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Updated: Jan 7, 2026

Mesocosm-Scale Constructed Wetland Design for Wastewater Treatment
Published on: May 2, 2025
Deciphering ecological drivers and assembly mechanisms of sulfonamide-degrading bacteria in constructed wetlands
Luping Zeng1, Jing Wen2, Yangliang Gu2
1Research Center of Hydrobiology, Department of Ecology, Jinan University, Guangzhou, 510632, China; The Key Laboratory of Water and Air Pollution Control of Guangdong Province, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, No. 18 Ruihe Road, Guangzhou, 510530, China.
Abstract:
Constructed wetlands (CWs) are increasingly utilized for sulfonamide remediation, yet the ecological drivers governing sulfonamide-degrading bacteria (SDB) remain inadequately characterized. To systematically evaluate how oxygen and nutrient availability interact to shape SDB communities, this study classified CWs into three distinct functional types: high-dissolved-oxygen-high-nutrient (HD-HN), high-dissolved-oxygen-low-nutrient (HD-LN), and low-dissolved-oxygen-high-nutrient (LD-HN) systems. Analysis of medium-to-large CWs in South China demonstrated pervasive SDB colonization (relative abundance: 0.104 %-0.503 %), with comparative analysis across the three CW types revealing that aerobic regimes synergized with elevated nutrient loads fostered stochastic community assembly (R2 = 0.813 for HD-HN) and expanded niche breadth of SDB, culminating in functionally robust consortia. The classification framework demonstrated that stochastic processes dominated high-resource environments (HD-HN), starkly contrasting with deterministic selection in oxygen-depleted systems (LD-HN) and nutrient-limited conditions (HD-LN). Co-occurrence network pinpointed SDB as keystone taxa with significantly higher connectivity (average degree >30), facilitating sulfonamide elimination through cross-functional collaboration with non-SDB taxa. Mesocosm experiments validated field observations by replicating key environmental gradients under controlled conditions, achieving >50 % sulfamethazine removal in optimized HD-HN configurations, confirming the generalizability of the identified SDB response patterns. These findings advance predictive frameworks for optimizing CW design through targeted manipulation of oxygen and nutrient regimes to enhance co-contaminant remediation.
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