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通过数字PCR和宏基因组学进行城市规模的抗生素抗性基因监测。

City-scale monitoring of antibiotic resistance genes by digital PCR and metagenomics.

作者信息

Maestre-Carballa Lucia, Navarro-López Vicente, Martinez-Garcia Manuel

机构信息

Department of Physiology, Genetics, and Microbiology, University of Alicante, Carretera San Vicente del Raspeig, San Vicente del Raspeig, Alicante, 03690, Spain.

Instituto Multidisciplinar para el Estudio del Medio Ramon Margalef, University of Alicante, San Vicente del Raspeig, Alicante, 03690, Spain.

出版信息

Environ Microbiome. 2024 Mar 15;19(1):16. doi: 10.1186/s40793-024-00557-6.

Abstract

BACKGROUND

Anthropogenic activities significantly contribute to the dissemination of antibiotic resistance genes (ARGs), posing a substantial threat to humankind. The development of methods that allow robust ARG surveillance is a long-standing challenge. Here, we use city-scale monitoring of ARGs by using two of the most promising cutting-edge technologies, digital PCR (dPCR) and metagenomics.

METHODS

ARG hot-spots were sampled from the urban water and wastewater distribution systems. Metagenomics was used to provide a broad view of ARG relative abundance and richness in the prokaryotic and viral fractions. From the city-core ARGs in all samples, the worldwide dispersed sul2 and tetW conferring resistance to sulfonamide and tetracycline, respectively, were monitored by dPCR and metagenomics.

RESULTS

The largest relative overall ARG abundance and richness were detected in the hospital wastewater and the WWTP inlet (up to ≈6,000 ARGs/Gb metagenome) with a large fraction of unclassified resistant bacteria. The abundance of ARGs in DNA and RNA contigs classified as viruses was notably lower, demonstrating a reduction of up to three orders of magnitude compared to contigs associated to prokaryotes. By metagenomics and dPCR, a similar abundance tendency of sul2 and tetW was obtained, with higher abundances in hospital wastewater and WWTP input (≈125-225 ARGs/Gb metagenome). dPCR absolute abundances were between 6,000 and 18,600 copies per ng of sewage DNA (≈10 copies/mL) and 6.8 copies/mL in seawater near the WWTP discharging point.

CONCLUSIONS

dPCR was more sensitive and accurate, while metagenomics provided broader coverage of ARG detection. While desirable, a reliable correlation of dPCR absolute abundance units into metagenomic relative abundance units was not obtained here (r < 0.4) suggesting methodological factors that introduce variability. Evolutionary pressure does not significantly select the targeted ARGs in natural aquatic environments.

摘要

背景

人为活动显著促进了抗生素抗性基因(ARGs)的传播,对人类构成了重大威胁。开发能够进行可靠的ARGs监测的方法是一项长期挑战。在此,我们利用两种最有前景的前沿技术——数字PCR(dPCR)和宏基因组学,对城市规模的ARGs进行监测。

方法

从城市供水和污水分配系统中采集ARGs热点样本。宏基因组学用于全面了解原核生物和病毒组分中ARGs的相对丰度和丰富度。通过dPCR和宏基因组学对所有样本中来自城市核心区域的、分别赋予对磺胺类药物和四环素抗性的全球广泛分布的sul2和tetW进行监测。

结果

在医院废水和污水处理厂进水口检测到相对总体ARGs丰度和丰富度最高(高达约6000个ARGs/千兆碱基宏基因组),其中很大一部分是未分类的抗性细菌。归类为病毒的DNA和RNA重叠群中的ARGs丰度显著较低,与原核生物相关的重叠群相比,显示出降低了多达三个数量级。通过宏基因组学和dPCR,获得了sul2和tetW相似的丰度趋势,在医院废水和污水处理厂进水口丰度更高(约125 - 225个ARGs/千兆碱基宏基因组)。dPCR绝对丰度在每纳克污水DNA中为6000至18600拷贝(约10拷贝/毫升),在污水处理厂排放点附近的海水中为6.8拷贝/毫升。

结论

dPCR更灵敏和准确,而宏基因组学提供了更广泛的ARGs检测覆盖范围。虽然理想,但在此未获得dPCR绝对丰度单位与宏基因组相对丰度单位的可靠相关性(r < 0.4),表明存在引入变异性的方法学因素。在自然水生环境中,进化压力并未显著选择目标ARGs。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7d7/10943798/19971ef62959/40793_2024_557_Fig1_HTML.jpg

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