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Successional dynamics and alternative stable states in a saline activated sludge microbial community over 9 years
BACKGROUND: Microbial communities in both natural and applied settings reliably carry out myriads of functions, yet how stable these taxonomically diverse assemblages can be and what causes them to transition between states remains poorly understood. We studied monthly activated sludge (AS) samples...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495973/ https://www.ncbi.nlm.nih.gov/pubmed/34615557 http://dx.doi.org/10.1186/s40168-021-01151-5 |
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author | Wang, Yulin Ye, Jun Ju, Feng Liu, Lei Boyd, Joel A. Deng, Yu Parks, Donovan H. Jiang, Xiaotao Yin, Xiaole Woodcroft, Ben J. Tyson, Gene W. Hugenholtz, Philip Polz, Martin F. Zhang, Tong |
author_facet | Wang, Yulin Ye, Jun Ju, Feng Liu, Lei Boyd, Joel A. Deng, Yu Parks, Donovan H. Jiang, Xiaotao Yin, Xiaole Woodcroft, Ben J. Tyson, Gene W. Hugenholtz, Philip Polz, Martin F. Zhang, Tong |
author_sort | Wang, Yulin |
collection | PubMed |
description | BACKGROUND: Microbial communities in both natural and applied settings reliably carry out myriads of functions, yet how stable these taxonomically diverse assemblages can be and what causes them to transition between states remains poorly understood. We studied monthly activated sludge (AS) samples collected over 9 years from a full-scale wastewater treatment plant to answer how complex AS communities evolve in the long term and how the community functions change when there is a disturbance in operational parameters. RESULTS: Here, we show that a microbial community in activated sludge (AS) system fluctuated around a stable average for 3 years but was then abruptly pushed into an alternative stable state by a simple transient disturbance (bleaching). While the taxonomic composition rapidly turned into a new state following the disturbance, the metabolic profile of the community and system performance remained remarkably stable. A total of 920 metagenome-assembled genomes (MAGs), representing approximately 70% of the community in the studied AS ecosystem, were recovered from the 97 monthly AS metagenomes. Comparative genomic analysis revealed an increased ability to aggregate in the cohorts of MAGs with correlated dynamics that are dominant after the bleaching event. Fine-scale analysis of dynamics also revealed cohorts that dominated during different periods and showed successional dynamics on seasonal and longer time scales due to temperature fluctuation and gradual changes in mean residence time in the reactor, respectively. CONCLUSIONS: Our work highlights that communities can assume different stable states under highly similar environmental conditions and that a specific disturbance threshold may lead to a rapid shift in community composition. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-021-01151-5. |
format | Online Article Text |
id | pubmed-8495973 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-84959732021-10-07 Successional dynamics and alternative stable states in a saline activated sludge microbial community over 9 years Wang, Yulin Ye, Jun Ju, Feng Liu, Lei Boyd, Joel A. Deng, Yu Parks, Donovan H. Jiang, Xiaotao Yin, Xiaole Woodcroft, Ben J. Tyson, Gene W. Hugenholtz, Philip Polz, Martin F. Zhang, Tong Microbiome Research BACKGROUND: Microbial communities in both natural and applied settings reliably carry out myriads of functions, yet how stable these taxonomically diverse assemblages can be and what causes them to transition between states remains poorly understood. We studied monthly activated sludge (AS) samples collected over 9 years from a full-scale wastewater treatment plant to answer how complex AS communities evolve in the long term and how the community functions change when there is a disturbance in operational parameters. RESULTS: Here, we show that a microbial community in activated sludge (AS) system fluctuated around a stable average for 3 years but was then abruptly pushed into an alternative stable state by a simple transient disturbance (bleaching). While the taxonomic composition rapidly turned into a new state following the disturbance, the metabolic profile of the community and system performance remained remarkably stable. A total of 920 metagenome-assembled genomes (MAGs), representing approximately 70% of the community in the studied AS ecosystem, were recovered from the 97 monthly AS metagenomes. Comparative genomic analysis revealed an increased ability to aggregate in the cohorts of MAGs with correlated dynamics that are dominant after the bleaching event. Fine-scale analysis of dynamics also revealed cohorts that dominated during different periods and showed successional dynamics on seasonal and longer time scales due to temperature fluctuation and gradual changes in mean residence time in the reactor, respectively. CONCLUSIONS: Our work highlights that communities can assume different stable states under highly similar environmental conditions and that a specific disturbance threshold may lead to a rapid shift in community composition. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-021-01151-5. BioMed Central 2021-10-06 /pmc/articles/PMC8495973/ /pubmed/34615557 http://dx.doi.org/10.1186/s40168-021-01151-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Wang, Yulin Ye, Jun Ju, Feng Liu, Lei Boyd, Joel A. Deng, Yu Parks, Donovan H. Jiang, Xiaotao Yin, Xiaole Woodcroft, Ben J. Tyson, Gene W. Hugenholtz, Philip Polz, Martin F. Zhang, Tong Successional dynamics and alternative stable states in a saline activated sludge microbial community over 9 years |
title | Successional dynamics and alternative stable states in a saline activated sludge microbial community over 9 years |
title_full | Successional dynamics and alternative stable states in a saline activated sludge microbial community over 9 years |
title_fullStr | Successional dynamics and alternative stable states in a saline activated sludge microbial community over 9 years |
title_full_unstemmed | Successional dynamics and alternative stable states in a saline activated sludge microbial community over 9 years |
title_short | Successional dynamics and alternative stable states in a saline activated sludge microbial community over 9 years |
title_sort | successional dynamics and alternative stable states in a saline activated sludge microbial community over 9 years |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8495973/ https://www.ncbi.nlm.nih.gov/pubmed/34615557 http://dx.doi.org/10.1186/s40168-021-01151-5 |
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