Abstract
A wastewater treatment plant controls the level of pollution reaching the environment. Yet, despite being the most common aerobic route for treatment of wastewater, the activated sludge process is not utilized to its full potential. This is mainly due to the lack of knowledge base correlating the microbial community in the activated sludge to its degradative performance. In this study, the activated biomass at the treatment site was monitored for five consecutive months. Even though operational parameters were kept constant, the microbial community was observed to change after 3 months. This shift was seen to correlate with 25 % loss of degradative efficiency. Target oxygenases were monitored at two time points, and results indicated that the dominating pathway operating in the common effluent treatment plant (CETP) is the degradation of chlorinated aromatics. This study demonstrates the change in degradative efficiency in a CETP with the change in microbial community and analyzes the parameters influencing the microbial community of activated sludge.
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Liu, X. C., Zhang, Y., Min, Y., Wang, Z. Y., & Lv, W. Z. (2007). Analysis of bacterial community structures in two sewage treatment plants with different sludge properties and treatment performance by nested PCR-DGGE method. Journal of Environmental Sciences, 19, 60–66.
Kapley, A., De Baere, T., & Purohit, H. J. (2007). Eubacterial diversity of activated biomass from a common effluent treatment plant. Research in Microbiology, 58, 494–500.
Sengupta, B. (2005). http://cpcb.nic.in/upload/Publications/Publication_24_PerformanceStatusOfCETPsIinIndia.pdf. Accessed 1 March 2015.
Lei, G., Ren, H., Ding, L., Wang, F., & Zhang, X. (2010). A full-scale biological treatment system application in the treated wastewater of pharmaceutical industrial park. Bioresource Technology, 101, 5852–5861.
Muthu, C., & Agamuthu, P. (2004). Centralized wastewater treatment. Malaysian Journal of Science, 23, 89–101.
Engin, G. O., & Demir, I. (2006). Cost analysis of alternative methods for wastewater handling in small communities. Journal of Environmental Management, 79, 357–363.
Nesaratnam, S. T., & Ghobrial, F. H. (1985). Biological treatment of mixed industrial and sanitary wastewaters. Conservation and Recycling, 8, 135–142.
Lovley, D. R. (2003). Cleaning up with genomics: applying molecular biology to bioremediation. Nature Reviews Microbiology, 1, 35–44.
Wagner, M., Loy, A., Nogueira, R., Purkhold, U., Lee, N., & Daims, H. (2002). Microbial community composition and function in wastewater treatment plants. Antonie Van Leeuwenhoek, 81, 665–680.
Kapley, A., Prasad, S., & Purohit, H. J. (2007). Changes in microbial diversity in fed-batch reactor operation with wastewater containing nitroaromatic residues. Bioresource Technology, 98, 2479–2484.
Porwal, S., Lal, S., Cheema, S., & Kalia, V. C. (2009). Phylogeny in aid of the present and novel microbial lineages: diversity in Bacillus. PLoS One, 4, e4438.
Khardenavis, A. A., Kapley, A., & Purohit, H. J. (2010). Salicylic-acid-mediated enhanced biological treatment of wastewater. Applied Biochemistry and Biotechnology, 160(3), 704–718.
Kapley, A., & Purohit, H. J. (2009). Diagnosis of treatment efficiency in industrial wastewater treatment plants: a case study at a refinery ETP. Environmental Science and Technology, 43, 3789–3795.
Purohit, H. J., Kapley, A., Moharikar, A., & Narde, G. (2003). A novel approach for extraction of PCR-compatible DNA from activated sludge samples collected from different biological effluent treatment plants. Journal of Microbiological Methods, 52, 315–323.
Muyzer, G., De Waal, E. C., & Uitterlinden, A. G. (1993). Profiling of complex microbial populations by denaturing gradient gel electrophoresis analysis of polymerase chain reaction-amplified genes coding for 16S rRNA. Applied and Environmental Microbiology, 59, 695–700.
Kahl, S., & Hofer, B. (2003). A genetic system for the rapid isolation of aromatic-ring-hydroxylating dioxygenase activities. Microbiology, 149, 1475–1481.
Sagarkar, S., Mukherjee, S., Nousiainen, A., Björklöf, K., Purohit, H. J., Jørgensen, K. S., & Kapley, A. (2013). Monitoring bioremediation of atrazine in soil microcosms using molecular tools. Environmental Pollution, 172, 108–115.
He, Z., Zhao, J., Gao, F., Hu, Y., & Qiu, G. (2010). Monitoring bacterial community shifts in bioleaching of Ni–Cu sulfide. Bioresource Technology, 101, 8287–8293.
Wittebolle, L., Boon, N., Vanparys, B., Heylen, K., De Vos, P., & Verstraete, W. (2005). Failure of the ammonia oxidation process in two pharmaceutical wastewater treatment plants is linked to shifts in the bacterial communities. Journal of Applied Microbiology, 99, 997–1006.
Liu, G., & Wang, J. (2013). Long-term low DO enriches and shifts nitrifier community in activated sludge. Environmental Science and Technology, 47, 5109–5117.
Hu, M., Wang, X., Wen, X., & Xia, Y. (2012). Microbial community structures in different wastewater treatment plants as revealed by 454-pyrosequencing analysis. Bioresource Technology, 117, 72–79.
Phale, P. S., Basu, A., Majhi, P. D., Devecryshetty, J., Vamsee-Krishna, C., & Shrivastava, R. (2007). Metabolic diversity in bacterial degradation of aromatic compounds. OMICS, 11, 252–279.
Figuerola, E. L., & Erijman, L. (2007). Bacterial taxa abundance pattern in an industrial wastewater treatment system determined by the full rRNA cycle approach. Environmental Microbiology, 9, 1780–1789.
Lv, X.M., Shao, M.F., Li, J., Li, C.L. (2015). Metagenomic analysis of the sludge microbial community in a lab-scale denitrifying phosphorus removal reactor. Applied Biochemistry and Biotechnology, 1-13.
Ibarbalz, F. M., Figuerola, E. L., & Erijman, L. (2013). Industrial activated sludge exhibit unique bacterial community composition at high taxonomic ranks. Water Research, 47, 3854–3864.
Pophali, G. R., Kaul, S. N., & Mathur, S. (2003). Influence of hydraulic shock loads and TDS on the performance of large-scale CETPs treating textile effluents in India. Water Research, 37, 353–361.
Burgess, J. E., Quarmby, J., & Stephenson, T. (1999). Role of micronutrients in activated sludge-based biotreatment of industrial effluents. Biotechnology Advances, 17, 49–70.
Leys, N. M., Bastiaens, L., Verstraete, W., & Springael, D. (2005). Influence of the carbon/nitrogen/phosphorus ratio on polycyclic aromatic hydrocarbon degradation by Mycobacterium and Sphingomonas in soil. Applied Microbiology and Biotechnology, 66, 726–736.
Wu, B., Yi, S., & Fane, A. G. (2012). Effect of substrate composition (C/N/P ratio) on microbial community and membrane fouling tendency of biomass in membrane bioreactors. Separation Science and Technology, 47, 440–445.
Villain, M., & Marrot, B. (2013). Influence of sludge retention time at constant food to microorganisms ratio on membrane bioreactor performances under stable and unstable state conditions. Bioresource Technology, 128, 134–144.
Yadav, T. C., Khardenavis, A. A., & Kapley, A. (2014). Shifts in microbial community in response to dissolved oxygen levels in activated sludge. Bioresource Technology, 165, 257–264.
Kapley, A., Tolmare, A., & Purohit, H. J. (2001). Role of oxygen in the utilization of phenol by Pseudomonas CF600 in continuous culture. World Journal of Microbiology and Biotechnology, 17, 801–804.
Huang, Z., Ong, S. L., & Ng, H. Y. (2011). Submerged anaerobic membrane bioreactor for low-strength wastewater treatment: effect of HRT and SRT on treatment performance and membrane fouling. Water Research, 45, 705–713.
Kim, M., Guerra, P., Theocharides, M., Barclay, K., Smyth, S. A., & Alaee, M. (2013). Parameters affecting the occurrence and removal of polybrominated diphenyl ethers in twenty Canadian wastewater treatment plants. Water Research, 47, 2213–2221.
Diez, M. C., Castillo, G., Aguilar, L., Vidal, G., & Mora, M. L. (2002). Operational factors and nutrient effects on activated sludge treatment of Pinus radiata kraft mill wastewater. Bioresource Technology, 83, 131–138.
Tanwar, P., Nandy, T., Ukey, P., & Manekar, P. (2008). Correlating on-line monitoring parameters, pH, DO and ORP with nutrient removal in an intermittent cyclic process bioreactor system. Bioresource Technology, 99, 7630–7765.
Acknowledgments
The authors are grateful to the CSIR-NEERI network project, MESER-ESC0108, for supporting this work. The authors thank the CETP management for providing data and activated sludge samples. Part of this work was carried out at the State Key Lab of Environmental Aquatic Chemistry, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
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Supplementary Fig. 1
DGGE and cluster analysis of the 16S rRNA gene in activated sludge samples. Panel A depicts an unweighted Pair Group Method with Arithmetic mean (UPGMA) tree represented in panel B, demonstrating the bacterial diversity and the relationship among the sludge samples based on the denaturing gradient gel electrophoresis pattern. (DOCX 129 kb)
Supplementary Table 1
Taxonomy of bacteria isolated from the activated biomass based on partial 16S rDNA sequence data. (DOCX 18 kb)
Supplementary Table 2
GenBank accession numbers of sequences generated during taxonomic study. (DOCX 28 kb)
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Kapley, A., Liu, R., Jadeja, N.B. et al. Shifts in Microbial Community and Its Correlation with Degradative Efficiency in a Wastewater Treatment Plant. Appl Biochem Biotechnol 176, 2131–2143 (2015). https://doi.org/10.1007/s12010-015-1703-2
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DOI: https://doi.org/10.1007/s12010-015-1703-2