Temporal Dynamics and Performance Association of the Tetrasphaera-Enriched Microbiome for Enhanced Biological Phosphorus Removal

Hui Wang, Yubo Wang, Guoqing Zhang, Ze Zhao, Feng Ju

Engineering ›› 2023, Vol. 29 ›› Issue (10) : 168-178.

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Engineering ›› 2023, Vol. 29 ›› Issue (10) : 168-178. DOI: 10.1016/j.eng.2022.10.016
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Temporal Dynamics and Performance Association of the Tetrasphaera-Enriched Microbiome for Enhanced Biological Phosphorus Removal

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Highlights

• A novel putative Tetrasphaera PAOs species (EBPR-ASV0001) was enriched.

• Short-term bio-stimulation with 1 mg⋅L-1 allylthiourea promoted Tetrasphaera-enriched microbiome establishment.

Microlunatus participated the Tetrasphaera-enriched microbiome establishment and function.

Tetrasphaera-enriched microbiome showed high potential in P resource recovery.

Abstract

Tetrasphaera have been recently identified based on the 16S ribosomal RNA (rRNA) gene as among the most abundant polyphosphate-accumulating organisms (PAOs) in global full-scale wastewater treatment plants (WWTPs) with enhanced biological phosphorus removal (EBPR). However, it is unclear how Tetrasphaera PAOs are selectively enriched in the context of the EBPR microbiome. In this study, an EBPR microbiome enriched with Tetrasphaera (accounting for 40% of 16S sequences on day 113) was built using a top-down design approach featuring multicarbon sources and a low dosage of allylthiourea. The microbiome showed enhanced nutrient removal (phosphorus removal ∼85% and nitrogen removal ∼80%) and increased phosphorus recovery (up to 23.2 times) compared with the seeding activated sludge from a local full-scale WWTP. The supply of 1 mg·L−1 allylthiourea promoted the coselection of Tetrasphaera PAOs and Microlunatus PAOs and sharply reduced the relative abundance of both ammonia oxidizer Nitrosomonas and putative competitors Brevundimonas and Paracoccus, facilitating the establishment of the EBPR microbiome. Based on 16S rRNA gene analysis, a putative novel PAO species, EBPR-ASV0001, was identified with Tetrasphaera japonica as its closest relative. This study provides new knowledge on the establishment of a Tetrasphaera-enriched microbiome facilitated by allylthiourea, which can be further exploited to guide future process upgrading and optimization to achieve and/or enhance simultaneous biological phosphorus and nitrogen removal from high-strength wastewater.

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Keywords

Enhanced biological phosphorus removal (EBPR) / Polyphosphate-accumulating organisms (PAOs) / Tetrasphaera / Microbiome / Phosphorus recovery

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Hui Wang, Yubo Wang, Guoqing Zhang, Ze Zhao, Feng Ju. Temporal Dynamics and Performance Association of the Tetrasphaera-Enriched Microbiome for Enhanced Biological Phosphorus Removal. Engineering, 2023, 29(10): 168‒178 https://doi.org/10.1016/j.eng.2022.10.016

References

[1]
A. Deletic, H. Wang. Water pollution control for sustainable development. Engineering, 5 (5) ( 2019), pp. 839-840
[2]
A. Soares. Wastewater treatment in 2050: challenges ahead and future vision in an European context. Environ Sci Ecotechnol, 2 ( 2020), Article 100030
[3]
H.G. Martín, N. Ivanova, V. Kunin, F. Warnecke, K.W. Barry, A.C. McHardy, et al.. Metagenomic analysis of two enhanced biological phosphorus removal (EBPR) sludge communities. Nat Biotechnol, 24 (10) ( 2006), pp. 1263-1269. DOI: 10.1038/nbt1247
[4]
P.H. Nielsen, S.J. McIlroy, M. Albertsen, M. Nierychlo. Re-evaluating the microbiology of the enhanced biological phosphorus removal process. Curr Opin Biotechnol, 57 ( 2019), pp. 111-118
[5]
F. Ju, T. Zhang. Advances in meta-omics research on activated sludge microbial community. Microbiol China, 46 (08) ( 2019), pp. 2038-2052 [Chinese].
[6]
F. Ju, T. Zhang. Bacterial assembly and temporal dynamics in activated sludge of a full-scale municipal wastewater treatment plant. ISME J, 9 (3) ( 2015), pp. 683-695. DOI: 10.1038/ismej.2014.162
[7]
M. Stokholm-Bjerregaard, S.J. McIlroy, M. Nierychlo, S.M. Karst, M. Albertsen, P.H. Nielsen. A critical assessment of the microorganisms proposed to be important to enhanced biological phosphorus removal in full-scale wastewater treatment systems. Front Microbiol, 8 ( 2017), p. 718
[8]
Petriglieri F, Singleton C, Peces M, Petersen JF, Nierychlo M, Nielsen PH. “Candidatus Dechloromonas phosphoritropha” and “Ca. D. phosphorivorans”, novel polyphosphate accumulating organisms abundant in wastewater treatment systems. ISME J 2021; 15(12):3605-14.
[9]
E.Y. Fernando, S.J. McIlroy, M. Nierychlo, F.A. Herbst, F. Petriglieri, M.C. Schmid, et al.. Resolving the individual contribution of key microbial populations to enhanced biological phosphorus removal with Raman-FISH. ISME J, 13 (8) ( 2019), pp. 1933-1946. DOI: 10.1038/s41396-019-0399-7
[10]
R. Liu, X. Hao, Q. Chen, J. Li. Research advances of Tetrasphaera in enhanced biological phosphorus removal: a review. Water Res, 166 ( 2019), Article 115003
[11]
R. Kristiansen, H.T. Nguyen, A.M. Saunders, J.L. Nielsen, R. Wimmer, V.Q. Le, et al.. A metabolic model for members of the genus Tetrasphaera involved in enhanced biological phosphorus removal. ISME J, 7 (3) ( 2013), pp. 543-554. DOI: 10.1038/ismej.2012.136
[12]
R. Marques, A. Ribera-Guardia, J. Santos, G. Carvalho, M.A.M. Reis, M. Pijuan, et al.. Denitrifying capabilities of Tetrasphaera and their contribution towards nitrous oxide production in enhanced biological phosphorus removal processes. Water Res, 137 ( 2018), pp. 262-272
[13]
R. Marques, J. Santos, H. Nguyen, G. Carvalho, J.P. Noronha, P.H. Nielsen, et al.. Metabolism and ecological niche of Tetrasphaera and Ca. Accumulibacter in enhanced biological phosphorus removal. Water Res, 122 ( 2017), pp. 159-171
[14]
K. Close, R. Marques, V.C.F. Carvalho, E.B. Freitas, M.A.M. Reis, G. Carvalho, et al.. The storage compounds associated with Tetrasphaera PAO metabolism and the relationship between diversity and P removal. Water Res, 204 ( 2021), Article 117621
[15]
H. Lu, A. Oehmen, B. Virdis, J. Keller, Z. Yuan. Obtaining highly enriched cultures of Candidatus Accumulibacter phosphates through alternating carbon sources. Water Res, 40 (20) ( 2006), pp. 3838-3848
[16]
J. Guerrero, A. Guisasola, J.A. Baeza. The nature of the carbon source rules the competition between PAO and denitrifiers in systems for simultaneous biological nitrogen and phosphorus removal. Water Res, 45 (16) ( 2011), pp. 4793-4802
[17]
C.E. Lawson, W.R. Harcombe, R. Hatzenpichler, S.R. Lindemann, F.E. Löffler, M.A. O’Malley, et al.. Common principles and best practices for engineering microbiomes. Nat Rev Microbiol, 17 (12) ( 2019), pp. 725-741. DOI: 10.1038/s41579-019-0255-9
[18]
H. Hu, X. Li, S. Wu, C. Yang. Sustainable livestock wastewater treatment via phytoremediation: current status and future perspectives. Bioresour Technol, 315 ( 2020), Article 123809
[19]
State Environmental Protection Administration of China (SEPA). Monitoring and analysis methods of water and wastewater. Beijing: China Environmental Science Press; 2002. Chinese.
[20]
P. Roots, Y. Wang, A.F. Rosenthal, J.S. Griffin, F. Sabba, M. Petrovich, et al.. Comammox Nitrospira are the dominant ammonia oxidizers in a mainstream low dissolved oxygen nitrification reactor. Water Res, 157 ( 2019), pp. 396-405
[21]
M. Albertsen, S.M. Karst, A.S. Ziegler, R.H. Kirkegaard, P.H. Nielsen. Back to basics-the influence of DNA extraction and primer choice on phylogenetic analysis of activated sludge communities. PLoS One, 10 (7) ( 2015), p. e0132783. DOI: 10.1371/journal.pone.0132783
[22]
M. Martin. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet J, 17 (1) ( 2011), pp. 10-12. DOI: 10.14806/ej.17.1.200
[23]
E. Bolyen, J.R. Rideout, M.R. Dillon, N.A. Bokulich, C.C. Abnet, G.A. Al-Ghalith, et al.. Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2. Nat Biotechnol, 37 (8) ( 2019), pp. 852-857. DOI: 10.1038/s41587-019-0209-9
[24]
B.J. Callahan, P.J. McMurdie, M.J. Rosen, A.W. Han, A.J. Johnson, S.P. Holmes. DADA2: high-resolution sample inference from Illumina amplicon data. Nat Methods, 13 (7) ( 2016), pp. 581-583. DOI: 10.1038/nmeth.3869
[25]
C. Quast, E. Pruesse, P. Yilmaz, J. Gerken, T. Schweer, P. Yarza, et al.. The SILVA ribosomal RNA gene database project: improved data processing and web-based tools. Nucleic Acids Res, 41 ( 2013), pp. D590-D596
[26]
S. Kumar, G. Stecher, M. Li, C. Knyaz, K. Tamura. MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol, 35 (6) ( 2018), pp. 1547-1549
[27]
R.C. Edgar. MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res, 32 (5) ( 2004), pp. 1792-1797
[28]
R Core Team. R: a language and environment for statistical computing [Internet]. R Foundation for Statistical Computing; c, Vienna ( 2013). [cited 2022 May 13]. Available from: http://www.R-project.org/
[29]
F. Ju, Y. Xia, F. Guo, Z. Wang, T. Zhang. Taxonomic relatedness shapes bacterial assembly in activated sludge of globally distributed wastewater treatment plants. Environ Microbiol, 16 (8) ( 2014), pp. 2421-2432. DOI: 10.1111/1462-2920.12355
[30]
Y.F. Wang, J.D. Gu. Effects of allylthiourea, salinity, and pH on ammonia/ammonium-oxidizing prokaryotes in mangrove sediment incubated in laboratory microcosms. Appl Microbiol Biotechnol, 98 (7) ( 2014), pp. 3257-3274. DOI: 10.1007/s00253-013-5399-3
[31]
V.M. Vadivelu, J. Keller, Z. Yuan. Effect of free ammonia on the respiration and growth processes of an enriched Nitrobacter culture. Water Res, 41 (4) ( 2007), pp. 826-834
[32]
B. Liu, M. Terashima, N.T. Quan, N.T. Ha, L. Van Chieu, R. Goel, et al.. Determination of optimal dose of allylthiourea (ATU) for the batch respirometric test of activated sludge. Water Sci Technol, 77 (12) ( 2018), pp. 2876-2885. DOI: 10.2166/wst.2018.282
[33]
X. Yang, T. Nohira. A new concept for producing white phosphorus: electrolysis of dissolved phosphate in molten chloride. ACS Sustain Chem Eng, 8 (36) ( 2020), pp. 13784-13792. DOI: 10.1021/acssuschemeng.0c04796
[34]
F. Ju, K. Beck, X. Yin, A. Maccagnan, C.S. McArdell, H.P. Singer, et al.. Wastewater treatment plant resistomes are shaped by bacterial composition, genetic exchange, and upregulated expression in the effluent microbiomes. ISME J, 13 (2) ( 2019), pp. 346-360. DOI: 10.1038/s41396-018-0277-8
[35]
X. Tan, Y.L. Yang, X. Li, Z.W. Zhou, C.J. Liu, Y.W. Liu, et al.. Intensified nitrogen removal by heterotrophic nitrification aerobic denitrification bacteria in two pilot-scale tidal flow constructed wetlands: influence of influent C/N ratios and tidal strategies. Bioresour Technol, 302 ( 2020), Article 122803
[36]
T. Song, X. Zhang, J. Li, X. Wu, H. Feng, W. Dong. A review of research progress of heterotrophic nitrification and aerobic denitrification microorganisms (HNADMs). Sci Total Environ, 801 ( 2021), Article 149319
[37]
Z. Zhu, Y. Yang, A. Fang, Y. Lou, G. Xie, N. Ren, et al.. Quorum sensing systems regulate heterotrophic nitrification-aerobic denitrification by changing the activity of nitrogen-cycling enzymes. Environ Sci Ecotechnol, 2 ( 2020), Article 100026
[38]
M.D. Humphries, K. Gurney. Network ‘small-world-ness’: a quantitative method for determining canonical network equivalence. PLoS One, 3 (4) ( 2008), p. e0002051. DOI: 10.1371/journal.pone.0002051
[39]
L. Tian, L. Wang. Multi-omics analysis reveals structure and function of biofilm microbial communities in a pre-denitrification biofilter. Sci Total Environ, 757 ( 2021), Article 143908
[40]
M. Albertsen, P. Hugenholtz, A. Skarshewski, K.L. Nielsen, G.W. Tyson, P.H. Nielsen. Genome sequences of rare, uncultured bacteria obtained by differential coverage binning of multiple metagenomes. Nat Biotechnol, 31 (6) ( 2013), pp. 533-538. DOI: 10.1038/nbt.2579

This work was supported by the Key Research and Development Program of Zhejiang (2022C03075), National Natural Science Foundation of China (22241603), and Zhejiang Provincial Natural Science Foundation of China (LR22D010001). We would like to thank Dr. Xiao Yang and Dr. Xiangyu Yang for the helpful discussion and technical advice. The author would like to thank Yisong Xu for her professional support in equipment procurement and lab management. We thank the Microscopy Core Facility of Westlake University for the facility support and thank technician Fang Xiao for technical assistance. We thank the Research Center for Industries of the Future (RCIF), the Instrumentation and Service Center for Molecular Sciences and Physical Sciences, and The Westlake University-Muyuan Group Joint Research Institute at Westlake University for support. We thank the Westlake University High-Performance Computing Center for computation support.

Funding
the Key Research and Development Program of Zhejiang(2022C03075); National Natural Science Foundation of China(22241603); Zhejiang Provincial Natural Science Foundation of China(LR22D010001)
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