Abstract: Land-based pollution is mainly discharged into the ocean through sewage outlets, which seriously damages the ecological security of the ocean. Therefore, it is critical to strengthen the monitoring of sewage outlets. The wastewater discharged from the sewage outlet consists of two pollution categories: chemical pollutants and biological pollutants. Biological pollutants include pathogenic bacteria and viruses, toxic algae, and antibiotic resistance genes (ARGs). In recent years, the types and the amounts of discharges for biological pollutants have been increasing, which requires higher demands for rapid detection. Thus, it is essential to develop a detection technique covering all the above biological pollutants. Metagenomic sequencing can detect the dynamics of all biogenetic material and is the ideal solution for wastewater surveillance. This paper first elaborates on the principle and milestones of metagenomic sequencing techniques and then reviews the application of metagenomic sequencing on elucidating the abundance and dynamics in pathogenic bacteria and viruses, toxic algae and ARGs in sewage. Based on previous research, we mainly illustrate the workflow of risk assessment for marine sewage outfalls. Given the current state of research, we proposed that absolute quantitative metagenomic sequencing technology combined with a quantitative prediction model can be used for real-time prediction of the epidemics and construction of a sewage early warning system. Above works would provide a theoretical basis and technical support for ensuring public health and marine ecological security.
傅松哲. 宏基因组测序技术在入海排污口污水监测中的研究进展[J]. 大连海洋大学学报, 2022, 37(6): 903-912.
FU Songzhe. Research progress of metagenomic sequencing technology in monitoring of marine sewage outfalls：a review. Journal of Dalian Ocean University, 2022, 37(6): 903-912.
2022, Vol. 37 
