Antibiotics shape the core microbial community distribution between floc and biofilm in an endogenous partial denitrification system: Insight from metabolic pathway

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-07-15 Epub Date: 2025-03-12 DOI:10.1016/j.watres.2025.123491
Kai-Yue Dong, Chao-Xi Yang, Jin-Luo Pang, Rong-Rong Chang, Ke-Yu Chen, Wei Yao, Bao-Cheng Huang, Ren-Cun Jin
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Abstract

The response mechanism of microorganisms in partial denitrification (PD) system under antibiotic stress, particularly microbial energy metabolism and electron transfer, remain inadequately understood. This knowledge gap hinders the establishment of ecological links between microbial dynamics and macro-level reactor performance. To address this, moving bed biofilm reactors were employed to investigate the dynamic changes of microbial community and metabolism under sulfadiazine (SDZ) and ciprofloxacin (CIP) stress. Results showed that dosing 2 mg/L SDZ or CIP accelerated nitrite accumulation, achieving this milestone 15 days earlier than in the control group. At the end of the operational phase, nitrate removal efficiencies reached 90.3 ± 18.3 % (Control), 83.5 ± 16.2 % (SDZ-treated) and 93.9 ± 12.4 % (CIP-treated), with nitrate-to nitrite-transformation rates of 61.3 ± 12.7 %, 65.6 ± 13.1 % and 58.0 ± 21.2 %, respectively. The abundances of energy supply related genes, i.e., sucC and PK were higher in the CIP-treated group, while those in the other two groups were similar. The promoted tricarboxylic acid cycle and glycolysis led to NADH and ATP accumulation, accelerating nitrogen metabolism and benefiting early nitrite accumulation in the antibiotic-stressed system. More importantly, increasing antibiotics concentration from 2 mg/L to 4 mg/L induced selective migration of Thauera from floc to biofilm (abundance in floc reduced to < 2.01 %). Metagenomic sequencing indicated that the higher abundance of narGHI in biofilms, compared to flocs, was crucial for maintaining stable PD performance under antibiotic stress. The electron transport related genes, such as IDH1, DLD and DLAT, were more abundant in biofilms than in flocs after SDZ and CIP addition. These findings provide a theoretical basis for understanding the response mechanism of PD consortia to antibiotic.

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抗生素塑造了内源性部分反硝化系统中絮凝体和生物膜之间的核心微生物群落分布:来自代谢途径的见解
部分反硝化(PD)系统中微生物在抗生素胁迫下的反应机制,特别是微生物的能量代谢和电子转移,目前尚不清楚。这种知识差距阻碍了微生物动力学和宏观水平反应器性能之间生态联系的建立。为了解决这一问题,采用移动床生物膜反应器研究了磺胺嘧啶(SDZ)和环丙沙星(CIP)胁迫下微生物群落和代谢的动态变化。结果显示,剂量为2mg /L的SDZ或CIP加速了亚硝酸盐的积累,比对照组提前15天达到这一里程碑。运行结束时,硝酸盐去除率分别为90.3±18.3%(对照组)、83.5±16.2% (sdz处理组)和93.9±12.4% (cip处理组),硝酸盐转化为亚硝酸盐的转化率分别为61.3±12.7%、65.6±13.1%和58.0±21.2%。能量供应相关基因,即sucC和PK的丰度在cip处理组较高,而其他两组相似。促进三羧酸循环和糖酵解导致NADH和ATP积累,加速氮代谢,有利于抗生素应激系统早期亚硝酸盐积累。更重要的是,将抗生素浓度从2 mg/L增加到4 mg/L,可诱导Thauera从絮凝体向生物膜的选择性迁移(絮凝体中的丰度降低至<;2.01%)。宏基因组测序表明,与絮凝体相比,生物膜中较高的narGHI丰度对于在抗生素胁迫下维持稳定的PD性能至关重要。添加SDZ和CIP后,生物膜中与电子传递相关的基因IDH1、DLD和DLAT含量高于絮凝体。这些发现为了解PD菌群对抗生素的反应机制提供了理论基础。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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