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The unexpected role of aged microplastics in inhibiting antibiotic resistance gene spread 老化微塑料在抑制抗生素耐药基因传播中的意外作用
IF 8.2 2区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-01 Epub Date: 2025-12-08 DOI: 10.1016/j.wroa.2025.100464
Chaoran Li , Yelong He , Qifan Zhang , Lin Zhao , Zhonglai Zhou , Yuxiu Zhang , Pengpeng Yu , Min Xu
Microplastics (MPs) are known to promote the spread of antibiotic resistance genes (ARGs) through biofilm formation, pollutant co-selection, and enhanced horizontal gene transfer (HGT). However, emerging evidence suggests that aged microplastics (A-MPs) may, under certain conditions, exert inhibitory effects via two coupled mechanisms: radical-mediated suppression of cellular and extracellular DNA, and plasmid-level interference with replication and transfer. Photo-oxidative aging introduces oxygen-containing functional groups and enables the surface generation of environmentally persistent free radicals (EPFRs) and reactive oxygen species (ROS), especially hydroxyl radicals (•OH). These reactive intermediates can damage cell membranes, inhibit biofilm formation, and fragment extracellular DNA, reducing conjugation and transformation frequencies. Meanwhile, nanoscale or highly concentrated A-MPs can suppress plasmid replication, particularly of low-copy plasmids, and hinder donor. recipient contact through aggregation and spatial hindrance, thereby decreasing HGT efficiency. A concentration–size–replication relationship reconciles the duality of observed effects: smaller or low-dose MPs may transiently enhance permeability and uptake, whereas higher radical fluxes and aggregation shift systems toward inhibition. This review consolidates current evidence and proposes that the oxidative microenvironments associated with aged microplastics may indirectly constrain ARG dissemination, providing a new hypothesis and research direction for understanding their ecological role in antibiotic resistance dynamics.
已知微塑料(MPs)通过生物膜形成、污染物共选择和增强水平基因转移(HGT)促进抗生素抗性基因(ARGs)的传播。然而,越来越多的证据表明,老化的微塑料(A-MPs)可能在一定条件下通过两种耦合机制发挥抑制作用:自由基介导的细胞和细胞外DNA的抑制,以及质粒水平对复制和转移的干扰。光氧化老化引入含氧官能团,使表面产生环境持久性自由基(EPFRs)和活性氧(ROS),特别是羟基自由基(•OH)。这些反应性中间体可以破坏细胞膜,抑制生物膜的形成,破坏细胞外DNA,降低偶联和转化频率。同时,纳米级或高浓度的A-MPs可以抑制质粒的复制,特别是低拷贝质粒的复制,并阻碍供体。受体通过聚集和空间阻碍接触,从而降低HGT效率。浓度-大小-复制关系调和了观察到的双重效应:较小或低剂量的MPs可能会暂时增强渗透性和摄取,而较高的自由基通量和聚集使系统转向抑制。本文综合现有证据,提出与老化微塑料相关的氧化微环境可能间接限制ARG的传播,为理解其在抗生素耐药动力学中的生态作用提供了新的假设和研究方向。
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引用次数: 0
Time series foundation model chronos enhances nitrogen forecasting under data scarcity 时间序列基础模型chronos增强了数据稀缺条件下的氮预测能力
IF 8.2 2区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-01 Epub Date: 2025-12-14 DOI: 10.1016/j.wroa.2025.100469
Kaifeng Zheng , Guotao Cui , Yi Xie , Yimei Liu , Xinzhong Du
Accurate water quality prediction is critical for water resource management, yet task-specific models are often limited by their reliance on extensive training data. The emergence of large time series foundation models presents a promising yet unexplored solution for water quality forecasting under data scarcity. This study evaluates Chronos, an advanced time series foundation model using the T5 large language model (LLM), against a suite of task-specific benchmark models (i.e., RF, MLP, LSTM, Transformer, XGBoost, LightGBM, KAN, PatchTST, and Crossformer). We evaluated their performances in predicting total nitrogen (TN) at 12 stations in the Huang-Huai-Hai River basin of China under varying data availability ratios (20%-100%) and different forecast ahead times (4-48 hours). Adapting the Chronos model with station-specific data (i.e., fine-tuning) yields superior performance compared to using the model’s general, pre-trained capabilities directly (i.e., zero-shot). Fine-tuned Chronos consistently outperformed benchmark models when trained on less than 60% of available data across all ahead times, though LSTM and PatchTST achieved comparable or superior performance with sufficient training data (≥80%), particularly for medium-to-low complexity sequences. The model showed its greatest performance advantage at high-complexity stations and during peak pollution events, maintaining superiority regardless of data availability. Through transfer learning, fine-tuned Chronos achieved cross-station generalization superior to other benchmark models, and we found this transferability is dictated by water-quality-data complexity. This study first evaluated the large time series foundation models as a powerful and data-efficient tool for environmental science, poised to remarkably improve pollution prediction and water resource management, especially in data-scarce regions.
准确的水质预测对水资源管理至关重要,但特定任务的模型往往由于依赖广泛的训练数据而受到限制。大时间序列基础模型的出现为数据稀缺下的水质预测提供了一个有前景但尚未探索的解决方案。本研究使用T5大型语言模型(LLM)对Chronos,一种先进的时间序列基础模型,与一套特定任务的基准模型(即RF, MLP, LSTM, Transformer, XGBoost, LightGBM, KAN, PatchTST和Crossformer)进行了评估。在不同数据可用比(20% ~ 100%)和不同预报提前时间(4 ~ 48 h)下,对黄淮海流域12个站点的总氮(TN)进行了预测。与直接使用模型的一般预训练功能(即零射击)相比,使用特定站点的数据(即微调)调整Chronos模型可以产生更好的性能。虽然LSTM和PatchTST在训练数据充足(≥80%)的情况下取得了相当或更好的性能,特别是在中低复杂度序列上,但经过微调的Chronos在训练数据不足60%的情况下始终优于基准模型。该模型在高复杂性台站和污染高峰期间表现出最大的性能优势,无论数据是否可用都保持优势。通过迁移学习,微调后的Chronos实现了优于其他基准模型的跨站泛化,我们发现这种可转移性是由水质数据的复杂性决定的。本研究首先评价了大时间序列基础模型作为一种强大的、数据高效的环境科学工具,有望显著改善污染预测和水资源管理,特别是在数据稀缺地区。
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引用次数: 0
Membrane biofilm reactor (MBfR) enabling optimal H2 delivery and supporting minimal nutrient supplementation to hydrogenotrophic biofilms 膜生物膜反应器(MBfR)能够实现最佳的H2输送,并支持向氢营养生物膜补充最少的营养
IF 8.2 2区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-01 Epub Date: 2026-02-05 DOI: 10.1016/j.wroa.2026.100507
Shih-Hsuan Lin , Philipp Kuntke , Sanne M. de Smit , Hubertus V.M. Hamelers , Maria Cristina Gagliano
The hydrogenotrophic conversion of carbon dioxide (CO2) and hydrogen (H2) gases to methane (CH4), presents a viable alternative to fossil-based natural gas. While different bioreactors have been investigated, the key challenge in these systems is overcoming mass transfer limitations of H2 to hydrogenotrophic archaea due to its low solubility. Ideally, optimal H2 bioavailability is achieved at thermophilic temperatures, directly feeding the gas to the biomass. In this study, a membrane biofilm reactor (MBfR) with gas-permeable polydimethylsiloxane (PDMS) membranes was designed to support methanogenic biofilm formation and enhance CO2 and H2 conversion under minimal mixing conditions, in a closed-loop and without additional nutrients supplementation. Over the 437-day operation, a thick, proteins-rich biofilm developed on the membrane. High-purity methane (≈95 %) was produced, and a >95 % conversion efficiency to methane was achieved for CO2 and H2. The MBfR sustained high methane production 397 days without additional nutrient supply, and reach the highest methane production rate of 24.3 L·m-2·day-1 after trace element supplementation, likely replenishing molybdenum. In both biofilm and mixed liquor, the microbial community was dominated by the hydrogenotrophic methanogen Methanothermobacter together with a new Hydrothermae spp. bacterium, likely utilizing H2 and CO2 for homoacetogenesis and/or fermenting detrital biomass. The stable microbial community functions ensured a complete anaerobic digestion metabolic chain, allowing for nutrients recycling and metals mobilization. The MBfR design presented in this study offers a promising strategy for scalable, energy-efficient biological methanation optimizing H2 utilization with minimal nutrient input.
将二氧化碳(CO2)和氢气(H2)气体转化为甲烷(CH4)是替代化石天然气的一种可行方法。虽然已经研究了不同的生物反应器,但这些系统的关键挑战是克服H2对氢营养古菌的传质限制,因为它的溶解度低。理想情况下,最佳的H2生物利用度是在亲热温度下实现的,直接将氢气供给生物质。在本研究中,设计了一个膜生物膜反应器(MBfR),该反应器采用透气性聚二甲基硅氧烷(PDMS)膜,以支持产甲烷生物膜的形成,并在最小的混合条件下,在闭环中提高CO2和H2的转化,无需额外的营养补充。在437天的手术中,细胞膜上形成了一层厚厚的富含蛋白质的生物膜。产高纯度甲烷(≈95%),CO2和H2转化为甲烷的效率达到95%。在不补充营养的情况下,MBfR的高产甲烷持续了397 d,添加微量元素后的最高甲烷产量为24.3 L·m-2·d -1,可能是补充了钼。在生物膜和混合液中,微生物群落以产氢产甲烷菌(Methanothermobacter)和一种新的产氢菌(Hydrothermae spp.)为主,可能利用H2和CO2进行同质发酵和/或发酵碎屑生物质。稳定的微生物群落功能确保了一个完整的厌氧消化代谢链,允许养分循环和金属动员。本研究提出的MBfR设计提供了一种有前景的策略,可以在最小的养分投入下优化氢气利用,实现可扩展、节能的生物甲烷化。
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引用次数: 0
Fusing multi-dimensional features with heterogeneous deep learning for robust dissolved oxygen prediction and control-oriented regulation analysis in complex lakes 基于异构深度学习的复杂湖泊溶解氧鲁棒预测与控制调控分析
IF 8.2 2区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-01 Epub Date: 2026-01-26 DOI: 10.1016/j.wroa.2026.100501
Mengyao An , Qiang Liu , Zhaocai Wang , Yecang Chen
Dissolved oxygen (DO) is a fundamental indicator for aquatic ecological health and algal bloom early warning. To address the limitations of existing models in capturing multi-scale features and their reliance on empirical parameter tuning, this study proposes a novel integrated framework. First, a four-dimensional feature system incorporating target, peripheral, upstream, and meteorological variables is constructed. Second, the original DO series is decomposed into long-term trends and short-term fluctuations using Variational Mode Decomposition (VMD) and Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN). An Improved Dung Beetle Optimization algorithm (IDBO) automatically optimizes the hyperparameters of VMD and the subsequent Convolutional Neural Network (CNN). The model employs a heterogeneous architecture where CNN extracts localized short-term features and an Improved Transformer (iTransformer) captures long-term dependencies. Experimental results at Lake Taihu and Dongting Lake sites demonstrate superior performance, with R² values reaching 0.9968 and 0.9942, significantly outperforming baseline models. Ablation studies confirm the substantial contributions of dual-modal decomposition and IDBO optimization. Furthermore, a stair-step water temperature control-oriented mechanism is established as a model-driven hypothetical control strategy, which proactively modulates DO levels by introducing a constant C. Setting C = 3 significantly increased the appropriate DO compliance rates from 30.3% and 74.7% to 61.9% and 97.2% at the two sites, respectively. This research provides a reliable closed-loop control-oriented technical pathway from precise prediction to active management for lake water quality, with the control-oriented mechanism based on the significant associative relationship between water temperature and DO rather than formal statistical causal inference.
溶解氧(DO)是水体生态健康和藻华预警的基本指标。为了解决现有模型在捕获多尺度特征方面的局限性以及它们对经验参数调整的依赖,本研究提出了一个新的集成框架。首先,构建了包含目标变量、周边变量、上游变量和气象变量的四维特征体系。其次,利用变分模态分解(VMD)和带自适应噪声的完全集合经验模态分解(CEEMDAN)将原始DO序列分解为长期趋势和短期波动。一种改进的屎壳虫优化算法(IDBO)自动优化VMD的超参数和后续的卷积神经网络(CNN)。该模型采用异构架构,其中CNN提取局部短期特征,改进的变压器(ittransformer)捕获长期依赖关系。太湖和洞庭湖试验点的R²值分别达到0.9968和0.9942,显著优于基线模型。烧蚀研究证实了双峰分解和IDBO优化的重要贡献。建立了以阶梯水温控制为导向的模型驱动的假设控制策略,通过引入恒定的C来主动调节DO水平。当C = 3时,两个试验点的DO合规率分别从30.3%和74.7%显著提高到61.9%和97.2%。本研究为湖泊水质从精确预测到主动管理提供了一条可靠的闭环控制技术路径,其控制机制基于水温与DO之间的显著关联关系,而非形式化的统计因果推断。
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引用次数: 0
Optimization framework for urban flood mitigation strategies considering collaborative drainage mechanisms 考虑协同排水机制的城市防洪策略优化框架
IF 8.2 2区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-01 Epub Date: 2025-12-23 DOI: 10.1016/j.wroa.2025.100474
Qiang Liu , Fengjiao Zhao , Chuanxing Zheng , Jijian Lian , Zhixiang Da , Maozhi Duan
With rapid urbanization, urban flooding has become increasingly severe, challenging conventional drainage systems. This study proposes an optimization framework for collaborative urban drainage that integrates Urban Micro-Watercourses (UMW), Low Impact Development (LID) facilities, and conventional drainage networks into a unified multi-level regulation system. The framework consists of two core modules: (1) an intelligent optimization module for LID facility planning, automatically determining optimal allocation ratios to maximize hydrological control; and (2) a layout optimization module for UMW, dynamically refining the spatial configuration of UMW networks to enhance collaborative drainage capacity. By establishing coordinated coupling among LID facilities, UMW networks, and conventional drainage systems, the framework enables integrated operation and resource sharing across subsystems, improving overall system performance and resilience. The parallelized framework led to a 46.8-fold increase in LID optimization efficiency and a 192.3-fold increase in UMW optimization efficiency. A case study in the Fangzhuang area of Beijing, under extreme rainfall scenarios with 5-, 10-, and 50-year return periods, showed total accumulated water volume reduced by 51.2 %–68.1 % and overflow points decreased by 18.1 %–73.3 %. Compared with the optimal LID scheme, the UMW–LID–pipe network coupling further reduced water volume by 7.85 %–21.77 % and overflow points by up to 64.94 %, substantially alleviating pressure on drainage infrastructure. The results demonstrate that the proposed framework provides an innovative and scalable approach for sustainable urban stormwater management and flood resilience.
随着城市化的快速发展,城市洪水日益严重,对传统的排水系统构成了挑战。本研究提出了一个协同城市排水的优化框架,该框架将城市微水道(UMW)、低影响开发(LID)设施和传统排水网络整合为一个统一的多层次调节系统。该框架包括两个核心模块:(1)LID设施规划智能优化模块,自动确定最优配置比例,实现水文控制最大化;(2) UMW布局优化模块,动态细化UMW网络空间配置,增强协同排水能力。通过在LID设施、UMW网络和传统排水系统之间建立协调耦合,该框架可以实现子系统之间的集成操作和资源共享,从而提高整体系统性能和弹性。并行化框架使LID优化效率提高46.8倍,UMW优化效率提高192.3倍。以北京方庄地区为例,在5年、10年和50年极端降水情景下,累计水量减少了51.2% ~ 68.1%,溢流点减少了18.1% ~ 73.3%。与最优LID方案相比,umw - LID -管网耦合进一步减少了7.85% - 21.77%的水量和64.94%的溢流点,大大减轻了排水基础设施的压力。结果表明,所提出的框架为可持续城市雨水管理和洪水抵御能力提供了一种创新和可扩展的方法。
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引用次数: 0
Tiered genotoxicity testing of enriched river water samples using zebrafish in vitro and in vivo models: A Joint Danube Survey 4 case study 利用斑马鱼体外和体内模型对富营养化河水样本进行分层遗传毒性测试:联合多瑙河调查4案例研究
IF 8.2 2区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-01 Epub Date: 2026-01-07 DOI: 10.1016/j.wroa.2026.100488
Margareta Kračun-Kolarević , Bojana Žegura , Katja Kološa , Jovana Jovanović Marić , Andrea Novaković , Peter Oswald , Martina Oswaldova , Jaroslav Slobodnik , Nikiforos Alygizakis , Momir Paunović , Marija Ilić , Branka Vuković-Gačić , Stoimir Kolarević
The increasing complexity of aquatic pollution, dominated by diverse and often uncharacterized chemical mixtures, challenges traditional monitoring approaches. In this study, we assessed the genotoxic potential of surface water samples collected during the Joint Danube Survey 4 (JDS4) using large-volume solid-phase extraction (LVSPE) combined with a comprehensive battery of bioassays. Twenty-three enriched water samples from the Danube River and its major tributaries were evaluated for genotoxicity using a tiered testing strategy comprising the SOS/umuC assay, zebrafish liver (ZFL) cell-based assays (cytotoxicity, comet assay, cell cycle), and zebrafish embryo assays. While no genotoxicity was detected in the prokaryotic SOS/umuC assay, ZFL assays revealed significant DNA damage in 16 out of 23 samples, with notable genotoxicity observed in samples from the middle Danube section. In contrast, no teratogenic effects were observed in zebrafish embryo assays at concentrations up to REF100. These findings demonstrate the superior sensitivity of ZFL cells compared to both prokaryotic and in vivo embryo models. The study also highlights a critical gap in available genotoxicity data for detected substances, emphasizing the need for standardized databases and testing frameworks. Overall, our results support zebrafish-based in vitro assays as effective tools for effect-based monitoring, providing early warnings of genotoxic pollution in complex aquatic environments.
水生污染的复杂性日益增加,主要是各种各样的,往往是没有特征的化学混合物,挑战了传统的监测方法。在这项研究中,我们使用大体积固相萃取(LVSPE)结合一系列综合生物测定方法,评估了多瑙河联合调查4 (JDS4)期间收集的地表水样品的遗传毒性潜力。采用分层测试策略对来自多瑙河及其主要支流的23个富集水样进行遗传毒性评估,该测试策略包括SOS/umuC试验、基于斑马鱼肝脏(ZFL)细胞的试验(细胞毒性、彗星试验、细胞周期)和斑马鱼胚胎试验。虽然在原核生物SOS/umuC实验中未检测到遗传毒性,但ZFL实验显示,23个样本中有16个样本存在明显的DNA损伤,在多瑙河中段的样本中观察到明显的遗传毒性。相比之下,在浓度高达REF100的斑马鱼胚胎试验中未观察到致畸效应。这些发现表明,与原核和体内胚胎模型相比,ZFL细胞具有更高的敏感性。该研究还强调了在检测到的物质的现有遗传毒性数据方面存在的严重差距,强调需要标准化数据库和测试框架。总的来说,我们的研究结果支持斑马鱼体外检测作为有效的监测工具,在复杂的水生环境中提供基因毒性污染的早期预警。
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引用次数: 0
Depth-partitioned nitrogen uptake sustained by ammonium in a nitrate-rich reservoir 富硝酸盐储层中由铵维持的深度分割氮吸收
IF 8.2 2区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-01 Epub Date: 2026-02-05 DOI: 10.1016/j.wroa.2026.100508
Moyang Li , Xiaoyu Guo , Zifu Xu , Xianhui S. Wan , Lianghao Ge , Wenbin Zou , Jun Yang , Li-Li Han , Min Xu , Shuh-Ji Kao
Thermal stratification in inland waters creates pronounced physicochemical gradients, yet a quantitative, depth-resolved understanding of how these gradients regulate nitrogen (N) dynamics remains lacking. Here, we conducted a two-year, depth-resolved study in a subtropical reservoir, quantifying uptake of ammonium (NH4+), nitrate (NO3-), and urea using the 15N tracer labeling technique. Although NO3- is the dominant component of the dissolved inorganic nitrogen (DIN) pool in the euphotic zone, NH4+ consistently sustained the majority of N assimilation, exceeding NO3- and urea uptake by approximately 7- and 11-fold, respectively, resulting in rapid NH4+ turnover (median τ≈4 days). Vertically, we observed a distinct three-layer structure of nitrogen assimilation along the light gradient: (1) phytoplankton preferentially utilized NH4+ and urea under high irradiance in the surface layer; (2) NO3- uptake peaked near the base of the euphotic zone, likely associated with low-light adapted diatoms; and (3) in the aphotic layer, substantial NH4+ assimilation persisted but decoupled from carbon fixation, indicating NH4+ consumption by heterotrophs. Our results provide a quantitative framework that refines our current view of nitrogen cycling in stratified inland waters and challenges concentration-based views of nutrient limitation. We demonstrate that effective management of eutrophication in stratified systems must account for N speciation, vertical stratification, and the distinct roles of autotrophic and heterotrophic communities.
内陆水域的热分层产生了明显的物理化学梯度,但对这些梯度如何调节氮(N)动力学的定量、深度理解仍然缺乏。在这里,我们在亚热带水库进行了为期两年的深度分辨研究,使用15N示踪标记技术量化铵(NH4+),硝酸盐(NO3-)和尿素的吸收。虽然NO3-是光合区溶解无机氮(DIN)池的主要成分,但NH4+持续维持大部分N同化,分别超过NO3-和尿素吸收约7-和11倍,导致NH4+快速周转(中位数τ≈4天)。在垂直方向上,浮游植物的氮同化沿光梯度呈明显的三层结构:(1)在高辐照条件下,浮游植物优先利用表层NH4+和尿素;(2) NO3-吸收在光带底部附近达到峰值,可能与适应弱光的硅藻有关;(3)在无氧层,大量的NH4+同化持续存在,但与碳固定分离,表明异养生物消耗了NH4+。我们的研究结果提供了一个定量框架,完善了我们目前对分层内陆水域氮循环的看法,并挑战了基于浓度的营养限制观点。我们证明,在分层系统中,富营养化的有效管理必须考虑到N物种形成、垂直分层以及自养和异养群落的不同作用。
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引用次数: 0
Hydro-environmental and ecological effects of drop structure in urban river system 城市水系落点结构的水文环境生态效应
IF 8.2 2区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-01 Epub Date: 2026-02-23 DOI: 10.1016/j.wroa.2026.100515
Jiajie Su , Dantong Zhu , Jiaxing Zeng , Zhuoyin Lu , Shoushu Liu , Saiyu Yuan , Xianglong Wei , Hongwu Tang , Xiangju Cheng
Drop structures are common in urban rivers, yet their ecological effects on sedimentary bacterial communities insufficiently resolved. We investigated nine artificial units (single- and dual-drop configurations) along the urbanized Yangmei River, China. Using 16S rRNA sequencing, co-occurrence networks, assembly modeling, and PICRUSt2 functional inference, and we evaluated microbial diversity, interaction architecture, assembly mechanisms, and N/P-cycling potential. The Mantel test results indicated a significant correlation between water flow velocity downstream of the drop structure and the benthic microbial community (p < 0.05). Downstream networks were more connected but less modular and contained fewer keystone taxa, indicating higher interaction complexity yet lower compartmentalization and, by inference, reduced stability to disturbance. Stochastic processes overall dominated community assembly; in sediments, dispersal limitation prevailed but weakened downstream, where homogeneous selection increased, consistent with enhanced mixing across the drop. Functional profiles suggested a systematic rise in nitrification potential downstream in both configurations, with stronger gains in dual-drop units, whereas gene sets associated with DNRA and nitrogen fixation generally declined; phosphorus-cycling markers were comparatively insensitive. In single-drop reaches, a lower (nirK + nirS)/ nosZ ratio pointed to a reduced propensity for N2O accumulation. These patterns indicate that drop structures can restructure sediment microbiomes and shift N-cycle potentials toward nitrification, potentially elevating nitrate accumulation risks under sustained nutrient loading, while possibly limiting N2O buildup in certain settings. As gene imprints reflect potential rather than process rates, targeted assays are warranted to quantify biogeochemical outcomes and inform eco-hydraulic design.
水滴结构在城市河流中很常见,但其对沉积细菌群落的生态影响尚未得到充分解决。本文研究了中国杨梅河沿岸的9个人工单元(单滴和双滴配置)。利用16S rRNA测序、共现网络、装配建模和PICRUSt2功能推断,我们评估了微生物多样性、相互作用结构、装配机制和N/ p循环潜力。Mantel试验结果表明,水滴结构下游水流速度与底栖微生物群落呈显著相关(p < 0.05)。下游网络连接程度较高但模块化程度较低,包含的关键类群较少,表明相互作用复杂性较高但区隔性较低,由此推断,对干扰的稳定性降低。随机过程总体上支配着群落聚集;在沉积物中,扩散限制占主导地位,但在下游减弱,在那里均匀选择增加,与跨滴增强的混合一致。功能分析表明,在这两种配置中,下游的硝化潜力都有系统的上升,双滴单元的收益更大,而与DNRA和固氮相关的基因集普遍下降;磷循环标记相对不敏感。在单滴河段,较低的(nirK + nirS)/ nosZ比值表明N2O积累倾向降低。这些模式表明,液滴结构可以重构沉积物微生物群,并将n循环电位转向硝化作用,在持续养分负荷下可能提高硝酸盐积累风险,同时可能限制某些环境下N2O的积累。由于基因印记反映的是潜力而不是过程速率,因此有针对性的分析可以量化生物地球化学结果并为生态水力设计提供信息。
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引用次数: 0
Genomic surveillance of ESBL-producing Escherichia coli from community wastewater in São Tomé and Príncipe <s:1> o tom<e:1>和Príncipe社区废水中产esbl大肠杆菌的基因组监测
IF 8.2 2区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-01 Epub Date: 2026-02-18 DOI: 10.1016/j.wroa.2026.100512
Madeleine Wesche , Adjaia Borges , Anabela Gonçalves , Asmiralda Santos , Barbara Simões , Nilton Teixeira , Anery Katia Lima , Lazismino Lázaro , Thorsten Thye , Doris Winter , Marcos do Nascimento , Jürgen May , Rosa Maria Afonso Neto , Katia Toancha , Yardlene Sacramento Sequeira , Kathrin Schuldt
The emergence and increasing spread of Escherichia coli producing extended-spectrum β-lactamase (ESBL) in water reservoirs poses a significant public health threat, particularly in low-resource settings. In this study 115 ESBL-producing E. coli (ESBL-Ec) were isolated from six community wastewater sites in São Tomé city and analyzed by long-read whole genome sequencing and bioinformatic tools. With a median read length of 2 kb and a median coverage of 76x, this approach yielded high-quality genome assemblies and associated plasmids, allowing in-depth analyses of antibiotic resistance genes (ARGs), virulence-associated genes, pathotypes, mobile genetic elements and the phylogenetic relationship of the isolates. 34% (39/115) of the bacterial isolates were known E. coli pathotypes and 22% (25/115) were found to be multidrug-resistant, including the emerging global high-risk clones ST131 and ST1193. The most frequent ARGs identified were blaCTX-M-15 in 80%, gyrA p.S83L in 57%, and sul2 in 54% of the ESBL-Ec isolates. Notably, ten of the 12 ESBL-encoding genes present in our data set were only plasmid-coded, highlighting the presence of highly mobile resistance genes in the aquatic environment. The phylogenetic analysis revealed a high genetic diversity, indicating a vast prevalence of ESBL-Ec from different sources in community wastewater in São Tomé. Our research highlights the importance of a comprehensive monitoring and management approach involving all sectors, the clinical, animal, and environmental sector to limit the spread of antibiotic resistance in areas lacking a formal sewage infrastructure.
水库中产生广谱β-内酰胺酶(ESBL)的大肠杆菌的出现和日益蔓延构成了重大的公共卫生威胁,特别是在资源匮乏的环境中。本研究从 o tom市的6个社区污水中分离出115株产esbl的大肠杆菌(ESBL-Ec),并利用长读全基因组测序和生物信息学工具对其进行了分析。该方法中位读取长度为2 kb,中位覆盖率为76x,获得了高质量的基因组组合和相关质粒,可以深入分析抗生素抗性基因(ARGs)、毒力相关基因、病原、可移动遗传元件和分离株的系统发育关系。34%(39/115)的细菌分离株为已知的大肠杆菌病原型,22%(25/115)被发现具有多重耐药,包括新出现的全球高风险克隆ST131和ST1193。最常见的ARGs是blaCTX-M-15 (80%), gyrA p.S83L(57%)和sul2(54%)。值得注意的是,在我们的数据集中存在的12个esbl编码基因中,有10个仅为质粒编码,突出了水生环境中高流动性抗性基因的存在。系统发育分析显示,ESBL-Ec具有较高的遗传多样性,表明来自不同来源的ESBL-Ec在 o tom社区废水中广泛流行。我们的研究强调了全面监测和管理方法的重要性,涉及所有部门,临床,动物和环境部门,以限制抗生素耐药性在缺乏正式污水基础设施的地区的传播。
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引用次数: 0
Dual-Anode electrochemical strategy enabling struvite-based nutrient recovery coupled with antibiotic degradation 双阳极电化学策略使鸟粪石为基础的营养回收与抗生素降解耦合
IF 8.2 2区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Pub Date : 2026-01-01 Epub Date: 2026-01-27 DOI: 10.1016/j.wroa.2026.100503
Xin Zhang , Runhua Wang , Yang Lei
Livestock wastewater typically contains high concentrations of nutrients and antibiotics that are difficult to remove, posing serious environmental risks. This study proposed a dual-anode electrochemical system (DA-EMSP), which simultaneously integrates a boron-doped diamond (BDD) anode for sulfadiazine (SD) degradation and a sacrificial magnesium (Mg) anode for struvite precipitation. The DA-EMSP system achieved 58.8% SD degradation and 98% phosphorus (P) recovery within 72 min of operation. However, the in-situ formation of struvite was found to hinder SD degradation efficiency, likely due to the adsorption and physical shielding of SD by the struvite precipitates. To address this, a multi-stage operation strategy was developed to conduct oxidation and precipitation sequentially. The results revealed that sequential oxidation followed by precipitation (Seq-O/P) achieved the highest SD degradation efficiency (77.6%) while maintaining complete P recovery (100%). Further analysis showed that increasing the BDD current significantly improved SD degradation (up to 93%) without significantly impacting bulk pH or Mg²⁺ release. With flexible circuit control and dual-functionality, the DA-EMSP system demonstrates strong potential as a post-treatment strategy for livestock wastewater containing both antibiotics and nutrient pollutants.
牲畜废水通常含有高浓度的营养物和抗生素,难以去除,构成严重的环境风险。本研究提出了一种双阳极电化学系统(DA-EMSP),该系统同时集成了一个用于磺胺嘧啶(SD)降解的掺硼金刚石(BDD)阳极和一个用于鸟粪石沉淀的牺牲镁(Mg)阳极。DA-EMSP系统在72分钟内实现了58.8%的SD降解和98%的磷(P)回收率。然而,发现鸟粪石的原位形成阻碍了SD的降解效率,这可能是由于鸟粪石沉淀对SD的吸附和物理屏蔽。为了解决这个问题,开发了一种多阶段操作策略,依次进行氧化和沉淀。结果表明,顺序氧化-沉淀法(Seq-O/P)在保持磷完全回收率(100%)的情况下,对SD的降解效率最高(77.6%)。进一步的分析表明,增加BDD电流可以显著改善SD降解(高达93%),而不会显著影响体pH或Mg 2⁺的释放量。DA-EMSP系统具有灵活的电路控制和双重功能,具有很强的潜力,可以作为含有抗生素和营养性污染物的牲畜废水的后处理策略。
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引用次数: 0
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Water Research X
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