Office of Research and Development, Center for Environmental Measurement and Modeling, US Environmental Protection Agency, 26 Martin Luther King West, Cincinnati, OH 45268, USA.
Office of Research and Development, Center for Environmental Solutions and Emergency Response, US Environmental Protection Agency, 26 Martin Luther King West, Cincinnati, OH 45268, USA.
J Microbiol Methods. 2021 May;184:106174. doi: 10.1016/j.mimet.2021.106174. Epub 2021 Mar 24.
Antimicrobial resistance (AMR) in the environment is a growing global health concern, especially the dissemination of AMR into surface waters due to human and agricultural inputs. Within recent years, research has focused on trying to understand the impact of AMR in surface waters on human, agricultural and ecological health (One Health). While surface water quality assessments and surveillance of AMR have historically utilized culture-based methods, culturing bacteria has limitations due to difficulty in isolating environmental bacteria and the need for a priori information about the bacteria for selective isolation. The use of molecular techniques to analyze AMR at the genetic level has helped to overcome the difficulties with culture-based techniques since they do not require advance knowledge of the bacterial population and can analyze uncultivable environmental bacteria. The aim of this review is to provide an overview of common contemporary molecular methods available for analyzing AMR in surface waters, which include high throughput real-time polymerase chain reaction (HT-qPCR), metagenomics, and whole genome sequencing. This review will also feature how these methods may provide information on human and animal health risks. HT-qPCR works at the nanoliter scale, requires only a small amount of DNA, and can analyze numerous gene targets simultaneously, but may lack in analytical sensitivity and the ability to optimize individual assays compared to conventional qPCR. Metagenomics offers more detailed genomic information and taxonomic resolution than PCR by sequencing all the microbial genomes within a sample. Its open format allows for the discovery of new antibiotic resistance genes; however, the quantity of DNA necessary for this technique can be a limiting factor for surface water samples that typically have low numbers of bacteria per sample volume. Whole genome sequencing provides the complete genomic profile of a single environmental isolate and can identify all genetic elements that may confer AMR. However, a main disadvantage of this technique is that it only provides information about one bacterial isolate and is challenging to utilize for community analysis. While these contemporary techniques can quickly provide a vast array of information about AMR in surface waters, one technique does not fully characterize AMR nor its potential risks to human, animal, or ecological health. Rather, a combination of techniques (including both molecular- and culture-based) are necessary to fully understand AMR in surface waters from a One Health perspective.
环境中的抗微生物药物耐药性(AMR)是一个日益严重的全球健康问题,特别是由于人类和农业投入,AMR 传播到地表水中。近年来,研究的重点一直是试图了解地表水中 AMR 对人类、农业和生态健康(One Health)的影响。虽然地表水质评估和 AMR 监测传统上都使用基于培养的方法,但由于难以分离环境细菌以及需要对选择性分离的细菌进行先验信息,因此培养细菌存在局限性。利用分子技术在遗传水平上分析 AMR 有助于克服基于培养的技术的困难,因为它们不需要预先了解细菌种群的情况,并且可以分析无法培养的环境细菌。本综述的目的是概述目前可用于分析地表水中 AMR 的常见分子方法,包括高通量实时聚合酶链反应(HT-qPCR)、宏基因组学和全基因组测序。本综述还将介绍这些方法如何提供有关人类和动物健康风险的信息。HT-qPCR 在纳升级别上工作,仅需要少量 DNA,并且可以同时分析多个基因靶标,但与常规 qPCR 相比,可能在分析灵敏度和优化单个测定方面存在不足。宏基因组学通过对样品中所有微生物基因组进行测序,提供比 PCR 更详细的基因组信息和分类分辨率。其开放式格式允许发现新的抗生素耐药基因;然而,对于 DNA 数量通常是每个样品体积中细菌数量低的地表水样,这是一个限制因素。全基因组测序提供单个环境分离物的完整基因组谱,并可以识别可能赋予 AMR 的所有遗传元素。然而,该技术的一个主要缺点是,它仅提供有关单个细菌分离物的信息,并且难以用于群落分析。虽然这些现代技术可以快速提供有关地表水中 AMR 的大量信息,但没有一种技术可以完全描述 AMR 及其对人类、动物或生态健康的潜在风险。相反,从 One Health 的角度来看,需要结合使用分子和基于培养的技术来全面了解地表水中的 AMR。