人工湿地植物类型对低污染水净化的效率及其根际微生物机制

Differential contributions of plant types to micropolluted water purification and their rhizosphere microbial mechanisms in constructed wetlands

  • 摘要: 低污染河湖水体通常具有污染物浓度低、碳源不足和水质波动性强等特点,污染物稳定去除难度较大。人工湿地因兼具污染物净化与生态功能,被广泛应用于低污染水治理,但不同植物类型的净化效率及其根际微生物机制尚不完全明确。为此,构建4套水平潜流人工湿地系统,设置黄花鸢尾、芦苇、纸莎草3种典型工程植物组及无植物对照组,以实际低污染河水为处理对象,连续运行84 d,结合水质指标分析、16S rRNA高通量测序和PICRUSt2功能预测,揭示不同植物类型人工湿地对低污染河水的净化效率及其根际微生物机制。结果显示:人工湿地对低污染河水中TP的去除主要由基质吸附作用为主导。相比对照组,种植植物显著增强了TN和\mathrmNH_4^+ -N的去除效果,并改善了CODMn去除效果,但不同植物对污染物的去除效率存在明显差异。其中,黄花鸢尾组对TN去除率最高,平均去除率为46.54%;纸莎草组在\mathrmNH_4^+ -N和CODMn协同去除方面表现最优,去除率分别为53.80%和79.09%;芦苇组整体去除效果虽不突出,但更有利于维持系统稳定运行。微生物分析表明,植物根际显著重塑了群落结构组成,推动微生物群落由相对分散的多样化状态向优势化、功能化方向演替。Proteobacteria和Actinobacteriota始终为优势菌门,SphingomonasParacoccus等与有机物降解及氮素转化相关菌属在植物根际显著富集;同时,碳水化合物代谢等功能通路得到增强。研究表明,不同植物可通过根系供碳、输氧及微环境调控选择性富集功能菌群,进而对污染物起到不同去除效果。研究结果可为人工湿地净化低污染水时植物优化配置及功能强化提供依据。

     

    Abstract: Micropolluted river and lake waters are typically characterized by low pollutant concentrations, limited carbon availability and strong water-quality fluctuations, which make stable pollutant removal difficult. Constructed wetlands (CWs) are widely used for micropolluted water treatment because they combine purification capacity with ecological benefits. However, the species-specific contributions of wetland plants and the rhizosphere microbial mechanisms that underlie these differences remain poorly understood. We established four horizontal subsurface-flow CW systems planted with Iris pseudacorus, Phragmites australis and Cyperus papyrus, together with an unplanted control, and operated them for 84 days using real micropolluted river water. By integrating water-quality analysis with 16S rRNA high-throughput sequencing and PICRUSt2-based functional prediction, we investigated the differential contributions of plant species to micropolluted water purification and the associated rhizosphere microbial mechanisms. The results showed that total phosphorus removal was governed mainly by substrate adsorption. Relative to the unplanted control, vegetation markedly enhanced the removal of total nitrogen and \mathrmNH_4^+ -N and also improved CODMn removal, although the contribution patterns differed among plant species. Iris pseudacorus made the greatest contribution to total nitrogen removal, with an average removal efficiency of 46.54%. Cyperus papyrus showed the best co-removal performance for \mathrmNH_4^+ -N and CODMn, with removal efficiencies of 53.80% and 79.09%, respectively. Although Phragmites australis did not show the highest overall removal efficiency, it was more effective in maintaining stable system performance. Microbial analyses showed that plant roots substantially reshaped rhizosphere community structure, driving the microbial community from a relatively dispersed and diverse state towards a more dominant and functionally specialized assemblage. Proteobacteria and Actinobacteriota remained the dominant phyla throughout, while taxa associated with organic matter degradation and nitrogen transformation, including Sphingomonas and Paracoccus, were significantly enriched in plant rhizosphere. Functional pathways related to carbohydrate metabolism were also enhanced. These findings suggest that different plant species selectively enrich functional microbial groups through root-derived carbon inputs, oxygen release and rhizosphere microenvironment regulation, thereby generating distinct pollutant-removal pathways. This study provides a theoretical basis for plant selection and functional enhancement in constructed wetlands for micropolluted river and lake water treatment.

     

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