Detection of enteroviruses in urban sewage by next generation sequencing and its application in environmental surveillance.

Environmental surveillance has been used successfully in monitoring enterovirus (EV) circulation; however cell culture method may introduce a selective bias in those EV strains that are recovered from the environment. In this study, urban sewage samples were collected monthly in Jinan, China in 2018 and concentrated via membrane adsorption/elution method. A P1 seminested RT-PCR (RT-snPCR) and NGS method was developed, by which amplicons of 4000 nucleotide in length covering the entire P1 region of EVs were obtained from sewage concentrates and were further analyzed by next generation sequencing (NGS). In addition, for each sewage concentrate, two other assays - cell culture and NGS based partial VP1 amplicon sequencing - were conducted in parallel and compared. The results showed that the P1 RT-snPCR and NGS method generated the most data, with 32 serotypes identified belonging to species EV-A (n = 11), EV-B (n = 14), and EV-C (n = 7). These serotypes covered all those detected from the methods of cell culture (n = 10) and partial VP1 amplicon sequencing (n = 16). EV serotypes from acute flaccid paralysis surveillance correlated with those from sewage. Phylogenetic analysis on coxsackievirus B5, a common pathogen of meningitis, revealed close genetic relationship between environmental and clinical sequences. These results demonstrate sewage contains different EVs related to a variety of diseases. Traditional cell culture method underestimates the existence of some serotypes. NGS based environmental surveillance provides data which are consistent with those from clinical diseases, greatly improves our understanding on the actual circulation in the population, and should be encouraged for public health surveillance.
Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
(Copyright © 2020. Published by Elsevier B.V.)