Determining the system status in advance is critical for implementing timely control strategies, preventing wastewater treatment instability due to overload stress, and enhancing system resilience to impact loads. Unlike traditional instability monitoring methods, identifying temporal relationships between pollutant removal efficiency and microbial community dynamics can offer novel insights into identifying optimal intervention windows. Here, we chose nitrite, a vital intermediate of nitrogen reaction in wastewater treatment, as a stress factor. Then, we investigated the effects of nitrite stress on denitrifying phosphorus removal system performance and microbiome. By monitoring carbon, nitrogen, and phosphorus removal efficiency and analyzing microbiome information, we found that variations in bacterial ecology preceded pollutant removal efficiency. The lag in pollutant removal efficiency relative to microbial community dynamics reflects the complex dynamics of species traits, metabolic functions, and functional redundancy. Species in clusters may drove specific pollutant removal; e.g., Betaproteobacteria are more closely associated with nitrogen removal, while Gammaproteobacteria are more linked to phosphorus removal. The cellular secretion function displayed greater susceptibility to overload stress compared to the substrate conversion function, resulting in decreased stability observed after 30 cycles, preceding the decline in substrate conversion efficiency. The lag in performance relative to community stability can be attributed to functional redundancy. Under overload stress conditions, functional redundancy within the microbiome decreased by 30.77% from 60 cycles to 120 cycles. Our results support a novel strategy for system collapse prediction via changes in the microbiome,enabling proactive regulation and ensuring system stability before irreversible deterioration occurs.
Read full abstract