Tiwari Ananda, Jaén-Gil Adrián, Karavaeva Anastasia, Gomiero Alessio, Ásmundsdóttir Ásta Margrét, Silva Maria João, Salmivirta Elisa, Tran Tam T, Sarekoski Anniina, Cook Jeremy, Lood Rolf, Pitkänen Tarja, Krolicka Adriana
Finnish Institute for Health and Welfare, Department of Public Health, Microbiology Unit, 70701, Kuopio, Finland; Department of Food Hygiene and Environmental Health, Faculty of Veterinary Medicine, University of Helsinki, Finland.
Norwegian Research Centre AS (NORCE), Nygårdstangen, 5838, Bergen, Norway.
Environ Res. 2025 Aug 19;285(Pt 5):122629. doi: 10.1016/j.envres.2025.122629.
Monitoring antimicrobial resistance genes (ARGs) in wastewater influents (pre-treatment) and effluents (post-treatment) provides insights into community-level circulation, potential amplification during treatment, and risks associated with gene release into surface waters. Pollutants such as antibiotic residues and microplastics (MPs) may influence ARG dynamics, highlighting the need to assess their dynamics across wastewater environments. In this study, we analyzed ARGs and bacterial communities using Oxford Nanopore (ONP) metagenomics and qPCR in wastewater samples from Mekjarvik (Norway), Reykjavik (Iceland), and Mariehamn (Åland, Finland). Antibiotic residues were quantified via high-performance liquid chromatography (HPLC), and MPs were characterized using micro-fourier transform infrared spectroscopy (μ-FTIR) in Mekjarvik and Reykjavik. Metagenomic analysis identified 193 unique ARGs, with the highest average (±SD) in Reykjavik (66.3 ± 4.1), followed by Mekjarvik (61.3 ± 14.1) and Mariehamn (18.0 ± 2.2). ONP sequencing revealed that many ARGs were plasmid-associated, co-occurring with metal stress genes. Common plasmids were Col440I, IncQ2, and ColRNAI. Mercury-related genes dominated metal stress genes (64.9 %), followed by multimetal (23.7 %) and copper (6.4 %). Of 45 antibiotics screened, only sulfamethoxazole and sulfapyridine were consistently detected. Polyethylene (∼60 %) was the dominant MP type; Reykjavik influent had the highest MP load (8200 MP/m). While treatment reduced ARGs, antibiotic residues, and larger MPs, it was less effective against fine particles and key ARGs, including carbapenemase- and ESBL-associated genes. Clinically relevant ARGs and potential pathogens (e.g., Acinetobacter baumannii, Pseudomonas aeruginosa) persisted in effluents, highlighting risks to downstream ecosystems. These findings underscore the need for regular monitoring of both influents and effluents to assess treatment performance and safeguard environmental health.
监测废水进水(预处理)和出水(后处理)中的抗菌抗性基因(ARG),有助于了解社区层面的循环情况、处理过程中的潜在扩增以及基因释放到地表水所带来的风险。抗生素残留和微塑料(MP)等污染物可能会影响ARG动态,这凸显了评估其在整个废水环境中动态变化的必要性。在本研究中,我们使用牛津纳米孔(ONP)宏基因组学和定量聚合酶链反应(qPCR)对来自挪威的梅克亚维克、冰岛的雷克雅未克以及芬兰奥兰群岛的玛丽港的废水样本中的ARG和细菌群落进行了分析。通过高效液相色谱(HPLC)对抗生素残留进行定量,并使用微傅里叶变换红外光谱(μ-FTIR)对梅克亚维克和雷克雅未克的MP进行表征。宏基因组分析确定了193种独特的ARG,其中雷克雅未克的平均数量(±标准差)最高(66.3±4.1),其次是梅克亚维克(61.3±14.1)和玛丽港(18.0±2.2)。ONP测序显示,许多ARG与质粒相关,与金属应激基因共同出现。常见的质粒有Col440I、IncQ2和ColRNAI。与汞相关的基因在金属应激基因中占主导地位(64.9%),其次是多金属(23.7%)和铜(6.4%)。在筛选的45种抗生素中,仅持续检测到磺胺甲恶唑和磺胺吡啶。聚乙烯(约60%)是主要的MP类型;雷克雅未克的进水MP负荷最高(8200个MP/立方米)。虽然处理降低了ARG、抗生素残留和较大的MP,但对细颗粒和关键ARG(包括碳青霉烯酶和超广谱β-内酰胺酶相关基因)的效果较差。临床相关的ARG和潜在病原体(如鲍曼不动杆菌、铜绿假单胞菌)在出水中仍然存在,凸显了对下游生态系统的风险。这些发现强调了定期监测进水和出水以评估处理效果和保障环境健康的必要性。