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Changes in the composition of bacterial communities and pathogen levels during wastewater treatment

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Abstract

Wastewater treatment plants have been described as a potential source of spreading pathogens to the receiving water. However, few studies are reporting the presence and concentration changes of pathogens in these matrices. High-throughput sequencing provides new insights into understanding the changes of bacterial communities throughout wastewater treatment plants (WWTPs). In this study, the changes in microbial community composition and the levels of representative pathogens of effluents during the wastewater treatment process in two municipal WWTPs (A and B) were analyzed using Illumina NovaSeq sequencing and qPCR. Proteobacteria was the most abundant phylum in all samples, accounting for 45.0–75.2% of the bacterial community, followed by Firmicutes, Bacteroidetes, Actinobacteria, and Nitrospirae. A slight difference was observed between the bacterial community compositions of WWTPs A and B. However, a significant difference in the community compositions of effluent samples at different treatment stages was observed. Nutrients had a more substantial impact on bacterial community composition than physicochemical factors. Most human-associated Bacteroides and Mycobacterium were eliminated during the wastewater treatment process in both WWTPs. The bacterial community richness in WWTP A was significantly higher than that in WWTP B. The results of this study will provide insights into the potential problems that exist in WWTPs. In turn, these insights can enable the efficient and stable operation of WWTPs and help prevent the spread of pathogens.

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Data availability

The raw sequence data was submitted to the NCBI SAR database (Accession: PRJNA796627). Other data are available from the corresponding author on reasonable request.

References

  • APHA (2005) Standard methods for the examination of water and wastewater, 21st edn. American Public Health Association. Washington, DC, USA

    Google Scholar 

  • Bengtsson-Palme J, Milakovic M, Švecová H, Ganjto M, Jonsson V, Grabic R, Udikovic-Kolic N (2019) Industrial wastewater treatment plant enriches antibiotic resistance genes and alters the structure of microbial communities. Water Res 162:437–445

    Article  CAS  Google Scholar 

  • Brosch R, Gordon SV, Marmiesse M, Brodin P, Buchrieser C, Eiglmeier K, Garnier T, Gutierrez C, Hewinson G, Kremer K, Parsons LM, Pym AS, Samper S, van Soolingen D, Cole ST (2002) A new evolutionary scenario for the Mycobacterium tuberculosis complex. Proc Natl Acad Sci USA 99(6):3684–3689

    Article  CAS  Google Scholar 

  • Caporaso JG, Kuczynski J, Stombaugh J, Bittinger K, Bushman FD, Costello EK, Fierer N, Peña AG, Goodrich JK, Gordon JI (2010) QIIME allows analysis of high-throughput community sequencing data. Nat Methods 7(5):335–336

    Article  CAS  Google Scholar 

  • Chen Y, Zhao Z, Peng Y, Li J, Xiao L, Yang L (2016) Performance of a full-scale modified anaerobic/anoxic/oxic process: high-throughput sequence analysis of its microbial structures and their community functions. Biores Technol 220:225–232

    Article  CAS  Google Scholar 

  • Choi MS, Hwang Y, Lee TJ (2021) Nitrogen removal using a membrane bioreactor with rubber particles as the fouling reducer. Appl Sci Basel 11(8):3578

  • Deepnarain N, Nasr M, Amoah ID, Enitan-Folami AM, Reddy P, Stenstrom TA, Kumari S, Bux F (2020) Impact of sludge bulking on receiving environment using quantitative microbial risk assessment (QMRA)-based management for full-scale wastewater treatment plants. J Environ Manag 267:110660

  • Do TT, Delaney S, Walsh F (2019) 16S rRNA gene based bacterial community structure of wastewater treatment plant effluents. FEMS Microbiol Lett 366(3):fnz017

    Article  CAS  Google Scholar 

  • Edgar RC, Haas BJ, Clemente JC, Quince C, Knight R (2011) UCHIME improves sensitivity and speed of chimera detection. Bioinformatics 27(16):2194–2200

    Article  CAS  Google Scholar 

  • Eichmiller JJ, Hicks RE, Sadowsky MJ (2013) Distribution of genetic markers of fecal pollution on a freshwater sandy shoreline in proximity to wastewater effluent. Environ Sci Technol 47(7):3395–3402

    Article  CAS  Google Scholar 

  • Fan X-Y, Gao J-F, Pan K-L, Li D-C, Dai H-H (2017) Temporal dynamics of bacterial communities and predicted nitrogen metabolism genes in a full-scale wastewater treatment plant. RSC Adv 7(89):56317–56327

    Article  CAS  Google Scholar 

  • Gilbert EM, Agrawal S, Brunner F, Schwartz T, Horn H, Lackner S (2014) Response of different Nitrospira species to anoxic periods depends on operational DO. Environ Sci Technol 48(5):2934–2941

    Article  CAS  Google Scholar 

  • Guo J, Ni B-J, Han X, Chen X, Bond P, Peng Y, Yuan Z (2017) Unraveling microbial structure and diversity of activated sludge in a full-scale simultaneous nitrogen and phosphorus removal plant using metagenomic sequencing. Enzyme Microb Technol 102:16–25

    Article  CAS  Google Scholar 

  • Hai RT, Wang YL, Wang XH, Li Y, Du ZZ (2014) Bacterial vommunity dynamics and taxa-time relationships within two activated sludge bioreactors. PLoS One 9(3):e90175

  • Jaeger T, Hembach N, Elpers C, Wieland A, Alexander J, Hiller C, Krauter G, Schwartz T (2018) Reduction of antibiotic resistant bacteria during conventional and advanced wastewater treatment, and the disseminated loads released to the environment. Front Microbiol 9:2599

  • Korajkic A, McMinn B, Herrmann MP, Sivaganesan M, Kelty CA, Clinton P, Nash MS, Shanks OC (2020) Viral and bacterial fecal indicators in untreated wastewater across the contiguous United States exhibit geospatial trends. Appl Environ Microbiol 86(8):e02967-19

  • Kuo DHW, Simmons FJ, Blair S, Hart E, Rose JB, Xagoraraki I (2010) Assessment of human adenovirus removal in a full-scale membrane bioreactor treating municipal wastewater. Water Res 44(5):1520–1530

    Article  CAS  Google Scholar 

  • Lehner A, Tasara T, Stephan R (2005) Relevant aspects of Arcobacter spp. as potential foodborne pathogen. Int J Food Microbiol 102(2):127–135

    Article  CAS  Google Scholar 

  • Li QQ, Li JB, Jiang LF, Sun YT, Luo CL, Zhang G (2021) Diversity and structure of phenanthrene degrading bacterial communities associated with fungal bioremediation in petroleum contaminated soil. J Hazard Mater 403:123895

  • Liao CL, Liu XB, Liu RF, Shan LN (2015a) Characterization and effects of two algicidal isolates on antioxidase activities of Chlorella pyrenoidosa. Environ Prog Sustainable Energy 34(6):1647–1651

    Article  CAS  Google Scholar 

  • Liao CL, Liu XB, Liu RF, Shan LN (2015b) Two novel algicidal isolates kill Chlorella pyrenoidosa by inhibiting their host antioxidase activities. Appl Biochem Biotechnol 177(2):567–576

    Article  CAS  Google Scholar 

  • Lim S, Kim S, Yeon KM, Sang BI, Chun J, Lee CH (2012) Correlation between microbial community structure and biofouling in a laboratory scale membrane bioreactor with synthetic wastewater. Desalination 287:209–215

    Article  CAS  Google Scholar 

  • Liu SL, Chen YS, Xiao L (2021) Metagenomic insights into mixotrophic denitrification facilitated nitrogen removal in a full-scale A2/O wastewater treatment plant. PLoS One 16(4):e0250283

  • Lozupone C, Knight R (2005) UniFrac: a new phylogenetic method for comparing microbial communities. Appl Environ Microbiol 71(12):8228–8235

    Article  CAS  Google Scholar 

  • Lu X, Chen C, Zheng T, Chen J (2016) Temporal–spatial variation of bacterial diversity in estuary sediments in the south of Zhejiang Province China. Appl Microbiol Biotechnol 100(6):2817–2828

    Article  CAS  Google Scholar 

  • Luo Y, Yao J, Wang X, Zheng M, Guo D, Chen Y (2020) Efficient municipal wastewater treatment by oxidation ditch process at low temperature: bacterial community structure in activated sludge. Sci Total Environ 703:135031

    Article  CAS  Google Scholar 

  • Muyzer G, Dewaal EC, Uitterlinden AG (1993) Profiling of complex microbial-populations by denaturing gradient gel-electrophoresis analysis of polymerase chain reaction-amplified genes-coding for 16S ribosomal-RNA. Appl Environ Microbiol 59(3):695–700

    Article  CAS  Google Scholar 

  • Nascimento AL, Souza AJ, Maia Andrade PA, Andreote FD, Coscione AR, Oliveira FC, Regitano JB (2018) Sewage sludge microbial structures and relations to their sources, treatments, and chemical attributes. Front Microbiol 9:1462

  • Oksanen J, Blanchet FG, Friendly M, Kindt R, Legendre P, McGlinn D, Minchin PR, O'Hara RB, Simpson GL, Solymos P, Stevens MHH, Szoecs E, Wagner H (2017) Vegan: community ecology package. R package version 2.4–3. Access date 2017-04-07. Available online: https://CRAN.R-project.org/package=vegan

  • Pinto AJ, Schroeder J, Lunn M, Sloan W, Raskin L (2014) Spatial-temporal survey and occupancy-abundance modeling to predict bacterial community dynamics in the drinking water microbiome. mBio 5(3):e01135-14

  • Potron A, Poirel L, Nordmann P (2015) Emerging broad-spectrum resistance in Pseudomonas aeruginosa and Acinetobacter baumannii: mechanisms and epidemiology. Int J Antimicrob Agents 45(6):568–585

    Article  CAS  Google Scholar 

  • Purnell S, Halliday A, Newman F, Sinclair C, Ebdon J (2020) Pathogen infection risk to recreational water users, associated with surface waters impacted by de facto and indirect potable reuse activities. Sci Total Environ 722:137799–137799

    Article  CAS  Google Scholar 

  • Qin H, Ji B, Zhang S, Kong Z (2018) Study on the bacterial and archaeal community structure and diversity of activated sludge from three wastewater treatment plants. Mar Pollut Bull 135:801–807

    Article  CAS  Google Scholar 

  • Radomski N, Betelli L, Moilleron R, Haenn S, Moulin L, Cambau E, Rocher V, Goncalves A, Lucas FS (2011) Mycobacterium behavior in wastewater treatment plant, a bacterial model distinct From Escherichia coli and Enterococci. Environ Sci Technol 45(12):5380–5386

    Article  CAS  Google Scholar 

  • Rodriguez-Sanchez A, Leyva-Diaz JC, Munoz-Palazon B, Rivadeneyra MA, Hurtado-Martinez M, Martin-Ramos D, Gonzalez-Martinez A, Poyatos JM, Gonzalez-Lopez J (2018) Biofouling formation and bacterial community structure in hybrid moving bed biofilm reactor-membrane bioreactors: influence of salinity concentration. Water 10(9):1133

  • Rognes T, Flouri T, Nichols B, Quince C, Mahé F (2016) VSEARCH: a versatile open source tool for metagenomics. PeerJ 4:e2584

  • Song Y, Mhuantong W, Liu SY, Pisutpaisal N, Wongwilaiwalin S, Kanokratana P, Wang AJ, Jiang CY, Champreda V, Qiu DR, Liu SJ (2021) Tropical and temperate wastewater treatment plants assemble different and diverse microbiomes. Appl Microbiol Biotechnol 105(2):853–867

    Article  CAS  Google Scholar 

  • Świątczak P, Cydzik-Kwiatkowska A (2018) Performance and microbial characteristics of biomass in a full-scale aerobic granular sludge wastewater treatment plant. Environ Sci Pollut Res 25(2):1655–1669

    Article  Google Scholar 

  • Thomas F, Hehemann J-H, Rebuffet E, Czjzek M, Michel G (2011) Environmental and gut Bacteroidetes: the food connection. Front Microbiol 2:93

  • Tiirik K, Nolvak H, Truu M, Peeb A, Koiv-Vainik M, Truu J (2021) The effect of the effluent from a small-scale conventional wastewater treatment plant treating municipal wastewater on the composition and abundance of the microbial community, antibiotic resistome, and pathogens in the sediment and water of a receiving stream. Water 13(6):865

  • Tiwari B, Sellamuthu B, Piché-Choquette S, Drogui P, Tyagi RD, Vaudreuil MA, Sauvé S, Buelna G, Dubé R (2019) The bacterial community structure of submerged membrane bioreactor treating synthetic hospital wastewater. Biores Technol 286:121362

    Article  CAS  Google Scholar 

  • Vadde KK, Feng Q, Wang J, McCarthy AJ, Sekar R (2019) Next-generation sequencing reveals fecal contamination and potentially pathogenic bacteria in a major inflow river of Taihu Lake. Environ Pollut 254:113108

  • Wu HZ, Wang M, Zhu S, Xie JT, Preis S, Li FS, Wei CH (2019) Structure and function of microbial community associated with phenol co-substrate in degradation of benzo a pyrene in coking wastewater. Chemosphere 228:128–138

    Article  CAS  Google Scholar 

  • Xue J, Schmitz BW, Caton K, Zhang B, Zabaleta J, Garai J, Taylor CM, Romanchishina T, Gerba CP, Pepper IL (2019) Assessing the spatial and temporal variability of bacterial communities in two Bardenpho wastewater treatment systems via Illumina MiSeq sequencing. Sci Total Environ 657:1543–1552

    Article  CAS  Google Scholar 

  • Zhang B, Yu Q, Yan G, Zhu H, yang Xu X, Zhu L (2018) Seasonal bacterial community succession in four typical wastewater treatment plants: correlations between core microbes and process performance. Sci Rep 8(1):4566

    Article  Google Scholar 

  • Zhang L, Shen Z, Fang W, Gao G (2019a) Composition of bacterial communities in municipal wastewater treatment plant. Sci Total Environ 689:1181–1191

  • Zhang M, Wu Z, Sun Q, Ding Y, Ding Z, Sun L (2019b) Response of chemical properties, microbial community structure and functional genes abundance to seasonal variations and human disturbance in Nanfei River sediments. Ecotoxicol Environ Saf 183:109601

    Article  CAS  Google Scholar 

  • Zhang T, Shao MF, Ye L (2012) 454 Pyrosequencing reveals bacterial diversity of activated sludge from 14 sewage treatment plants. ISME J 6(6):1137–1147

    Article  CAS  Google Scholar 

  • Zhang Y, Wang KT, Jiang WL, He JY, Wang H, Li B, Gao M (2020) Black odorous water concentrating by forward osmosis (FO) with aquaporin biomimetic membranes: pollutants concentrating and membrane fouling characteristics. Chem Eng J 400:125938

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Funding

This work was supported by the National Key Research and Development Program of China (2020YFD0901003), the Shenzhen Sustainable Development Science and Technology Project (KCXFZ20201221173404012), the Scientific Research Startup Fund for Shenzhen High-Caliber Personnel of SZPT (No. 6022310040 K), the Post-doctoral Later-stage Foundation Project of Shenzhen Polytechnic (6021271015K1), and Urban smart water pollution prevention and control technology development center, Department of education of Guangdong Province (2019GGCZX007).

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SL: conceptualization, project administration, funding acquisition, and supervision. SW: investigation, methodology, and writing with review and editing. MHW: writing with review and editing. MZ: writing with review and editing. KW: investigation and methodology. LZ: investigation and Methodology. LO: conceptualization, formal analysis, and writing of the original draft.

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Correspondence to Liao Ouyang.

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Li, S., Wang, S., Wong, M.H. et al. Changes in the composition of bacterial communities and pathogen levels during wastewater treatment. Environ Sci Pollut Res 30, 1232–1243 (2023). https://doi.org/10.1007/s11356-022-21947-8

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