Jiangsu Key Laboratory of Marine Biotechnology, Jiangsu Ocean University, Lianyungang, China; College of Bio-systems Engineering and Food Science, Zhejiang University, Hangzhou, China; Jiangsu Key Laboratory of Marine Bioresources and Environment, Jiangsu Ocean University, Lianyungang, China.
Jiangsu Key Laboratory of Marine Biotechnology, Jiangsu Ocean University, Lianyungang, China.
Chemosphere. 2024 Sep;363:142795. doi: 10.1016/j.chemosphere.2024.142795. Epub 2024 Jul 8.
Constructed wetlands use vegetation and microorganisms to remove contaminants like nitrogen and phosphorus from water. For mariculture, the impact of salinity on the efficiency of wastewater treatment of wetlands is unneglectable. However, little is known about their impact on the microbiome in constructed wetlands. Here, we set four salinity levels (15, 22, 29, and 36) in Salicornia constructed wetlands, and the experiment was conducted for a period of 72 days. The 15 group exhibited the highest removal rates of nitrogen compounds and phosphate, compared to the other salinity groups, the nosZ gene exhibited significantly higher expression in the 22 group (p < 0.05), indicated that microorganisms in 22 salinity have higher denitrification abilities. The three dominant phyla identified within the microbiomes were Proteobacteria, known for their diverse metabolic capabilities; Cyanobacteria, important for photosynthesis and nitrogen fixation; and Firmicutes, which include many fermenters. The ecological network analysis revealed a 'small world' model, characterized by high interconnectivity and short path lengths between microbial species, and had higher co-occurrence (45.13%) observed in this study comparing to the Erdös-Réyni random one (32.35%). The genus Microbulbifer emerged as the sole connector taxon, pivotal for integrating different microbial communities involved in nitrogen removal. A negative correlation was observed between salinity levels and network complexity, as assessed by the number of connections and diversity of interactions within the microbial community. Collectively, these findings underscore the critical role of microbial community interactions in optimizing nitrogen removal in constructed wetlands, with potential applications in the design and management of such systems for improved wastewater treatment in mariculture.
人工湿地利用植被和微生物去除水中的氮和磷等污染物。对于海水养殖来说,盐度对湿地处理废水效率的影响不可忽视。然而,人们对其对人工湿地微生物组的影响知之甚少。在这里,我们在盐角草人工湿地中设置了四个盐度水平(15、22、29 和 36),并进行了为期 72 天的实验。与其他盐度组相比,15 组表现出最高的氮化合物和磷酸盐去除率,nosZ 基因在 22 组中的表达显著更高(p<0.05),表明 22 盐度下的微生物具有更高的反硝化能力。在微生物组中鉴定出的三个主要门是变形菌门,以其多样化的代谢能力而闻名;蓝细菌门,对光合作用和固氮很重要;厚壁菌门,其中包括许多发酵菌。生态网络分析揭示了一种“小世界”模型,其特点是微生物物种之间具有高度的互联性和短路径长度,并且与 Erdös-Réyni 随机模型(32.35%)相比,本研究中观察到更高的共现率(45.13%)。微球杆菌属作为唯一的连接分类群出现,对于整合参与氮去除的不同微生物群落至关重要。盐度水平与网络复杂性呈负相关,这可以通过微生物群落中连接的数量和相互作用的多样性来评估。总的来说,这些发现强调了微生物群落相互作用在优化人工湿地氮去除中的关键作用,这为海水养殖中此类系统的设计和管理提供了应用潜力,以实现更好的废水处理。