ArticleScientific reports2019
Composition and Dynamics of the Activated Sludge Microbiome during Seasonal Nitrification Failure.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
29 citing papers in PubMed.
- Multi-omics provides functional insights and underscores practical challenges in assessing the composition and performance of a nitrifying microbial consortium.Applied and environmental microbiology · 2026Article
- Similarity of activated sludge and treated wastewater with special reference to nitrifiers and their seasonal variability.Scientific reports · 2026Article
- The role of bacteria in wastewater treatment and the impact of treated wastewater on riverine bacterial ecosystems.PloS one · 2026Article
- Microbial diversity supports nitrification: insights from a full-scale anoxic/oxic wastewater treatment process.Applied and environmental microbiology · 2025Article
- Article
- Nitrifying Communities in Biological Nitrogen Removal Processes at Tropical Municipal Wastewater Treatment Plants.Microbes and environments · 2025Article
- Microalgae-bacteria symbiosis enhanced nitrogen removal from wastewater in an inversed fluidized bed bioreactor: performance and microflora.Frontiers in microbiology · 2025Article
- Associative analysis of sludge microbiota and wastewater degradation efficacy within swine farm sludge systems.Heliyon · 2024Article
- Effects of operational parameters on bacterial communities in Hong Kong and global wastewater treatment plants.mSystems · 2024Article
- Temporal metagenomic characterization of microbial community structure and nitrogen modification genes within an activated sludge bioreactor system.Microbiology spectrum · 2024Article
- Comparative analyses on nitrogen removal microbes and functional genes within anaerobic-anoxic-oxic and deoxidation ditch sewage-treating processes in Wuhan and Xi'an cities, China.Frontiers in microbiology · 2024Article
- Seasonal prevalence of bacteria in the outflow of two full-scale municipal wastewater treatment plants.Scientific reports · 2023Article
- Combining Flow Cytometry and Metagenomics Improves Recovery of Metagenome-Assembled Genomes in a Cell Culture from Activated Sludge.Microorganisms · 2023Article
- Initial pH Conditions Shape the Microbial Community Structure of Sewage Sludge in Batch Fermentations for the Improvement of Volatile Fatty Acid Production.Microorganisms · 2022Article
- The Potential of Sewage Sludge to Predict and Evaluate the Human Chemical Exposome.Environmental science & technology letters · 2021Article
- Article
- Relevance of Candidatus Nitrotoga for nitrite oxidation in technical nitrogen removal systems.Applied microbiology and biotechnology · 2021Review
- Direct Evidence for Deterministic Assembly of Bacterial Communities in Full-Scale Municipal Wastewater Treatment Facilities.Applied and environmental microbiology · 2021Article
- Different Engineering Designs Have Profoundly Different Impacts on the Microbiome and Nitrifying Bacterial Populations in Municipal Wastewater Treatment Bioreactors.Applied and environmental microbiology · 2021Article
- Linking seasonal NWater research X · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Wastewater treatment plants in temperate climate zones frequently undergo seasonal nitrification failure in the winter month yet maintain removal efficiency for other contaminants. We tested the hypothesis that nitrification failure can be correlated to shifts in the nitrifying microbial community. We monitored three parallel, full-scale sequencing batch reactors over the course of a year with respect to reactor performance, microbial community composition via 16S rRNA gene amplicon sequencing, and functional gene abundance using qPCR. All reactors demonstrated similar changes to their core microbiome, and only subtle variations among seasonal and transient taxa. We observed a decrease in species richness during the winter, with a slow recovery of the activated sludge community during spring. Despite the change in nitrification performance, ammonia monooxygenase gene abundances remained constant throughout the year, as did the relative sequence abundance of Nitrosomonadacae. This suggests that nitrification failure at colder temperatures might result from different reaction kinetics of nitrifying taxa, or that other organisms with strong seasonal shifts in population abundance, e.g. an uncultured lineage of Saprospiraceae, affect plant performance in the winter. This research is a comprehensive analysis of the seasonal microbial community dynamics in triplicate full-scale sequencing batch reactors and ultimately strengthens our basic understanding of the microbial ecology of activated sludge communities by revealing seasonal succession patterns of individual taxa that correlate with nutrient removal efficiency.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.