Deciphering key traits and dissemination of antibiotic resistance genes and degradation genes in pharmaceutical wastewater receiving environments

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-05-01 Epub Date: 2025-02-02 DOI:10.1016/j.watres.2025.123241
Lu-Kai Qiao , Liang-Ying He , Fang-Zhou Gao , Zheng Huang , Hong Bai , Yi-Chun Wang , Yi-Jing Shi , You-Sheng Liu , Jian-Liang Zhao , Guang-Guo Ying
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Abstract

Discharge of pharmaceutical wastewater significantly affects the receiving environments. However, the development of antibiotic resistance and microbial enzymatic degradation in wastewater-receiving soils and rivers remains unclear. This study investigated a sulfonamide-producing factory to explore the distribution of antibiotic resistance genes (ARGs) in the receiving river and soil environments (0–100 cm depth), and the potential hosts of sadABC genes (sulfonamide-degrading genes) as well as their phylogenetic characterization. We identified plentiful ARGs (28 types and 1065 subtypes) and their hosts (30 phyla and 340 MAGs) in three media (surface water, sediment, and soil). Results indicated that the abundances of total resistome in water and sediment of receiving river (0–1.5 km) were higher than the global river resistome median levels. Wastewater significantly affected the soil resistome, leading to an average 5-fold increase in ARG abundance, and a 22-fold enrichment of sulfonamide ARGs. The abundance and diversity of soil resistome decreased significantly with depth, and the abundance was below the global soil resistome median level at the depth greater than 20 cm. The detection of 17 risk rank I ARGs and the enrichment of multidrug-resistant pathogenic bacteria in soil and river highlighted the resistance risks in the environments. Notably, 73 sadABC-carrying contigs were detected, which were mainly hosted by Microbacteriaceae and some other previously unreported bacteria, such as Mycobacteriaceae spp. The findings offer valuable insights into antimicrobial resistance (AMR) risk assessment and the bioremediation of sulfonamides pollution in the environment affected by pharmaceutical wastewater.

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破译制药废水接收环境中抗生素耐药基因和降解基因的关键特征和传播。
制药废水的排放对接收环境产生了重大影响。然而,在污水接收土壤和河流中抗生素耐药性和微生物酶降解的发展尚不清楚。本研究以某磺胺生产工厂为研究对象,探讨抗生素耐药基因(ARGs)在接收河流和土壤环境(0 ~ 100 cm深度)中的分布,以及sadABC基因(磺胺降解基因)的潜在宿主及其系统发育特征。我们在地表水、沉积物和土壤三种介质中发现了大量的ARGs(28种类型和1065种亚型)及其寄主(30门和340种mag)。结果表明:接收河流(0 ~ 1.5 km)水体和沉积物中总抗性组丰度高于全球河流抗性组中值;废水显著影响了土壤抗性组,导致ARG丰度平均增加5倍,磺胺类ARG富集22倍。土壤抗性组的丰度和多样性随深度显著降低,在深度大于20 cm时,丰度低于全球土壤抗性组中位数水平。17个风险等级为1级的ARGs的检测以及土壤和河流中多重耐药病原菌的富集凸显了环境中的耐药风险。值得注意的是,检测到73个携带sadabc的contigs,这些contigs主要由microbacteraceae和其他一些以前未报道的细菌(如Mycobacteriaceae spp)携带,这为制药废水中磺胺类药物污染的生物修复和抗菌素耐药性(AMR)风险评估提供了有价值的见解。
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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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