Skip to main content
Log in

Shifts in Microbial Community and Its Correlation with Degradative Efficiency in a Wastewater Treatment Plant

  • Published:
Applied Biochemistry and Biotechnology Aims and scope Submit manuscript

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.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. 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.

    Article  CAS  Google Scholar 

  2. 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.

    Article  Google Scholar 

  3. Sengupta, B. (2005). http://cpcb.nic.in/upload/Publications/Publication_24_PerformanceStatusOfCETPsIinIndia.pdf. Accessed 1 March 2015.

  4. 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.

    Article  CAS  Google Scholar 

  5. Muthu, C., & Agamuthu, P. (2004). Centralized wastewater treatment. Malaysian Journal of Science, 23, 89–101.

    CAS  Google Scholar 

  6. Engin, G. O., & Demir, I. (2006). Cost analysis of alternative methods for wastewater handling in small communities. Journal of Environmental Management, 79, 357–363.

    Article  Google Scholar 

  7. Nesaratnam, S. T., & Ghobrial, F. H. (1985). Biological treatment of mixed industrial and sanitary wastewaters. Conservation and Recycling, 8, 135–142.

    Article  CAS  Google Scholar 

  8. Lovley, D. R. (2003). Cleaning up with genomics: applying molecular biology to bioremediation. Nature Reviews Microbiology, 1, 35–44.

    Article  CAS  Google Scholar 

  9. 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.

    Article  CAS  Google Scholar 

  10. 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.

    Article  CAS  Google Scholar 

  11. 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.

    Article  Google Scholar 

  12. 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.

    Article  CAS  Google Scholar 

  13. 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.

    Article  CAS  Google Scholar 

  14. 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.

    Article  CAS  Google Scholar 

  15. 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.

    CAS  Google Scholar 

  16. Kahl, S., & Hofer, B. (2003). A genetic system for the rapid isolation of aromatic-ring-hydroxylating dioxygenase activities. Microbiology, 149, 1475–1481.

    Article  CAS  Google Scholar 

  17. 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.

    Article  CAS  Google Scholar 

  18. 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.

    Article  CAS  Google Scholar 

  19. 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.

    Article  CAS  Google Scholar 

  20. Liu, G., & Wang, J. (2013). Long-term low DO enriches and shifts nitrifier community in activated sludge. Environmental Science and Technology, 47, 5109–5117.

    Article  CAS  Google Scholar 

  21. 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.

    Article  CAS  Google Scholar 

  22. 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.

    Article  CAS  Google Scholar 

  23. 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.

    Article  CAS  Google Scholar 

  24. 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.

  25. 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.

    Article  CAS  Google Scholar 

  26. 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.

    Article  CAS  Google Scholar 

  27. Burgess, J. E., Quarmby, J., & Stephenson, T. (1999). Role of micronutrients in activated sludge-based biotreatment of industrial effluents. Biotechnology Advances, 17, 49–70.

    Article  CAS  Google Scholar 

  28. 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.

    Article  CAS  Google Scholar 

  29. 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.

    Article  CAS  Google Scholar 

  30. 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.

    Article  CAS  Google Scholar 

  31. 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.

    Article  CAS  Google Scholar 

  32. 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.

    Article  CAS  Google Scholar 

  33. 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.

    Article  CAS  Google Scholar 

  34. 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.

    Article  CAS  Google Scholar 

  35. 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.

    Article  CAS  Google Scholar 

  36. 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.

    Article  CAS  Google Scholar 

Download references

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.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Atya Kapley.

Electronic Supplementary Material

Below is the link to the electronic supplementary material.

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)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

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

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12010-015-1703-2

Keywords

Navigation