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医院污水处理系统中微生物和病毒群落及其抗生素抗性基因

Microbial and Viral Communities and Their Antibiotic Resistance Genes Throughout a Hospital Wastewater Treatment System.

作者信息

Petrovich Morgan L, Zilberman Adi, Kaplan Aviv, Eliraz Gefen R, Wang Yubo, Langenfeld Kathryn, Duhaime Melissa, Wigginton Krista, Poretsky Rachel, Avisar Dror, Wells George F

机构信息

Department of Civil and Environmental Engineering, Northwestern University, Evanston, IL, United States.

The Water Research Center, School of The Environment and Earth Sciences, Faculty of Exact Sciences, Tel Aviv University, Tel Aviv, Israel.

出版信息

Front Microbiol. 2020 Feb 19;11:153. doi: 10.3389/fmicb.2020.00153. eCollection 2020.

DOI:10.3389/fmicb.2020.00153
PMID:32140141
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7042388/
Abstract

Antibiotic resistance poses a serious threat to global public health, and antibiotic resistance determinants can enter natural aquatic systems through discharge of wastewater effluents. Hospital wastewater in particular is expected to contain high abundances of antibiotic resistance genes (ARGs) compared to municipal wastewater because it contains human enteric bacteria that may include antibiotic-resistant organisms originating from hospital patients, and can also have high concentrations of antibiotics and antimicrobials relative to municipal wastewater. Viruses also play an important role in wastewater treatment systems since they can influence the bacterial community composition through killing bacteria, facilitating transduction of genetic material between organisms, and modifying the chromosomal content of bacteria as prophages. However, little is known about the fate and connections between ARGs, viruses, and their associated bacteria in hospital wastewater systems. To address this knowledge gap, we characterized the composition and persistence of ARGs, dsDNA viruses, and bacteria from influent to effluent in a pilot-scale hospital wastewater treatment system in Israel using shotgun metagenomics. Results showed that ARGs, including genes conferring resistance to antibiotics of high clinical relevance, were detected in all sampling locations throughout the pilot-scale system, with only 16% overall depletion of ARGs per genome equivalent between influent and effluent. The most common classes of ARGs detected throughout the system conferred resistance to aminoglycoside, cephalosporin, macrolide, penam, and tetracycline antibiotics. A greater proportion of total ARGs were associated with plasmid-associated genes in effluent compared to in influent. No strong associations between viral sequences and ARGs were identified in viral metagenomes from the system, suggesting that phage may not be a significant vector for ARG transfer in this system. The majority of viruses in the pilot-scale system belonged to the families , , and . Gammaproteobacteria was the dominant class of bacteria harboring ARGs and the most common putative viral host in all samples, followed by Bacilli and Betaproteobacteria. In the total bacterial community, the dominant class was Betaproteobacteria for each sample. Overall, we found that a variety of different types of ARGs and viruses were persistent throughout this hospital wastewater treatment system, which can be released to the environment through effluent discharge.

摘要

抗生素耐药性对全球公共卫生构成严重威胁,抗生素耐药性决定因素可通过废水排放进入天然水生系统。与城市污水相比,医院污水预计含有大量的抗生素耐药基因(ARGs),因为它含有人类肠道细菌,其中可能包括源自医院患者的抗生素耐药生物,并且相对于城市污水,其抗生素和抗菌剂的浓度也可能很高。病毒在废水处理系统中也起着重要作用,因为它们可以通过杀死细菌、促进生物体之间遗传物质的转导以及作为原噬菌体改变细菌的染色体含量来影响细菌群落组成。然而,对于医院污水系统中ARGs、病毒及其相关细菌的归宿和联系知之甚少。为了填补这一知识空白,我们使用鸟枪法宏基因组学对以色列一个中试规模医院污水处理系统中从进水到出水的ARGs、双链DNA病毒和细菌的组成及持久性进行了表征。结果表明,在整个中试规模系统中的所有采样点都检测到了ARGs(包括赋予对具有高度临床相关性抗生素耐药性的基因),进水和出水之间每个基因组当量的ARGs总体仅减少了16%。在整个系统中检测到的最常见ARGs类别赋予对氨基糖苷类、头孢菌素类、大环内酯类、青霉烯类和四环素类抗生素的耐药性。与进水相比,出水中总ARGs中与质粒相关基因相关的比例更大。在该系统的病毒宏基因组中未发现病毒序列与ARGs之间有强关联,这表明噬菌体可能不是该系统中ARG转移的重要载体。中试规模系统中的大多数病毒属于 、 和 科。γ-变形菌是携带ARGs的主要细菌类别,也是所有样本中最常见的假定病毒宿主类别,其次是芽孢杆菌和β-变形菌。在总细菌群落中,每个样本的优势类别是β-变形菌。总体而言,我们发现各种不同类型的ARGs和病毒在整个医院污水处理系统中都具有持久性,它们可通过废水排放释放到环境中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/7042388/1f28dd76286f/fmicb-11-00153-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/7042388/2e4aa0f6810e/fmicb-11-00153-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/7042388/0ea2453862e4/fmicb-11-00153-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/7042388/a22523b986e3/fmicb-11-00153-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/7042388/1f28dd76286f/fmicb-11-00153-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/7042388/2e4aa0f6810e/fmicb-11-00153-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/7042388/0ea2453862e4/fmicb-11-00153-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/7042388/a22523b986e3/fmicb-11-00153-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7e52/7042388/1f28dd76286f/fmicb-11-00153-g004.jpg

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