Water Desalination and Reuse Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
Water Desalination and Reuse Center, Division of Biological and Environmental Science and Engineering, King Abdullah University of Science and Technology, Thuwal, Saudi Arabia.
Appl Environ Microbiol. 2020 Aug 3;86(16). doi: 10.1128/AEM.00724-20.
Many biological contaminants are disseminated through water, and their occurrence has potential detrimental impacts on public and environmental health. Conventional monitoring tools rely on cultivation and are not robust in addressing modern water quality concerns. This review proposes metagenomics as a means to provide a rapid, nontargeted assessment of biological contaminants in water. When further coupled with appropriate methods (e.g., quantitative PCR and flow cytometry) and bioinformatic tools, metagenomics can provide information concerning both the abundance and diversity of biological contaminants in reclaimed waters. Further correlation between the metagenomic-derived data of selected contaminants and the measurable parameters of water quality can also aid in devising strategies to alleviate undesirable water quality. Here, we review metagenomic approaches (i.e., both sequencing platforms and bioinformatic tools) and studies that demonstrated their use for reclaimed-water quality monitoring. We also provide recommendations on areas of improvement that will allow metagenomics to significantly impact how the water industry performs reclaimed-water quality monitoring in the future.
许多生物污染物通过水传播，其存在对公众和环境健康具有潜在的不利影响。传统的监测工具依赖于培养，无法有效应对现代水质问题。本综述提出了宏基因组学作为一种快速、非靶向评估水中生物污染物的方法。当与适当的方法（如定量 PCR 和流式细胞术）和生物信息学工具进一步结合时，宏基因组学可以提供有关再生水中生物污染物丰度和多样性的信息。选定污染物的宏基因组衍生数据与水质可测量参数之间的进一步相关性也有助于制定策略来减轻不良水质。在这里，我们综述了宏基因组学方法（即测序平台和生物信息学工具）以及证明其用于再生水水质监测的研究。我们还就改进领域提出了建议，这将使宏基因组学能够显著影响未来水行业如何进行再生水水质监测。
