用于公共卫生监测的污水处理厂抗生素耐药基因和微生物群落的季节性变化评估

IF 7.6 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Environmental Pollution Pub Date : 2025-05-02 DOI:10.1016/j.envpol.2025.126367

Abhishek Keer , Yukti Oza , Dattatray Mongad , Dinesh Ramakrishnan , Dhiraj Dhotre , Abdelfattah Ahmed , Alimuddin Zumla , Yogesh Shouche , Avinash Sharma

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引用次数: 0

摘要

抗菌素耐药性（AMR）在全球的传播，特别是在人口众多的城市，是一个主要问题。因此，本研究旨在鉴定印度马哈拉施特拉邦浦那市六个污水处理厂（STPs）的抗生素耐药细菌、微生物群落组成和抗生素耐药基因的定量。106株分离菌对6种抗生素进行耐药性检测，其中对甲氧苄啶的耐药性最高（24.53%）。7个耐药基因的qPCR分析显示，blaimp-1和mecA基因在夏季和季风季节丰度较高，blaNDM-1基因在夏季和冬季丰度较高。α多样性指数显示，冬季微生物多样性最高，夏季次之，季风季节次之。对比分析显示，夏季、季风季节和冬季，进口样品中数量最多的属分别为双歧杆菌（51%）、假单胞菌（28.7%）和Zoogloea(17.6%)，出口样品中数量最多的属分别为不动杆菌（31%）和黄杆菌（冬季23%，夏季18.2%）。共同网络分析显示，冬季和季风存在正、负相互作用，而夏季只有正相互作用。维恩图显示，出口样品中asv的丰度高于进口样品。与BOD和COD相比，顶部属与pH的相关性完全相反。基于picrust2的功能预测显示，进口样品中甲氧西林耐药、β-内酰胺酶耐药和多药耐药基因丰度较高，出口样品中氯霉素耐药基因丰度较高。此外，我们观察到在所有三个季节都存在引起百日咳、志贺氏菌病和结核病等传染病的潜在病原体。

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Assessment of seasonal variations in antibiotic resistance genes and microbial communities in sewage treatment plants for public health monitoring

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Assessment of seasonal variations in antibiotic resistance genes and microbial communities in sewage treatment plants for public health monitoring

The spread of antimicrobial resistance (AMR) around the globe, especially in the urban cities with high population, is a major concern. Therefore, the current study aims at identifying antibiotic resistant bacteria, microbial community compositions and the quantification of antimicrobial resistant genes from six sewage treatment plants (STPs) across Pune city in Maharashtra, India. A total of 106 isolates obtained were tested against six antibiotics in which the highest resistance was observed against trimethoprim (24.53 %). The qPCR assays of seven antibiotic resistance genes revealed abundance of bla_imp-1 and mecA genes in the summer and monsoon seasons followed by bla_NDM-1 gene in the summer and winter seasons. The alpha diversity indices depicted highest microbial diversity of inlet samples during winter, followed by inlet samples during the summer and monsoon seasons. Comparative analysis revealed Bifidobacterium (51 %), Pseudomonas (28.7 %) and Zoogloea (17.6 %) as the most abundant genera in the inlet samples during the summer, monsoon and winter seasons respectively while Acinetobacter (31 %) and Flavobacterium (23 % in winter and 18.2 % in summer) dominated the outlet samples. The co-network analysis revealed positive and negative interactions in the winter and monsoon but only positive interactions in the summer season. Venn diagrams showed higher abundance of ASVs in the outlet samples than the inlet. The top genera correlated exactly opposite with the pH compared to BOD and COD. PICRUSt2-based functional prediction revealed a higher abundance of methicillin resistance, β-lactamase resistance and multidrug resistance genes in inlet samples while chloramphenicol resistance was found higher in outlet samples. Further, we observed that potential pathogens causing infectious disease such as pertussis, shigellosis and tuberculosis were present in all three seasons.

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来源期刊

Environmental Pollution 环境科学-环境科学

CiteScore

16.00

自引率

6.70%

发文量

2082

审稿时长

2.9 months

期刊介绍： Environmental Pollution is an international peer-reviewed journal that publishes high-quality research papers and review articles covering all aspects of environmental pollution and its impacts on ecosystems and human health. Subject areas include, but are not limited to: • Sources and occurrences of pollutants that are clearly defined and measured in environmental compartments, food and food-related items, and human bodies; • Interlinks between contaminant exposure and biological, ecological, and human health effects, including those of climate change; • Contaminants of emerging concerns (including but not limited to antibiotic resistant microorganisms or genes, microplastics/nanoplastics, electronic wastes, light, and noise) and/or their biological, ecological, or human health effects; • Laboratory and field studies on the remediation/mitigation of environmental pollution via new techniques and with clear links to biological, ecological, or human health effects; • Modeling of pollution processes, patterns, or trends that is of clear environmental and/or human health interest; • New techniques that measure and examine environmental occurrences, transport, behavior, and effects of pollutants within the environment or the laboratory, provided that they can be clearly used to address problems within regional or global environmental compartments.