Variable cyanobacterial death modes caused by ciprofloxacin in the aquatic environment: Prioritizing antibiotic-photosynthetic protein interactions for risk assessment

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-03-01 Epub Date: 2024-11-29 DOI:10.1016/j.watres.2024.122885
Yinjie Zhu , Shishi Yao , Xiaoxiong Wang , Jian Wang , Huansheng Cao , Yi Tao
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Abstract

Antibiotics continuously discharged into the aquatic environment pose threats to phototrophs via high-affinity binding to photosynthetic apparatuses and interfering with their energy metabolism and growth. However, studies attributed the sublethal effects of antibiotics on phototrophs to damaging photosystem (PS) II (PSII) proteins while neglecting PSI proteins as potential targets. Herein, we report that frequently detected ciprofloxacin (CIP) with concentrations of 3–8 μg/L was lethal to Microcystis aeruginosa, the widely distributed phytoplankton in freshwater, via damaging DNA. Besides, CIP damages on different photosynthetic proteins at different exposure levels were evidenced to influence the cyanobacterial death phenotypes. In detail, CIP at 3 μg/L bound to PSII D1 protein exclusively, activating the tricarboxylic acid cycle for energy and proline catabolism. This favored the execution of apoptosis-like regulated cell death (RCD). However, CIP at 8 μg/L exhibited additional binding to the PSI iron-sulfur reaction center, apart from PSII, inducing carbon and arginine starvation. This shifted the RCD from apoptosis-like RCD to mazEF-mediated RCD. Furthermore, microcystin-LR risks were elevated after CIP exposure with enhanced microcystin-LR release and biosynthesis for apoptosis-like and mazEF-mediated RCD, respectively. Thus, the present study underscores the intricate interactions between antibiotics and different photosynthetic apparatuses, which alter antibiotic lethal effects at different exposure levels. This could provide new perspectives on the risk assessment and prediction of antibiotics from the standpoint of chemical-photosynthesis interactions.

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水生环境中环丙沙星引起的各种蓝藻死亡模式:优先考虑抗生素-光合蛋白相互作用的风险评估
抗生素持续排放到水生环境中,通过与光合器官的高亲和力结合,干扰光合器官的能量代谢和生长,对光养生物构成威胁。然而,研究将抗生素对光养生物的亚致死作用归因于破坏光系统(PS) II (PSII)蛋白,而忽视了PSI蛋白作为潜在靶点。本文报道了常检出的浓度为3 ~ 8 μg/L的环丙沙星(ciprofloxacin, CIP)对淡水中广泛分布的浮游植物铜绿微囊藻(Microcystis aeruginosa)可通过破坏DNA致死性。此外,不同暴露水平下CIP对不同光合蛋白的损伤影响了蓝藻的死亡表型。3 μg/L的CIP特异性结合PSII D1蛋白,激活三羧酸循环进行能量和脯氨酸的分解代谢。这有利于细胞凋亡样调节细胞死亡(RCD)的执行。而在8 μg/L浓度下,除PSII外,CIP还与PSI铁硫反应中心结合,诱导碳和精氨酸饥饿。这将RCD从凋亡样RCD转变为mazef介导的RCD。此外,暴露于CIP后,微囊藻毒素lr的风险升高,微囊藻毒素lr的释放和生物合成分别增强,导致细胞凋亡样RCD和mazef介导的RCD。因此,本研究强调了抗生素与不同光合装置之间复杂的相互作用,这改变了抗生素在不同暴露水平下的致死效应。这可以从化学-光合作用相互作用的角度为抗生素的风险评估和预测提供新的视角。
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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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