Chen Jinling, Tang Xia, Wu Xuewei, Li Biping, Tang Xia, Lin Xueran, Li Pengfei, Chen Hang, Huang Fu, Deng Xuhan, Xie Xiaojing, Wei Chaohai, Zou Yao, Qiu Guanglei
School of Environment and Energy, South China University of Technology, Guangzhou, 510006, China.
Guangzhou Sewage Purification Co., Ltd, Guangzhou, 510006, China.
Chemosphere. 2024 Aug;361:142329. doi: 10.1016/j.chemosphere.2024.142329. Epub 2024 May 17.
Carbon source is a key factor determining the denitrifying effectiveness and efficiency in wastewater treatment plants (WWTPs). Whereas, the relationships between diverse and distinct denitrifying communities and their favorable carbon sources in full-scale WWTPs were not well-understood. This study performed a systematic analysis of the relationships between the denitrifying community and carbon sources by using 15 organic compounds from four categories and activated sludge from 8 full-scale WWTPs. Results showed that, diverse denitrifying bacteria were detected with distinct relative abundances in 8 WWTPs, such as Haliangium (1.98-4.08%), Dechloromonas (2.00-3.01%), Thauera (0.16-1.06%), Zoogloea (0.09-0.43%), and Rhodoferax (0.002-0.104%). Overall, acetate resulted in the highest denitrifying activities (1.21-4.62 mg/L/h/gMLSS), followed by other organic acids (propionate, butyrate and lactate, etc.). Detectable dissimilatory nitrate reduction to ammonium (DNRA) was observed for all 15 carbon sources. Methanol and glycerol resulted in the highest DRNA. Acetate, butyrate, and lactate resulted in the lowest DNRA. Redundancy analysis and 16S cDNA amplicon sequencing suggested that carbon sources within the same category tended to correlate to similar denitrifiers. Methanol and ethanol were primarily correlated to Haliangium. Glycerol and amino acids (glutamate and aspartate) were correlated to Inhella and Sphaerotilus. Acetate, propionate, and butyrate were positively correlated to a wide range of denitrifiers, explaining the high efficiency of these carbon sources. Additionally, even within the same genus, different amplicon sequence variants (ASVs) performed distinctly in terms of carbon source preference and denitrifying capabilities. These findings are expected to benefit carbon source formulation and selection in WWTPs.
碳源是决定污水处理厂(WWTPs)反硝化效果和效率的关键因素。然而,在实际运行的污水处理厂中,不同的反硝化群落与其偏好的碳源之间的关系尚未得到充分理解。本研究使用来自四类的15种有机化合物和8个实际运行的污水处理厂的活性污泥,对反硝化群落与碳源之间的关系进行了系统分析。结果表明,在8个污水处理厂中检测到了不同相对丰度的多种反硝化细菌,如盐单胞菌属(1.98 - 4.08%)、脱氯单胞菌属(2.00 - 3.01%)、陶厄氏菌属(0.16 - 1.06%)、动胶菌属(0.09 - 0.43%)和红长命菌属(0.002 - 0.104%)。总体而言,乙酸盐产生的反硝化活性最高(1.21 - 4.62 mg/L/h/gMLSS),其次是其他有机酸(丙酸盐、丁酸盐和乳酸盐等)。对于所有15种碳源均观察到可检测到的异化硝酸盐还原为铵(DNRA)现象。甲醇和甘油导致最高的DNRA。乙酸盐、丁酸盐和乳酸盐导致最低的DNRA。冗余分析和16S cDNA扩增子测序表明,同一类别的碳源倾向于与相似类型的反硝化菌相关。甲醇和乙醇主要与盐单胞菌属相关。甘油和氨基酸(谷氨酸和天冬氨酸)与英海尔氏菌属和球衣菌属相关。乙酸盐、丙酸盐和丁酸盐与多种反硝化菌呈正相关,这解释了这些碳源的高效性。此外,即使在同一属内,不同的扩增子序列变体(ASVs)在碳源偏好和反硝化能力方面也表现出明显差异。这些发现有望为污水处理厂的碳源配方制定和选择提供帮助。