水生真菌入侵增加微生物风险的前提管道系统:新的见解,水质,细菌群落和病原体的功能

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Xiang Liu, Tingting Pei, Haihan Zhang, Sixuan Pan, Guilin Wu, Ben Ma, Raju Sekar, Zhongbing Chen, Feng Ju, Jianhua Guo
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引用次数: 0

摘要

饮用水中的真菌会造成潜在的生物危害,因为处理厂只能部分去除它们。有活力的真菌和真菌衍生的有机物进入住宅管道系统的潜在生态影响仍然不确定。在这项研究中,我们建立了管道系统来研究真菌和真菌溶解有机物(DOM)对水质、微生物稳定性和病原体功能的影响。在停滞条件下,真菌和真菌DOM在管道系统中的积累导致氨氮和亚硝酸盐氮浓度峰值分别比对照组增加了3.0倍和6.5倍。在真菌和真菌DOM存在的情况下,饮用水中细胞总数和三磷酸腺苷(adenosine triphosphate, ATP)含量随时间的增加先升高后降低,细菌对l -丝氨酸和l -天冬酰胺的利用能力增加。真菌和真菌DOM都改变了饮用水中的细菌群落结构。值得注意的是,真菌和真菌DOM的入侵增加了饮用水中mendocina假单胞菌、Phocaeicola plebeius和铜绿假单胞菌等条件致病菌的水平。总氮浓度与细菌群落呈显著正相关。我们的研究结果为应对真菌污染的突然增加提供了有效的饮用水安全策略提供了科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Aquatic fungal intrusion increases microbial risk in premise plumbing system: Novel insights into water quality, bacterial community and function of pathogens

Aquatic fungal intrusion increases microbial risk in premise plumbing system: Novel insights into water quality, bacterial community and function of pathogens
Fungi in drinking water pose a potential biohazard because treatment plants only partially remove them. The potential ecological impacts of viable fungi and fungal-derived organic matter entering premise plumbing systems remain uncertain. In this study, we established pipeline systems to examine the impact of fungi and fungal dissolved organic matter (DOM) on water quality, microbial stability, and function of pathogens. Under stagnant conditions, the accumulation of fungi and fungal DOM in the pipeline system caused the peaks of ammonia nitrogen and nitrite nitrogen concentrations to increase by factors of 3.0 and 6.5 times, respectively, compared to the Control group. In the presence of fungi and fungal DOM, the total cell count and adenosine triphosphate (ATP) contents in drinking water initially increased, and then decreased over time, and bacterial utilization capacity for L-serine and L-asparagine increased. Both fungi and fungal DOM altered the bacterial community structure in drinking water. Notably, the intrusion of fungi and fungal DOM increased the level of opportunistic pathogens, such as Pseudomonas mendocina, Phocaeicola plebeius, and Pseudomonas aeruginosa, in drinking water. Total nitrogen concentration showed significant positive correlations with the bacterial community. Our findings provide a scientific basis that can inform effective strategies for drinking water safety in response to sudden increase in fungal contaminations.
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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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