Multivariate analysis of activated sludge community in full-scale wastewater treatment plants

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Abstract

We investigated changes in protozoa and metazoa community in relation to process parameters in activated sludge from four wastewater treatment plants (WWTPs) throughout the period of 1 year. Principal component analysis (PCA) showed that activated sludge from investigated treatment plants had different dominating species representatives and community composition mainly depends on individual features of the treatment plants. Redundancy analysis (RDA) showed that the temperature in bioreactors was the most relevant factor explaining changes in the microorganism community, whereas reduction rate of chemical oxygen demand (COD), biological oxygen demand (BOD ₅), suspended solids (SS), and total nitrogen (TN) did not sufficiently explain the variation in protozoa and metazoan community composition. The results indicate that in stable working WWTP it is difficult to find a pronounced link between activated sludge species composition, process parameters, and plant configuration. Applied multivariate analysis can be a valuable tool for the exploration of the relations between community composition and WWTP process parameters.

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Global diversity and biogeography of bacterial communities in wastewater treatment plants

Linwei Wu, Daliang Ning, Bing Zhang … (2019)

Microorganisms in wastewater treatment plants (WWTPs) are essential for water purification to protect public and environmental health. However, the diversity of microorganisms and the factors that control it are poorly understood. Using a systematic global-sampling effort, we analysed the 16S ribosomal RNA gene sequences from ~1,200 activated sludge samples taken from 269 WWTPs in 23 countries on 6 continents. Our analyses revealed that the global activated sludge bacterial communities contain ~1 billion bacterial phylotypes with a Poisson lognormal diversity distribution. Despite this high diversity, activated sludge has a small, global core bacterial community (n = 28 operational taxonomic units) that is strongly linked to activated sludge performance. Meta-analyses with global datasets associate the activated sludge microbiomes most closely to freshwater populations. In contrast to macroorganism diversity, activated sludge bacterial communities show no latitudinal gradient. Furthermore, their spatial turnover is scale-dependent and appears to be largely driven by stochastic processes (dispersal and drift), although deterministic factors (temperature and organic input) are also important. Our findings enhance our mechanistic understanding of the global diversity and biogeography of activated sludge bacterial communities within a theoretical ecology framework and have important implications for microbial ecology and wastewater treatment processes.

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A sludge biotic index (SBI) for the evaluation of the biological performance of activated sludge plants based on the microfauna analysis

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Author and article information

Contributors

Mateusz Sobczyk:

ORCID: http://orcid.org/0000-0001-9201-989X

mateusz.pawel.sobczyk@gmail.com

Journal

Journal ID (nlm-ta): Environ Sci Pollut Res Int

Journal ID (iso-abbrev): Environ Sci Pollut Res Int

Title: Environmental Science and Pollution Research International

Publisher: Springer Berlin Heidelberg (Berlin/Heidelberg )

ISSN (Print): 0944-1344

ISSN (Electronic): 1614-7499

Publication date (Electronic): 12 September 2020

Publication date PMC-release: 12 September 2020

Publication date (Print): 2021

Volume: 28

Issue: 3

Pages: 3579-3589

Affiliations

GRID grid.5522.0, ISNI 0000 0001 2162 9631, Institute of Environmental Sciences, , Jagiellonian University, ; Gronostajowa 7, 30-387 Krakow, Poland

Author notes

Responsible Editor: Diane Purchase

Author information

Mateusz Sobczyk http://orcid.org/0000-0001-9201-989X

Article

Publisher ID: 10684

DOI: 10.1007/s11356-020-10684-5

PMC ID: 7788020

PubMed ID: 32918692

SO-VID: ed02136a-7ef7-4bd0-ba7f-04ce8cb059ff

License:

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

History

Date received : 28 April 2020

Date accepted : 30 August 2020

Funding

Funded by: FundRef http://dx.doi.org/10.13039/501100005632, Narodowe Centrum Badań i Rozwoju;

Award ID: GEKON1/O3/214361/8/2014

Funded by: FundRef http://dx.doi.org/10.13039/100012962, Narodowy Fundusz Ochrony Środowiska i Gospodarki Wodnej;

Award ID: GEKON1/O3/214361/8/2014

Funded by: FundRef http://dx.doi.org/10.13039/501100007088, Uniwersytet Jagielloński w Krakowie;

Award ID: DS/WBiNoŚ/INoŚ/758

Custom metadata

ScienceOpen disciplines: General environmental science

Keywords: activated sludge,protozoa,metazoa,process parameters,pca,rda

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ScienceOpen disciplines: General environmental science

Keywords: activated sludge, protozoa, metazoa, process parameters, pca, rda

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