SARS-CoV-2 surveillance-based on municipal solid waste leachate in Brazil
Authors:
- Natália Maria LanzariniNLNatália Maria Lanzarini
- Camille Ferreira MannarinoCMCamille Ferreira Mannarino
- André Vinicius Costa RibeiroARAndré Vinicius Costa Ribeiro
- Tatiana PradoTPTatiana Prado
- Leonardo Saboia VahiaLVLeonardo Saboia Vahia
- Marilda Mendonça SiqueiraMSMarilda Mendonça Siqueira
- Paola Cristina ResendePRPaola Cristina Resende
- Bianca Ramalho QuintaesBQBianca Ramalho Quintaes
- Marize Pereira MiagostovichMMMarize Pereira Miagostovich
Open Access
- 27 April 2023
- journal article
- research article
- Published by Springer Nature in Environmental Science and Pollution Research
- Vol. 30 (25) , 67368-67377
Abstract
Municipal solid waste leachate-based epidemiology is an alternative viral tracking tool that applies fresh truck leachate as an early warning of public health emergencies. This study aimed to investigate the potential of SARS-CoV-2 surveillance based on solid waste fresh truck leachate. Twenty truck leachate samples were ultracentrifugated, nucleic acid extracted, and real-time RT-qPCR SARS-CoV-2 N1/N2 applied. Viral isolation, variant of concern (N1/N2) inference, and whole genome sequencing were also performed. SARS-CoV-2 was detected on 40% (8/20) of samples, with a concentration from 2.89 to 6.96 RNA Log10 100 mL−1. The attempt to isolate SARS-CoV-2 and recover the whole genome was not successful; however, positive samples were characterized as possible pre-variant of concern (pre-VOC), VOC Alpha (B.1.1.7) and variant of interest Zeta (P.2). This approach revealed an alternative tool to infer SARS-CoV-2 in the environment and may help the management of local surveillance, health, and social policies. Graphical AbstractKeywords
Funding Information
- Fundação Oswaldo Cruz (Inova-Fiocruz, PAEF-2/IOC/Fiocruz, DECIT/MoH)
- Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (E-26/211.514/2021, E-26/202.821/2018(238709))
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (Research Productivity Fellowship)
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