., Nordin, R., and Mazumder, A. (2004). “Source tracking fecal bacteria in water: A critical review of current methods.” Journal of Environmental Management, Vol. 73, No. 1, pp. 71–79.
Nagels, J. W., Daviescolloy, R. J., Donnidon, A. M., and Muirhead, R. W. (2002). “Fecal contamination over flood events in a pastoral agricultural stream in New Zealand.” Water Science and Technology, Vol. 45, No. 12, pp. 45–52.
Price, B., Venso, E. A., Frana, M. F., Greenberg, J., Ware, A., and Currey, L. (2006). “Classification tree method for bacterial source tracking with antibiotic resistance analysis data.” Applied and Environmental Microbiology, Vol. 72, No. 5, pp. 3468–3475, DOI: 10.1128/AEM.72.5.3468-3475.2006.
Scott, T. M., Rose, J. B., Jenkins, T. M., Farrah, S. R., and Lukasik, J. (2002). “Microbial source tracking: Current methodology and future directions.” Appl. Environ. Microbiol., Vol. 68, No. 12, pp. 5796–5803, DOI: 10.1128/AEM.68.12.5796-5803.2002.
Sinton, L. W., Donnison, A. M., and Hastie, C. M. (1993). “Fecal streptococci as fecal pollution indicators: A review, Sanitary significance, survival, and use.” New Zealand Journal of Marine and Freshwater Research, Vol. 27, No.1, pp. 117–137, DOI: 10.1080/00288330.1993.9516550.
Webster, L. F., Thomson, B. C., Fulton, M. H., Chestnut, D. E., Van Dilah, R. F., Leight, A. L., and Scott, G. I. (2004). “Identification of sources of Escherichia coli in South Carolina estuaries using antibiotic resistance analysis.” Journal of Experimental Marine Biology and Ecology, Vol. 298, No. 2, pp. 179–195, DOI: 10.1016/S0022-0981(03)00358-7.
Whitlock, J. E., Jones, D. T., and Harwood, V. J. (2002). “Identification of the sources of fecal coliforms in an urban watershed using antibiotic resistance analysis.” Water Research, Vol. 36, No. 17, pp. 4273–4282, DOI: 10.1016/S0043-1354(02)00139-2.
Wiggins, B. A. (1996). “Discriminant analysis of antibiotic resistance patterns in fecal streptococci, a method to differentiate human and animal sources of fecal pollution in natural Waters.” Applied and Environmental Microbiology, Vol. 62, No. 11, pp. 3997–4002.
Wiggins, B. A., Andrews, R. W., Conway, R. A., Corr, C. L., Dobratz, E. J., Dougherty, D. P., Eppard, J. R., Knupp, S. R., Limjoco, M. C., Mettenburg, J. M., Rinehardt, J. M., Sonsino, J., Torrijos, R. L., and Zimmerman, M. E. (1999). “Use of antibiotic resistance analysis to identify nonpoint sources of fecal pollution.” Applied and Environmental Microbiology, Vol. 65, No. 8, pp. 3483–3486.
Wiggins, B. A., Cash, P. W., Creamer, W. S., Dart, S. E., Garcia, P. P., Gerecke, T. M., Han, J., Henry, B. L., Hoover, K. B., Johnson, E. L., Jones, K. C., McCarthy, J. G., McDonough, J, A., Mercer, S. A., Noto, M. J., Haewon P., Phillips, M. S., Purner, S. M., Smith, B. M., Stevens, E. N., and Varner, A. K. (2003). “Use of antibiotic resistance analysis for representativeness testing of multiwatershed libraries.” Applied and Environmental Microbiology, Vol. 69, No. 6, pp. 3399–3405, DOI: 10.1128/AEM.69.6.3399-3405.2003.
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Park, S., Lee, S. & Kim, M. Modified multiple antibiotic resistance analysis for the nonpoint source tracking of fecal pollution. KSCE J Civ Eng 19, 2017–2023 (2015). https://doi.org/10.1007/s12205-015-0507-9
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DOI: https://doi.org/10.1007/s12205-015-0507-9