Abstract
The assembly of bacterial communities in wastewater treatment plants (WWTPs) is affected by immigration via wastewater streams, but the impact and extent of bacterial immigrants are still unknown. Here, we quantify the effect of immigration at the species level in 11 Danish full-scale activated sludge (AS) plants. All plants have different source communities but have very similar process design, defining the same overall environmental growth conditions. The AS community composition in each plant was strongly reflected by the corresponding influent wastewater (IWW) microbial composition. Most species in AS across the plants were detected and quantified in the corresponding IWW, allowing us to identify their fate in the AS: growing, disappearing, or surviving. Most of the abundant species in IWW disappeared in AS, so their presence in the AS biomass was only due to continuous mass-immigration. In AS, most of the abundant growing species were present in the IWW at very low abundances. We predicted the AS species abundances from their abundance in IWW by using a partial least square regression model. Some species in AS were predicted by their own abundance in IWW, while others by multiple species abundances. Detailed analyses of functional guilds revealed different prediction patterns for different species. We show, in contrast to the present understanding, that the AS microbial communities were strongly controlled by the IWW source community and could be quantitatively predicted by taking into account immigration. This highlights a need to revise the way we understand, design, and manage the microbial communities in WWTPs.
Originalsprog | Engelsk |
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Artikelnummer | e2021589118 |
Tidsskrift | Proceedings of the National Academy of Sciences of the United States of America |
Vol/bind | 118 |
Udgave nummer | 27 |
ISSN | 0027-8424 |
DOI | |
Status | Udgivet - 6 jul. 2021 |
Bibliografisk note
Funding Information:ACKNOWLEDGMENTS. We thank all the plant operators for the collection of samples and process parameters. The project has been funded by the Villum Foundation (Grant 16578, Microbial Dark Matter) and Aalborg University.
Publisher Copyright:
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