Aquaculture oxidant (ClO2) or antibiotic disinfection induces unique bimodal aggregation and boosts exDNA sedimentation: A disinfection-driven great spatial shift of antibiotic resistance risk

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Lizhi He, Ming Zhang, Jiahao Li, Qingdong Duan, Daoyong Zhang, Xiangliang Pan
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Abstract

ClO2 has been ever-increasingly used as an alternative disinfectant to alleviate antibiotic resistance risk in aquaculture. However, the feasibility of ClO2 disinfection in reducing antibiotic resistance has not been clarified yet. We comparatively explored the aggregation mechanisms and their effect on extracellular DNA (exDNA) partition and settlement in disinfected aquaculture waters and natural waters. In contrast to the unimodal aggregation in natural non-aquaculture waters, a unique bimodal size distribution pattern of micron-sized aggregates was found in aquaculture waters regardless of the disinfectants (macro-aggregates – 200-700 μm in diameter and micro-aggregates – 2-200 μm in diameter). The bimodal aggregates had 2-4 orders of magnitude higher content of Ferron cations and enriched hundred-fold exDNA in aquaculture waters than in natural waters. ExDNA was adsorbed on the surface of aggregates and conglutinated mainly by carbohydrates and coagulative cations. Macro-aggregates had lower fractal dimension but greater sedimentation velocities compared with micro-aggregates. Polylithionite was the key ballast mineral facilitating fast sedimentation of aggregates in aquaculture waters. Loading more antibiotic resistance genes and mobile gene elements, the aquaculture aggregates sank more rapidly from water to sediments than the natural-water aggregates. It indicates that disinfection with ClO2 or antibiotics facilitated the spatial transfer of antibiotic resistance risk with high horizontal transfer potential from water column to sediment through forming bimodal aggregates. These findings imply that the adoption of antibiotic alternatives such as the oxidant of ClO2 is far from sufficient to alleviate antibiotic resistance in aquaculture.

Abstract Image

水产养殖氧化剂(ClO2)或抗生素消毒会诱发独特的双峰聚集并促进外DNA沉积:消毒驱动的抗生素耐药性风险空间大转移
ClO2 已被越来越多地用作替代消毒剂,以减轻水产养殖中的抗生素耐药性风险。然而,ClO2 消毒在降低抗生素耐药性方面的可行性尚未明确。我们比较探讨了水产养殖水域和天然水域中的聚集机制及其对细胞外 DNA(exDNA)分配和沉降的影响。与天然非养殖水域中的单峰聚集不同,在养殖水域中,无论使用何种消毒剂,都发现了一种独特的微米级聚集体的双峰大小分布模式(大聚集体--直径 200-700 μm,微聚集体--直径 2-200 μm)。与自然水域相比,养殖水域中的双峰聚集体的费伦阳离子含量高出 2-4 个数量级,并富集了数百倍的 exDNA。ExDNA 被吸附在聚集体表面,并主要由碳水化合物和凝结阳离子凝集。与微聚集体相比,大聚集体的分形维度较低,但沉降速度较大。多硫铁矿是促进养殖水体中聚集体快速沉积的关键压载矿物。与自然水域的聚集体相比,水产养殖聚集体含有更多的抗生素耐药基因和移动基因元素,从水中沉入沉积物的速度更快。这表明,用 ClO2 或抗生素消毒可通过形成双峰聚集体,促进抗生素耐药性风险从水体向沉积物的空间转移,并具有较高的水平转移潜力。这些发现意味着,采用抗生素替代品(如 ClO2 氧化剂)远不足以减轻水产养殖中的抗生素耐药性。
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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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